Code Interpreter Api

The honest framing: this is infrastructure, not a product you demo. You get one narrow, well-defined verb — execute this Python — behind plain HTTP, with two decisions the vendor made that shape everything downstream. First, network and file I/O are blocked. That is the security value. It means a prompt-injected snippet can't exfiltrate your environment variables by curling an attacker endpoint, and a student's runaway loop can't fill your disk. It also means scraping jobs, third-party API calls, model downloads, and dataset fetches from inside the sandbox simply don't work. If your agent's plan involves calling an external service mid-computation, you'll have to split that into two steps with your own code in between. Second, the ceiling is 30 seconds and memory is capped per execution. That is generous for analytics on a modest DataFrame and for test-running a snippet an AI assistant just produced. It is not enough for training runs, large ETL passes, or anything that streams. The vendor made the trade knowingly: a bounded box is cheap to operate and cheap to reason about. What you get for that trade is real convenience. numpy, pandas, and matplotlib are present without you pinning a requirements file, and matplotlib figures come back as base64 images — the exact format a chat UI needs to display a chart without a separate rendering service. Sync and async endpoints let you match the call style to your app, and per-API-key rate limiting plus usage tracking mean you can hand keys to multiple internal teams and see who is spending. Where it fits best: an AI code assistant or agent that needs a place to test the code it generated before showing it to a user; an education platform grading student submissions that may be adversarial; a web app with a "run this code" box you refuse to point at your own cluster. Where it doesn't: anything needing a persistent REPL, session variables that survive between calls, or disk writes inside the sandbox. Each request is a fresh script execution, so state lives in your application, not in the interpreter. On price, check the vendor's page yourself before you commit — I won't guess at tiers here. The cost question that actually matters is the comparison against running your own jail: you're paying someone else to patch containers, cap memory, and absorb abuse so you don't spend an engineer-week on it. For a small team that trade is usually favorable; for a platform already running Kubernetes with a hardened runtime, it may not be. Narrow scope, clean contract, no surprises in the request/response shape — that is the whole pitch.