5 tools available
CodeInterpreter extends Python-based coding environments with integrated data analysis, enabling developers to run scripts, visualize results, and prototype solutions inside supported platforms
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.
Wire it up in minutes. No coding required.