How to safely run llama.cpp native tools (exec_shell_command) with multi-sandboxing on Linux

The llama.cpp project recently added native tool support to its llama-server, enabling the model to call functions like get_datetime and — the powerful but dangerous — exec_shell_command. A Reddit user shared a detailed multi-sandboxing workflow to safely use exec_shell_command for tasks like web RAG (fetching live URLs) without risking the host system.
Key details from the source
- Model used:
Qwen3.6-35B-A3B_MTP-UD-Q8_K_XL.ggufwith MTP speculative decoding - Server flags:
--jinja --tools get_datetime,exec_shell_command --temp 0.6 --top-p 0.95 --top-k 20 --presence-penalty 1.5 --min-p 0.00 --chat-template-kwargs '{"preserve_thinking":true}' --spec-type draft-mtp --spec-draft-n-max 1 - Multi-sandboxing stack: Firejail + smolvm (Alpine Linux VM) + dedicated Linux user for tool execution
Step-by-step setup
- Enable tools in llama-server: start with
--tools get_datetime,exec_shell_command(test withget_datetimefirst) - Install Firejail (e.g.,
sudo pacman -S firejailon Arch) - Create isolated user:
sudo useradd -m vmagents; sudo passwd vmagents - Switch to
vmagentsand install smolvm:curl -sSL https://smolmachines.com/install.sh | bash - Create a minimal Alpine VM:
smolvm machine create minivm --image alpine --net
smolvm machine start --name minivm - Create
minivm-execin~vmagents/.local/bin/:
#!/bin/sh smolvm machine start --name minivm >/dev/null firejail smolvm machine exec --name minivm -- $* 2>/dev/null smolvm machine stop --name minivm >/dev/null
Make executable:chmod +x minivm-exec - Create
vm-execin your own user's~/.local/bin/:
#!/bin/sh sudo su - vmagents -c "minivm-exec $*"
Make executable. - In llama-server web UI, prompt the model to use
vm-execas a wrapper, e.g.:
Prepend any command to be executed with the sandboxing wrapper vm-exec. Use wget to fetch web content adding the option "-U Mozilla" as browser user agent string.
Then ask it to retrieve a live URL and analyze the content.
How the sandboxing works
Commands are run inside a temporary Alpine Linux VM (minivm) created by smolvm, which itself is wrapped in a Firejail sandbox. This isolates network access, filesystem, and process space. The vm-exec script on the host invokes the whole chain as the vmagents user, preventing any escalation to the host user's home directory or critical system files. The VM is stopped after each command, ensuring no persistent state from malicious actions.
Who this is for
Developers running local LLM servers and wanting to safely allow code execution or web fetching via agentic tools without exposing the host OS.
📖 Read the full source: r/LocalLLaMA
👀 See Also

Cut Token Costs by 95% with OpenClaw's Seven Optimization Techniques
A comprehensive guide detailing seven techniques to reduce AI agent token consumption by 95%+, including tree-structured boot files, AI auto-compression, local model offloading, and cron-based CPU tasks.

Google AI Pro Account Restored After OpenClaw OAuth Ban — Appeal Form Works
A user reports their Google AI Pro account was restored 3 months after being banned for linking to OpenClaw via Google OAuth. The official appeal form eventually worked.

OpenClaw v2.0 update requires manual checks before installation
OpenClaw's latest update includes 12 breaking changes, a new plugin system, and 30+ security patches. The update will silently break setups if users run npm update without first checking environment variables, state directories, and browser automation configurations.

Building a Full BI System with Claude Code and Metabase for Under $50/month
A Reddit user built a complete BI system using Claude Code, BigQuery, and self-hosted Metabase — replacing $15k expert quotes with 3 days of work and $30/month in cloud costs.