1
Add the following code to your Python file
groq_llama_finance_agent.py
from textwrap import dedent
from agno.agent import Agent
from agno.models.groq import Groq
from agno.tools.hackernews import HackerNewsTools
from agno.tools.reasoning import ReasoningTools
thinking_llama = Agent(
model=Groq(id="meta-llama/llama-4-scout-17b-16e-instruct"),
tools=[
ReasoningTools(),
HackerNewsTools(),
],
instructions=dedent("""\
## General Instructions
- Always start by using the think tool to map out the steps needed to complete the task.
- After receiving tool results, use the think tool as a scratchpad to validate the results for correctness
- Before responding to the user, use the think tool to jot down final thoughts and ideas.
- Present final outputs in well-organized tables whenever possible.
## Using the think tool
At every step, use the think tool as a scratchpad to:
- Restate the object in your own words to ensure full comprehension.
- List the specific rules that apply to the current request
- Check if all required information is collected and is valid
- Verify that the planned action completes the task\
"""),
markdown=True,
)
thinking_llama.print_response("Write a report comparing NVDA to TSLA", stream=True)
2
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
3
Install dependencies
uv pip install -U agno groq ddgs
4
Export your Groq API key
export GROQ_API_KEY="your_groq_api_key_here"
$Env:GROQ_API_KEY="your_groq_api_key_here"
5
Run Agent
python groq_llama_finance_agent.py