Vendor LLMmap / llm-verify / llm-fingerprint-detector under bash/fingerprint/tools so the three fingerprint benchmarks run with only /data1/eval mounted (no /data1/xii dependency): - run.py DEFAULT_TOOLS_ROOT prefers builtin tools/, falls back to /data1/xii - exclude .git / node_modules / template backups - detector dist/ (pre-built) retained; node_modules not needed at runtime
74 lines
1.5 KiB
TOML
74 lines
1.5 KiB
TOML
[project]
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name = "llm-verify"
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version = "0.1.0"
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description = "Detect fake AI APIs — LLM fingerprinting toolkit to verify model identity and catch AI model fraud"
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readme = "README.md"
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requires-python = ">=3.12"
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license = { text = "MIT" }
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dependencies = [
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.32.0",
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"pydantic>=2.10.0",
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"pydantic-settings>=2.7.0",
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"httpx>=0.28.0",
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"sqlalchemy[asyncio]>=2.0.36",
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"aiosqlite>=0.20.0",
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"alembic>=1.14.0",
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"structlog>=24.4.0",
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"python-dotenv>=1.0.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.3.0",
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"pytest-asyncio>=0.24.0",
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"pytest-cov>=6.0.0",
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"httpx", # for TestClient
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"ruff>=0.8.0",
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"mypy>=1.13.0",
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]
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[project.scripts]
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benchmarker = "src.cli:main"
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[tool.hatch.build.targets.wheel]
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packages = ["src"]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.ruff]
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target-version = "py312"
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line-length = 100
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[tool.ruff.lint]
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select = [
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"E", # pycodestyle errors
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"W", # pycodestyle warnings
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"F", # pyflakes
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"I", # isort
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"N", # pep8-naming
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"UP", # pyupgrade
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"B", # flake8-bugbear
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"SIM", # flake8-simplify
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"TCH", # flake8-type-checking
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"RUF", # ruff-specific rules
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]
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ignore = ["E501"] # line length handled by formatter
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[tool.ruff.lint.isort]
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known-first-party = ["src"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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asyncio_mode = "auto"
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pythonpath = ["."]
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[tool.mypy]
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python_version = "3.12"
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strict = true
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warn_return_any = true
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warn_unused_configs = true
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