Code Execution Fallback Workflow

When to Use

Use this skill when execute_code_sandbox fails repeatedly (2+ attempts) with unknown, persistent, or unexplained errors. This fallback approach uses write_file + run_shell to save Python scripts to disk and execute them via command line, which has proven more reliable in certain failure scenarios.

Step-by-Step Instructions

Step 1: Detect Repeated Failures

Monitor execute_code_sandbox attempts. After 2 consecutive failures with errors like:

• "Unknown error"
• Timeout errors
• Unexplained execution failures
• Sandbox environment issues

Switch to the fallback workflow immediately.

Step 2: Write the Python Script to File

Use write_file to save your Python code as a .py file in the working directory:

write_file(
    path="script.py",
    content="""
import sys
import json

# Your Python code here
def main():
    # Your logic
    result = {"status": "success", "data": "example"}
    print(json.dumps(result))

if __name__ == "__main__":
    main()
"""
)

Tips:

• Use clear, self-contained code that doesn't rely on sandbox-specific paths
• Include error handling and informative print statements
• Save output to files if needed for later retrieval

Step 3: Execute via Shell

Use run_shell to execute the Python script via command line:

run_shell(
    command="python3 script.py",
    timeout=60  # Adjust timeout as needed
)

Alternative commands:

• python script.py - if python3 alias isn't available
• python3 -u script.py - for unbuffered output
• python3 script.py arg1 arg2 - with arguments

Step 4: Verify Output and Results

Check the stdout/stderr from run_shell to:

• Confirm execution succeeded (exit code 0)
• Inspect printed output or results
• Identify any new errors (different from sandbox errors)

If the script writes output files, use read_file to retrieve results.

Step 5: Clean Up (Optional)