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sandbox-fallback-python-e5d7ae

Continue Python tasks when the sandbox cannot start by switching to run_shell. The workflow covers short scripts, saved script files, library checks, longer timeouts, and output verification for tasks such as PDF generation and data processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Fallback to run_shell with Python heredoc when execute_code_sandbox fails

설치 방법 보기

이럴 때 유용합니다

  • Continue Python work after sandbox startup failures
  • Generate PDFs through shell execution
  • Run data processing with required libraries
  • Check output files after switching execution methods

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  • SKILL.md3.6 KB
  • .skill_id44 B

SKILL.md(원문)

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Python Sandbox Fallback Pattern

When to Use

Use this pattern when execute_code_sandbox fails with e2b/sandbox initialization errors, especially when running Python code that requires external libraries like reportlab, pandas, numpy, etc.

Common Failure Indicators

Detect these error patterns to trigger the fallback:

  • e2b initialization errors
  • sandbox creation/creation timeout failures
  • container startup errors
  • Connection/refusal errors from sandbox service

The Fallback Pattern

Basic Heredoc Approach

For short scripts, use a Python heredoc directly in run_shell:

run_shell(
    command="""python3 << 'EOF'
import sys
print(f"Python version: {sys.version}")
# Your code here
EOF
""",
    timeout=60
)

File-Based Approach for Complex Scripts

For longer scripts or when you need to preserve state across multiple executions:

# Step 1: Write the script to a temporary file
script_content = '''
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
import os

# Your code here
'''

run_shell(command=f"cat > /tmp/script.py << 'SCRIPT_EOF'\n{script_content}\nSCRIPT_EOF")

# Step 2: Execute the script
result = run_shell(command="python3 /tmp/script.py", timeout=120)

Key Considerations

Timeouts

  • run_shell typically needs longer timeouts than execute_code_sandbox
  • Use timeout=60 for simple scripts
  • Use timeout=120 or higher for library-heavy operations (PDF generation, data processing)

Library Availability

  • Verify required libraries are installed in the shell environment
  • Install missing libraries first if needed:
    run_shell(command="pip install reportlab", timeout=60)
    

Error Handling

  • Capture and inspect run_shell output for Python errors
  • Check stderr for import failures or runtime exceptions

Working Directory

  • Files created via run_shell are in the current working directory by default
  • Use absolute paths or os.getcwd() to reference files reliably

Example: PDF Generation with reportlab

# FALLBACK VERSION (when execute_code_sandbox fails):

pdf_code = """
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
from reportlab.lib.units import inch

def create_memo(filename):
    c = canvas.Canvas(filename, pagesize=letter)
    c.drawString(1*inch, 10*inch, "Legal Memorandum")
    c.save()
    print(f"Created {filename}")

create_memo('/workspace/output.pdf')
"""

# Write script to file
run_shell(command=f"cat > /tmp/create_pdf.py << 'PYEOF'\n{pdf_code}\nPYEOF")

# Execute and verify
run_shell(command="python3 /tmp/create_pdf.py", timeout=120)

# Verify output exists
run_shell(command="ls -la /workspace/output.pdf", timeout=30)

Comparison Table

Aspectexecute_code_sandboxrun_shell (fallback)
IsolationHigh (containerized)Low (host environment)
ReliabilityCan fail with e2b errorsMore reliable
Library AccessPre-configured sandboxDepends on host
TimeoutDefault 30sConfigurable
File AccessARTIFACT_PATH conventionDirect filesystem

Migration Checklist

When switching from execute_code_sandbox to run_shell:

  • Increase timeout values (typically 2-4x)
  • Convert ARTIFACT_PATH references to actual file paths
  • Add explicit file verification steps after execution
  • Handle potential library import errors
  • Test script execution in shell environment first

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