Grounding with Gemini
Grounding enables Gemini to search the web and provide responses backed by real-time information with citations.
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.
"""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.
Run `uv pip install google-generativeai` to install dependencies.
"""
from agno.agent import Agent
from agno.models.google import Gemini
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=Gemini(
id="gemini-3.7-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,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
passRun the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno google-genaiExport your Google API key
export GOOGLE_API_KEY="your_google_api_key_here"Use Google Search on current models
In the saved Gemini(...) configuration, replace grounding=True with search=True and remove grounding_dynamic_threshold=0.7. The current SDK converts the legacy grounding object to Google Search but drops that threshold. Install google-genai as shown here; the source docstring names the legacy package.
Run the example
Save the code above as grounding.py, then run:
python grounding.pyFull source: cookbook/90_models/google/gemini/grounding.py