tool_use.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your LiteLLM 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 a LiteLLM agent with sync, streaming, and async runs.
"""
Litellm Tool Use
================
Cookbook example for `litellm/tool_use.py`.
"""
import asyncio
from agno.agent import Agent
from agno.models.litellm import LiteLLM
from agno.tools.yfinance import YFinanceTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
openai_agent = Agent(
model=LiteLLM(
id="gpt-4o",
name="LiteLLM",
),
markdown=True,
tools=[YFinanceTools()],
)
# Ask a question that would likely trigger tool use
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# --- Sync ---
openai_agent.print_response("How is TSLA stock doing right now?")
# --- Sync + Streaming ---
openai_agent.print_response("Whats happening in France?", stream=True)
# --- Async ---
asyncio.run(openai_agent.aprint_response("What is happening in France?"))
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 litellm yfinance
Export your LiteLLM API key
export LITELLM_API_KEY="your_litellm_api_key_here"
$Env:LITELLM_API_KEY="your_litellm_api_key_here"
Run the example
tool_use.py, then run:python tool_use.py
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