pydantic-monty-runtime
The monty command-line binary for the
Monty sandboxed Python interpreter.
$ monty -c "print('hello world')"
hello world
Usage
monty— start an interactive REPLmonty file.py— run a Python filemonty -c "<code>"— run a program passed as a string (likepython -c)-i/--interactive— run the file or-cprogram in a REPL session (likepython -i)-t/--type-check— type check (powered by ty) before executing-m/--mount /host/path::/virtual/path[::mode[::write_limit_bytes]]— mount a host directory into the sandbox (ro,rw, oroverlay)--max-memory 10MB,--max-duration 0.5,--max-recursion-depth,--gc-interval— sandbox resource limits
Features
standalone(default) — themonty <file>/-c/ REPL path and its terminal stack (rustyline,anstream,anstyle). Without it the binary servesmonty subprocessalone, which is all a pool ever spawns; the flags still parse, but anything other thansubprocessis refused.telemetry— see below. Impliesstandalone, since it only instruments that path.
Observability
Behind the telemetry feature, off by default because its exporter links MBs
of TLS that monty subprocess — which never exports — would otherwise carry.
Without it, LOGFIRE_TOKEN is ignored.
Built with --features telemetry, standalone CLI runs configure the Rust
Logfire SDK when LOGFIRE_TOKEN is set. The SDK also honors standard
OpenTelemetry exporter and resource environment variables. The CLI owns the SDK
lifecycle and flushes it before exiting.
monty subprocess deliberately ignores telemetry environment configuration:
worker processes are instrumented by their parent pool, avoiding duplicate
exporters and keeping credentials out of sandbox workers.
Worker mode
monty subprocess runs the binary as a wire-protocol child: framed protobuf
requests on stdin, framed events on stdout (see the
monty-proto crate). This is how the
monty-pool crate — and through it the
pydantic-monty and
@pydantic/monty packages —
runs Monty with crash isolation. It is meant to be driven by a parent
process, not by hand.
The binary runs under the
monty-alloc global allocator, which
provides the session's soft-limit usage and enforces a higher hard ceiling.
Crossing the soft limit raises MemoryError at an interpreter checkpoint;
crossing the hard limit exits with a dedicated status the parent can classify.
PyPI packaging (pydantic-monty-runtime)
The binary is also packaged for PyPI as
pydantic-monty-runtime, the same
way uv and ruff package theirs: installing the wheel places the compiled
binary in the environment's scripts directory. It exists so that
pydantic-monty-client can find a monty binary without any manual setup, and
is pulled in automatically by the pydantic-monty metapackage — you normally
don't install it directly.
Monty crates
monty— the core interpreter: Python parser, bytecode VM, and sandbox.monty-types— the shared boundary data types (values, exceptions, OS calls, resource limits) hosts use without linking the interpreter.monty-fs— host-side filesystem mounts: maps virtual sandbox paths to real host directories.monty-runtime— themontybinary: REPL, file runner, and subprocess worker mode. this cratemonty-pool— an elastic pool of crash-isolatedmontyworker subprocesses.monty-proto— the protobuf wire protocol spoken between pool parents and workers.monty-type-checking— type checking of sandboxed code, powered by ty.monty-typeshed— the trimmed typeshed stubs describing the stdlib subset Monty implements.monty-macros— the proc macros behindmonty's argument parsing.
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