E2B — Secure Sandboxes for AI Code Execution

What it is

E2B provides open-source, secure cloud sandboxes for AI agents to execute code safely. Each sandbox is an isolated Linux environment with its own filesystem, networking, and process control, spun up in roughly 150 milliseconds. The primary use case is letting LLM-powered agents run generated code without risking the host system or leaking sensitive data.

It is designed for developers building AI coding assistants, data analysis agents, or any application where an LLM needs to run untrusted code in a controlled environment.

How it saves time or tokens

Without E2B, developers build custom Docker-based sandboxing, handle timeout management, and deal with resource limits manually. E2B abstracts all of this behind a Python or TypeScript SDK. Sandboxes start in under a second and clean up automatically. The code interpreter SDK provides a pre-configured Python environment with common data science libraries already installed, removing setup overhead for analytics use cases.

How to use

1. Install the SDK and get an API key.

pip install e2b-code-interpreter

1. Run code in a sandbox.

from e2b_code_interpreter import Sandbox

with Sandbox() as sandbox:
    execution = sandbox.run_code("print('Hello from sandbox!')")
    print(execution.text)

1. Get your API key at e2b.dev and set it as E2B_API_KEY in your environment.

Example

Running a data analysis task:

from e2b_code_interpreter import Sandbox

code = '''
import pandas as pd
import numpy as np

df = pd.DataFrame({
    'product': ['A', 'B', 'C'] * 100,
    'revenue': np.random.uniform(100, 1000, 300)
})
print(df.groupby('product')['revenue'].agg(['mean', 'sum']).round(2))
'''

with Sandbox() as sandbox:
    result = sandbox.run_code(code)
    print(result.text)

The sandbox has pandas, numpy, matplotlib, and other common libraries pre-installed.

Related on TokRepo

• AI agent tools -- Frameworks and infrastructure for building autonomous AI agents.
• Coding tools -- Developer tools that integrate with AI workflows.

Common pitfalls

• Sandbox instances have resource limits (CPU, memory, execution time). Long-running computations may be terminated. Check the plan limits on e2b.dev.
• The free tier has a limited number of sandbox hours per month. Monitor usage to avoid unexpected throttling.
• Network access from sandboxes is enabled by default. If your use case requires full isolation, configure the sandbox to disable outbound networking.