aiogram

name	aiogram
description	Use when building Telegram bots with Python aiogram framework, especially for complex conversational flows with FSM, modular router architecture, middleware patterns, and security requirements. Trigger: when creating a Telegram bot or when the user asks to create a Telegram bot.

Aiogram - Modern Telegram Bot Framework

Overview

Aiogram is a modern, fully asynchronous framework for Telegram Bot API written in Python using asyncio. Designed from the ground up for async/await with native support for Finite State Machines (FSM), router-based architecture, middleware patterns, and comprehensive type hints.

Core advantages:

• Native FSM with persistent storage (Redis, Memory, MongoDB)
• Router-based architecture for modular bot design
• First-class middleware for cross-cutting concerns
• Dependency injection integrated throughout the framework
• Webhook support designed from day one
• 100% type hinted for better IDE support

When to Use

Use aiogram when:

• Building complex conversational bots with multi-step flows
• Needing modular architecture with separate feature routers
• Requiring persistent conversation state across bot restarts
• Implementing custom middleware for auth, logging, or rate limiting
• Deploying with webhooks behind reverse proxies
• Prioritizing modern async patterns and type safety

Consider alternatives when:

• Building extremely simple bots with minimal logic
• Needing synchronous execution (use python-telegram-bot sync mode)
• Working with legacy Python versions (< 3.10)

Core Patterns

Finite State Machine (FSM)

Aiogram's FSM system provides structured conversation flows with state persistence:

from aiogram import Bot, Dispatcher, F, Router
from aiogram.filters import Command, CommandStart
from aiogram.fsm.context import FSMContext
from aiogram.fsm.state import State, StatesGroup
from aiogram.types import Message, ReplyKeyboardMarkup, KeyboardButton, ReplyKeyboardRemove

router = Router()

class OrderForm(StatesGroup):
    waiting_for_product = State()
    waiting_for_quantity = State()
    waiting_for_address = State()

@router.message(CommandStart())
async def cmd_start(message: Message, state: FSMContext) -> None:
    await state.set_state(OrderForm.waiting_for_product)
    await message.answer("What product would you like to order?")

@router.message(OrderForm.waiting_for_product)
async def process_product(message: Message, state: FSMContext) -> None:
    await state.update_data(product=message.text)
    await state.set_state(OrderForm.waiting_for_quantity)
    await message.answer("How many units?")

@router.message(OrderForm.waiting_for_quantity, F.text.regexp(r"^\d+$"))
async def process_quantity(message: Message, state: FSMContext) -> None:
    await state.update_data(quantity=int(message.text))
    await state.set_state(OrderForm.waiting_for_address)
    await message.answer("Please provide delivery address:")

Key concepts:

• StatesGroup defines conversation states as class attributes
• FSMContext manages state transitions and data storage
• State-specific handlers trigger only when user is in that state
• Data persists in storage (Redis, Memory, SQLite, MongoDB)

Storage backends:

from aiogram.fsm.storage.redis import RedisStorage
from aiogram.fsm.storage.memory import MemoryStorage

# Persistent storage (recommended for production)
storage = RedisStorage.from_url(
    "redis://localhost:6379/0",
    state_ttl=3600,  # State expires after 1 hour
    data_ttl=3600    # Data expires after 1 hour
)

# Memory storage (loses data on restart)
storage = MemoryStorage()

dp = Dispatcher(storage=storage)

Router-Based Architecture

Routers enable modular bot design by grouping related handlers:

from aiogram import Router, Dispatcher, Bot
from aiogram.filters import Command
from aiogram.types import Message

# Create separate routers for different features
user_router = Router(name="user")
admin_router = Router(name="admin")
telegram_adapter = Router(name="telegram_adapter")

@user_router.message(Command("profile"))
async def show_profile(message: Message) -> None:
    await message.answer(f"User ID: {message.from_user.id}")

@admin_router.message(Command("stats"))
async def show_stats(message: Message) -> None:
    await message.answer("Bot statistics: 100 users")

# Include routers in dispatcher hierarchically
dp = Dispatcher()
dp.include_router(user_router)
dp.include_router(admin_router)

Benefits:

• Feature isolation and separation of concerns
• Reusable router modules across projects
• Hierarchical inclusion for complex bot structures
• Per-router middleware and filters

Middleware Patterns

Middleware intercepts and processes updates before handlers:

from typing import Any, Callable, Awaitable
from aiogram import BaseMiddleware, Dispatcher, Router
from aiogram.types import Message, TelegramObject
import time

class LoggingMiddleware(BaseMiddleware):
    async def __call__(
        self,
        handler: Callable[[TelegramObject, dict[str, Any]], Awaitable[Any]],
        event: TelegramObject,
        data: dict[str, Any]
    ) -> Any:
        start_time = time.time()
        result = await handler(event, data)
        process_time = time.time() - start_time
        print(f"Handler took {process_time:.3f}s")
        return result

class AuthMiddleware(BaseMiddleware):
    def __init__(self, admin_ids: list[int]):
        self.admin_ids = admin_ids

    async def __call__(
        self,
        handler: Callable[[TelegramObject, dict[str, Any]], Awaitable[Any]],
        event: Message,
        data: dict[str, Any]
    ) -> Any:
        # Inject is_admin into handler data
        data["is_admin"] = event.from_user.id in self.admin_ids
        return await handler(event, data)

# Register middlewares globally or per-router
dp = Dispatcher()
dp.message.middleware(LoggingMiddleware())
dp.message.middleware(AuthMiddleware(admin_ids=[123456789]))

Dependency injection:

@router.message(Command("admin"))
async def admin_command(message: Message, is_admin: bool) -> None:
    # is_admin injected by AuthMiddleware
    if is_admin:
        await message.answer("Welcome, admin!")
    else:
        await message.answer("Access denied")

Security Patterns

1. Whitelist authentication:

class WhitelistMiddleware(BaseMiddleware):
    def __init__(self, allowed_user_ids: set[int]):
        self.allowed_user_ids = allowed_user_ids

    async def __call__(self, handler, event: Message, data):
        if event.from_user.id not in self.allowed_user_ids:
            # Silently ignore unauthorized users
            return
        return await handler(event, data)

2. Rate limiting with flags:

from aiogram import flags

@router.message(Command("stats"))
@flags.rate_limit(rate=5, key="stats_command")  # 5 requests per key
async def stats_handler(message: Message) -> None:
    await message.answer("Bot stats: ...")

3. Webhook security:

# Set secret token when configuring webhook
await bot.set_webhook(
    f"{BASE_WEBHOOK_URL}{WEBHOOK_PATH}",
    secret_token=WEBHOOK_SECRET,  # Validates incoming requests
)

# In webhook handler configuration
webhook_requests_handler = SimpleRequestHandler(
    dispatcher=dp,
    bot=bot,
    secret_token=WEBHOOK_SECRET,  # Validates each request
)

4. IP filtering (behind reverse proxy):

# Configure reverse proxy (nginx/traefik) to:
# - Forward requests to http://127.0.0.1:8080/webhook
# - Set X-Forwarded-For header
# - Configure SSL/TLS termination
# - Set X-Telegram-Bot-Api-Secret-Token header

# Bind to localhost only
WEB_SERVER_HOST = "127.0.0.1"
WEB_SERVER_PORT = 8080

5. NEVER hardcode the Telegram bot TOKEN

Always use a library like python_dotenv for loading the Telegram bot token or any sensitive variable.

import os
from dotenv import load_dotenv

# Load sensitive and set them in os.environ
load_dotenv() 

# Get the relevant token
TOKEN = os.getenv('TELEGRAM_BOT_TOKEN')

if not TOKEN:
    raise ValueError("Telegram bot token not found. Cofigure the TELEGRAM_BOT_TOKEN variable.")

# Proceed with the rest of the implementation of the bot

Magic Filter (F) DSL

Powerful filtering without custom filter classes:

from aiogram import Router, F
from aiogram.types import Message, ContentType

router = Router()

# Filter by text content
@router.message(F.text == "hello")
async def exact_match(message: Message) -> None:
    await message.answer("You said hello!")

# Filter by regex pattern
@router.message(F.text.regexp(r"^/order_(\d+)$"))
async def order_pattern(message: Message) -> None:
    await message.answer("Order command received")

# Combine filters with AND/OR
@router.message(F.text.len() > 10, F.text.startswith("!"))
async def long_command(message: Message) -> None:
    await message.answer("Long command received")

# Filter by user attributes
@router.message(F.from_user.username.in_(["admin1", "admin2"]))
async def admin_only(message: Message) -> None:
    await message.answer("Hello, admin!")

Quick Reference

Component	Import	Purpose
Bot	from aiogram import Bot	Main bot instance, sends API calls
Dispatcher	from aiogram import Dispatcher	Root router, manages updates
Router	from aiogram import Router	Modular handler container
FSMContext	from aiogram.fsm.context import FSMContext	State management in handlers
StatesGroup	from aiogram.fsm.state import State, StatesGroup	Define conversation states
BaseMiddleware	from aiogram import BaseMiddleware	Create custom middleware
Magic Filter	from aiogram import F	DSL for filter conditions
Storage	from aiogram.fsm.storage.redis import RedisStorage	Persistent FSM storage

Common storage backends:

• MemoryStorage - In-memory (not persistent)
• RedisStorage - Redis-backed (production)
• MongoStorage - MongoDB-backed
• Custom storage - Implement BaseStorage interface

Implementation Examples

Basic Bot Setup (Polling)

import asyncio
import logging
import os
from aiogram import Bot, Dispatcher, Router
from aiogram.filters import CommandStart
from aiogram.types import Message
from dotenv import load_dotenv

# Loads sensitive and sets them in os.environ
load_dotenv() 

# Gets the relevant token
TOKEN = os.getenv('TELEGRAM_BOT_TOKEN')

if not TOKEN:
    raise ValueError("Telegram token not found. Cofigure the TELEGRAM_BOT_TOKEN variable.")

# Proceed with the rest of the implementation of the bot
router = Router()

@router.message(CommandStart())
async def start_handler(message: Message) -> None:
    await message.answer("Hello!")

async def main():
    bot = Bot(token=TOKEN)
    dp = Dispatcher()
    dp.include_router(router)
    
    await dp.start_polling(bot)

if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO)
    asyncio.run(main())

Webhook Setup with Reverse Proxy

import logging
from os import getenv
from aiohttp import web
from aiogram import Bot, Dispatcher, Router
from aiogram.webhook.aiohttp_server import SimpleRequestHandler, setup_application

TOKEN = getenv("BOT_TOKEN")
WEB_SERVER_HOST = "127.0.0.1"
WEB_SERVER_PORT = 8080
WEBHOOK_PATH = "/webhook"
WEBHOOK_SECRET = "my-secret"
BASE_WEBHOOK_URL = "https://your-domain.com"

router = Router()

async def on_startup(bot: Bot) -> None:
    await bot.set_webhook(
        f"{BASE_WEBHOOK_URL}{WEBHOOK_PATH}",
        secret_token=WEBHOOK_SECRET
    )

def main():
    dp = Dispatcher()
    dp.include_router(router)
    dp.startup.register(on_startup)

    bot = Bot(token=TOKEN)
    app = web.Application()
    webhook_handler = SimpleRequestHandler(
        dispatcher=dp,
        bot=bot,
        secret_token=WEBHOOK_SECRET
    )
    webhook_handler.register(app, path=WEBHOOK_PATH)
    setup_application(app, dp, bot=bot)
    
    web.run_app(app, host=WEB_SERVER_HOST, port=WEB_SERVER_PORT)

if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO)
    main()

Common Mistakes

❌ Using MemoryStorage in Production

Problem: MemoryStorage loses all state on bot restart. Solution: Use RedisStorage or another persistent backend.

❌ Missing Error Handling in Middleware

Problem: Exceptions in middleware break the entire update chain. Solution: Wrap middleware logic in try-except blocks.

❌ Circular Router Dependencies

Problem: Router A includes Router B, which includes Router A. Solution: Design hierarchical router structure without cycles.

❌ Ignoring Webhook Secret Validation

Problem: Anyone can send POST requests to your webhook endpoint. Solution: Always set and validate secret_token in webhook configuration.

❌ Blocking Handlers

Problem: CPU-bound operations block the event loop. Solution: Use asyncio.to_thread() for blocking operations.

❌ Not Using Type Hints

Problem: Missed IDE support and runtime type validation. Solution: Always add type hints to handlers and middleware.

❌ Hardcoding Configuration

Problem: Tokens and settings in source code. Solution: Use environment variables and configuration classes.

Resources

• Official documentation: https://docs.aiogram.dev/
• GitHub repository: https://github.com/aiogram/aiogram
• Telegram API: https://core.telegram.org/bots/api

---

Skill created with information from Context7 MCP documentation. Always verify with official aiogram documentation for the latest patterns and best practices.