Code Interpreter
for LuumenAI

Run Python in a sandbox to analyze operational data, without touching production

Code Interpreter gives Luumen a disposable Python sandbox. Point it at an export — latency samples, a job log, a config dump — and it writes the script, runs it, and hands back stdout, errors, and any files produced. Reading files from the sandbox is immediate. Creating a sandbox, running code, and running terminal commands are held for your approval by default.

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The Code Interpreter toolbox

5 tools: 1 read, 4 write. Reads answer instantly. Writes require approval by default. Everything is logged.

  • ReadGet FileGet a file from the sandbox and returns the file.
  • WriteCreate SandboxCreate a sandbox to execute python code in a Jupyter notebook cell. Approval by default
  • WriteExecute CodeExecute python code in a sandbox and return any result, stdout, stderr, and error. Approval by default
  • WriteRun Terminal CommandRun a command in the terminal and returns the stdout, stderr, and error code. Approval by default
  • WriteUpload FileUpload a file to the sandbox environment. Approval by default

One prompt, start to finish

What a governed Code Interpreter run looks like inside Luumen.

Questions

How does LuumenAI connect to Code Interpreter?

Code Interpreter needs no credential of its own, so there is nothing to authorize. Access is still granted per agent, skill, and team inside Luumen, and every call is logged.

Can LuumenAI change things in Code Interpreter on its own?

Read actions answer immediately. Anything that writes — create sandbox, execute code, run terminal command, upload file — is shown as a plan and requires approval by default. Administrators configure that per tool, so you decide exactly which actions can ever run unattended.

Who gets access to the integration?

You decide. Actions are granted per agent, skill, and team, and per environment — production is not staging. Read access can be broad while writes stay narrow.

Is there an audit trail?

Every call to Code Interpreter — read or write, approved or declined — is recorded with the actor, the input, and the result, and can be linked to the ticket or change record.

All integrations
GitHubRepos, actions, and runbook code as context and as actions.GitLabMerge requests and pipelines proposed, triggered, and rolled back.BitbucketRead commits, diffs, and branches in Bitbucket, then open the fix as a held write.Azure DevOpsAzure DevOps repos and pipelines as context — and as approved actions.

Put Code Interpreter to work with Luumen

Connect in minutes. Every action scoped, approved, and audited from day one.

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