Code Interpreter

Enables Large Language Models (LLMs) to write, execute, and debug Python code in a sandboxed environment for data analysis and complex problem-solving.

Code Interpreter is a powerful tool integrated into models like OpenAI's GPT-4, providing a secure, sandboxed Python execution environment (a virtual machine) for the model to use on demand. It allows the model to process files (e.g., CSV, images, PDFs), perform complex mathematical operations, and generate outputs like data visualizations (graphs) or new files (e.g., converted GIFs or QR codes). Crucially, the tool enables iterative code running: if the model's initial code fails, it receives the error log, debugs the code, and runs a revised version until the task is successfully completed, significantly boosting the model's accuracy and problem-solving capabilities in data and coding domains.

https://platform.openai.com/docs/assistants/tools/code-interpreter