> ## 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.

# Agent with URL Context and Search

> Combine Google Search with URL context so Gemini finds pages, then analyzes their content.

## Code

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

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

# Create agent with both Google Search and URL context enabled
agent = Agent(
    model=Gemini(id="gemini-2.5-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"
)
```

## Usage

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

**1. Set your API key**

```bash theme={null}
export GOOGLE_API_KEY=xxx
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


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