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e2b-sandboxes

E2B open-source cloud sandboxes for executing AI-generated code securely. USE FOR: run code in sandbox, e2b, code interpreter, execute AI code, secure code execution, isolated environment, AI coding agent execution, run untrusted code, cloud sandbox, code execution API, python sandbox cloud, AI agent code runner, safe code execution, jupyter sandbox.

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Quellinformationen

Repository
mahmoud20138/Tradecraft
Letzte Quellaktivität
23. April 2026 um 08:40
Erkannte Sprache von SKILL.md
Englisch
Sterne
15
Forks
4

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
e2b-sandboxes
description
E2B open-source cloud sandboxes for executing AI-generated code securely. USE FOR: run code in sandbox, e2b, code interpreter, execute AI code, secure code execution, isolated environment, AI coding agent execution, run untrusted code, cloud sandbox, code execution API, python sandbox cloud, AI agent code runner, safe code execution, jupyter sandbox.
kind
tool
category
dev/tools
repo
https://github.com/e2b-dev/E2B
tags
["sandbox","code-execution","ai","cloud","security"]
status
active
# E2B Code Interpreter Sandboxes > Secure isolated cloud VMs for executing AI-generated code. Open-source. ## Installation ```bash pip install e2b-code-interpreter npm i @e2b/code-interpreter export E2B_API_KEY=your_key_here # get at https://e2b.dev/dashboard ``` ## Python Usage ```python from e2b_code_interpreter import Sandbox # Basic execution with Sandbox() as sandbox: result = sandbox.run_code("x = 1 + 1; print(x)") print(result.logs.stdout) # ["2"] # Stateful multi-step session with Sandbox() as sandbox: sandbox.run_code("data = [1, 2, 3]") r = sandbox.run_code("print(sum(data))") print(r.logs.stdout) # ["6"] ``` ## TypeScript Usage ```typescript import { Sandbox } from "@e2b/code-interpreter" const sandbox = await Sandbox.create() const result = await sandbox.runCode("print(1 + 1)") console.log(result.logs.stdout) await sandbox.kill() ``` ## Use With Claude AI Agent ```python from anthropic import Anthropic from e2b_code_interpreter import Sandbox client = Anthropic() sandbox = Sandbox() response = client.messages.create( model="claude-sonnet-4-6", max_tokens=1024, messages=[{"role": "user", "content": "Write Python to compute fibonacci(10)"}] ) code = response.content[0].text result = sandbox.run_code(code) print(result.logs.stdout) sandbox.kill() ``` ## Key Features | Feature | Detail | |---------|--------| | Isolation | Each sandbox = fresh cloud VM | | Stateful | Variables persist within session | | Languages | Python, JavaScript/TypeScript | | Outputs | stdout, stderr, rich results (plots, tables) | | Self-hostable | GCP (prod-ready), AWS (in progress), Azure (planned) | ## Self-Hosting ```bash # GCP (production-ready) terraform apply -var-file=gcp.tfvars ``` ---
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