> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-docs-scavio-google-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 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.

```python grounding.py theme={null}
"""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-3.5-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,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno google-genai
    ```
  </Step>

  <Step title="Export your Google API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export GOOGLE_API_KEY="your_google_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:GOOGLE_API_KEY="your_google_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `grounding.py`, then run:

    ```bash theme={null}
    python grounding.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/google/gemini/grounding.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/google/gemini/grounding.py)