Recover Python tasks when execute_code_sandbox fails with errors or timeouts. Install required packages, run the code through run_shell, and inspect messages and generated files to check the result.
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Fallback workflow for executing Python code when execute_code_sandbox fails
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Use this pattern when execute_code_sandbox fails with unknown errors, timeouts, or persistent execution failures. This fallback bypasses sandbox restrictions by using run_shell with a Python heredoc script.
execute_code_sandbox fails → run_shell with pip install → Python heredoc execution
Monitor for these failure indicators from execute_code_sandbox:
Use run_shell to install any required Python packages:
pip install <package_name>
For multiple packages:
pip install package1 package2 package3
Run Python code using a heredoc script with run_shell:
python3 << 'EOF'
# Your Python code here
import sys
print("Hello from fallback execution")
EOF
Key heredoc syntax notes:
<< 'EOF' (quoted) to prevent shell variable expansion<< EOF (unquoted) if you need shell variable interpolationEOF on its own lineScenario: Need to create a Word document but execute_code_sandbox keeps failing.
# Step 1: Install required package
pip install python-docx
# Step 2: Execute Python script via heredoc
python3 << 'EOF'
from docx import Document
doc = Document()
doc.add_heading('Proposal Document', 0)
doc.add_paragraph('This is the proposal content.')
doc.save('proposal.docx')
print("Document created successfully")
EOF
'EOF') to avoid unintended shell expansion of Python code| Issue | Solution |
|---|---|
pip not found | Try pip3 or python3 -m pip install |
| Script hangs | Add timeout to run_shell command |
| Permission errors | Check file paths are writable |
| Import errors | Verify package was installed successfully |
run_shell: Execute shell commands directlyexecute_code_sandbox: Primary Python execution tool (try first)shell_agent: For more complex multi-step shell tasks아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.
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Produce audio in separate stems, meaning individual instrument tracks, and verify each output as you go. Align track lengths with silence, loops, or crossfades, then apply effects, mix a master, and package the files.
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Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.
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Produce a master track and separate audio parts through a structured Python workflow. Apply filters and reverb, export WAV files with consistent settings, package them in a ZIP archive, and check that the deliverables meet the requested specifications.
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Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.
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When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.
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