Slack Reasoning Finance Agent

Slack agent with advanced reasoning and financial analysis capabilities

Code

cookbook/os/interfaces/slack/reasoning_agent.py

from agno.agent import Agent
from agno.db.sqlite.sqlite import SqliteDb
from agno.models.anthropic.claude import Claude
from agno.os.app import AgentOS
from agno.os.interfaces.slack.slack import Slack
from agno.tools.thinking import ThinkingTools
from agno.tools.yfinance import YFinanceTools

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-3-7-sonnet-latest"),
    db=agent_db,
    tools=[
        ThinkingTools(add_instructions=True),
        YFinanceTools(
            stock_price=True,
            analyst_recommendations=True,
            company_info=True,
            company_news=True,
        ),
    ],
    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_finance_agent],
    interfaces=[Slack(agent=reasoning_finance_agent)],
)
app = agent_os.get_app()

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

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Set Environment Variables

   export SLACK_TOKEN=xoxb-your-bot-user-token
   export SLACK_SIGNING_SECRET=your-signing-secret
   export ANTHROPIC_API_KEY=your-anthropic-api-key
   
3. Install libraries

   pip install -U agno yfinance
   
4. Run Example

   Mac

   python cookbook/os/interfaces/slack/reasoning_agent.py
   

Key Features

• Advanced Reasoning: ThinkingTools for step-by-step financial analysis
• Real-time Data: Stock prices, analyst recommendations, company news
• Claude Powered: Superior analytical and reasoning capabilities
• Slack Integration: Works in channels and direct messages
• Structured Output: Well-formatted tables and financial insights