> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 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.

```python reasoning_agent.py theme={null}
"""
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

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[os,slack]" anthropic ddgs
    ```
  </Step>

  <Step title="Export environment variables">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      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"
      ```

      ```bash Windows theme={null}
      $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"
      ```
    </CodeGroup>
  </Step>

  <Step title="Configure Slack">
    Complete [Slack setup](/agent-os/interfaces/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`.
  </Step>

  <Step title="Run the example">
    Save the code above as `reasoning_agent.py`, then run:

    ```bash theme={null}
    python reasoning_agent.py
    ```
  </Step>
</Steps>

Full source: [cookbook/05\_agent\_os/interfaces/slack/reasoning\_agent.py](https://github.com/agno-agi/agno/blob/main/cookbook/05_agent_os/interfaces/slack/reasoning_agent.py)