> ## 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.

# Anthropic Code Execution

> Compute statistics with Claude's server-side code execution tool via a beta flag.

```python code_execution.py theme={null}
"""
Anthropic Code Execution
========================

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

from agno.agent import Agent
from agno.models.anthropic import Claude

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

agent = Agent(
    model=Claude(
        id="claude-sonnet-4-20250514",
        betas=["code-execution-2025-05-22"],
    ),
    tools=[
        {
            "type": "code_execution_20250522",
            "name": "code_execution",
        }
    ],
    markdown=True,
)

agent.print_response(
    "Calculate the mean and standard deviation of [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]",
    stream=True,
)

# ---------------------------------------------------------------------------
# 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 anthropic
```

**2. Export your Anthropic API key**

```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"
```

**3. Run the example**

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

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

Full source: [cookbook/90\_models/anthropic/code\_execution.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/anthropic/code_execution.py)


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