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with LLMs from text" authors = ["Eugene Yurtsev "] license = "MIT" @@ -13,9 +13,6 @@ pandas = "<3,>=1.5.3" markdownify = {version = "^0.11.6", optional = false} pydantic = "^2" langchain-core = "^0.3" -sphinxcontrib-applehelp = "^1" -sphinxcontrib-devhelp = "^1" -sphinxcontrib-htmlhelp = "^2" [tool.poetry.group.dev.dependencies] jupyterlab = "^3" @@ -26,6 +23,7 @@ black = { version="^23.1.0", extras=["jupyter"] } poethepoet = "^0.18.1" ruff = "^0.1.4" pytest-cov = "^4.0.0" +langchain-openai = "^0.0.5" [tool.poetry.group.docs.dependencies] nbsphinx = "^0.8.9"