> ## 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.

# Anthropic Web Search

> Use Anthropic's native web_search tool and inspect search metrics on the run output.

```python web_search.py theme={null}
"""
Anthropic Web Search
====================

Cookbook example for `anthropic/web_search.py`.
"""

from pprint import pprint

from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.models.anthropic import Claude

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

agent = Agent(
    model=Claude(
        id="claude-sonnet-4-20250514",
    ),
    db=InMemoryDb(),
    tools=[
        {
            "type": "web_search_20250305",
            "name": "web_search",
            "max_uses": 5,
        }
    ],
    markdown=True,
)

agent.print_response("What's the latest with Anthropic?", stream=True)

# Show the web search metrics
run_output = agent.get_last_run_output()
print("---" * 5, "Web Search Metrics", "---" * 5)
pprint(run_output.metrics)
print("---" * 20)

# ---------------------------------------------------------------------------
# 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 anthropic
    ```
  </Step>

  <Step title="Export your Anthropic API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
      ```

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

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

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

Full source: [cookbook/90\_models/anthropic/web\_search.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/anthropic/web_search.py)