> ## 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.

# URL Context with Search

> Combine URL context with Google Search for comprehensive web analysis.

```python url_context_with_search.py theme={null}
"""Combine URL context with Google Search for comprehensive web analysis.

Run `uv pip install google-generativeai` to install dependencies.
"""

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

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

# Create agent with both Google Search and URL context enabled
agent = Agent(
    model=Gemini(id="gemini-3.7-flash", search=True, url_context=True),
    markdown=True,
)

# The agent will first search for relevant URLs, then analyze their content in detail
agent.print_response(
    "Analyze the content of the following URL: https://docs.agno.com/introduction and also give me latest updates on AI agents"
)

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

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

## 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 `url_context_with_search.py`, then run:

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

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


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