"""Fuzz every tool of every task with hostile arguments; no call may raise, and every reward must be in [0, 1]. Usage: .venv/bin/python tests/fuzz_tools.py [--seeds 4] [--rounds 60] """ import argparse import math import random import sys import time import traceback from pathlib import Path sys.path.insert(0, str(Path(__file__).resolve().parents[1])) from diligence.environment import TASK_IDS, DiligenceEnvironment # noqa: E402 from diligence.models import ToolAction # noqa: E402 STRINGS = ["", " ", "\n", "None", "null", "-1", "0", "1e309", "nan", "../../etc/passwd", "/etc/passwd", "./", ".", "x" * 20000, "\x00", "é漢字🙂", "'; DROP TABLE invoices; --", "{{}}", "%s%s%n", "\\", "e1", "E1", "2026-10-05", "2026-02-30", "25:99", "09:00", "9:00", "09:00:00", "-09:00", "README.md", "DEPLOYMENT.md", "Dana Whitfield", "CWE-89", "cwe-89 sql injection", "SELECT 1", "print(1)", "import os; os._exit(0)"] INTS = [0, 1, -1, 2, 7, 13, 99, 10 ** 18, -(10 ** 18), 2 ** 63] FLOATS = [0.0, -0.0, 1.5, float("inf"), float("-inf"), float("nan"), 1e308] def value(rng, depth=0): kind = rng.random() if kind < 0.35: return rng.choice(STRINGS) if kind < 0.5: return rng.choice(INTS) if kind < 0.6: return rng.choice(FLOATS) if kind < 0.65: return rng.choice([True, False, None]) if depth > 2: return rng.choice(STRINGS) if kind < 0.82: return [value(rng, depth + 1) for _ in range(rng.randint(0, 4))] keys = STRINGS[:8] + ["answer", "value", "file", "line", "cwe", "total_usd", "top_customer", "date", "start"] return {str(rng.choice(keys)): value(rng, depth + 1) for _ in range(rng.randint(0, 4))} def args_for(rng, tool): """Mostly well-typed arguments (so the tool body runs), sometimes extra, missing or mistyped ones.""" out = {} for name, typ in tool.args.items(): if rng.random() < 0.08: continue v = value(rng) if rng.random() < 0.8: for _ in range(50): if isinstance(v, typ) and not (typ in (int, float) and isinstance(v, bool)): break v = value(rng) out[name] = v if rng.random() < 0.05: out[rng.choice(STRINGS[:5])] = value(rng) return out def check(obs, where): assert isinstance(obs.output, str), where assert isinstance(obs.done, bool), where r = obs.reward assert r is None or (isinstance(r, (int, float)) and math.isfinite(r) and 0 <= r <= 1), (where, r) assert len(obs.output) <= 6100, (where, len(obs.output)) def main(): ap = argparse.ArgumentParser() ap.add_argument("--seeds", type=int, default=4) ap.add_argument("--rounds", type=int, default=60) args = ap.parse_args() rng = random.Random(12345) calls = failures = 0 slowest = (0.0, "") for task_id in TASK_IDS: for seed in range(args.seeds): env = DiligenceEnvironment() for _ in range(args.rounds): if env._done: check(env.reset(task_id=task_id, seed=seed, canonical_names=True), task_id) tool = rng.choice(list(env._tools.values())) if tool.name == "python" and rng.random() < 0.7: continue # python is slow; it gets its own adversarial tests action = {"tool": tool.name, "args": args_for(rng, tool)} if rng.random() < 0.03: action["tool"] = rng.choice(STRINGS[:6]) or "x" where = f"{task_id} seed {seed} {str(action)[:300]}" t0 = time.monotonic() try: check(env.step(ToolAction(**action)), where) except Exception: # noqa: BLE001 failures += 1 print("FAIL", where) traceback.print_exc(limit=3) took = time.monotonic() - t0 slowest = max(slowest, (took, where[:160])) calls += 1 # stepping after the episode is over must be harmless too env._done = True check(env.step(ToolAction(tool="submit", args={})), task_id) print(f"{task_id}: done ({calls} calls so far, {failures} failures)", flush=True) print(f"{calls} calls, {failures} failures; slowest {slowest[0]:.1f}s: {slowest[1]}") sys.exit(1 if failures else 0) if __name__ == "__main__": main()