Sandboxing code execution for AI agents
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
For those giving their agents the ability to execute code, how are you sandboxing it?
The spectrum seems to be:
- Docker containers: familiar, decent isolation, but heavyweight for per-request sandboxing
- microVMs: great isolation, fast boot, but operational complexity
- WASM: lightweight and fast, but limited ecosystem and capabilities
- Just running it on the host and praying
What I'm trying to solve:
- Agents need to run arbitrary code (user-provided or agent-generated)
- Execution needs to be isolated so a rogue script can't nuke anything
- Ideally fast startup (sub-second) so it doesn't kill the UX
- Needs to support network access for some use cases but not all
- Persistent filesystem between executions for iterative work
What's your setup? What tradeoffs did you accept?
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