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

# Google Search with Gemini

> The search tool enables Gemini to access current information from Google Search.

The search tool enables Gemini to access current information from Google Search. This is useful for getting up-to-date facts, news, and web content.

```python search.py theme={null}
"""Google Search with Gemini.

The search tool enables Gemini to access current information from Google Search.
This is useful for getting up-to-date facts, news, and web content.

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", search=True),
    markdown=True,
)

# Ask questions that require current information

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("What are the latest developments in AI technology this week?")
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno google-genai
```

**2. Export your Google API key**

```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"
```

**3. Run the example**

Save the code above as `search.py`, then run:

```bash theme={null}
python search.py
```

Full source: [cookbook/90\_models/google/gemini/search.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/google/gemini/search.py)


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