llama_reasoning_tools.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
llama_reasoning_tools.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
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Llama 4 Maverick pairs ReasoningTools with YFinanceTools to report on the NVDA stock price.
"""
Llama Reasoning Tools
=====================
Demonstrates this reasoning cookbook example.
"""
from agno.agent import Agent
from agno.models.meta import Llama
from agno.tools.reasoning import ReasoningTools
from agno.tools.yfinance import YFinanceTools
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
def run_example() -> None:
reasoning_agent = Agent(
model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
tools=[
ReasoningTools(
enable_think=True,
enable_analyze=True,
add_instructions=True,
),
YFinanceTools(),
],
instructions="Use tables where possible",
markdown=True,
)
reasoning_agent.print_response(
"What is the NVDA stock price? Write me a report",
show_full_reasoning=True,
)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
run_example()
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 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
llama_reasoning_tools.py, then run:python llama_reasoning_tools.py
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