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Summarize stock fundamentals with a YFinance analyst agent on LangDB.
"""Run `uv pip install yfinance` to install dependencies."""
from agno.agent import Agent
from agno.models.langdb import LangDB
from agno.tools.yfinance import YFinanceTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=LangDB(id="llama3-1-70b-instruct-v1.0"),
tools=[YFinanceTools()],
description="You are an investment analyst that researches stocks and helps users make informed decisions.",
instructions=["Use tables to display data where possible."],
markdown=True,
)
# agent.print_response("Share the NVDA stock price and analyst recommendations", stream=True)
agent.print_response("Summarize fundamentals for TSLA", stream=True)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai yfinance
Export environment variables
export LANGDB_API_KEY="your_langdb_api_key_here"
export LANGDB_PROJECT_ID="your_langdb_project_id_here"
$Env:LANGDB_API_KEY="your_langdb_api_key_here"
$Env:LANGDB_PROJECT_ID="your_langdb_project_id_here"
Run the example
finance_agent.py, then run:python finance_agent.py
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