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

# Agent with URL Context and Search

## Code

```python cookbook/11_models/google/gemini/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

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

  <Step title="Set your API key">
    ```bash theme={null}
    export GOOGLE_API_KEY=xxx
    ```
  </Step>

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

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/11_models/google/gemini/url_context_with_search.py
    ```
  </Step>
</Steps>