reasoning_effort.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your xAI API key
4
Run the example
Save the code above as
reasoning_effort.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Raise reasoning_effort on grok-3-mini-fast for a YFinance-backed stock report.
"""
Reasoning Effort
================
Demonstrates this reasoning cookbook example.
"""
from agno.agent import Agent
from agno.models.xai import xAI
from agno.tools.yfinance import YFinanceTools
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
def run_example() -> None:
agent = Agent(
model=xAI(id="grok-3-mini-fast", reasoning_effort="high"),
tools=[YFinanceTools()],
instructions="Use tables to display data.",
markdown=True,
)
agent.print_response("Write a report comparing NVDA to TSLA", stream=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 openai yfinance
Export your xAI API key
export XAI_API_KEY="your_xai_api_key_here"
$Env:XAI_API_KEY="your_xai_api_key_here"
Run the example
reasoning_effort.py, then run:python reasoning_effort.py
Was this page helpful?