Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
Data Science
Simon Willison's Blog·Aug 19·5 min read
smolmachines / smolvm as a sandbox for untrusted Python & JavaScript
TL;DR
smolmachines offers a secure sandbox for executing untrusted Python and JavaScript code with strict resource limitations. However, it faces compatibility issues within the Claude Code environment, preventing its use.
✦ Why It Matters
Evaluate your current cloud environment's compatibility with advanced sandboxing solutions like smolmachines.
Key Takeaways
- Explore smolvm for secure code execution in your applications.
- Utilize GitHub Actions to bypass local environment limitations.
- Implement resource constraints to prevent excessive resource usage.
- Test user-provided code safely with limited access to system resources.
How It Works
smolvm operates as a lightweight virtual machine that isolates untrusted code execution. It enforces strict resource limits and access controls, ensuring that the code cannot exceed predefined CPU and memory usage.
By leveraging virtualization features available in environments like GitHub Actions, smolvm can run securely without risking the host system.