Telegram AI Agent

Imagine a personal assistant in your pocket 📱 that handles your emails 📧, schedule 📅, and to-do lists ✅—all through Telegram. That's what this Telegram AI agent does! 🤖✨

This project provides a personal assistant agent that manages tasks related to your email inbox, calendar, and Notion to-do list. The assistant communicates with you via Telegram, keeping you informed about your schedule, tasks, and emails. The assistant is equipped with sub-agents for handling specific tasks and tools for efficient task management.

Overview

Main Agent: Telegram Assistant Manager

The Telegram Assistant Manager is your personal assistant that orchestrates the tasks and communication between you and the sub-agents. The manager is responsible for:

• Receiving and analyzing your Telegram messages.
• Delegating tasks to the appropriate sub-agent (Email, Calendar, or Notion).
• Communicating updates, messages, and any queries back to you via Telegram.

Sub-Agents

The project includes three specialized sub-agents:

1. Email Agent: can handle all your email-related tasks, including sending emails, retrieving specific emails, and checking for important messages from your contacts list.

2. Calendar Agent: can manage your calendar by creating new events and retrieving and checking your scheduled events.

3. Notion Agent: can manage your to-do list in Notion, helping you add, remove, or check tasks as needed

All the sub-agents report back to the Telegram Assistant Manager after completing their respective tasks.

System Flowchart

This is the detailed flow of the assistant:

Tech Stack

• LangGraph & LangChain: Frameworks used for building the AI agents and interacting with LLMs (GPT4, LLAMA3, GEMINI)
• LangSmith: For monitoring the different LLM calls and AI agents interactions.
• Google APIs: Provides access to Google services like Calendar, Contacts, and Gmail.
• Notion Client: Interface for interacting with Notion to manage and update to-do lists.

How to Run

Prerequisites

• Python 3.9+
• Google API credentials (for Calendar, Contacts, and Gmail access)
• Notion API key
• Groq API key (for Llama3)
• Google Gemini API key (for using the Gemini model)
• Create a Telegram Bot
• Necessary Python libraries (listed in requirements.txt)

Setup

1. Clone the repository:

   git clone https://github.com/AIXerum/AI-Telegram-Assistant.git
   cd AI-Telegram-Assistant

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Set up environment variables:

   Create a .env file in the root directory of the project and add your API keys, see .env.example to know all the parameters you will need.

5. Configure Google API credentials:

   Follow Google's documentation to set up credentials for Calendar, Contacts, and Gmail APIs. Save the credentials file in a secure location and update the path in the configuration file.

6. Create a Telegram Bot:

To interact with the assistant via Telegram, you will need to create a Telegram bot and obtain the bot token and chat ID. Follow this guide to create your bot and get the necessary information.

7. Run the project:

   python main.py

Usage

• Communicating with the Assistant: Simply send a message to your Telegram bot, and the assistant will analyze the message, delegate the task to the appropriate sub-agent, and report back with the results.