Reasoning Agent

An agent with ReasoningTools that thinks step-by-step before answering.

An agent with ReasoningTools that thinks step-by-step before answering. Combines structured reasoning with web search for finance questions.

reasoning_agent.py

"""
Reasoning Agent
===============

An agent with ReasoningTools that thinks step-by-step before answering.
Combines structured reasoning with web search for finance questions.

Key concepts:
  - ``ReasoningTools(add_instructions=True)`` injects chain-of-thought
    prompting into the agent's system message.
  - The agent uses tables for data display and keeps thinking concise.

Slack scopes: app_mentions:read, assistant:write, chat:write, im:history
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.anthropic import Claude
from agno.os.app import AgentOS
from agno.os.interfaces.slack import Slack
from agno.tools.reasoning import ReasoningTools
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------

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

reasoning_finance_agent = Agent(
    name="Reasoning Finance Agent",
    model=Claude(id="claude-sonnet-4-20250514"),
    db=agent_db,
    tools=[
        ReasoningTools(add_instructions=True),
        WebSearchTools(),
    ],
    instructions="Use tables to display data. When you use thinking tools, keep the thinking brief.",
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
    markdown=True,
)

# Setup our AgentOS app
agent_os = AgentOS(
    agents=[reasoning_finance_agent],
    interfaces=[Slack(agent=reasoning_finance_agent)],
)
app = agent_os.get_app()


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    """Run your AgentOS.

    You can see the configuration and available apps at:
    http://localhost:7777/config

    """
    agent_os.serve(app="reasoning_agent:app", reload=True)

Run the Example

1. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U "agno[os,slack]" anthropic ddgs
   
3. Export environment variables

   Mac/Linux

   export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
   export SLACK_SIGNING_SECRET="your_slack_signing_secret_here"
   export SLACK_TOKEN="your_slack_token_here"
   

   $Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
   $Env:SLACK_SIGNING_SECRET="your_slack_signing_secret_here"
   $Env:SLACK_TOKEN="your_slack_token_here"
   
4. Configure Slack

   Complete Slack setup: create and install the app, expose the server through public HTTPS, and add the scopes listed in the example. The default event request URL is <public-url>/slack/events; HITL examples also use <public-url>/slack/interactions for interactivity. Use any custom prefix shown in the example instead of /slack.

5. Run the example

   Save the code above as reasoning_agent.py, then run:

   python reasoning_agent.py
   

Full source: cookbook/05_agent_os/interfaces/slack/reasoning_agent.py