E2B Sandbox
Run AI-generated code in secure, isolated cloud sandboxes through JavaScript or Python SDKs.
Per-dimension scores and reasoning
Evidence shows: sandbox isolation design (least_privilege 1, isolation but not explicit least privilege); no user confirmation mechanism (0); limited data flow transparency (1, docs but not detailed); sensitive data handling with API key management (1); dependency security with overrides and lockfile (2); external effects with sandbox isolation (1); no rollback mechanism (0); source attribution with User-Agent test (1). Deductions: lack of user confirmation, rollback, and data flow transparency.
Evidence shows: good self-consistency (2, test coverage); dependency availability with lockfile (2); failure messages tested (2). Deductions: no execution verification, static review.
Evidence shows: clear audience (developers) (2); capability boundaries documented (2); trigger precision with CLI argument validation (2); environment fit with cross-platform tests (2). Deductions: no major flaws.
Evidence shows: clear information architecture (2); detailed install notes (2); stable naming (2); examples and FAQ present (2); known limitations partial (1, not explicitly listed); license complete (3); versioning with changeset (2); maintenance responsibility with GitHub Actions (2). Deductions: known limitations not explicit.
Evidence shows: output usability with JSON format (2); high marginal value (2); cost-benefit not explicit (1). Deductions: cost-benefit not quantified.
Evidence shows: claims traceable (2, docs and code correspond); cross-source corroboration limited (1, only internal tests); fact-inference separation (2). Deductions: lack of external verification.
- Publisher identity unverified, supply chain risk should be considered.
- Static review without execution, security and reliability need further validation.
- Lack of user confirmation and rollback mechanisms may affect enterprise adoption.
What does this agent do, and when should you use it?
E2B is open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes. Its JavaScript/TypeScript and Python SDKs create and control Sandbox instances. Applications can run commands in a sandbox and read standard output; code-execution workflows can use the separate Code Interpreter SDK and its runCode()/run_code() interface. The hosted flow uses an E2B API key, while the infrastructure can also be self-hosted with Terraform on AWS or Google Cloud.
An application installs the e2b package, configures E2B_API_KEY, and calls Sandbox.create() to create an isolated cloud sandbox. In JavaScript, it can call sandbox.commands.run('echo "Hello from E2B!"') and read result.stdout; Python uses the same commands.run() call inside a with Sandbox.create() context. With @e2b/code-interpreter or e2b-code-interpreter installed, an application can create its Sandbox, execute code with runCode()/run_code(), and read execution.text. For self-hosting, the documented E2B infrastructure is deployed with Terraform, with AWS and Google Cloud listed as supported providers.
- A team building an LLM coding feature that needs an isolated cloud Sandbox for generated code execution.
- A TypeScript service that runs commands such as echo and returns result.stdout to its caller.
- A Python backend that runs sandbox commands within a context manager and processes their output.
- A code-interpreter workflow that needs runCode() and execution.text for executed code.
- An infrastructure team that wants to deploy E2B infrastructure with Terraform on AWS or Google Cloud.
What are this agent's strengths and limitations?
- Offers both JavaScript/TypeScript and Python SDKs with the same Sandbox.create() and commands.run() workflow.
- Returns command output directly through result.stdout, making sandbox execution easy to integrate into application logic.
- The separate Code Interpreter SDK exposes dedicated runCode()/run_code() and execution.text interfaces.
- Self-hosted infrastructure is Terraform-based and explicitly supports AWS and Google Cloud.
- The hosted workflow requires E2B sign-up and an E2B API key.
- The documented self-hosting support is limited to AWS and Google Cloud; Azure and general Linux machines are not marked as supported.
- Code interpretation is not included in the main e2b package and requires a separate SDK installation.
- The supplied material does not specify pricing, quotas, sandbox lifecycle behavior, or failure recovery.
How do you install or deploy this agent?
For JavaScript/TypeScript, run npm i e2b. For Python, run pip install e2b. Sign up for E2B, obtain an API key, and set E2B_API_KEY=e2b_***. For code interpretation, install npm i @e2b/code-interpreter or pip install e2b-code-interpreter.
How do you use this agent?
In JavaScript/TypeScript, use import Sandbox from 'e2b', then run const sandbox = await Sandbox.create() and const result = await sandbox.commands.run('echo "Hello from E2B!"'); read result.stdout. In Python, use from e2b import Sandbox, run sandbox.commands.run('echo "Hello from E2B!") inside with Sandbox.create() as sandbox:, and read result.stdout. For code interpretation, use import { Sandbox } from '@e2b/code-interpreter', call await sandbox.runCode('x = 1; x += 1; x'), and read execution.text.
FAQ
Do I need an API key?
E2B_API_KEY=e2b_***.