tool_use.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your Meta Llama API key
4
Run the example
Save the code above as
tool_use.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Call YFinance tools from Llama 4 Maverick over the OpenAI-compatible API in sync and async modes.
"""Run `uv pip install openai yfinance` to install dependencies."""
import asyncio
from agno.agent import Agent
from agno.models.meta import LlamaOpenAI
from agno.tools.yfinance import YFinanceTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=LlamaOpenAI(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
tools=[YFinanceTools()],
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# --- Sync ---
agent.print_response("Whats the price of AAPL stock?")
# --- Sync + Streaming ---
agent.print_response("Whats the price of AAPL stock?", stream=True)
# --- Async ---
asyncio.run(agent.aprint_response("Whats the price of AAPL stock?"))
# --- Async + Streaming ---
asyncio.run(agent.aprint_response("Whats the price of AAPL stock?", stream=True))
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 llama-api-client openai yfinance
Export your Meta Llama API key
export LLAMA_API_KEY="your_llama_api_key_here"
$Env:LLAMA_API_KEY="your_llama_api_key_here"
Run the example
tool_use.py, then run:python tool_use.py
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