Finance Agent

from agno.agent import Agent
from agno.models.nebius import Nebius
from agno.tools.yfinance import YFinanceTools
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.playground import Playground, serve_playground_app
import os
from dotenv import load_dotenv

load_dotenv()

# Create the AI finance agent
agent = Agent(
    name="xAI Finance Agent",
    model=Nebius(
        id="meta-llama/Llama-3.3-70B-Instruct",
        api_key=os.getenv("NEBIUS_API_KEY")
    ),
    tools=[
        DuckDuckGoTools(), 
        YFinanceTools(
            stock_price=True, 
            analyst_recommendations=True, 
            stock_fundamentals=True
        )
    ],
    instructions=[
        "Always use tables to display financial/numerical data.",
        "For text data use bullet points and small paragraphs."
    ],
    show_tool_calls=True,
    markdown=True,
)

# UI for finance agent
app = Playground(agents=[agent]).get_app()

if __name__ == "__main__":
    serve_playground_app("xai_finance_agent:app", reload=True)

"What's the current price of AAPL stock?"
"Show me Tesla's stock performance over the last month"

"Show me analyst recommendations for TSLA"
"What's the P/E ratio of Amazon?"
"Get the latest earnings report for Apple"

"Get the latest news about Bitcoin"
"What's happening in the tech stock market today?"