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.
5 tools: 1 read, 4 write. Reads answer instantly. Writes require approval by default. Everything is logged.
What a governed Code Interpreter run looks like inside Luumen.
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.
This connection exposes write actions such as create sandbox, execute code, run terminal command, upload file. For connected tools, admins configure which actions may run automatically and which require approval, within the access granted to the user. Review the configured approval policy before enabling write access.
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.
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.
Connect in minutes. Every action scoped, approved, and audited from day one.