pyproject.toml

[tool.poetry]
name = "llm-app"
version = "0.3.6"
description = "LLM-App is a library for creating responsive AI applications leveraging OpenAI/Hugging Face APIs to provide responses to user queries based on live data sources. Build your own LLM application in 30 lines of code, no vector database required."
authors = [
    "Jan Chorowski <janek@pathway.com>",
    "Kamil Piechowiak <kamil@pathway.com>",
    "Jakub Kowalski <kuba@pathway.com>",
    "Michał Bartoszkiewicz <embe@pathway.com>",
    "Mohamed Malhou <mohamed@pathway.com>",
    "Sergey Kulik <sergey@pathway.com>",
    "Adrian Kosowski <adrian@pathway.com>",
    "Mateusz Lewandowski <mateusz@pathway.com>",
    "Olivier Ruas <olivier@pathway.com>",
]
license = "MIT"
readme = "README.md"
keywords = ["Pathway", "LLM"]
package-mode = false

classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: Implementation :: CPython",
    "License :: OSI Approved :: MIT License",
]

[tool.poetry.urls]
"Homepage" = "https://github.com/pathwaycom/llm-app"
"Source Code" = "https://github.com/pathwaycom/llm-app"

[tool.poetry.dependencies]
python = ">=3.10,<3.13"
pathway = "^0.12.0"

[tool.poetry.group.linters]
optional = true

[tool.poetry.group.linters.dependencies]
black = "^24.2.0"
isort = "^5.13.2"
mypy = "~1.10.0"
flake8 = "~7.0.0"
pytest = "^8.0.2"
types-requests = "^2.31.0"
types-PyYAML = "^6.0.0"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

[tool.black]
target-version = ["py310", "py311"]

[tool.isort]
profile = "black"

[tool.mypy]
python_version = "3.10"
exclude = ["examples/data", "examples/pipelines/adaptive-rag", "examples/pipelines/private-rag", "examples/pipelines/demo-document-indexing"]
ignore_missing_imports = true
check_untyped_defs = true
warn_redundant_casts = true
warn_unused_ignores = true
strict_equality = true