Main (#543)
This commit is contained in:
Rodrigo Nader
GitHub
commit
ae71a54a06
8 changed files with 89 additions and 49 deletions
72
poetry.lock
generated
72
poetry.lock
generated
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@ -296,14 +296,14 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
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[[package]]
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name = "authlib"
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version = "1.2.0"
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version = "1.2.1"
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description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
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category = "main"
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optional = false
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python-versions = "*"
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files = [
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{file = "Authlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:4ddf4fd6cfa75c9a460b361d4bd9dac71ffda0be879dbe4292a02e92349ad55a"},
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{file = "Authlib-1.2.0.tar.gz", hash = "sha256:4fa3e80883a5915ef9f5bc28630564bc4ed5b5af39812a3ff130ec76bd631e9d"},
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{file = "Authlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:c88984ea00149a90e3537c964327da930779afa4564e354edfd98410bea01911"},
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{file = "Authlib-1.2.1.tar.gz", hash = "sha256:421f7c6b468d907ca2d9afede256f068f87e34d23dd221c07d13d4c234726afb"},
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]
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[package.dependencies]
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@ -2580,14 +2580,14 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
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[[package]]
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name = "keyring"
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version = "24.1.0"
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version = "24.2.0"
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description = "Store and access your passwords safely."
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category = "main"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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{file = "keyring-24.1.0-py3-none-any.whl", hash = "sha256:ade5e1e7710a7579d7c01e64a712926270239aba48055b1cdc6c022dd6d789b5"},
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{file = "keyring-24.1.0.tar.gz", hash = "sha256:bd48a36612ef55505bf70e563528e3e66ba93267e344b6780cf6151f9c1eda6d"},
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{file = "keyring-24.2.0-py3-none-any.whl", hash = "sha256:4901caaf597bfd3bbd78c9a0c7c4c29fcd8310dab2cffefe749e916b6527acd6"},
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{file = "keyring-24.2.0.tar.gz", hash = "sha256:ca0746a19ec421219f4d713f848fa297a661a8a8c1504867e55bfb5e09091509"},
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]
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[package.dependencies]
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@ -2604,14 +2604,14 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
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[[package]]
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name = "langchain"
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version = "0.0.211"
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version = "0.0.215"
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description = "Building applications with LLMs through composability"
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category = "main"
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langchain-0.0.211-py3-none-any.whl", hash = "sha256:527b602466d68e5c4e82c550cb6e218d7fe0e1b3d37f97beddc13785a75dbf96"},
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{file = "langchain-0.0.211.tar.gz", hash = "sha256:35b43d4492ef3de67b6ea0168f12a489029cae0f5c4031d5c907764168b177cb"},
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{file = "langchain-0.0.215-py3-none-any.whl", hash = "sha256:af9587c2eb317a6e33123f8a4ee8ccd8685cfab62359ea4fec52c962d9646acf"},
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{file = "langchain-0.0.215.tar.gz", hash = "sha256:a6b261f3be941eeac2d9b37fbf8996fa4279ef724f064e8c90813046126da85b"},
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]
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[package.dependencies]
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@ -5445,41 +5445,39 @@ tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (
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[[package]]
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name = "scipy"
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version = "1.10.1"
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version = "1.11.0"
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description = "Fundamental algorithms for scientific computing in Python"
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category = "main"
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optional = false
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python-versions = "<3.12,>=3.8"
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python-versions = "<3.13,>=3.9"
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files = [
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{file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"},
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{file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"},
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{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f"},
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{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2"},
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{file = "scipy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"},
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{file = "scipy-1.10.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5"},
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{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d"},
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{file = "scipy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f"},
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{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1"},
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{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
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{file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
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{file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
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{file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
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{file = "scipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2e4f14c11fbf825319dbd7f467639a241e7c956c34edb1e036ec7bb6271e4f7b"},
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{file = "scipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c29bae479b17d85208dfdfc67e50d5944ee23211f236728aadde9b0b7c1c33e"},
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{file = "scipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a53f9cebcfda6158c241c35a559407a4ef6b8cb0863eb4144958fe0a0b7c3dae"},
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{file = "scipy-1.11.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ebf4b2ea26d50312731ddba2406389c5ddcbff9d777cf3277ea11decc81e5dfb"},
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{file = "scipy-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:894ced9a2cdb050ff5e392f274617af46dca896d5c9112fa4a2019929554d321"},
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{file = "scipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7a92bd3cd4acad2e0e0b360176d5ec68b100983c8145add8a8233acddf4e5fcc"},
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{file = "scipy-1.11.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:586608ea35206257d4e0ce6f154a6cfef71723b2c1f6d40de5e0b0e8a81cd2ff"},
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{file = "scipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e631c3c49c24f30828580b8126fe3be5cca5409dad5b797418a5b8965eeafa"},
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{file = "scipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ccc70892ea674f93183c5c4139557b611e42f644dd755da4b19ca974ab770672"},
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{file = "scipy-1.11.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80015b8928f91bd40377b2b1010ba2e09b03680cbfc291208740494aeb8debf2"},
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||||
{file = "scipy-1.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:6302c7cba5bf99c901653ff158746625526cc438f058bce41514d7469b79b2c3"},
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||||
{file = "scipy-1.11.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c61ea63124da6a3cff38126426912cc86420898b4902a9bc5e5b6524547a6dcb"},
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{file = "scipy-1.11.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:684d44607eacd5dd367c7a9e76e922523fa9c0a7f2379a4d0fc4d70d751464cc"},
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{file = "scipy-1.11.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0c9c160d117fe71cd2a12ef21cce8e0475ade2fd97c761ef327b9839089bd16"},
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{file = "scipy-1.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83867a63515c4e3fce3272d81200dda614d70f4c3a22f047d84021bfe83d7929"},
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{file = "scipy-1.11.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6666a1e31b2123a077f0dc7ab1053e36479cfd457fb9f5c367e7198505c6607a"},
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{file = "scipy-1.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:fad4006248513528e0c496de295a9f4d2b65086cc0e388f748e7dbf49fa12760"},
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{file = "scipy-1.11.0.tar.gz", hash = "sha256:f9b0248cb9d08eead44cde47cbf6339f1e9aa0dfde28f5fb27950743e317bd5d"},
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]
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[package.dependencies]
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numpy = ">=1.19.5,<1.27.0"
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numpy = ">=1.21.6,<1.28.0"
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[package.extras]
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dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
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doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
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dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
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doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
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test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
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[[package]]
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@ -7117,4 +7115,4 @@ deploy = ["langchain-serve"]
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.9,<3.12"
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content-hash = "e7b18762564269aaf9c6b046fa151f5e3acf85444f38653503341f658155e70a"
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content-hash = "2f8373e1c80ce345f39ed9247fd4759ae94b5c754c4e850d3aa72183556eb92b"
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@ -1,6 +1,6 @@
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[tool.poetry]
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name = "langflow"
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version = "0.2.0"
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version = "0.2.1"
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description = "A Python package with a built-in web application"
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authors = ["Logspace <contact@logspace.ai>"]
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maintainers = [
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@ -30,7 +30,7 @@ google-search-results = "^2.4.1"
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google-api-python-client = "^2.79.0"
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typer = "^0.9.0"
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gunicorn = "^20.1.0"
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langchain = "^0.0.211"
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langchain = "^0.0.215"
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openai = "^0.27.8"
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types-pyyaml = "^6.0.12.8"
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pandas = "^1.5.3"
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@ -72,7 +72,7 @@ pymongo = "^4.4.0"
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certifi = "^2023.5.7"
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[tool.poetry.group.dev.dependencies]
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[tool.poetry.dev-dependencies]
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black = "^23.1.0"
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ipykernel = "^6.21.2"
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mypy = "^1.1.1"
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@ -30,6 +30,7 @@ def get_number_of_workers(workers=None):
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def update_settings(
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config: str,
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cache: str,
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dev: bool = False,
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database_url: Optional[str] = None,
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remove_api_keys: bool = False,
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@ -41,6 +42,8 @@ def update_settings(
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settings.update_settings(database_url=database_url)
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if remove_api_keys:
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settings.update_settings(remove_api_keys=remove_api_keys)
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if cache:
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settings.update_settings(cache=cache)
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def serve_on_jcloud():
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@ -102,6 +105,11 @@ def serve(
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),
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log_level: str = typer.Option("critical", help="Logging level."),
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log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."),
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cache: str = typer.Argument(
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envvar="LANGCHAIN_CACHE",
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help="Type of cache to use. (InMemoryCache, SQLiteCache)",
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default="SQLiteCache",
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),
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jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
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dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
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database_url: str = typer.Option(
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@ -130,7 +138,11 @@ def serve(
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configure(log_level=log_level, log_file=log_file)
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update_settings(
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config, dev=dev, database_url=database_url, remove_api_keys=remove_api_keys
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config,
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dev=dev,
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database_url=database_url,
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remove_api_keys=remove_api_keys,
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cache=cache,
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)
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# get the directory of the current file
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if not path:
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@ -7,6 +7,7 @@ import re
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import yaml
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from langchain.base_language import BaseLanguageModel
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from PIL.Image import Image
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from langflow.utils.logger import logger
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def load_file_into_dict(file_path: str) -> dict:
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@ -58,3 +59,22 @@ def try_setting_streaming_options(langchain_object, websocket):
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def extract_input_variables_from_prompt(prompt: str) -> list[str]:
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"""Extract input variables from prompt."""
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return re.findall(r"{(.*?)}", prompt)
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def setup_llm_caching():
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"""Setup LLM caching."""
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try:
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import langchain
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from langflow.settings import settings
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from langflow.interface.importing.utils import import_class
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cache_class = import_class(f"langchain.cache.{settings.cache}")
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logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
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langchain.llm_cache = cache_class()
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logger.info(f"LLM caching setup with {cache_class.__name__}")
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except ImportError:
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logger.warning(f"Could not import {settings.cache}. ")
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||||
except Exception as exc:
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||||
logger.warning(f"Could not setup LLM caching. Error: {exc}")
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|
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|
|||
|
|
@ -3,6 +3,7 @@ from fastapi.middleware.cors import CORSMiddleware
|
|||
|
||||
from langflow.api import router
|
||||
from langflow.database.base import create_db_and_tables
|
||||
from langflow.interface.utils import setup_llm_caching
|
||||
|
||||
|
||||
def create_app():
|
||||
|
|
@ -28,6 +29,7 @@ def create_app():
|
|||
|
||||
app.include_router(router)
|
||||
app.on_event("startup")(create_db_and_tables)
|
||||
app.on_event("startup")(setup_llm_caching)
|
||||
return app
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -21,6 +21,7 @@ class Settings(BaseSettings):
|
|||
utilities: List[str] = []
|
||||
dev: bool = False
|
||||
database_url: str = "sqlite:///./langflow.db"
|
||||
cache: str = "InMemoryCache"
|
||||
remove_api_keys: bool = False
|
||||
|
||||
class Config:
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
import React, { forwardRef } from "react";
|
||||
import { ReactComponent as MidjorneySVG } from "./Midjourney_Emblem.svg";
|
||||
import { ReactComponent as MidjourneySVG } from "./Midjourney_Emblem.svg";
|
||||
|
||||
export const MidjorneyIcon = forwardRef<
|
||||
export const MidjourneyIcon = forwardRef<
|
||||
SVGSVGElement,
|
||||
React.PropsWithChildren<{}>
|
||||
>((props, ref) => {
|
||||
return <MidjorneySVG ref={ref} {...props} />;
|
||||
return <MidjourneySVG ref={ref} {...props} />;
|
||||
});
|
||||
|
|
|
|||
|
|
@ -33,7 +33,7 @@ import { HackerNewsIcon } from "./icons/hackerNews";
|
|||
import { HugginFaceIcon } from "./icons/HuggingFace";
|
||||
import { IFixIcon } from "./icons/IFixIt";
|
||||
import { MetaIcon } from "./icons/Meta";
|
||||
import { MidjorneyIcon } from "./icons/Midjorney";
|
||||
import { MidjourneyIcon } from "./icons/Midjorney";
|
||||
import { NotionIcon } from "./icons/Notion";
|
||||
import { OpenAiIcon } from "./icons/OpenAi";
|
||||
import { QDrantIcon } from "./icons/QDrant";
|
||||
|
|
@ -45,7 +45,6 @@ import { twMerge } from "tailwind-merge";
|
|||
import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "./constants";
|
||||
import { ComponentType, SVGProps } from "react";
|
||||
import {
|
||||
Boxes,
|
||||
Cpu,
|
||||
Fingerprint,
|
||||
Gift,
|
||||
|
|
@ -53,7 +52,6 @@ import {
|
|||
HelpCircle,
|
||||
Laptop2,
|
||||
Layers,
|
||||
LayoutDashboard,
|
||||
Lightbulb,
|
||||
Link,
|
||||
MessageCircle,
|
||||
|
|
@ -189,7 +187,7 @@ export const nodeIcons: {
|
|||
HuggingFaceEmbeddings: HugginFaceIcon,
|
||||
IFixitLoader: IFixIcon,
|
||||
Meta: MetaIcon,
|
||||
Midjorney: MidjorneyIcon,
|
||||
Midjourney: MidjourneyIcon,
|
||||
NotionDirectoryLoader: NotionIcon,
|
||||
ChatOpenAI: OpenAiIcon,
|
||||
OpenAI: OpenAiIcon,
|
||||
|
|
@ -287,7 +285,10 @@ export const nodeIconsLucide: {
|
|||
Meta: MetaIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
Midjorney: MidjorneyIcon as React.ForwardRefExoticComponent<
|
||||
Midjorney: MidjourneyIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
MongoDBAtlasVectorSearch: MongoDBIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
NotionDirectoryLoader: NotionIcon as React.ForwardRefExoticComponent<
|
||||
|
|
@ -302,6 +303,9 @@ export const nodeIconsLucide: {
|
|||
OpenAIEmbeddings: OpenAiIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
Pinecone: PineconeIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
Qdrant: QDrantIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
|
|
@ -311,6 +315,9 @@ export const nodeIconsLucide: {
|
|||
SlackDirectoryLoader: SlackIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
SupabaseVectorStore: SupabaseIcon as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
agents: Rocket as React.ForwardRefExoticComponent<
|
||||
ComponentType<SVGProps<SVGSVGElement>>
|
||||
>,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue