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sandtrap ⛳

A local Python sandbox using AST rewriting and compiled bytecode execution. Whitelist-based policies control attribute access, imports, and resource usage. Designed as a walled garden for cooperative code (e.g. agent-generated scripts), not for adversarial inputs.

Three isolation levels via the sandbox() factory:

  • "none" (default) -- in-process, lightweight, shares the host's memory space
  • "process" -- subprocess-backed, crash protection, no kernel restrictions
  • "kernel" -- subprocess + kernel-level isolation (seccomp, Landlock, Seatbelt)

Install

pip install sandtrap

For subprocess isolation with kernel-level sandboxing on Linux:

pip install sandtrap[process]

Quick start

In-process (default)

from sandtrap import Policy, sandbox

policy = Policy(timeout=5.0, tick_limit=100_000)

with sandbox(policy) as sb:
    result = sb.exec("""
total = sum(range(10))
print(f"total = {total}")
""")

print(result.stdout)       # "total = 45\n"
print(result.namespace)    # {"total": 45}
print(result.error)        # None
print(result.ticks)        # 2 (fn calls: sum + print)

Subprocess

from sandtrap import Policy, IsolatedFS, sandbox

policy = Policy(timeout=5.0, tick_limit=100_000)

with sandbox(policy, isolation="kernel", filesystem=IsolatedFS("/tmp/sandbox")) as sb:
    result = sb.exec("""
total = sum(range(10))
print(f"total = {total}")
""")

print(result.stdout)       # "total = 45\n"
print(result.namespace)    # {"total": 45}

isolation="kernel" runs code in a forked child process with:

  • Filesystem restricted to the IsolatedFS root via Landlock (Linux) or Seatbelt (macOS)
  • Syscall filtering via seccomp (Linux) or Seatbelt (macOS)
  • Network blocked at the kernel level (unless the policy enables it)
  • Worker crash doesn't take down the host process

Part of the agex stack

sandtrap powers sandboxed code execution in agex, where AI agents write and execute Python directly against host libraries. Filesystem interception is provided by monkeyfs.

Documentation

License

MIT

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