Below is the updated README with the requested sections removed:

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Telegram Bot Creation Tool (For Gemini Agents Toolkit)

telegram-agent-bot helps you build and run Telegram chatbots backed by agents developed using Gemini Agents Toolkit. It provides a simple interface for defining these agents and exposing them through Telegram.

Table of Contents

• Overview
• Requirements
• Installation
• Configuration
• Usage
• How It Works

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Overview

telegram-agent-bot bridges Telegram’s Bot API and the Gemini Agents Toolkit. With minimal setup, you can:

• Create a Telegram bot out of your Gemini Agents Toolkit-based agent.
• Allow the agent to execute custom functions or tasks as defined in your Gemini Agents Toolkit configuration.
• Interact with your intelligent agent in real-time through Telegram conversations.

Important: This library only works with agents built on top of the Gemini Agents Toolkit. It is not a general-purpose framework for any Gemini models; it specifically integrates with the Toolkit’s agent ecosystem.

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Requirements

• Python 3.8+
• Gemini Agents Toolkit configured properly, including a Google Cloud project with Vertex AI and billing enabled. For details, see the Gemini Agents Toolkit README.
• Telegram Bot Token: Obtain one via @BotFather.

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Installation

Once you have your environment ready, simply install from PyPI:

pip install telegram-agent-bot

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Configuration

Set the required environment variables for the Gemini Agents Toolkit:

export GOOGLE_PROJECT=my-google-project
export GOOGLE_API_KEY=my-google-api-key
export GOOGLE_REGION=us-west1 # or another supported region if desired

Set your Telegram token either as an environment variable or pass it directly to the code:

export TELEGRAM_TOKEN=your_telegram_bot_token

If you have custom modules or configurations for your agent, ensure they are on your PYTHONPATH:

export PYTHONPATH=/path/to/gemini-agents-toolkit:$PYTHONPATH

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Usage

Here’s a basic example. The key method create_agent_from_functions_list originates from the Gemini Agents Toolkit. Refer to that repo’s README for more detailed usage and advanced patterns.

from telegram_agent_bot import start_agent_bot
from gemini_agents_toolkit import agent

def create_agent(on_message):
    return agent.create_agent_from_functions_list(
        model_name="gemini-flash-experimental",
        debug=True,
        system_instruction="You are a test agent. Respond concisely and helpfully.",
        on_message=on_message
    )

if __name__ == "__main__":
    start_agent_bot(
        telegram_token="YOUR_TELEGRAM_BOT_TOKEN",
        generate_agent_fn=create_agent
    )

Run it:

python your_bot_launcher.py

Open Telegram and start interacting with your bot. The agent, powered by the Gemini Agents Toolkit, will handle user messages and respond accordingly.

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How It Works

1. Telegram Integration:
   start_agent_bot uses python-telegram-bot to set up handlers for incoming text messages and commands, passing them seamlessly to the agent for processing.

2. Gemini Agents Toolkit Integration:
   The generate_agent_fn callback creates a Gemini Agents Toolkit-based agent. The agent:

   • Interacts with Gemini models through Vertex AI.
   • Executes custom functions you define to provide dynamic responses or perform tasks.

3. Conversation Flow:

   • User messages arrive to the Telegram bot.
   • The bot forwards them to the agent’s on_message callback.
   • The agent responds using its LLM reasoning and custom functions.
   • The bot sends the agent’s response back to the user.

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Happy building! With telegram-agent-bot and the Gemini Agents Toolkit, you can quickly create and deploy powerful LLM-driven agents directly to your Telegram users.