1
Add the following code to your Python file
xai.py
2
Set up your virtual environment
3
Install dependencies
4
Export your xAI API key
5
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Set reasoning_effort to “high” on xAI’s grok-3-mini-fast model for deeper reasoning before it answers.
Add the following code to your Python file
from agno.agent import Agent
from agno.models.xai import xAI
from agno.tools.yfinance import YFinanceTools
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)
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 Agent
python xai.py
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