diff --git a/dspy/predict/rlm.py b/dspy/predict/rlm.py index 09ec51f381..4c065b7b92 100644 --- a/dspy/predict/rlm.py +++ b/dspy/predict/rlm.py @@ -36,8 +36,8 @@ _validate_interpreter_factory, ) from dspy.primitives.module import Module +from dspy.primitives.monty_interpreter import MontyInterpreter from dspy.primitives.prediction import Prediction -from dspy.primitives.python_interpreter import PythonInterpreter from dspy.primitives.repl_types import REPLEntry, REPLHistory, REPLVariable from dspy.primitives.sandbox_serializable import SandboxSerializable, build_repl_variable from dspy.signatures.signature import ensure_signature @@ -120,7 +120,7 @@ class RLM(Module): through code execution. The LLM writes Python code to examine data, call sub-LLMs for semantic analysis, and build up answers iteratively. - The default interpreter is PythonInterpreter (Deno/Pyodide/WASM), but + The default interpreter is MontyInterpreter, but ``interpreter_factory`` can create another CodeInterpreter implementation, such as an adapter for a remote sandbox. RLM updates the interpreter's mutable ``tools`` dictionary with invocation-scoped tools before execution. @@ -145,7 +145,7 @@ def __init__( verbose: bool = False, tools: list[Callable] | None = None, sub_lm: dspy.LM | None = None, - interpreter_factory: Callable[[], CodeInterpreter] = PythonInterpreter, + interpreter_factory: Callable[[], CodeInterpreter] = MontyInterpreter, ): """ Args: diff --git a/dspy/primitives/__init__.py b/dspy/primitives/__init__.py index f1ad6bf323..ae70394d55 100644 --- a/dspy/primitives/__init__.py +++ b/dspy/primitives/__init__.py @@ -2,6 +2,7 @@ from dspy.primitives.code_interpreter import CodeExecutionError, CodeInterpreter, CodeInterpreterError, FinalOutput from dspy.primitives.example import Example from dspy.primitives.module import Module +from dspy.primitives.monty_interpreter import MontyInterpreter from dspy.primitives.prediction import Completions, Prediction from dspy.primitives.python_interpreter import PythonInterpreter from dspy.primitives.sandbox_serializable import SandboxSerializable @@ -14,6 +15,7 @@ "Example", "FinalOutput", "CodeInterpreterError", + "MontyInterpreter", "Module", "Prediction", "PythonInterpreter", diff --git a/dspy/primitives/monty_interpreter.py b/dspy/primitives/monty_interpreter.py new file mode 100644 index 0000000000..a28957e47e --- /dev/null +++ b/dspy/primitives/monty_interpreter.py @@ -0,0 +1,206 @@ +"""Monty-backed code interpreter for RLM execution.""" + +from __future__ import annotations + +import asyncio +import inspect +import re +import threading +from typing import Any, Callable + +from pydantic_monty import ( + AbstractOS, + Monty, + MontyCrashedError, + MontyRuntimeError, + MontySession, + MontySyntaxError, + MountDir, + ResourceLimits, +) + +from dspy.primitives.code_interpreter import CodeExecutionError, CodeInterpreterError, FinalOutput + +_CODE_FENCE_RE = re.compile( + r"^\s*```(?:\s*(?:python|py)\s*)?\n(.*?)```\s*$", + re.DOTALL | re.IGNORECASE, +) + + +class MontyInterpreter: + """Execute persistent Python snippets in Monty's isolated worker pool. + + Monty provides a constrained Python runtime with no filesystem, network, + or environment access unless those capabilities are explicitly supplied. + A shared interpreter is safe to use from multiple threads: each thread gets + an isolated persistent session backed by the same worker pool. + """ + + def __init__( + self, + tools: dict[str, Callable[..., Any]] | None = None, + output_fields: list[dict[str, Any]] | None = None, + resource_limits: ResourceLimits | None = None, + mounts: MountDir | list[MountDir] | None = None, + os_access: AbstractOS | None = None, + request_timeout: float | None = 120.0, + max_processes: int | None = None, + ) -> None: + self._tools = dict(tools or {}) + self.output_fields = output_fields + self._tools_registered = False + self._resource_limits = resource_limits + self._mounts = mounts + self._os_access = os_access + self._request_timeout = request_timeout + self._max_processes = max_processes + self._pool: Monty | None = None + self._lock = threading.Lock() + self._generation = 0 + self._thread_local = threading.local() + self._live_sessions: dict[int, MontySession] = {} + self._closed = False + self._terminal_error: str | None = None + + @property + def tools(self) -> dict[str, Callable[..., Any]]: + return self._tools + + def _ensure_session(self) -> MontySession: + if self._terminal_error is not None: + raise CodeInterpreterError(self._terminal_error) + if self._closed: + raise CodeInterpreterError("interpreter has been shut down") + + local = self._thread_local + if getattr(local, "generation", None) != self._generation: + local.session = None + local.generation = self._generation + if getattr(local, "session", None) is not None: + return local.session + + with self._lock: + if self._pool is None: + self._pool = Monty(request_timeout=self._request_timeout, max_processes=self._max_processes) + self._pool.__enter__() + pool = self._pool + try: + session = pool.checkout(limits=self._resource_limits) + session.__enter__() + except Exception as error: + raise CodeInterpreterError(f"failed to start Monty interpreter: {error}") from error + local.session = session + with self._lock: + self._live_sessions[id(session)] = session + return session + + def start(self) -> None: + self._ensure_session() + + @staticmethod + def _invoke_tool(tool: Callable[..., Any], *args: Any, **kwargs: Any) -> Any: + advertised = inspect.signature(tool) + bound = advertised.bind(*args, **kwargs) + keyword_wrapper = ( + inspect.isfunction(tool) + and tool.__code__.co_argcount == 0 + and tool.__code__.co_kwonlyargcount == 0 + and bool(tool.__code__.co_flags & inspect.CO_VARKEYWORDS) + ) + result = tool(**bound.arguments) if keyword_wrapper else tool(*bound.args, **bound.kwargs) + if inspect.isawaitable(result): + try: + loop = asyncio.get_running_loop() + except RuntimeError: + return asyncio.run(result) + return loop.run_until_complete(result) + return result + + def execute(self, code: str, variables: dict[str, Any] | None = None) -> Any: + """Execute code, retaining guest state until shutdown.""" + match = _CODE_FENCE_RE.match(code) + if match: + code = match.group(1) + + printed: list[str] = [] + submissions: list[tuple[tuple[Any, ...], dict[str, Any]]] = [] + + def submit(*args: Any, **kwargs: Any) -> None: + submissions.append((args, kwargs)) + + external_lookup: dict[str, Callable[..., Any]] = {"SUBMIT": submit} + for name, tool in self.tools.items(): + def invoke(*args: Any, _tool: Callable[..., Any] = tool, **kwargs: Any) -> Any: + return self._invoke_tool(_tool, *args, **kwargs) + + external_lookup[name] = invoke + + try: + result = self._ensure_session().feed_run( + code, + inputs=variables or None, + external_lookup=external_lookup, + print_callback=lambda _stream, value: printed.append(value), + mount=self._mounts, + os=self._os_access, + ) + except MontySyntaxError as error: + raise SyntaxError(str(error)) from error + except MontyCrashedError as error: + self._terminal_error = ( + f"{error}; interpreter state was lost. Create a new interpreter for a fresh session." + ) + self.shutdown() + raise CodeInterpreterError(self._terminal_error) from error + except MontyRuntimeError as error: + raise CodeExecutionError(error.display("type-msg")) from error + + if submissions: + args, kwargs = submissions[0] + return _handle_submit(args, kwargs, self.output_fields) + if printed: + return "".join(printed).removesuffix("\n") + return result + + def shutdown(self) -> None: + if self._closed: + return + with self._lock: + sessions = list(self._live_sessions.values()) + self._live_sessions.clear() + pool, self._pool = self._pool, None + self._generation += 1 + self._closed = True + for session in sessions: + try: + session.__exit__(None, None, None) + except Exception: + pass + if pool is not None: + pool.__exit__(None, None, None) + + def __enter__(self) -> MontyInterpreter: + self.start() + return self + + def __exit__(self, *_: Any) -> None: + self.shutdown() + + +def _handle_submit( + args: tuple[Any, ...], + kwargs: dict[str, Any], + output_fields: list[dict[str, Any]] | None, +) -> FinalOutput: + names = [field["name"] for field in output_fields or []] + if names: + if args: + if kwargs or len(args) != len(names): + raise CodeExecutionError("SUBMIT arguments do not match output fields") + kwargs = dict(zip(names, args, strict=True)) + elif set(kwargs) != set(names): + raise CodeExecutionError("SUBMIT arguments do not match output fields") + return FinalOutput(kwargs) + if kwargs or len(args) != 1: + raise CodeExecutionError("SUBMIT requires exactly one positional output") + return FinalOutput(args[0]) diff --git a/pyproject.toml b/pyproject.toml index 39353ed93f..c4ba6e1f50 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,6 +35,7 @@ dependencies = [ "cachetools>=5.5.0", "cloudpickle>=3.1.2", "gepa[dspy]==0.1.1", + "pydantic-monty>=0.0.19", ] [project.optional-dependencies] diff --git a/tests/predict/test_rlm.py b/tests/predict/test_rlm.py index 09c0ef8ac8..5660f91c08 100644 --- a/tests/predict/test_rlm.py +++ b/tests/predict/test_rlm.py @@ -14,6 +14,7 @@ from dspy.adapters.types.tool import Tool from dspy.predict.rlm import RLM, _strip_code_fences from dspy.primitives.code_interpreter import CodeExecutionError, CodeInterpreterError, FinalOutput +from dspy.primitives.monty_interpreter import MontyInterpreter from dspy.primitives.prediction import Prediction from dspy.primitives.python_interpreter import PythonInterpreter from dspy.primitives.repl_types import REPLEntry, REPLHistory, REPLVariable @@ -227,7 +228,7 @@ def test_optional_parameters(self): rlm = RLM("context -> answer") assert rlm.max_llm_calls == 50 assert rlm.sub_lm is None - assert rlm._interpreter_factory is PythonInterpreter + assert rlm._interpreter_factory is MontyInterpreter # Test custom values mock_lm = dspy.LM("openai/gpt-4o-mini") @@ -1209,15 +1210,14 @@ def test_type_error_retries(self): # ============================================================================ -# Integration Tests: RLM Type Coercion with PythonInterpreter +# Integration Tests: RLM Type Coercion with MontyInterpreter # ============================================================================ -@pytest.mark.deno class TestRLMTypeCoercion: - """Tests for RLM type coercion through full forward pass with PythonInterpreter. + """Tests for RLM type coercion through a full Monty-backed forward pass. - Note: These tests let RLM create its own PythonInterpreter so it can register + These tests let RLM create its default MontyInterpreter so it can register typed output_fields for SUBMIT based on the signature. """ @@ -1229,25 +1229,25 @@ class TestRLMTypeCoercion: ("data", "dict[str, str]", 'SUBMIT({"key": "value"})', {"key": "value"}, dict), ("answer", "Literal['yes', 'no']", 'SUBMIT("yes")', "yes", str), ]) - def test_type_coercion(self, output_field, output_type, code, expected, expected_type, pooled_interpreter): - """Test RLM type coercion for various types with PythonInterpreter.""" + def test_type_coercion(self, output_field, output_type, code, expected, expected_type): + """Test RLM type coercion for various types with MontyInterpreter.""" rlm = RLM(f"query -> {output_field}: {output_type}", max_iters=3) rlm.generate_action = make_mock_predictor([ {"reasoning": "Return value", "code": code}, ]) - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert getattr(result, output_field) == expected assert isinstance(getattr(result, output_field), expected_type) - def test_submit_extracts_typed_value(self, pooled_interpreter): + def test_submit_extracts_typed_value(self): """Test RLM SUBMIT correctly extracts typed value.""" rlm = RLM("query -> count: int", max_iters=3) rlm.generate_action = make_mock_predictor([ {"reasoning": "Compute and return", "code": "result = 42\nSUBMIT(result)"}, ]) - result = rlm.forward(pooled_interpreter, query="count items") + result = rlm.forward(query="count items") assert result.count == 42 assert isinstance(result.count, int) @@ -1257,49 +1257,48 @@ def test_submit_extracts_typed_value(self, pooled_interpreter): # ============================================================================ -@pytest.mark.deno class TestRLMMultipleOutputs: """Tests for signatures with multiple typed output fields. Tests SUBMIT() calling patterns with multi-output signatures. """ - def test_multi_output_final_kwargs(self, pooled_interpreter): + def test_multi_output_final_kwargs(self): """SUBMIT(field1=val1, field2=val2) with keyword args.""" rlm = RLM("query -> name: str, count: int", max_iters=3) rlm.generate_action = make_mock_predictor([ {"reasoning": "Return both outputs", "code": 'SUBMIT(name="alice", count=5)'}, ]) - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert result.name == "alice" assert result.count == 5 assert isinstance(result.count, int) - def test_multi_output_final_positional(self, pooled_interpreter): + def test_multi_output_final_positional(self): """SUBMIT(val1, val2) with positional args mapped to field order.""" rlm = RLM("query -> name: str, count: int", max_iters=3) rlm.generate_action = make_mock_predictor([ {"reasoning": "Return both outputs positionally", "code": 'SUBMIT("bob", 10)'}, ]) - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert result.name == "bob" assert result.count == 10 - def test_multi_output_three_fields(self, pooled_interpreter): + def test_multi_output_three_fields(self): """Signature with 3+ output fields of different types.""" rlm = RLM("query -> name: str, age: int, active: bool", max_iters=3) rlm.generate_action = make_mock_predictor([ {"reasoning": "Return all three", "code": 'SUBMIT(name="carol", age=30, active=True)'}, ]) - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert result.name == "carol" assert result.age == 30 assert result.active is True - def test_multi_output_final_missing_field_errors(self, pooled_interpreter): + def test_multi_output_final_missing_field_errors(self): """SUBMIT() with missing field should return error in output.""" rlm = RLM("query -> name: str, count: int", max_iters=3) rlm.generate_action = make_mock_predictor([ @@ -1308,29 +1307,29 @@ def test_multi_output_final_missing_field_errors(self, pooled_interpreter): ]) # RLM should retry after getting error for missing field - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert result.name == "alice" assert result.count == 5 - def test_multi_output_submit_vars(self, pooled_interpreter): + def test_multi_output_submit_vars(self): """SUBMIT can pass variables directly for multiple outputs.""" rlm = RLM("query -> name: str, count: int", max_iters=3) rlm.generate_action = make_mock_predictor([ {"reasoning": "Use SUBMIT", "code": 'n = "dave"\nc = 15\nSUBMIT(n, c)'}, ]) - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert result.name == "dave" assert result.count == 15 - def test_multi_output_type_coercion(self, pooled_interpreter): + def test_multi_output_type_coercion(self): """Each output field is coerced to its declared type.""" rlm = RLM("query -> count: int, ratio: float, flag: bool", max_iters=3) rlm.generate_action = make_mock_predictor([ {"reasoning": "Return mixed types", "code": "SUBMIT(count=42, ratio=3.14, flag=True)"}, ]) - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert result.count == 42 assert isinstance(result.count, int) assert result.ratio == 3.14 @@ -1340,52 +1339,51 @@ def test_multi_output_type_coercion(self, pooled_interpreter): # ============================================================================ -# Integration Tests: RLM with DummyLM and PythonInterpreter +# Integration Tests: RLM with DummyLM and MontyInterpreter # ============================================================================ -@pytest.mark.deno class TestRLMWithDummyLM: - """End-to-end tests using DummyLM with RLM and PythonInterpreter. + """End-to-end tests using DummyLM with RLM and MontyInterpreter. - Note: These tests let RLM create its own PythonInterpreter so it can register + These tests let RLM create its default MontyInterpreter so it can register typed output_fields for SUBMIT based on the signature. """ - def test_simple_computation_e2e(self, pooled_interpreter): - """Test full RLM pipeline: DummyLM -> RLM -> PythonInterpreter -> result.""" + def test_simple_computation_e2e(self): + """Test full RLM pipeline: DummyLM -> RLM -> MontyInterpreter -> result.""" with dummy_lm_context([ {"reasoning": "I need to compute 2 + 3", "code": "result = 2 + 3\nSUBMIT(result)"}, ]): rlm = RLM("query -> answer: int", max_iters=3) - result = rlm.forward(pooled_interpreter, query="What is 2 + 3?") + result = rlm.forward(query="What is 2 + 3?") assert result.answer == 5 assert isinstance(result.answer, int) - def test_multi_turn_computation_e2e(self, pooled_interpreter): + def test_multi_turn_computation_e2e(self): """Test RLM with multiple turns before SUBMIT.""" with dummy_lm_context([ {"reasoning": "First explore the data", "code": "x = 10\nprint(f'x = {x}')"}, {"reasoning": "Now compute and return", "code": "y = x * 2\nSUBMIT(y)"}, ]): rlm = RLM("query -> answer: int", max_iters=5) - result = rlm.forward(pooled_interpreter, query="Double ten") + result = rlm.forward(query="Double ten") assert result.answer == 20 assert len(result.trajectory) == 2 - def test_with_input_variables_e2e(self, pooled_interpreter): + def test_with_input_variables_e2e(self): """Test RLM with input variables passed to sandbox.""" with dummy_lm_context([ {"reasoning": "Sum the numbers in the list", "code": "SUBMIT(sum(numbers))"}, ]): rlm = RLM("numbers: list[int] -> total: int", max_iters=3) - result = rlm.forward(pooled_interpreter, numbers=[1, 2, 3, 4, 5]) + result = rlm.forward(numbers=[1, 2, 3, 4, 5]) assert result.total == 15 - def test_with_tool_e2e(self, pooled_interpreter): + def test_with_tool_e2e(self): """Test RLM calling a host-side tool through the sandbox.""" def lookup(key: str) -> str: return {"apple": "red", "banana": "yellow"}.get(key, "unknown") @@ -1394,11 +1392,11 @@ def lookup(key: str) -> str: {"reasoning": "Look up the color of apple", "code": 'color = lookup(key="apple")\nSUBMIT(color)'}, ]): rlm = RLM("fruit -> color: str", max_iters=3, tools=[lookup]) - result = rlm.forward(pooled_interpreter, fruit="apple") + result = rlm.forward(fruit="apple") assert result.color == "red" - def test_dspy_tool_execution_semantics_e2e(self, pooled_interpreter): + def test_dspy_tool_execution_semantics_e2e(self): import inspect from pydantic import BaseModel @@ -1437,7 +1435,7 @@ def on_tool_end(self, call_id, outputs, exception): }, ]): with dspy.context(callbacks=[Recorder()]): - result = rlm.forward(pooled_interpreter, query="test") + result = rlm.forward(query="test") assert result.answer == 6 assert len(received) == 1 @@ -1448,7 +1446,7 @@ def on_tool_end(self, call_id, outputs, exception): @pytest.mark.asyncio async def test_aforward_simple_computation_e2e(self): - """Test aforward() full pipeline: DummyLM -> RLM -> PythonInterpreter -> result.""" + """Test aforward() full pipeline: DummyLM -> RLM -> MontyInterpreter -> result.""" with dummy_lm_context([ {"reasoning": "I need to compute 2 + 3", "code": "result = 2 + 3\nSUBMIT(result)"}, ]): diff --git a/tests/primitives/test_monty_interpreter.py b/tests/primitives/test_monty_interpreter.py new file mode 100644 index 0000000000..27eefed479 --- /dev/null +++ b/tests/primitives/test_monty_interpreter.py @@ -0,0 +1,41 @@ +from __future__ import annotations + +import pytest + +from dspy.primitives.code_interpreter import CodeExecutionError, CodeInterpreter, CodeInterpreterError, FinalOutput +from dspy.primitives.monty_interpreter import MontyInterpreter + + +def test_implements_code_interpreter() -> None: + assert isinstance(MontyInterpreter(), CodeInterpreter) + + +def test_persistent_execution_and_submit() -> None: + with MontyInterpreter() as interpreter: + interpreter.execute("value = 40") + assert interpreter.execute("value + 2") == 42 + interpreter.output_fields = [{"name": "answer"}] + assert interpreter.execute("SUBMIT(value + 2)") == FinalOutput({"answer": 42}) + + +def test_host_tool_accepts_positional_arguments() -> None: + interpreter = MontyInterpreter(tools={"add": lambda a, b: a + b}) + try: + assert interpreter.execute("add(20, 22)") == 42 + finally: + interpreter.shutdown() + + +def test_guest_errors_are_recoverable() -> None: + with MontyInterpreter() as interpreter: + with pytest.raises(CodeExecutionError): + interpreter.execute("missing_name") + assert interpreter.execute("6 * 7") == 42 + + +def test_shutdown_is_terminal() -> None: + interpreter = MontyInterpreter() + interpreter.start() + interpreter.shutdown() + with pytest.raises(CodeInterpreterError, match="shut down"): + interpreter.execute("1 + 1") diff --git a/uv.lock b/uv.lock index 07d5de5d3f..44ea55551a 100644 --- a/uv.lock +++ b/uv.lock @@ -776,6 +776,7 @@ dependencies = [ { name = "openai", version = "1.88.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14' or sys_platform == 'win32'" }, { name = "orjson" }, { name = "pydantic" 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