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Declarative, developer-friendly library for building Telegram bots

Project description

TeleKit

TeleKit Library

Telekit is a declarative, developer-friendly library for building Telegram bots. It gives developers a dedicated Sender to manage message composition and a Chain to handle user input and responses. The library also handles message formatting, user input, and callback routing automatically, letting you focus on the bot’s behavior instead of repetitive tasks.

import telekit

class MyBotHandler(telekit.Handler):
    @classmethod
    def init_handler(cls):
        cls.on.command('start').invoke(cls.handle_start)

    def handle_start(self):
        self.chain.sender.set_text("Hello!")
        self.chain.sender.set_photo("robot.png")
        self.chain.send()

telekit.Server("BOT_TOKEN").polling()

Example taken out of context

Telekit comes with a built-in DSL, allowing developers to create fully interactive bots with minimal code. The DSL also supports Jinja templates, providing support for loops, conditionals, expressions, and filters directly within template fields to generate dynamic content.

@ main {
    title   = "🎉 Fun Facts Quiz";
    message = "Test your knowledge with 10 fun questions!";

    buttons {
        question_1("Start Quiz");
    }
}

See the full example

Even in its beta stage, Telekit accelerates bot development, offering ready-to-use building blocks for commands, user interactions, and navigation. Its declarative design makes bots easier to read, maintain, and extend.

Key features:

  • Declarative bot logic with chains for effortless handling of complex workflows
  • Ready-to-use DSL for FAQs and other interactive scripts
  • Automatic handling of message formatting via Sender and callback routing
  • Deep Linking support with type-checked Command Parameters for flexible user input
  • Built-in Permission and Logging system for user management
  • Seamless integration with pyTelegramBotAPI
  • Fast to develop and easy-to-extend code

GitHub PyPi Community Tutorial

Contents

Overview

To get the most out of Telekit, we recommend following the full, step-by-step tutorial that covers everything from installation to advanced features and DSL usage.

Even if you don’t go through the entire guide right now, you can quickly familiarize yourself with the core concepts of Telekit below. This section will introduce you to chains, handlers, message formatting, and some examples, giving you a solid foundation to start building bots right away.

Below is an example of a bot that responds to messages like "My name is {name}":

import telekit

class NameHandler(telekit.Handler):

    @classmethod
    def init_handler(cls) -> None:
        cls.on.text("My name is {name}").invoke(cls.display_name)

    def display_name(self, name: str) -> None:
        self.chain.sender.set_title(f"Hello {name}!")
        self.chain.sender.set_message("Your name has been set. You can change it below if you want")
        self.chain.set_inline_keyboard({"✏️ Change": self.change_name})
        self.chain.edit()

    def change_name(self):
        self.chain.sender.set_title("⌨️ Enter your name...")
        self.chain.sender.set_message("Please, type your new name below:")

        @self.chain.entry_text(delete_user_response=True)
        def name_handler(message, name: str):
            self.display_name(name)

        self.chain.edit()

telekit.Server("TOKEN").polling()

Let’s see how it works in practice 👇

Message formatting:

  • You can configure everything manually:
self.chain.sender.set_text("*Hello, user!*\n\nWelcome to the Bot!")
self.chain.sender.set_parse_mode("markdown")
  • Or let Telekit handle the layout for you:
self.chain.sender.set_title("👋 Hello, user!") # Bold title
self.chain.sender.set_message("Welcome to the Bot!")  # Italic message after the title

Approximate result:

👋 Hello, user!

Welcome to the Bot!

If you want more control, you can use the following methods:

self.chain.sender.set_use_italics(False)
self.chain.sender.set_use_newline(False)
self.chain.sender.set_parse_mode("HTML")
self.chain.sender.set_reply_to(message)
self.chain.sender.set_chat_id(chat_id)

# And this is just the beginning...

Want to add an image, document or an effect in a single line?

self.chain.sender.set_effect(self.chain.sender.Effect.HEART)
self.chain.sender.set_photo("url, bytes or path")
self.chain.sender.set_document("url, bytes or path")
self.chain.sender.set_text_as_document("Hello, this is a text document!")

Telekit decides whether to use bot.send_message or bot.send_photo automatically!

Text Styling with Styles

Telekit provides a convenient style classes to create styled text objects for HTML or Markdown:

Bold("Bold") + " and " + Italic("Italic")

Combine multiple styles:

Strikethrough(Bold("Hello") + Italic("World!"))

Then pass it to set_text, set_title, or other sender methods, and the sender will automatically determine the correct parse_mode.

For more details, see our tutorial

Handling callbacks and Logic

If your focus is on logic and functionality, Telekit is the ideal library:

Inline keyboard with callback support:

# Inline keyboard `label-callback`:
self.chain.set_inline_keyboard(
    {
        "« Change": prompt,  # Executes `prompt()` when clicked
        "Yes »": lambda: print("User: Okay!"),  # Runs this lambda when clicked
        "Youtube": "https://youtube.com"  # Opens a link
    }, row_width=2
)

# Inline keyboard `label-value`:
@self.chain.inline_keyboard({
    "Red": (255, 0, 0),
    "Green": (0, 255, 0),
    "Blue": (0, 0, 255),
}, row_width=3)
def _(message, value: tuple[int, int, int]) -> None:
    r, g, b = value
    self.chain.set_message(f"You selected RGB color: ({r}, {g}, {b})")
    self.chain.edit()

Receiving messages with callback support:

# Receive any message type:
@self.chain.entry(
    filter_message=lambda message: bool(message.text),
    delete_user_response=True
)
def handler(message):
    print(message.text)

# Receive text message:
@self.chain.entry_text()
def name_handler(message, text: str):
    print(text)

# Inline keyboard with suggested options:
chain.set_entry_suggestions(["Suggestion 1", "Suggestion 2"])

# Receive a .zip document:
@self.chain.entry_document(allowed_extensions=(".zip",))
def doc_handler(message: telebot.types.Message, document: telebot.types.Document):
    print(document.file_name, document)

# Receive a text document (Telekit auto-detects encoding):
@self.chain.entry_text_document(allowed_extensions=(".txt", ".js", ".py"))
def text_document_handler(message, text_document: telekit.types.TextDocument):
    print(
        text_document.text,      # "Example\n ..."
        text_document.file_name, # "example.txt"
        text_document.encoding,  # "utf-8"
        text_document.document   # <telebot.types.Document>
    )

Telekit is lightweight yet powerful, giving you a full set of built-in tools and solutions for building advanced Telegram bots effortlessly.

[!TIP] You can find more information about the decorators by checking their doc-strings in Python.

Command Parameters and Deep Linking

Telekit allows you to define commands with typed parameters and handle deep links. This makes it easy to pass arguments directly in the /command parameter call or through a URL link like https://t.me/YourBot?start=parameter.

You can define a command and specify expected parameter types using telekit.parameters:

import telekit
from telekit.parameters import Int, Str

class StartHandler(telekit.Handler):

    @classmethod
    def init_handler(cls) -> None:
        # Define parameters: first an integer, then a string
        cls.on.command("start", params=[Int(-1), Str()]).invoke(cls.handle)
    
    # Default values are required:   ↓↓↓↓                   ↓↓↓↓
    def handle(self, age: int | None=None, name: str | None=None):
        if age is None:
            self.chain.sender.set_text("Please provide your age and name.")
        elif age == -1:
            self.chain.sender.set_text("Invalid age provided.")
        elif name is None:
            self.chain.sender.set_text("Name is missing.")
        else:
            self.chain.sender.set_text(f"Hello {name}! You are {age} years old.")
        
        self.chain.send()

Send /start 21 "Name Surname" to your bot to see it in action.


Quick Start

Telekit is published in PyPI, so it can be installed with one command:

pip install telekit

You can write the entire bot in a single file, but it’s recommended to organize your project using a simple structure like this one:

handlers/
    __init__.py
    start.py    # `/start` handler
    help.py     # `/help` handler
    ...
server.py       # entry point

Here is a server.py example (entry point) for a project on TeleKit

import telekit
import handlers # Package with all your handlers

telekit.Server("BOT_TOKEN").polling()

Here you can see an example of the handlers/__init__.py file:

from . import (
    start, help #, ...
)

Here is an example of defining a handler using TeleKit (handlers/start.py file):

import telekit

class StartHandler(telekit.Handler):

    @classmethod
    def init_handler(cls) -> None:
        ...

One-file bot example (Echo Bot):

import telekit

class EchoHandler(telekit.Handler):

    @classmethod
    def init_handler(cls) -> None:
        cls.on.text().invoke(cls.echo) # accepts all text messages

    def echo(self) -> None:
        self.chain.sender.set_text(f"{self.message.text}!")
        self.chain.send()

telekit.Server("TOKEN").polling()

For a full walkthrough, check out Tutorial or see more Examples


Contact


1.10.0 changelog:

Sender Improvements

  • Message editing error warning has been deleted.

DSL Improvements

  • New variables:
    • next_scene_name – internal name of the next scene
    • next_scene_title – title of the next scene
    • next_scene_message – message text of the next scene
  • Timeout changes:
    • The default value for timeout_time congig is now 300 seconds (5 minutes).
    • Set timeout_time = 0 to disable the timeout.
  • Jinja:
    • The Jinja environment is now shared globally (class attribute).
    • You can configure the environment using:
    cls.set_jinja_env(jinja2.Environment(loader=jinja2.FileSystemLoader("templates")))
    
    • Access the environment via:
    cls.jinja_env
    self.jinja_env
    
  • Internal DSL mixin refactoring

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