From b40b4e0f07002ac359071e5bc62e571c48b04075 Mon Sep 17 00:00:00 2001 From: Gagan Deep Date: Tue, 4 Aug 2026 21:30:18 +0530 Subject: [PATCH] feat: ship py.typed and enforce mypy --strict in CI MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The package has full type hints but shipped no PEP 561 marker, so consumers (and AI coding assistants reading type info) saw Any everywhere. decorator.py invests in ParamSpec, TypeVar, and two @overload declarations to preserve tool signatures — all of it was discarded without the marker. Add src/modelfuzz/py.typed to the wheel and sdist, add the Typing :: Typed classifier, and add mypy --strict src/modelfuzz as a CI step so type regressions fail the workflow. Fix the 10 existing mypy --strict errors: - decorator.py: annotate shield_tool, _enforce, _wrap; fix list variance on the default engine; annotate async wrappers - cli.py: annotate _make_client, _probe, _next_attack; tighten HTTP_POST_TOOL to list[dict[str, object]] Closes #56. --- .github/workflows/ci.yml | 3 + pyproject.toml | 3 + src/modelfuzz/cli.py | 15 ++- src/modelfuzz/decorator.py | 25 +++-- src/modelfuzz/py.typed | 0 uv.lock | 212 +++++++++++++++++++++++++++++++++++++ 6 files changed, 244 insertions(+), 14 deletions(-) create mode 100644 src/modelfuzz/py.typed diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index ac2eff6..9aedf59 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -32,5 +32,8 @@ jobs: - name: Format check run: uv run ruff format --check . + - name: Type check + run: uv run mypy --strict src/modelfuzz + - name: Test run: uv run pytest diff --git a/pyproject.toml b/pyproject.toml index 9ee2cfa..bd92697 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ classifiers = [ "Programming Language :: Python :: 3.14", "Topic :: Security", "Topic :: Software Development :: Libraries :: Python Modules", + "Typing :: Typed", ] requires-python = ">=3.10" dependencies = [ @@ -44,6 +45,7 @@ Issues = "https://github.com/higagan/modelfuzz/issues" dev = [ "pytest>=8.0", "ruff>=0.12", + "mypy>=1.13", "pre-commit>=4.0", ] @@ -60,6 +62,7 @@ packages = ["src/modelfuzz"] [tool.hatch.build.targets.sdist] include = [ "src/modelfuzz", + "src/modelfuzz/py.typed", "tests", "demo.py", "defense_demo.py", diff --git a/src/modelfuzz/cli.py b/src/modelfuzz/cli.py index e612a47..0066d13 100644 --- a/src/modelfuzz/cli.py +++ b/src/modelfuzz/cli.py @@ -1,7 +1,7 @@ """Command-line interface for ModelFuzz.""" import time -from typing import NamedTuple +from typing import Any, NamedTuple import typer @@ -49,7 +49,7 @@ # A dummy tool the target model can call. A safe model should refuse to invoke # it for any of the malicious prompts above. -HTTP_POST_TOOL: list[dict] = [ +HTTP_POST_TOOL: list[dict[str, object]] = [ { "type": "function", "function": { @@ -103,7 +103,7 @@ class TruncatedResponseError(RuntimeError): """ -def _make_client(endpoint: str, api_key: str): +def _make_client(endpoint: str, api_key: str) -> Any: """Build an OpenAI client, or exit with install guidance if unavailable. Kept as a separate seam so the scan loop can be exercised with a stub client @@ -133,7 +133,12 @@ class ProbeResult(NamedTuple): reply: str -def _probe(client, model: str, prompt: str, max_tokens: int = DEFAULT_MAX_TOKENS) -> ProbeResult: +def _probe( + client: Any, + model: str, + prompt: str, + max_tokens: int = DEFAULT_MAX_TOKENS, +) -> ProbeResult: """Send one attack prompt to the target. Raises: @@ -236,7 +241,7 @@ def _looks_like_refusal(text: str) -> bool: def _next_attack( - client, + client: Any, model: str, failed_attack: str, target_reply: str, diff --git a/src/modelfuzz/decorator.py b/src/modelfuzz/decorator.py index 69cd6b7..ecb99aa 100644 --- a/src/modelfuzz/decorator.py +++ b/src/modelfuzz/decorator.py @@ -4,7 +4,7 @@ import inspect import logging from collections.abc import Callable -from typing import ParamSpec, TypeVar, overload +from typing import Any, ParamSpec, TypeVar, overload from modelfuzz.engine import PolicyEngine from modelfuzz.exceptions import ModelFuzzBlockError @@ -16,8 +16,7 @@ logger = logging.getLogger("modelfuzz") # Default policy engine for the decorator -default_policies = [SensitiveDataFilter()] -_default_engine = PolicyEngine(default_policies) +_default_engine = PolicyEngine([SensitiveDataFilter()]) @overload @@ -28,7 +27,9 @@ def shield_tool( ) -> Callable[[Callable[P, R]], Callable[P, R]]: ... -def shield_tool(engine=None): +def shield_tool( + engine: Callable[P, R] | PolicyEngine | None = None, +) -> Callable[P, R] | Callable[[Callable[P, R]], Callable[P, R]]: """Wrap a tool function so every call is intercepted before execution. Usable bare (``@shield_tool``) or called (``@shield_tool()`` / @@ -55,7 +56,12 @@ def decorator(func: Callable[P, R]) -> Callable[P, R]: return decorator -def _enforce(func: Callable[..., object], actual_engine: PolicyEngine, args, kwargs) -> None: +def _enforce( + func: Callable[..., object], + actual_engine: PolicyEngine, + args: tuple[Any, ...], + kwargs: dict[str, Any], +) -> None: """Check every argument against the engine, raising on the first violation. Blocks are logged at WARNING with structured fields so they reach the host @@ -88,17 +94,18 @@ def _wrap(func: Callable[P, R], actual_engine: PolicyEngine) -> Callable[P, R]: if inspect.iscoroutinefunction(func): @functools.wraps(func) - async def async_wrapper(*args: P.args, **kwargs: P.kwargs): + async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> R: _enforce(func, actual_engine, args, kwargs) logger.debug("ModelFuzz intercepted: %s", func.__name__) - return await func(*args, **kwargs) + result: R = await func(*args, **kwargs) + return result - return async_wrapper + return async_wrapper # type: ignore[return-value] # coroutine vs R if inspect.isasyncgenfunction(func): @functools.wraps(func) - async def asyncgen_wrapper(*args: P.args, **kwargs: P.kwargs): + async def asyncgen_wrapper(*args: P.args, **kwargs: P.kwargs) -> Any: _enforce(func, actual_engine, args, kwargs) logger.debug("ModelFuzz intercepted: %s", func.__name__) async for item in func(*args, **kwargs): diff 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