dagpipe/pyproject.toml at main · devilsfave/dagpipe · GitHub

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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "dagpipe-core"
version = "0.2.3"
description = "LLM pipeline crash recovery for Python. Resumes from last successful node instead of restarting from scratch. No database required, just plain JSON files."
readme = "README.md"
requires-python = ">=3.12"
license = { text = "MIT" }
authors = [{ name = "Herbert" }]
keywords = ["llm", "ai", "genai", "pipeline", "dag", "orchestrator", "orchestration", "free-tier", "zero-cost", "checkpointing", "crash-recovery", "resilience", "structured-output", "constrained-generation", "pydantic", "json-schema", "function-calling", "tool-use", "agents", "ai-agents", "agentic-workflows", "workflow-engine", "langchain-alternative", "openai-alternative", "groq", "gemini", "task-dependency", "graph-orchestration", "retry-logic", "llm-pipeline"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3.12",
    "Topic :: Software Development :: Libraries",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "pydantic>=2.0",
    "pyyaml",
    "groq>=0.4.0",
    "fastmcp>=2.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "pytest-asyncio>=0.23",
]

[project.urls]
Homepage = "https://github.com/devilsfave/dagpipe"
Documentation = "https://github.com/devilsfave/dagpipe#readme"
Repository = "https://github.com/devilsfave/dagpipe"
Issues = "https://github.com/devilsfave/dagpipe/issues"
Changelog = "https://github.com/devilsfave/dagpipe/releases"

[tool.mcp]
mcp-name = "io.github.devilsfave/dagpipe"

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

[tool.setuptools.packages.find]
where = ["src"]