CodeInterpreter extends Python-based coding environments with integrated data analysis, enabling developers to run scripts, visualize results, and prototype solutions inside supported platforms
Available to claim
Build and ship the Code Interpreter plugin to earn 15 points when we merge it to main. You have 1 hour to link an issue, then 3 hours to open a PR with the plugin scaffold.
Create a sandbox to execute python code in a Jupyter notebook cell. This is useful for agents to communicate, execute code, see output, read files, write files, etc. It's like you own personal computer, but in the cloud. Use /home/user folder to write/read files.
Execute python code in a sandbox and return any result, stdout, stderr, and error. Use /home/user folder to write/read files. Try to not use plt.show() as the code is executed remotely. Use files for image/chart output instead.
Get a file from the sandbox and returns the file. The files should be read from /home/user folder.
Run a command in the terminal and returns the stdout, stderr, and error code. Use /home/user folder to write/read files.
Upload a file to the sandbox environment. The files should be uploaded to the /home/user folder.
No webhooks.
