[tool.poetry] name = "langgraph-prebuilt" version = "0.1.8" description = "Library with high-level APIs for creating and executing LangGraph agents and tools." authors = [] license = "MIT" readme = "README.md" repository = "https://www.github.com/langchain-ai/langgraph" packages = [{ include = "langgraph" }] [tool.poetry.dependencies] python = "^3.9.0,<4.0" langgraph-checkpoint = "^2.0.10" langchain-core = ">=0.2.43,<0.4.0,!=0.3.0,!=0.3.1,!=0.3.2,!=0.3.3,!=0.3.4,!=0.3.5,!=0.3.6,!=0.3.7,!=0.3.8,!=0.3.9,!=0.3.10,!=0.3.11,!=0.3.12,!=0.3.13,!=0.3.14,!=0.3.15,!=0.3.16,!=0.3.17,!=0.3.18,!=0.3.19,!=0.3.20,!=0.3.21,!=0.3.22" [tool.poetry.group.dev.dependencies] ruff = "^0.6.2" codespell = "^2.2.0" pytest = "^7.2.1" pytest-asyncio = "^0.21.1" pytest-mock = "^3.11.1" pytest-watcher = "^0.4.1" mypy = "^1.10.0" langgraph = {path = "../langgraph", develop = true} langgraph-checkpoint = {path = "../checkpoint", develop = true} langgraph-checkpoint-sqlite = {path = "../checkpoint-sqlite", develop = true} langgraph-checkpoint-postgres = {path = "../checkpoint-postgres", develop = true} [tool.pytest.ini_options] # --strict-markers will raise errors on unknown marks. # https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks # # https://docs.pytest.org/en/7.1.x/reference/reference.html # --strict-config any warnings encountered while parsing the `pytest` # section of the configuration file raise errors. addopts = "--strict-markers --strict-config --durations=5 -vv" asyncio_mode = "auto" [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" [tool.ruff] lint.select = [ "E", "F", "I", "TID251" ] lint.ignore = [ "E501" ] [tool.pytest-watcher] now = true delay = 0.1 runner_args = ["--ff", "-v", "--tb", "short"] patterns = ["*.py"] [tool.mypy] # https://mypy.readthedocs.io/en/stable/config_file.html disallow_untyped_defs = "True" explicit_package_bases = "True" warn_no_return = "False" warn_unused_ignores = "True" warn_redundant_casts = "True" allow_redefinition = "True" disable_error_code = "typeddict-item, return-value"