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