Agent with Grounding

Ground Gemini responses in real-time web results with grounding=True.

Code

grounding.py

"""Grounding with Gemini.

Grounding enables Gemini to search the web and provide responses backed by
real-time information with citations. This is a legacy tool - for Gemini 2.0+
models, consider using the 'search' parameter instead.

"""

from agno.agent import Agent
from agno.models.google import Gemini

agent = Agent(
    model=Gemini(
        id="gemini-3.5-flash",
        grounding=True,
        grounding_dynamic_threshold=0.7,  # Optional: set threshold for grounding
    ),
    add_datetime_to_context=True,
)

# Ask questions that benefit from real-time information
agent.print_response(
    "What are the current market trends in renewable energy?",
    stream=True,
    markdown=True,
)

Usage

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
2. Set your API key

   export GOOGLE_API_KEY=xxx
   
3. Install dependencies

   uv pip install -U google-genai agno
   
4. Run Agent

   Save the code above as grounding.py, then run:

   python grounding.py