gois-lite/pyproject.toml at main · naubergois/gois-lite · GitHub

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[project]
name = "gois"
version = "0.1.0"
description = "gois-lite — lite QClaw monitor with dev skills, LLM recovery agent, and Hermes/OpenClaw dashboard"
license = { text = "MIT" }
requires-python = ">=3.11"
dependencies = [
    "openai>=1.40",
    "httpx>=0.27",
    "pydantic>=2.6",
    "pyyaml>=6.0",
    "pywebview>=5.3",
    "edge-tts>=6.1",
    "prometheus-client>=0.20",
    "chromadb>=0.5",
    "qrcode>=7.4",
    "croniter>=6.0.0",
    "playwright>=1.40",
    "boto3>=1.34",
    "pymongo>=4.6",
    "redis>=5.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.0",
    "pytest-asyncio>=0.23",
]
# Fase 0 — gateway/observabilidade LLM (LiteLLM + Langfuse). Opcional: o
# llm_gateway funciona sem estes pacotes (ledger JSONL local), mas o proxy
# LiteLLM e o tracing Langfuse exigem-nos.
observability = [
    "litellm>=1.40",
    "langfuse>=2.0",
]
# Fase 1 — orquestração executável de swarms. Opcional: swarm_graph tem motor
# sequencial determinístico embutido; langgraph só é necessário para o motor
# baseado em grafo com checkpointing nativo.
orchestration = [
    "langgraph>=0.2",
]
# Fase 2 — memória compartilhada (blackboard). Opcional: o backend local (JSONL
# por swarm) funciona sem dependências; mem0 habilita recuperação semântica.
memory = [
    "mem0ai>=0.1",
]
# Fase 3 — avaliação de qualidade/regressão de swarms. Opcional: o backend local
# (heurístico) funciona sem deps; deepeval habilita avaliação semântica via LLM.
eval = [
    "deepeval>=1.0",
]
# Fase 4 — roteamento custo/qualidade aprendido. Opcional: o cost_router tem
# backend heurístico embutido (offline); routellm habilita o router aprendido.
routing = [
    "routellm>=0.2",
]

[project.scripts]
gois = "gois.__main__:main"
gois-webapp = "gois.webapp:main"
qclaw-cards-mcp = "gois.mcp_cards_server:run_stdio_server"
qclaw-skills-mcp = "gois.mcp_skills_server:run_stdio_server"
qclaw-swarm-mcp = "gois.mcp_swarm_server:run_stdio_server"
qclaw-cards-sse = "gois.mcp_sse_server:start_sse_server"
kdp-publish = "gois.kdp.cli:main"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["src/gois", "src/qclawmonitor"]

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
markers = [
    "mongo_kanban: tests that require MongoDB-backed kanban (not YAML fallback)",
    "mongo_production: opt out of isolated MONGODB_DB (tests production-db guards)",
    "runtime_redis: tests that require Redis-backed runtime state",
    "runtime_mongo: tests that require MongoDB-backed runtime blobs",
    "wa_business_hours: tests that enforce WhatsApp business-hours policy",
]