code_execution.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your Anthropic API key
4
Run the example
Save the code above as
code_execution.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Compute statistics with Claude’s server-side code execution tool via a beta flag.
"""
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
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno anthropic
Export your Anthropic API key
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
$Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
Run the example
code_execution.py, then run:python code_execution.py
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