Groq with Reasoning Tools

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

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
3. Install dependencies

   uv pip install -U agno groq ddgs
   
4. Export your Groq API key

   Mac/Linux

     export GROQ_API_KEY="your_groq_api_key_here"
   
5. Run Agent

   python groq_llama_finance_agent.py