E2B Code Interpreter SDK

E2B Code Interpreter SDK

The E2B SDK provides secure, isolated cloud micro-VMs that let AI agents safely execute code generated by LLMs. Each sandbox starts in ~150ms and can run arbitrary Python, JavaScript, shell commands, and Jupyter-style notebooks — without any risk to the host system.

Key Features

• Sub-200ms cold start: VMs are pre-warmed; your agent never waits long for a sandbox
• Persistent state: variables, files, and installed packages persist for the lifetime of the sandbox session
• Code interpreter: Jupyter-compatible kernel with stdout, stderr, rich display (plots, DataFrames, HTML)
• File system: upload/download files, mount datasets, and share artifacts back to the user
• Custom images: bake in your own dependencies with a one-line template definition
• Multi-language: Python, Node.js, Java, Go, Rust — any language installable in a Debian container

Quick Start

pip install e2b-code-interpreter

from e2b_code_interpreter import Sandbox

with Sandbox() as sbx:
    execution = sbx.run_code("""
import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame({'x': range(10), 'y': [i**2 for i in range(10)]})
df.plot(x='x', y='y')
plt.savefig('chart.png')
print('Chart saved!')
""")
    print(execution.text)
    sbx.files.download('chart.png', 'local_chart.png')

npx ai-supply add e2b-code-interpreter-sdk

Curated mirror of the open-source E2B SDK (Apache-2.0). Get it from the source.