[build-system]
requires = ["hatchling>=1.27,<1.33"]
build-backend = "hatchling.build"

[project]
name = "entroly"
version = "1.0.84"
description = "Drop-in Context Assurance for AI agents: reduce avoidable token usage and AI cost with evidence selection, receipts, exact recovery, and verification."
readme = "PYPI_README.md"
license = "Apache-2.0"
license-files = ["LICENSE", "NOTICE"]
logo = { file = "docs/assets/logo.png", content-type = "image/png" }
requires-python = ">=3.10"
authors = [
    { name = "entroly", email = "fastrunner10090@gmail.com" },
]
keywords = [
    "ai-agents", "ai-coding-agents", "ai-cost-optimization", "llm-cost-optimization", "reduce-ai-costs",
    "context-assurance", "context-engineering", "context-management", "context-optimization", "context-compression",
    "prompt-compression", "token-optimization", "token-reduction", "context-window", "context-receipts",
    "content-addressed-recovery", "context-control-plane", "llm-proxy", "local-models",
    "mcp", "mcp-server", "model-context-protocol", "github-copilot", "cursor", "claude-code", "codex",
    "openclaw", "hermes-agent", "opencode", "hallucination-detection", "agent-memory", "llm"
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3.14",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "mcp>=1.28.1,<2",
    "httpx>=0.28.1",
    "starlette>=1.3.1",
    "uvicorn>=0.51.0",
    # The native engine is a REQUIRED dependency, not an extra.
    #
    # Query-conditioned selection (QCCR) is gated on the native module: the
    # candidate set comes from `self._rust.export_fragments()`, which has no
    # pure-Python equivalent, so `optimize_context` skips relevance ranking
    # entirely without it (server.py). The measured effect of shipping this as
    # an extra: three unrelated queries -- including a nonsense control --
    # returned a byte-identical selection (23 fragments / 7,588 tokens) and the
    # same "76.29% saved", because the reported figure is baseline-minus-budget
    # arithmetic and nothing depended on the query. Every accuracy benchmark in
    # this repo (needle/longbench/squad/bfcl/mmlu/gsm8k/truthfulqa) measures the
    # QCCR path, so an install without it does not run the code that was
    # benchmarked.
    #
    # `pip install entroly` is the command in the README, the quickstart, and
    # every integration doc. It must produce the engine those docs describe.
    # abi3 wheels are published for macOS universal2, glibc+musl Linux
    # x86_64/aarch64, and Windows x64; the pure-Python fallback remains for any
    # platform without a wheel.
    "entroly-core>=1.0.84,<2",
    # Required, not optional: it is the only reader for the governance policy
    # file.
    #
    # `governance/policy.py` is the sole yaml importer, and it degrades to the
    # built-in deny-by-default policy when the import fails -- logged, never
    # raised. PyYAML was declared in no dependency group and is not pulled in
    # transitively, so on a default `pip install entroly` an operator's
    # policies.yaml was read by nothing: every agent ran read-only regardless
    # of what the file said, and `load_policies` returned as if it had loaded.
    #
    # Failing to the restrictive side is right; doing it silently is not.
    # `policy_source_status` now names the reason, and this pin means the
    # answer is no longer "the parser is missing".
    #
    # Longer term this parsing belongs in entroly-engine with the rest of the
    # governance computation, so Python, Node, and WASM cannot disagree about
    # what a policy says -- the same reason identity tokens are computed there.
    "pyyaml>=6.0,<7",
]

[project.urls]
Homepage = "https://juyterman1000.github.io/entroly/"
Documentation = "https://juyterman1000.github.io/entroly/"
Source = "https://github.com/juyterman1000/entroly"
Issues = "https://github.com/juyterman1000/entroly/issues"
"Release Notes" = "https://github.com/juyterman1000/entroly/releases"

[project.optional-dependencies]
# Retained as a compatibility alias for existing install instructions. The
# public proxy/go commands now work from a plain base install.
proxy = [
    "httpx>=0.28.1",
    "starlette>=1.3.1",
    "uvicorn>=0.51.0",
]
# Retained as a compatibility alias for existing install instructions. The
# native engine now ships with the base install, so `entroly[native]` and a
# plain `entroly` resolve to the same thing.
native = [
    "entroly-core>=1.0.84,<2",
]
receipt-proof = [
    "cryptography>=42",
]
code-intelligence = [
    "tree-sitter-language-pack>=1.14.3,<2",
]
images = [
    "Pillow>=10,<13",
]
browser = [
    "playwright>=1.49,<2",
]
full = [
    "cryptography>=42",
    "entroly-core>=1.0.84,<2",
    "httpx>=0.28.1",
    "starlette>=1.3.1",
    "uvicorn>=0.51.0",
    "tree-sitter-language-pack>=1.14.3,<2",
    "playwright>=1.49,<2",
]
test = [
    "pytest>=9.0.3,<10",
    "pytest-timeout>=2.3,<3",
    "tiktoken>=0.9,<0.15",
]
benchmark = [
    "tiktoken>=0.9,<0.15",
]
neural = [
    "sentence-transformers>=5.6.1,<7",
]
neural-benchmark = [
    "datasets>=4,<6",
    "sentence-transformers>=5.6.1,<7",
]

[project.scripts]
entroly = "entroly.docker_launcher_safe:launch"
entroly-memory = "entroly.memory_cli:main"
entroly-compression-mcp = "entroly.compression_mcp:main"
entroly-repository-mcp = "entroly.repository_intelligence.mcp:main"
entroly-work = "entroly.work_graph_cli:main"
entroly-work-graph-mcp = "entroly.work_graph_mcp_server:main"

[tool.pytest.ini_options]
testpaths = ["tests"]

[tool.hatch.build.targets.wheel]
core-metadata-version = "2.4"

[tool.hatch.build.targets.sdist]
core-metadata-version = "2.4"

[tool.ruff]
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "W"]
ignore = [
    "UP006",   # Use `dict` instead of `Dict` — we keep typing.Dict for 3.9 compat
    "UP007",   # Use `X | Y` instead of `Union[X, Y]`
    "UP035",   # Import from `collections.abc` instead of `typing`
    "UP045",   # Use `X | None` instead of `Optional[X]`
    "E501",    # Line too long — we use descriptive print strings
    "F401",    # Unused import — some are used conditionally
    "E722",    # Bare except — used intentionally for resilient CLI
    "W605",    # Invalid escape sequence — some are in regex patterns
]

[tool.ruff.lint.per-file-ignores]
"tests/*" = ["F811"]  # Redefined names in test fixtures
"entroly/context_check.py" = ["E731"]  # Local formatter lambda is intentionally compact