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Code

reasoning_agent.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.os.app import AgentOS
from agno.os.interfaces.telegram import Telegram
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools

agent_db = SqliteDb(db_file="tmp/persistent_memory.db")

reasoning_agent = Agent(
    name="Reasoning Research Agent",
    model=OpenAIChat(id="gpt-5.2"),
    db=agent_db,
    tools=[
        ReasoningTools(add_instructions=True),
        DuckDuckGoTools(),
    ],
    instructions="Use tables to display data. When you use thinking tools, keep the thinking brief.",
    add_datetime_to_context=True,
    markdown=True,
)


agent_os = AgentOS(
    agents=[reasoning_agent],
    interfaces=[Telegram(agent=reasoning_agent)],
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="reasoning_agent: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 OPENAI_API_KEY=your-openai-api-key
export APP_ENV=development
3

Install dependencies

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

Run Example

python reasoning_agent.py

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Key Features

  • Chain-of-Thought Reasoning: ReasoningTools enables structured thinking for complex queries
  • Web Search: DuckDuckGo integration for up-to-date information retrieval
  • Data Presentation: Uses tables to display structured data
  • Persistent Memory: SQLite database for session storage