The code interpreter lets an agent execute code in a managed sandbox. Use it for computation, data transformation, format conversion, plotting, and anything else better done in code than in natural language.Documentation Index
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Enable the code interpreter
In the Agent Builder, enable Run Code in the Capabilities section, then save. The agent decides when to run code based on the user’s request and the agent’s instructions.Supported languages
The sandbox is a Unix environment with two general-purpose runtimes and a few shell utilities:- Python 3 - the default for data tasks.
- Node.js (JavaScript) - when an agent prefers JS for the job.
- Bash and sh - shell scripting for chaining commands and quick I/O.
- AWK and sed - line-oriented text processing.
- bc - arbitrary-precision math.
Files
Users can upload files into a conversation; the code interpreter has access to them in the sandbox working directory. Code can also write output files (CSVs, plots, archives) which appear in the conversation as downloadable attachments.Sandbox isolation
Each execution runs in an ephemeral sandbox with no network access and no persistent storage. Sessions don’t share state — variables and files from one run don’t carry into the next unless the agent explicitly re-loads them. Plan-specific resource limits (memory, files per run, monthly request quotas) apply. Errors and stderr are surfaced in the conversation alongside stdout.When to use it
Reach for the code interpreter when the answer requires deterministic computation that a language model can’t produce reliably by reasoning alone. Typical cases include:- Parsing a CSV or JSON file the user uploaded.
- Computing summary statistics or running a quick simulation.
- Converting between formats (Parquet, JSON, CSV).
- Generating a plot from query results.