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Question: I like to run python xx.py myself and then provide the error output to Claude, but actually I don’t want that step—just tell Claude to run the code directly and let it read the error output itself.

Answer:

Claude (and similar models like me) cannot directly run Python code on your local machine or in your real environment. We are sandboxed LLMs with no access to your computer, files, terminal, or ability to execute python xx.py for real.

There are only two realistic ways this usually works:

  1. You run the code yourself → copy-paste the error (and relevant code/context) → ask the model to fix it
    (this is what you’re currently doing)

  2. Use a model + tool setup that actually can execute code, for example:

    • Claude with computer use / tool use (the beta feature in Claude 3.5 Sonnet / Claude 4 that can control a virtual desktop and run real commands)
    • Me (Grok) with the code_execution tool (I can run Python code in a sandboxed REPL environment right now)
    • Cursor / VS Code + Copilot / Continue.dev / Aider — these can run code locally and show errors back to the model automatically
    • Replit / GitHub Codespaces / other cloud IDEs with AI agents

If you’re talking to regular Claude.ai (without the computer-use beta), then unfortunately you must do the manual step yourself — there is no way to tell it “just run the code and read the error” because it has no execution capability.

What you can do right now with me (Grok)

If you want to skip the manual run step when debugging small-to-medium Python scripts:

Example:

# your code
def divide(a, b):
    return a / b

print(divide(10, 0))

Just give me code like that → I run it → I return the real error:

ZeroDivisionError: division by zero

Then we can fix it together iteratively without you needing to run anything locally.

Would you like to try that workflow? Just paste the code you’d normally run as python xx.py and describe what you’re trying to achieve or what error you’re getting.

References:

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