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Code

basic.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.google import Gemini
from agno.os.app import AgentOS
from agno.os.interfaces.telegram import Telegram

agent_db = SqliteDb(session_table="telegram_sessions", db_file="tmp/telegram_basic.db")

telegram_agent = Agent(
    name="Telegram Bot",
    model=Gemini(id="gemini-2.5-pro"),
    db=agent_db,
    instructions=[
        "You are a helpful assistant on Telegram.",
        "Keep responses concise and friendly.",
        "When in a group, you respond only when mentioned with @.",
    ],
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
    markdown=True,
)

agent_os = AgentOS(
    agents=[telegram_agent],
    interfaces=[
        Telegram(
            agent=telegram_agent,
            reply_to_mentions_only=True,
        )
    ],
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="basic:app", reload=True)

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Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set Environment Variables

export TELEGRAM_TOKEN=your-bot-token-from-botfather
export GOOGLE_API_KEY=your-google-api-key
export APP_ENV=development
3

Install dependencies

uv pip install -U "agno[telegram]"
4

Run Example

python basic.py

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Key Features

  • Telegram Integration: Responds to direct messages and group @mentions
  • Conversation History: Maintains context with last 3 interactions
  • Persistent Memory: SQLite database for session storage
  • Group Chat Support: Only responds when mentioned in groups
  • DateTime Context: Time-aware responses