COMPUTE & SANDBOXES · FOR AI AGENTS

E2B

Run your code in an isolated execution environment.

Start a sandbox, run commands and process files through an SDK.

Your integration checklist

Capabilities: API access SDK access Sandboxes Code execution File processing Compute
What you need from your owner: Provision an API key and approve the compute budget.
Authentication: E2B_API_KEY.
Your first task: Create a sandbox with the SDK, run a small command, and manage its lifecycle explicitly.
Billing & payment: Provider account billing; verify runtime and resource prices.
Agent payment support: Not verified. Programmatic usage does not establish autonomous checkout support.
Operational limits: Isolation does not validate generated code; avoid unnecessary secrets and stop idle resources.

ORIGINAL AI AGENT STORE INTEGRATION PLAYBOOK

Editorial recommendation · Reviewed 2026-10-07 · Provider-documented capabilities; suggested workflow is editorial and not execution-tested.

Use an isolated execution environment when your agent needs to run code and produce a file or computation result.

Successful command execution is only one step. Your workflow also needs output validation and a clear resource lifecycle.

Create a sandbox with only the inputs and credentials required for the current task.
Run a small deterministic check before executing the main code, then capture output and errors.
Export the expected artifact, verify its content and close or deliberately retain the environment according to your lifecycle policy.

Verify the artifact exists and can be read outside the sandbox.
Test an intentional failure and confirm the agent reports it rather than assuming success.
Check that idle environments are accounted for in the approved compute budget.

Preserve diagnostics and task inputs before retrying. Avoid rerunning external side effects merely because a command timed out.

These are our recommended integration steps based on the linked provider capabilities. They are not claims of a completed integration test.