jyapayne/langflow
1
0
Fork 0
Code Issues Pull requests Projects Releases 1 Packages Wiki Activity Actions

Merge branch 'dev' into mainPage

Browse source
This commit is contained in:
Lucas Oliveira 2023-06-05 07:43:31 -03:00
commit 56d0898861
33 changed files with 436 additions and 250 deletions
Download patch file Download diff file Expand all files Collapse all files

164
poetry.lock generated
View file

@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. # This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
[[package]] [[package]]
name = "aiofiles" name = "aiofiles"
@ -148,6 +148,27 @@ files = [
{file = "aiostream-0.4.5.tar.gz", hash = "sha256:3ecbf87085230fbcd9605c32ca20c4fb41af02c71d076eab246ea22e35947d88"}, {file = "aiostream-0.4.5.tar.gz", hash = "sha256:3ecbf87085230fbcd9605c32ca20c4fb41af02c71d076eab246ea22e35947d88"},
] ]
[[package]]
name = "anthropic"
version = "0.2.10"
description = "Library for accessing the anthropic API"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
{file = "anthropic-0.2.10-py3-none-any.whl", hash = "sha256:a007496207fd186b0bcb9592b00ca130069d2a427f3d6f602a61dbbd1ac6316e"},
{file = "anthropic-0.2.10.tar.gz", hash = "sha256:e4da061a86d8ffb86072c0b0feaf219a3a4f7dfddd4224df9ba769e469498c19"},
]
[package.dependencies]
aiohttp = "*"
httpx = "*"
requests = "*"
tokenizers = "*"
[package.extras]
dev = ["black (>=22.3.0)", "pytest"]
[[package]] [[package]]
name = "anyio" name = "anyio"
version = "3.7.0" version = "3.7.0"
@ -719,14 +740,14 @@ superset = ["apache-superset (>=1.4.1)"]
[[package]] [[package]]
name = "cohere" name = "cohere"
version = "4.6.0" version = "4.7.0"
description = "" description = ""
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.7,<4.0" python-versions = ">=3.7,<4.0"
files = [ files = [
{file = "cohere-4.6.0-py3-none-any.whl", hash = "sha256:fc60fa73a2d96bdb9f70da4a290d3ede320b74ac01a24c229011049d7cb3511f"}, {file = "cohere-4.7.0-py3-none-any.whl", hash = "sha256:ed15621bd271b941110a572cbf6187a4db78cc8d7d9d35a881bffcaeeea21d7c"},
{file = "cohere-4.6.0.tar.gz", hash = "sha256:43218a0a40f6fc023e068732994fb631ce5d160a0bc9f9a3a22524b5932f34ea"}, {file = "cohere-4.7.0.tar.gz", hash = "sha256:46c674545ad36133a555c6db7f25bdc299e05ec4f77dee707b661a57eb06aea6"},
] ]
[package.dependencies] [package.dependencies]
@ -862,31 +883,31 @@ toml = ["tomli"]
[[package]] [[package]]
name = "cryptography" name = "cryptography"
version = "40.0.2" version = "41.0.1"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.6" python-versions = ">=3.7"
files = [ files = [
{file = "cryptography-40.0.2-cp36-abi3-macosx_10_12_universal2.whl", hash = "sha256:8f79b5ff5ad9d3218afb1e7e20ea74da5f76943ee5edb7f76e56ec5161ec782b"}, {file = "cryptography-41.0.1-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:f73bff05db2a3e5974a6fd248af2566134d8981fd7ab012e5dd4ddb1d9a70699"},
{file = "cryptography-40.0.2-cp36-abi3-macosx_10_12_x86_64.whl", hash = "sha256:05dc219433b14046c476f6f09d7636b92a1c3e5808b9a6536adf4932b3b2c440"}, {file = "cryptography-41.0.1-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:1a5472d40c8f8e91ff7a3d8ac6dfa363d8e3138b961529c996f3e2df0c7a411a"},
{file = "cryptography-40.0.2-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4df2af28d7bedc84fe45bd49bc35d710aede676e2a4cb7fc6d103a2adc8afe4d"}, {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7fa01527046ca5facdf973eef2535a27fec4cb651e4daec4d043ef63f6ecd4ca"},
{file = "cryptography-40.0.2-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dcca15d3a19a66e63662dc8d30f8036b07be851a8680eda92d079868f106288"}, {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b46e37db3cc267b4dea1f56da7346c9727e1209aa98487179ee8ebed09d21e43"},
{file = "cryptography-40.0.2-cp36-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:a04386fb7bc85fab9cd51b6308633a3c271e3d0d3eae917eebab2fac6219b6d2"}, {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d198820aba55660b4d74f7b5fd1f17db3aa5eb3e6893b0a41b75e84e4f9e0e4b"},
{file = "cryptography-40.0.2-cp36-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:adc0d980fd2760c9e5de537c28935cc32b9353baaf28e0814df417619c6c8c3b"}, {file = "cryptography-41.0.1-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:948224d76c4b6457349d47c0c98657557f429b4e93057cf5a2f71d603e2fc3a3"},
{file = "cryptography-40.0.2-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:d5a1bd0e9e2031465761dfa920c16b0065ad77321d8a8c1f5ee331021fda65e9"}, {file = "cryptography-41.0.1-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:059e348f9a3c1950937e1b5d7ba1f8e968508ab181e75fc32b879452f08356db"},
{file = "cryptography-40.0.2-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:a95f4802d49faa6a674242e25bfeea6fc2acd915b5e5e29ac90a32b1139cae1c"}, {file = "cryptography-41.0.1-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:b4ceb5324b998ce2003bc17d519080b4ec8d5b7b70794cbd2836101406a9be31"},
{file = "cryptography-40.0.2-cp36-abi3-win32.whl", hash = "sha256:aecbb1592b0188e030cb01f82d12556cf72e218280f621deed7d806afd2113f9"}, {file = "cryptography-41.0.1-cp37-abi3-win32.whl", hash = "sha256:8f4ab7021127a9b4323537300a2acfb450124b2def3756f64dc3a3d2160ee4b5"},
{file = "cryptography-40.0.2-cp36-abi3-win_amd64.whl", hash = "sha256:b12794f01d4cacfbd3177b9042198f3af1c856eedd0a98f10f141385c809a14b"}, {file = "cryptography-41.0.1-cp37-abi3-win_amd64.whl", hash = "sha256:1fee5aacc7367487b4e22484d3c7e547992ed726d14864ee33c0176ae43b0d7c"},
{file = "cryptography-40.0.2-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:142bae539ef28a1c76794cca7f49729e7c54423f615cfd9b0b1fa90ebe53244b"}, {file = "cryptography-41.0.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:9a6c7a3c87d595608a39980ebaa04d5a37f94024c9f24eb7d10262b92f739ddb"},
{file = "cryptography-40.0.2-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:956ba8701b4ffe91ba59665ed170a2ebbdc6fc0e40de5f6059195d9f2b33ca0e"}, {file = "cryptography-41.0.1-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5d092fdfedaec4cbbffbf98cddc915ba145313a6fdaab83c6e67f4e6c218e6f3"},
{file = "cryptography-40.0.2-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4f01c9863da784558165f5d4d916093737a75203a5c5286fde60e503e4276c7a"}, {file = "cryptography-41.0.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1a8e6c2de6fbbcc5e14fd27fb24414507cb3333198ea9ab1258d916f00bc3039"},
{file = "cryptography-40.0.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:3daf9b114213f8ba460b829a02896789751626a2a4e7a43a28ee77c04b5e4958"}, {file = "cryptography-41.0.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cb33ccf15e89f7ed89b235cff9d49e2e62c6c981a6061c9c8bb47ed7951190bc"},
{file = "cryptography-40.0.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:48f388d0d153350f378c7f7b41497a54ff1513c816bcbbcafe5b829e59b9ce5b"}, {file = "cryptography-41.0.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5f0ff6e18d13a3de56f609dd1fd11470918f770c6bd5d00d632076c727d35485"},
{file = "cryptography-40.0.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c0764e72b36a3dc065c155e5b22f93df465da9c39af65516fe04ed3c68c92636"}, {file = "cryptography-41.0.1-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:7bfc55a5eae8b86a287747053140ba221afc65eb06207bedf6e019b8934b477c"},
{file = "cryptography-40.0.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:cbaba590180cba88cb99a5f76f90808a624f18b169b90a4abb40c1fd8c19420e"}, {file = "cryptography-41.0.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:eb8163f5e549a22888c18b0d53d6bb62a20510060a22fd5a995ec8a05268df8a"},
{file = "cryptography-40.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7a38250f433cd41df7fcb763caa3ee9362777fdb4dc642b9a349721d2bf47404"}, {file = "cryptography-41.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:8dde71c4169ec5ccc1087bb7521d54251c016f126f922ab2dfe6649170a3b8c5"},
{file = "cryptography-40.0.2.tar.gz", hash = "sha256:c33c0d32b8594fa647d2e01dbccc303478e16fdd7cf98652d5b3ed11aa5e5c99"}, {file = "cryptography-41.0.1.tar.gz", hash = "sha256:d34579085401d3f49762d2f7d6634d6b6c2ae1242202e860f4d26b046e3a1006"},
] ]
[package.dependencies] [package.dependencies]
@ -895,23 +916,23 @@ cffi = ">=1.12"
[package.extras] [package.extras]
docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"] docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"] docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
pep8test = ["black", "check-manifest", "mypy", "ruff"] nox = ["nox"]
sdist = ["setuptools-rust (>=0.11.4)"] pep8test = ["black", "check-sdist", "mypy", "ruff"]
sdist = ["build"]
ssh = ["bcrypt (>=3.1.5)"] ssh = ["bcrypt (>=3.1.5)"]
test = ["iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-shard (>=0.1.2)", "pytest-subtests", "pytest-xdist"] test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
test-randomorder = ["pytest-randomly"] test-randomorder = ["pytest-randomly"]
tox = ["tox"]
[[package]] [[package]]
name = "ctransformers" name = "ctransformers"
version = "0.2.2" version = "0.2.5"
description = "Python bindings for the Transformer models implemented in C/C++ using GGML library." description = "Python bindings for the Transformer models implemented in C/C++ using GGML library."
category = "main" category = "main"
optional = false optional = false
python-versions = "*" python-versions = "*"
files = [ files = [
{file = "ctransformers-0.2.2-py3-none-any.whl", hash = "sha256:bf682dd0293dd87911c9a9a1169a4873ff55baebc16d465c6029c77f11b18cf6"}, {file = "ctransformers-0.2.5-py3-none-any.whl", hash = "sha256:5e0ee7d2be2cb1d627a702acdbf1f4f3c9c97d706e9d7f59a13079c1836a1432"},
{file = "ctransformers-0.2.2.tar.gz", hash = "sha256:1fc36b3fde36d9fd3cb69e48993315bb1f5f54ae552720eb909dc4b3a131c743"}, {file = "ctransformers-0.2.5.tar.gz", hash = "sha256:b813f19d5c2249b75422ae3188b1c834aeb8a095800df32328559a740acdb404"},
] ]
[package.dependencies] [package.dependencies]
@ -1044,14 +1065,14 @@ weaviate = ["weaviate-client (>=3.9.0,<3.10.0)"]
[[package]] [[package]]
name = "docker" name = "docker"
version = "6.1.2" version = "6.1.3"
description = "A Python library for the Docker Engine API." description = "A Python library for the Docker Engine API."
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "docker-6.1.2-py3-none-any.whl", hash = "sha256:134cd828f84543cbf8e594ff81ca90c38288df3c0a559794c12f2e4b634ea19e"}, {file = "docker-6.1.3-py3-none-any.whl", hash = "sha256:aecd2277b8bf8e506e484f6ab7aec39abe0038e29fa4a6d3ba86c3fe01844ed9"},
{file = "docker-6.1.2.tar.gz", hash = "sha256:dcc088adc2ec4e7cfc594e275d8bd2c9738c56c808de97476939ef67db5af8c2"}, {file = "docker-6.1.3.tar.gz", hash = "sha256:aa6d17830045ba5ef0168d5eaa34d37beeb113948c413affe1d5991fc11f9a20"},
] ]
[package.dependencies] [package.dependencies]
@ -1096,9 +1117,7 @@ files = [
{file = "duckdb-0.8.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b2707096d6df4321044fcde2c9f04da632d11a8be60957fd09d49a42fae71a29"}, {file = "duckdb-0.8.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b2707096d6df4321044fcde2c9f04da632d11a8be60957fd09d49a42fae71a29"},
{file = "duckdb-0.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b27df1b70ae74d2c88efb5ffca8490954fdc678099509a9c4404ca30acc53426"}, {file = "duckdb-0.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b27df1b70ae74d2c88efb5ffca8490954fdc678099509a9c4404ca30acc53426"},
{file = "duckdb-0.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:75a97c800271b52dd0f37696d074c50576dcb4b2750b6115932a98696a268070"}, {file = "duckdb-0.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:75a97c800271b52dd0f37696d074c50576dcb4b2750b6115932a98696a268070"},
{file = "duckdb-0.8.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:804cac261a5e016506a6d67838a65d19b06a237f7949f1704f0e800eb708286a"},
{file = "duckdb-0.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c6b9abca7fa6713e1d031c18485343b4de99742c7e1b85c10718aa2f31a4e2c6"}, {file = "duckdb-0.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c6b9abca7fa6713e1d031c18485343b4de99742c7e1b85c10718aa2f31a4e2c6"},
{file = "duckdb-0.8.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:51aa6d606d49072abcfeb3be209eb559ac94c1b5e70f58ac3adbb94aca9cd69f"},
{file = "duckdb-0.8.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7c8dc769aaf2be0a1c57995ca657e5b92c1c56fc8437edb720ca6cab571adf14"}, {file = "duckdb-0.8.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7c8dc769aaf2be0a1c57995ca657e5b92c1c56fc8437edb720ca6cab571adf14"},
{file = "duckdb-0.8.0-cp311-cp311-win32.whl", hash = "sha256:c4207d18b42387c4a035846d8878eb967070198be8ac26fd77797ce320d1a400"}, {file = "duckdb-0.8.0-cp311-cp311-win32.whl", hash = "sha256:c4207d18b42387c4a035846d8878eb967070198be8ac26fd77797ce320d1a400"},
{file = "duckdb-0.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:0c392257547c20794c3072fcbca99a49ef0a49974005d755e93893e2b4875267"}, {file = "duckdb-0.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:0c392257547c20794c3072fcbca99a49ef0a49974005d755e93893e2b4875267"},
@ -1194,6 +1213,41 @@ files = [
[package.extras] [package.extras]
tests = ["asttokens", "littleutils", "pytest", "rich"] tests = ["asttokens", "littleutils", "pytest", "rich"]
[[package]]
name = "faiss-cpu"
version = "1.7.4"
description = "A library for efficient similarity search and clustering of dense vectors."
category = "main"
optional = false
python-versions = "*"
files = [
{file = "faiss-cpu-1.7.4.tar.gz", hash = "sha256:265dc31b0c079bf4433303bf6010f73922490adff9188b915e2d3f5e9c82dd0a"},
{file = "faiss_cpu-1.7.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:50d4ebe7f1869483751c558558504f818980292a9b55be36f9a1ee1009d9a686"},
{file = "faiss_cpu-1.7.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7b1db7fae7bd8312aeedd0c41536bcd19a6e297229e1dce526bde3a73ab8c0b5"},
{file = "faiss_cpu-1.7.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17b7fa7194a228a84929d9e6619d0e7dbf00cc0f717e3462253766f5e3d07de8"},
{file = "faiss_cpu-1.7.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dca531952a2e3eac56f479ff22951af4715ee44788a3fe991d208d766d3f95f3"},
{file = "faiss_cpu-1.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:7173081d605e74766f950f2e3d6568a6f00c53f32fd9318063e96728c6c62821"},
{file = "faiss_cpu-1.7.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d0bbd6f55d7940cc0692f79e32a58c66106c3c950cee2341b05722de9da23ea3"},
{file = "faiss_cpu-1.7.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e13c14280376100f143767d0efe47dcb32618f69e62bbd3ea5cd38c2e1755926"},
{file = "faiss_cpu-1.7.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c521cb8462f3b00c0c7dfb11caff492bb67816528b947be28a3b76373952c41d"},
{file = "faiss_cpu-1.7.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:afdd9fe1141117fed85961fd36ee627c83fc3b9fd47bafb52d3c849cc2f088b7"},
{file = "faiss_cpu-1.7.4-cp311-cp311-win_amd64.whl", hash = "sha256:2ff7f57889ea31d945e3b87275be3cad5d55b6261a4e3f51c7aba304d76b81fb"},
{file = "faiss_cpu-1.7.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:eeaf92f27d76249fb53c1adafe617b0f217ab65837acf7b4ec818511caf6e3d8"},
{file = "faiss_cpu-1.7.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:102b1bd763e9b0c281ac312590af3eaf1c8b663ccbc1145821fe6a9f92b8eaaf"},
{file = "faiss_cpu-1.7.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5512da6707c967310c46ff712b00418b7ae28e93cb609726136e826e9f2f14fa"},
{file = "faiss_cpu-1.7.4-cp37-cp37m-win_amd64.whl", hash = "sha256:0c2e5b9d8c28c99f990e87379d5bbcc6c914da91ebb4250166864fd12db5755b"},
{file = "faiss_cpu-1.7.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:43f67f325393145d360171cd98786fcea6120ce50397319afd3bb78be409fb8a"},
{file = "faiss_cpu-1.7.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6a4e4af194b8fce74c4b770cad67ad1dd1b4673677fc169723e4c50ba5bd97a8"},
{file = "faiss_cpu-1.7.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:31bfb7b9cffc36897ae02a983e04c09fe3b8c053110a287134751a115334a1df"},
{file = "faiss_cpu-1.7.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52d7de96abef2340c0d373c1f5cbc78026a3cebb0f8f3a5920920a00210ead1f"},
{file = "faiss_cpu-1.7.4-cp38-cp38-win_amd64.whl", hash = "sha256:699feef85b23c2c729d794e26ca69bebc0bee920d676028c06fd0e0becc15c7e"},
{file = "faiss_cpu-1.7.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:559a0133f5ed44422acb09ee1ac0acffd90c6666d1bc0d671c18f6e93ad603e2"},
{file = "faiss_cpu-1.7.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ea1d71539fe3dc0f1bed41ef954ca701678776f231046bf0ca22ccea5cf5bef6"},
{file = "faiss_cpu-1.7.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:12d45e0157024eb3249842163162983a1ac8b458f1a8b17bbf86f01be4585a99"},
{file = "faiss_cpu-1.7.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f0eab359e066d32c874f51a7d4bf6440edeec068b7fe47e6d803c73605a8b4c"},
{file = "faiss_cpu-1.7.4-cp39-cp39-win_amd64.whl", hash = "sha256:98459ceeeb735b9df1a5b94572106ffe0a6ce740eb7e4626715dd218657bb4dc"},
]
[[package]] [[package]]
name = "fake-useragent" name = "fake-useragent"
version = "1.1.3" version = "1.1.3"
@ -1211,14 +1265,14 @@ importlib-resources = {version = ">=5.0", markers = "python_version < \"3.10\""}
[[package]] [[package]]
name = "fastapi" name = "fastapi"
version = "0.95.2" version = "0.96.0"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "fastapi-0.95.2-py3-none-any.whl", hash = "sha256:d374dbc4ef2ad9b803899bd3360d34c534adc574546e25314ab72c0c4411749f"}, {file = "fastapi-0.96.0-py3-none-any.whl", hash = "sha256:b8e11fe81e81eab4e1504209917338e0b80f783878a42c2b99467e5e1019a1e9"},
{file = "fastapi-0.95.2.tar.gz", hash = "sha256:4d9d3e8c71c73f11874bcf5e33626258d143252e329a01002f767306c64fb982"}, {file = "fastapi-0.96.0.tar.gz", hash = "sha256:71232d47c2787446991c81c41c249f8a16238d52d779c0e6b43927d3773dbe3c"},
] ]
[package.dependencies] [package.dependencies]
@ -1387,14 +1441,14 @@ uritemplate = ">=3.0.1,<5"
[[package]] [[package]]
name = "google-auth" name = "google-auth"
version = "2.19.0" version = "2.19.1"
description = "Google Authentication Library" description = "Google Authentication Library"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.6" python-versions = ">=3.6"
files = [ files = [
{file = "google-auth-2.19.0.tar.gz", hash = "sha256:f39d528077ac540793dd3c22a8706178f157642a67d874db25c640b7fead277e"}, {file = "google-auth-2.19.1.tar.gz", hash = "sha256:a9cfa88b3e16196845e64a3658eb953992129d13ac7337b064c6546f77c17183"},
{file = "google_auth-2.19.0-py2.py3-none-any.whl", hash = "sha256:be617bfaf77774008e9d177573f782e109188c8a64ae6e744285df5cea3e7df6"}, {file = "google_auth-2.19.1-py2.py3-none-any.whl", hash = "sha256:ea165e014c7cbd496558796b627c271aa8c18b4cba79dc1cc962b24c5efdfb85"},
] ]
[package.dependencies] [package.dependencies]
@ -2037,14 +2091,14 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
[[package]] [[package]]
name = "ipython" name = "ipython"
version = "8.13.2" version = "8.14.0"
description = "IPython: Productive Interactive Computing" description = "IPython: Productive Interactive Computing"
category = "dev" category = "dev"
optional = false optional = false
python-versions = ">=3.9" python-versions = ">=3.9"
files = [ files = [
{file = "ipython-8.13.2-py3-none-any.whl", hash = "sha256:ffca270240fbd21b06b2974e14a86494d6d29290184e788275f55e0b55914926"}, {file = "ipython-8.14.0-py3-none-any.whl", hash = "sha256:248aca623f5c99a6635bc3857677b7320b9b8039f99f070ee0d20a5ca5a8e6bf"},
{file = "ipython-8.13.2.tar.gz", hash = "sha256:7dff3fad32b97f6488e02f87b970f309d082f758d7b7fc252e3b19ee0e432dbb"}, {file = "ipython-8.14.0.tar.gz", hash = "sha256:1d197b907b6ba441b692c48cf2a3a2de280dc0ac91a3405b39349a50272ca0a1"},
] ]
[package.dependencies] [package.dependencies]
@ -2376,13 +2430,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]] [[package]]
name = "langchain-serve" name = "langchain-serve"
version = "0.0.40" version = "0.0.41"
description = "Langchain Serve - serve your langchain apps on Jina AI Cloud." description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
category = "main" category = "main"
optional = true optional = true
python-versions = "*" python-versions = "*"
files = [ files = [
{file = "langchain-serve-0.0.40.tar.gz", hash = "sha256:c60b173fcf0b682fbb70d34e8f485ce168e2229f55cb5c4ffbc26a5206af1c06"}, {file = "langchain-serve-0.0.41.tar.gz", hash = "sha256:fcf0d3ac9e48b5b24825ae2e1d8a383795c5744b18ef61cb74a99020a9e5d46a"},
] ]
[package.dependencies] [package.dependencies]
@ -4679,14 +4733,14 @@ idna2008 = ["idna"]
[[package]] [[package]]
name = "rich" name = "rich"
version = "13.3.5" version = "13.4.1"
description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.7.0" python-versions = ">=3.7.0"
files = [ files = [
{file = "rich-13.3.5-py3-none-any.whl", hash = "sha256:69cdf53799e63f38b95b9bf9c875f8c90e78dd62b2f00c13a911c7a3b9fa4704"}, {file = "rich-13.4.1-py3-none-any.whl", hash = "sha256:d204aadb50b936bf6b1a695385429d192bc1fdaf3e8b907e8e26f4c4e4b5bf75"},
{file = "rich-13.3.5.tar.gz", hash = "sha256:2d11b9b8dd03868f09b4fffadc84a6a8cda574e40dc90821bd845720ebb8e89c"}, {file = "rich-13.4.1.tar.gz", hash = "sha256:76f6b65ea7e5c5d924ba80e322231d7cb5b5981aa60bfc1e694f1bc097fe6fe1"},
] ]
[package.dependencies] [package.dependencies]
@ -5100,14 +5154,14 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
[[package]] [[package]]
name = "textual" name = "textual"
version = "0.26.0" version = "0.27.0"
description = "Modern Text User Interface framework" description = "Modern Text User Interface framework"
category = "main" category = "main"
optional = true optional = true
python-versions = ">=3.7,<4.0" python-versions = ">=3.7,<4.0"
files = [ files = [
{file = "textual-0.26.0-py3-none-any.whl", hash = "sha256:1efd04e9f61b3e95fd1c65436d3262f99e3f86cdeb524d13045bb551eb615c02"}, {file = "textual-0.27.0-py3-none-any.whl", hash = "sha256:dc45eaf7da330686c56d6f76f59d05fd216ce6aad90fa44ee269881efc622151"},
{file = "textual-0.26.0.tar.gz", hash = "sha256:78094c83017d2836b726513abdf434cc034a0e68cc45e63b3b056c9b8b7fa673"}, {file = "textual-0.27.0.tar.gz", hash = "sha256:8bdcb09dc35a706ef939b1276ccfdec10eaaee6147b41cb7587cf33298a8dd33"},
] ]
[package.dependencies] [package.dependencies]
@ -6180,4 +6234,4 @@ deploy = ["langchain-serve"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9,<3.12" python-versions = ">=3.9,<3.12"
content-hash = "2bf357ad30f79c68751b34c991b4a73767ceb628657f4133228d4eb487d8a6fb" content-hash = "4cac7dea0c1222711ba7eed82d5716d5e361d454edb6e0299b387fbb115d2c3d"

6
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "langflow" name = "langflow"
version = "0.0.79" version = "0.0.80"
description = "A Python package with a built-in web application" description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"] authors = ["Logspace <contact@logspace.ai>"]
maintainers = [ maintainers = [
@ -22,7 +22,7 @@ langflow = "langflow.__main__:main"
[tool.poetry.dependencies] [tool.poetry.dependencies]
python = ">=3.9,<3.12" python = ">=3.9,<3.12"
fastapi = "^0.95.0" fastapi = "^0.96.0"
uvicorn = "^0.20.0" uvicorn = "^0.20.0"
beautifulsoup4 = "^4.11.2" beautifulsoup4 = "^4.11.2"
google-search-results = "^2.4.1" google-search-results = "^2.4.1"
@ -57,6 +57,8 @@ jina = "3.15.2"
sentence-transformers = "^2.2.2" sentence-transformers = "^2.2.2"
ctransformers = "^0.2.2" ctransformers = "^0.2.2"
cohere = "^4.6.0" cohere = "^4.6.0"
faiss-cpu = "^1.7.4"
anthropic = "^0.2.9"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]

4
src/backend/langflow/api/validate.py
View file

@ -9,7 +9,7 @@ from langflow.api.base import (
PromptValidationResponse, PromptValidationResponse,
validate_prompt, validate_prompt,
) )
from langflow.graph.node.types import VectorStoreNode from langflow.graph.vertex.types import VectorStoreVertex
from langflow.interface.run import build_graph from langflow.interface.run import build_graph
from langflow.utils.logger import logger from langflow.utils.logger import logger
from langflow.utils.validate import validate_code from langflow.utils.validate import validate_code
@ -49,7 +49,7 @@ def post_validate_node(node_id: str, data: dict):
node = graph.get_node(node_id) node = graph.get_node(node_id)
if node is None: if node is None:
raise ValueError(f"Node {node_id} not found") raise ValueError(f"Node {node_id} not found")
if not isinstance(node, VectorStoreNode): if not isinstance(node, VectorStoreVertex):
node.build() node.build()
return json.dumps({"valid": True, "params": str(node._built_object_repr())}) return json.dumps({"valid": True, "params": str(node._built_object_repr())})
except Exception as e: except Exception as e:

5
src/backend/langflow/config.yaml
View file

@ -55,6 +55,8 @@ llms:
- LlamaCpp - LlamaCpp
- CTransformers - CTransformers
- Cohere - Cohere
- Anthropic
- ChatAnthropic
memories: memories:
- ConversationBufferMemory - ConversationBufferMemory
- ConversationSummaryMemory - ConversationSummaryMemory
@ -79,7 +81,7 @@ tools:
- Calculator - Calculator
- Serper Search - Serper Search
- Tool - Tool
- PythonFunction - PythonFunctionTool
- JsonSpec - JsonSpec
- News API - News API
- TMDB API - TMDB API
@ -118,6 +120,7 @@ vectorstores:
- Chroma - Chroma
- Qdrant - Qdrant
- Weaviate - Weaviate
- FAISS
wrappers: wrappers:
- RequestsWrapper - RequestsWrapper
# - ChatPromptTemplate # - ChatPromptTemplate

2
src/backend/langflow/custom/customs.py
View file

@ -4,7 +4,7 @@ from langflow.template import frontend_node
CUSTOM_NODES = { CUSTOM_NODES = {
"prompts": {"ZeroShotPrompt": frontend_node.prompts.ZeroShotPromptNode()}, "prompts": {"ZeroShotPrompt": frontend_node.prompts.ZeroShotPromptNode()},
"tools": { "tools": {
"PythonFunction": frontend_node.tools.PythonFunctionNode(), "PythonFunctionTool": frontend_node.tools.PythonFunctionToolNode(),
"Tool": frontend_node.tools.ToolNode(), "Tool": frontend_node.tools.ToolNode(),
}, },
"agents": { "agents": {

54
src/backend/langflow/graph/__init__.py
View file

@ -1,35 +1,35 @@
from langflow.graph.edge.base import Edge from langflow.graph.edge.base import Edge
from langflow.graph.graph.base import Graph from langflow.graph.graph.base import Graph
from langflow.graph.node.base import Node from langflow.graph.vertex.base import Vertex
from langflow.graph.node.types import ( from langflow.graph.vertex.types import (
AgentNode, AgentVertex,
ChainNode, ChainVertex,
DocumentLoaderNode, DocumentLoaderVertex,
EmbeddingNode, EmbeddingVertex,
LLMNode, LLMVertex,
MemoryNode, MemoryVertex,
PromptNode, PromptVertex,
TextSplitterNode, TextSplitterVertex,
ToolNode, ToolVertex,
ToolkitNode, ToolkitVertex,
VectorStoreNode, VectorStoreVertex,
WrapperNode, WrapperVertex,
) )
__all__ = [ __all__ = [
"Graph", "Graph",
"Node", "Vertex",
"Edge", "Edge",
"AgentNode", "AgentVertex",
"ChainNode", "ChainVertex",
"DocumentLoaderNode", "DocumentLoaderVertex",
"EmbeddingNode", "EmbeddingVertex",
"LLMNode", "LLMVertex",
"MemoryNode", "MemoryVertex",
"PromptNode", "PromptVertex",
"TextSplitterNode", "TextSplitterVertex",
"ToolNode", "ToolVertex",
"ToolkitNode", "ToolkitVertex",
"VectorStoreNode", "VectorStoreVertex",
"WrapperNode", "WrapperVertex",
] ]

10
src/backend/langflow/graph/edge/base.py
View file

@ -2,13 +2,13 @@ from langflow.utils.logger import logger
from typing import TYPE_CHECKING from typing import TYPE_CHECKING
if TYPE_CHECKING: if TYPE_CHECKING:
from langflow.graph.node.base import Node from langflow.graph.vertex.base import Vertex
class Edge: class Edge:
def __init__(self, source: "Node", target: "Node"): def __init__(self, source: "Vertex", target: "Vertex"):
self.source: "Node" = source self.source: "Vertex" = source
self.target: "Node" = target self.target: "Vertex" = target
self.validate_edge() self.validate_edge()
def validate_edge(self) -> None: def validate_edge(self) -> None:
@ -41,7 +41,7 @@ class Edge:
logger.debug(self.target_reqs) logger.debug(self.target_reqs)
if no_matched_type: if no_matched_type:
raise ValueError( raise ValueError(
f"Edge between {self.source.node_type} and {self.target.node_type} " f"Edge between {self.source.vertex_type} and {self.target.vertex_type} "
f"has no matched type" f"has no matched type"
) )

56
src/backend/langflow/graph/graph/base.py
View file

@ -1,12 +1,12 @@
from typing import Dict, List, Type, Union from typing import Dict, List, Type, Union
from langflow.graph.edge.base import Edge from langflow.graph.edge.base import Edge
from langflow.graph.graph.constants import NODE_TYPE_MAP from langflow.graph.graph.constants import VERTEX_TYPE_MAP
from langflow.graph.node.base import Node from langflow.graph.vertex.base import Vertex
from langflow.graph.node.types import ( from langflow.graph.vertex.types import (
FileToolNode, FileToolVertex,
LLMNode, LLMVertex,
ToolkitNode, ToolkitVertex,
) )
from langflow.interface.tools.constants import FILE_TOOLS from langflow.interface.tools.constants import FILE_TOOLS
from langflow.utils import payload from langflow.utils import payload
@ -26,7 +26,7 @@ class Graph:
def _build_graph(self) -> None: def _build_graph(self) -> None:
"""Builds the graph from the nodes and edges.""" """Builds the graph from the nodes and edges."""
self.nodes = self._build_nodes() self.nodes = self._build_vertices()
self.edges = self._build_edges() self.edges = self._build_edges()
for edge in self.edges: for edge in self.edges:
edge.source.add_edge(edge) edge.source.add_edge(edge)
@ -43,12 +43,12 @@ class Graph:
llm_node = None llm_node = None
for node in self.nodes: for node in self.nodes:
node._build_params() node._build_params()
if isinstance(node, LLMNode): if isinstance(node, LLMVertex):
llm_node = node llm_node = node
if llm_node: if llm_node:
for node in self.nodes: for node in self.nodes:
if isinstance(node, ToolkitNode): if isinstance(node, ToolkitVertex):
node.params["llm"] = llm_node node.params["llm"] = llm_node
def _remove_invalid_nodes(self) -> None: def _remove_invalid_nodes(self) -> None:
@ -60,23 +60,23 @@ class Graph:
or (len(self.nodes) == 1 and len(self.edges) == 0) or (len(self.nodes) == 1 and len(self.edges) == 0)
] ]
def _validate_node(self, node: Node) -> bool: def _validate_node(self, node: Vertex) -> bool:
"""Validates a node.""" """Validates a node."""
# All nodes that do not have edges are invalid # All nodes that do not have edges are invalid
return len(node.edges) > 0 return len(node.edges) > 0
def get_node(self, node_id: str) -> Union[None, Node]: def get_node(self, node_id: str) -> Union[None, Vertex]:
"""Returns a node by id.""" """Returns a node by id."""
return next((node for node in self.nodes if node.id == node_id), None) return next((node for node in self.nodes if node.id == node_id), None)
def get_nodes_with_target(self, node: Node) -> List[Node]: def get_nodes_with_target(self, node: Vertex) -> List[Vertex]:
"""Returns the nodes connected to a node.""" """Returns the nodes connected to a node."""
connected_nodes: List[Node] = [ connected_nodes: List[Vertex] = [
edge.source for edge in self.edges if edge.target == node edge.source for edge in self.edges if edge.target == node
] ]
return connected_nodes return connected_nodes
def build(self) -> List[Node]: def build(self) -> List[Vertex]:
"""Builds the graph.""" """Builds the graph."""
# Get root node # Get root node
root_node = payload.get_root_node(self) root_node = payload.get_root_node(self)
@ -84,9 +84,9 @@ class Graph:
raise ValueError("No root node found") raise ValueError("No root node found")
return root_node.build() return root_node.build()
def get_node_neighbors(self, node: Node) -> Dict[Node, int]: def get_node_neighbors(self, node: Vertex) -> Dict[Vertex, int]:
"""Returns the neighbors of a node.""" """Returns the neighbors of a node."""
neighbors: Dict[Node, int] = {} neighbors: Dict[Vertex, int] = {}
for edge in self.edges: for edge in self.edges:
if edge.source == node: if edge.source == node:
neighbor = edge.target neighbor = edge.target
@ -117,28 +117,30 @@ class Graph:
edges.append(Edge(source, target)) edges.append(Edge(source, target))
return edges return edges
def _get_node_class(self, node_type: str, node_lc_type: str) -> Type[Node]: def _get_vertex_class(self, node_type: str, node_lc_type: str) -> Type[Vertex]:
"""Returns the node class based on the node type.""" """Returns the node class based on the node type."""
if node_type in FILE_TOOLS: if node_type in FILE_TOOLS:
return FileToolNode return FileToolVertex
if node_type in NODE_TYPE_MAP: if node_type in VERTEX_TYPE_MAP:
return NODE_TYPE_MAP[node_type] return VERTEX_TYPE_MAP[node_type]
return NODE_TYPE_MAP[node_lc_type] if node_lc_type in NODE_TYPE_MAP else Node return (
VERTEX_TYPE_MAP[node_lc_type] if node_lc_type in VERTEX_TYPE_MAP else Vertex
)
def _build_nodes(self) -> List[Node]: def _build_vertices(self) -> List[Vertex]:
"""Builds the nodes of the graph.""" """Builds the vertices of the graph."""
nodes: List[Node] = [] nodes: List[Vertex] = []
for node in self._nodes: for node in self._nodes:
node_data = node["data"] node_data = node["data"]
node_type: str = node_data["type"] # type: ignore node_type: str = node_data["type"] # type: ignore
node_lc_type: str = node_data["node"]["template"]["_type"] # type: ignore node_lc_type: str = node_data["node"]["template"]["_type"] # type: ignore
NodeClass = self._get_node_class(node_type, node_lc_type) VertexClass = self._get_vertex_class(node_type, node_lc_type)
nodes.append(NodeClass(node)) nodes.append(VertexClass(node))
return nodes return nodes
def get_children_by_node_type(self, node: Node, node_type: str) -> List[Node]: def get_children_by_node_type(self, node: Vertex, node_type: str) -> List[Vertex]:
"""Returns the children of a node based on the node type.""" """Returns the children of a node based on the node type."""
children = [] children = []
node_types = [node.data["type"]] node_types = [node.data["type"]]

54
src/backend/langflow/graph/graph/constants.py
View file

@ -1,17 +1,17 @@
from langflow.graph.node.base import Node from langflow.graph.vertex.base import Vertex
from langflow.graph.node.types import ( from langflow.graph.vertex.types import (
AgentNode, AgentVertex,
ChainNode, ChainVertex,
DocumentLoaderNode, DocumentLoaderVertex,
EmbeddingNode, EmbeddingVertex,
LLMNode, LLMVertex,
MemoryNode, MemoryVertex,
PromptNode, PromptVertex,
TextSplitterNode, TextSplitterVertex,
ToolNode, ToolVertex,
ToolkitNode, ToolkitVertex,
VectorStoreNode, VectorStoreVertex,
WrapperNode, WrapperVertex,
) )
from langflow.interface.agents.base import agent_creator from langflow.interface.agents.base import agent_creator
from langflow.interface.chains.base import chain_creator from langflow.interface.chains.base import chain_creator
@ -33,17 +33,17 @@ from typing import Dict, Type
DIRECT_TYPES = ["str", "bool", "code", "int", "float", "Any", "prompt"] DIRECT_TYPES = ["str", "bool", "code", "int", "float", "Any", "prompt"]
NODE_TYPE_MAP: Dict[str, Type[Node]] = { VERTEX_TYPE_MAP: Dict[str, Type[Vertex]] = {
**{t: PromptNode for t in prompt_creator.to_list()}, **{t: PromptVertex for t in prompt_creator.to_list()},
**{t: AgentNode for t in agent_creator.to_list()}, **{t: AgentVertex for t in agent_creator.to_list()},
**{t: ChainNode for t in chain_creator.to_list()}, **{t: ChainVertex for t in chain_creator.to_list()},
**{t: ToolNode for t in tool_creator.to_list()}, **{t: ToolVertex for t in tool_creator.to_list()},
**{t: ToolkitNode for t in toolkits_creator.to_list()}, **{t: ToolkitVertex for t in toolkits_creator.to_list()},
**{t: WrapperNode for t in wrapper_creator.to_list()}, **{t: WrapperVertex for t in wrapper_creator.to_list()},
**{t: LLMNode for t in llm_creator.to_list()}, **{t: LLMVertex for t in llm_creator.to_list()},
**{t: MemoryNode for t in memory_creator.to_list()}, **{t: MemoryVertex for t in memory_creator.to_list()},
**{t: EmbeddingNode for t in embedding_creator.to_list()}, **{t: EmbeddingVertex for t in embedding_creator.to_list()},
**{t: VectorStoreNode for t in vectorstore_creator.to_list()}, **{t: VectorStoreVertex for t in vectorstore_creator.to_list()},
**{t: DocumentLoaderNode for t in documentloader_creator.to_list()}, **{t: DocumentLoaderVertex for t in documentloader_creator.to_list()},
**{t: TextSplitterNode for t in textsplitter_creator.to_list()}, **{t: TextSplitterVertex for t in textsplitter_creator.to_list()},
} }

0
src/backend/langflow/graph/node/__init__.py → src/backend/langflow/graph/vertex/__init__.py
View file

26
src/backend/langflow/graph/node/base.py → src/backend/langflow/graph/vertex/base.py
View file

@ -1,5 +1,5 @@
from langflow.cache import base as cache_utils from langflow.cache import base as cache_utils
from langflow.graph.node.constants import DIRECT_TYPES from langflow.graph.vertex.constants import DIRECT_TYPES
from langflow.interface import loading from langflow.interface import loading
from langflow.interface.listing import ALL_TYPES_DICT from langflow.interface.listing import ALL_TYPES_DICT
from langflow.utils.logger import logger from langflow.utils.logger import logger
@ -17,7 +17,7 @@ if TYPE_CHECKING:
from langflow.graph.edge.base import Edge from langflow.graph.edge.base import Edge
class Node: class Vertex:
def __init__(self, data: Dict, base_type: Optional[str] = None) -> None: def __init__(self, data: Dict, base_type: Optional[str] = None) -> None:
self.id: str = data["id"] self.id: str = data["id"]
self._data = data self._data = data
@ -48,12 +48,12 @@ class Node:
] ]
template_dict = self.data["node"]["template"] template_dict = self.data["node"]["template"]
self.node_type = ( self.vertex_type = (
self.data["type"] if "Tool" not in self.output else template_dict["_type"] self.data["type"] if "Tool" not in self.output else template_dict["_type"]
) )
if self.base_type is None: if self.base_type is None:
for base_type, value in ALL_TYPES_DICT.items(): for base_type, value in ALL_TYPES_DICT.items():
if self.node_type in value: if self.vertex_type in value:
self.base_type = base_type self.base_type = base_type
break break
@ -113,7 +113,7 @@ class Node:
if value["required"] and not edges: if value["required"] and not edges:
# If a required parameter is not found, raise an error # If a required parameter is not found, raise an error
raise ValueError( raise ValueError(
f"Required input {key} for module {self.node_type} not found" f"Required input {key} for module {self.vertex_type} not found"
) )
elif value["list"]: elif value["list"]:
# If this is a list parameter, append all sources to a list # If this is a list parameter, append all sources to a list
@ -128,7 +128,7 @@ class Node:
# so we need to check if value has value # so we need to check if value has value
new_value = value.get("value") new_value = value.get("value")
if new_value is None: if new_value is None:
warnings.warn(f"Value for {key} in {self.node_type} is None. ") warnings.warn(f"Value for {key} in {self.vertex_type} is None. ")
if value.get("type") == "int": if value.get("type") == "int":
with contextlib.suppress(TypeError, ValueError): with contextlib.suppress(TypeError, ValueError):
new_value = int(new_value) # type: ignore new_value = int(new_value) # type: ignore
@ -148,12 +148,12 @@ class Node:
# and continue # and continue
# Another aspect is that the node_type is the class that we need to import # Another aspect is that the node_type is the class that we need to import
# and instantiate with these built params # and instantiate with these built params
logger.debug(f"Building {self.node_type}") logger.debug(f"Building {self.vertex_type}")
# Build each node in the params dict # Build each node in the params dict
for key, value in self.params.copy().items(): for key, value in self.params.copy().items():
# Check if Node or list of Nodes and not self # Check if Node or list of Nodes and not self
# to avoid recursion # to avoid recursion
if isinstance(value, Node): if isinstance(value, Vertex):
if value == self: if value == self:
del self.params[key] del self.params[key]
continue continue
@ -177,7 +177,7 @@ class Node:
self.params[key] = result self.params[key] = result
elif isinstance(value, list) and all( elif isinstance(value, list) and all(
isinstance(node, Node) for node in value isinstance(node, Vertex) for node in value
): ):
self.params[key] = [] self.params[key] = []
for node in value: for node in value:
@ -193,17 +193,17 @@ class Node:
try: try:
self._built_object = loading.instantiate_class( self._built_object = loading.instantiate_class(
node_type=self.node_type, node_type=self.vertex_type,
base_type=self.base_type, base_type=self.base_type,
params=self.params, params=self.params,
) )
except Exception as exc: except Exception as exc:
raise ValueError( raise ValueError(
f"Error building node {self.node_type}: {str(exc)}" f"Error building node {self.vertex_type}: {str(exc)}"
) from exc ) from exc
if self._built_object is None: if self._built_object is None:
raise ValueError(f"Node type {self.node_type} not found") raise ValueError(f"Node type {self.vertex_type} not found")
self._built = True self._built = True
@ -220,7 +220,7 @@ class Node:
return f"Node(id={self.id}, data={self.data})" return f"Node(id={self.id}, data={self.data})"
def __eq__(self, __o: object) -> bool: def __eq__(self, __o: object) -> bool:
return self.id == __o.id if isinstance(__o, Node) else False return self.id == __o.id if isinstance(__o, Vertex) else False
def __hash__(self) -> int: def __hash__(self) -> int:
return id(self) return id(self)

0
src/backend/langflow/graph/node/constants.py → src/backend/langflow/graph/vertex/constants.py
View file

65
src/backend/langflow/graph/node/types.py → src/backend/langflow/graph/vertex/types.py
View file

@ -1,22 +1,22 @@
from typing import Any, Dict, List, Optional, Union from typing import Any, Dict, List, Optional, Union
from langflow.graph.node.base import Node from langflow.graph.vertex.base import Vertex
from langflow.graph.utils import extract_input_variables_from_prompt from langflow.graph.utils import extract_input_variables_from_prompt
class AgentNode(Node): class AgentVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="agents") super().__init__(data, base_type="agents")
self.tools: List[ToolNode] = [] self.tools: List[ToolVertex] = []
self.chains: List[ChainNode] = [] self.chains: List[ChainVertex] = []
def _set_tools_and_chains(self) -> None: def _set_tools_and_chains(self) -> None:
for edge in self.edges: for edge in self.edges:
source_node = edge.source source_node = edge.source
if isinstance(source_node, ToolNode): if isinstance(source_node, ToolVertex):
self.tools.append(source_node) self.tools.append(source_node)
elif isinstance(source_node, ChainNode): elif isinstance(source_node, ChainVertex):
self.chains.append(source_node) self.chains.append(source_node)
def build(self, force: bool = False) -> Any: def build(self, force: bool = False) -> Any:
@ -33,24 +33,28 @@ class AgentNode(Node):
self._build() self._build()
#! Cannot deepcopy VectorStore, VectorStoreRouter, or SQL agents #! Cannot deepcopy VectorStore, VectorStoreRouter, or SQL agents
if self.node_type in ["VectorStoreAgent", "VectorStoreRouterAgent", "SQLAgent"]: if self.vertex_type in [
"VectorStoreAgent",
"VectorStoreRouterAgent",
"SQLAgent",
]:
return self._built_object return self._built_object
return self._built_object return self._built_object
class ToolNode(Node): class ToolVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="tools") super().__init__(data, base_type="tools")
class PromptNode(Node): class PromptVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="prompts") super().__init__(data, base_type="prompts")
def build( def build(
self, self,
force: bool = False, force: bool = False,
tools: Optional[Union[List[Node], List[ToolNode]]] = None, tools: Optional[Union[List[Vertex], List[ToolVertex]]] = None,
) -> Any: ) -> Any:
if not self._built or force: if not self._built or force:
if ( if (
@ -59,7 +63,7 @@ class PromptNode(Node):
): ):
self.params["input_variables"] = [] self.params["input_variables"] = []
# Check if it is a ZeroShotPrompt and needs a tool # Check if it is a ZeroShotPrompt and needs a tool
if "ShotPrompt" in self.node_type: if "ShotPrompt" in self.vertex_type:
tools = ( tools = (
[tool_node.build() for tool_node in tools] [tool_node.build() for tool_node in tools]
if tools is not None if tools is not None
@ -83,31 +87,31 @@ class PromptNode(Node):
return self._built_object return self._built_object
class ChainNode(Node): class ChainVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="chains") super().__init__(data, base_type="chains")
def build( def build(
self, self,
force: bool = False, force: bool = False,
tools: Optional[Union[List[Node], List[ToolNode]]] = None, tools: Optional[Union[List[Vertex], List[ToolVertex]]] = None,
) -> Any: ) -> Any:
if not self._built or force: if not self._built or force:
# Check if the chain requires a PromptNode # Check if the chain requires a PromptNode
for key, value in self.params.items(): for key, value in self.params.items():
if isinstance(value, PromptNode): if isinstance(value, PromptVertex):
# Build the PromptNode, passing the tools if available # Build the PromptNode, passing the tools if available
self.params[key] = value.build(tools=tools, force=force) self.params[key] = value.build(tools=tools, force=force)
self._build() self._build()
#! Cannot deepcopy SQLDatabaseChain #! Cannot deepcopy SQLDatabaseChain
if self.node_type in ["SQLDatabaseChain"]: if self.vertex_type in ["SQLDatabaseChain"]:
return self._built_object return self._built_object
return self._built_object return self._built_object
class LLMNode(Node): class LLMVertex(Vertex):
built_node_type = None built_node_type = None
class_built_object = None class_built_object = None
@ -117,28 +121,28 @@ class LLMNode(Node):
def build(self, force: bool = False) -> Any: def build(self, force: bool = False) -> Any:
# LLM is different because some models might take up too much memory # LLM is different because some models might take up too much memory
# or time to load. So we only load them when we need them.ß # or time to load. So we only load them when we need them.ß
if self.node_type == self.built_node_type: if self.vertex_type == self.built_node_type:
return self.class_built_object return self.class_built_object
if not self._built or force: if not self._built or force:
self._build() self._build()
self.built_node_type = self.node_type self.built_node_type = self.vertex_type
self.class_built_object = self._built_object self.class_built_object = self._built_object
# Avoid deepcopying the LLM # Avoid deepcopying the LLM
# that are loaded from a file # that are loaded from a file
return self._built_object return self._built_object
class ToolkitNode(Node): class ToolkitVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="toolkits") super().__init__(data, base_type="toolkits")
class FileToolNode(ToolNode): class FileToolVertex(ToolVertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data) super().__init__(data)
class WrapperNode(Node): class WrapperVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="wrappers") super().__init__(data, base_type="wrappers")
@ -150,7 +154,7 @@ class WrapperNode(Node):
return self._built_object return self._built_object
class DocumentLoaderNode(Node): class DocumentLoaderVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="documentloaders") super().__init__(data, base_type="documentloaders")
@ -158,17 +162,17 @@ class DocumentLoaderNode(Node):
# This built_object is a list of documents. Maybe we should # This built_object is a list of documents. Maybe we should
# show how many documents are in the list? # show how many documents are in the list?
if self._built_object: if self._built_object:
return f"""{self.node_type}({len(self._built_object)} documents) return f"""{self.vertex_type}({len(self._built_object)} documents)
Documents: {self._built_object[:3]}...""" Documents: {self._built_object[:3]}..."""
return f"{self.node_type}()" return f"{self.vertex_type}()"
class EmbeddingNode(Node): class EmbeddingVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="embeddings") super().__init__(data, base_type="embeddings")
class VectorStoreNode(Node): class VectorStoreVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="vectorstores") super().__init__(data, base_type="vectorstores")
@ -176,12 +180,12 @@ class VectorStoreNode(Node):
return "Vector stores can take time to build. It will build on the first query." return "Vector stores can take time to build. It will build on the first query."
class MemoryNode(Node): class MemoryVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="memory") super().__init__(data, base_type="memory")
class TextSplitterNode(Node): class TextSplitterVertex(Vertex):
def __init__(self, data: Dict): def __init__(self, data: Dict):
super().__init__(data, base_type="textsplitters") super().__init__(data, base_type="textsplitters")
@ -189,5 +193,6 @@ class TextSplitterNode(Node):
# This built_object is a list of documents. Maybe we should # This built_object is a list of documents. Maybe we should
# show how many documents are in the list? # show how many documents are in the list?
if self._built_object: if self._built_object:
return f"""{self.node_type}({len(self._built_object)} documents)\nDocuments: {self._built_object[:3]}...""" return f"""{self.vertex_type}({len(self._built_object)} documents)
return f"{self.node_type}()" \nDocuments: {self._built_object[:3]}..."""
return f"{self.vertex_type}()"

2
src/backend/langflow/interface/custom_lists.py
View file

@ -11,12 +11,14 @@ from langchain import (
text_splitter, text_splitter,
) )
from langchain.agents import agent_toolkits from langchain.agents import agent_toolkits
from langchain.chat_models import ChatAnthropic
from langchain.chat_models import ChatOpenAI from langchain.chat_models import ChatOpenAI
from langflow.interface.importing.utils import import_class from langflow.interface.importing.utils import import_class
## LLMs ## LLMs
llm_type_to_cls_dict = llms.type_to_cls_dict llm_type_to_cls_dict = llms.type_to_cls_dict
llm_type_to_cls_dict["anthropic-chat"] = ChatAnthropic # type: ignore
llm_type_to_cls_dict["openai-chat"] = ChatOpenAI # type: ignore llm_type_to_cls_dict["openai-chat"] = ChatOpenAI # type: ignore
## Chains ## Chains

8
src/backend/langflow/interface/importing/utils.py
View file

@ -9,6 +9,7 @@ from langchain.base_language import BaseLanguageModel
from langchain.chains.base import Chain from langchain.chains.base import Chain
from langchain.chat_models.base import BaseChatModel from langchain.chat_models.base import BaseChatModel
from langchain.tools import BaseTool from langchain.tools import BaseTool
from langflow.utils import validate
def import_module(module_path: str) -> Any: def import_module(module_path: str) -> Any:
@ -147,3 +148,10 @@ def import_utility(utility: str) -> Any:
if utility == "SQLDatabase": if utility == "SQLDatabase":
return import_class(f"langchain.sql_database.{utility}") return import_class(f"langchain.sql_database.{utility}")
return import_class(f"langchain.utilities.{utility}") return import_class(f"langchain.utilities.{utility}")
def get_function(code):
"""Get the function"""
function_name = validate.extract_function_name(code)
return validate.create_function(code, function_name)

12
src/backend/langflow/interface/loading.py
View file

@ -21,12 +21,12 @@ from langchain.llms.loading import load_llm_from_config
from pydantic import ValidationError from pydantic import ValidationError
from langflow.interface.agents.custom import CUSTOM_AGENTS from langflow.interface.agents.custom import CUSTOM_AGENTS
from langflow.interface.importing.utils import import_by_type from langflow.interface.importing.utils import get_function, import_by_type
from langflow.interface.run import fix_memory_inputs from langflow.interface.run import fix_memory_inputs
from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.toolkits.base import toolkits_creator
from langflow.interface.types import get_type_list from langflow.interface.types import get_type_list
from langflow.interface.utils import load_file_into_dict from langflow.interface.utils import load_file_into_dict
from langflow.utils import util, validate from langflow.utils import util
def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
@ -100,11 +100,9 @@ def instantiate_tool(node_type, class_object, params):
if node_type == "JsonSpec": if node_type == "JsonSpec":
params["dict_"] = load_file_into_dict(params.pop("path")) params["dict_"] = load_file_into_dict(params.pop("path"))
return class_object(**params) return class_object(**params)
elif node_type == "PythonFunction": elif node_type == "PythonFunctionTool":
function_string = params["code"] params["func"] = get_function(params.get("code"))
if isinstance(function_string, str): return class_object(**params)
return validate.eval_function(function_string)
raise ValueError("Function should be a string")
elif node_type.lower() == "tool": elif node_type.lower() == "tool":
return class_object(**params) return class_object(**params)
return class_object(**params) return class_object(**params)

3
src/backend/langflow/interface/tools/base.py
View file

@ -71,7 +71,8 @@ class ToolCreator(LangChainTypeCreator):
for tool, tool_fcn in ALL_TOOLS_NAMES.items(): for tool, tool_fcn in ALL_TOOLS_NAMES.items():
tool_params = get_tool_params(tool_fcn) tool_params = get_tool_params(tool_fcn)
tool_name = tool_params.get("name", tool)
tool_name = tool_params.get("name") or tool
if tool_name in settings.tools or settings.dev: if tool_name in settings.tools or settings.dev:
if tool_name == "JsonSpec": if tool_name == "JsonSpec":

4
src/backend/langflow/interface/tools/constants.py
View file

@ -9,10 +9,10 @@ from langchain.agents.load_tools import (
from langchain.tools.json.tool import JsonSpec from langchain.tools.json.tool import JsonSpec
from langflow.interface.importing.utils import import_class from langflow.interface.importing.utils import import_class
from langflow.interface.tools.custom import PythonFunction from langflow.interface.tools.custom import PythonFunctionTool
FILE_TOOLS = {"JsonSpec": JsonSpec} FILE_TOOLS = {"JsonSpec": JsonSpec}
CUSTOM_TOOLS = {"Tool": Tool, "PythonFunction": PythonFunction} CUSTOM_TOOLS = {"Tool": Tool, "PythonFunctionTool": PythonFunctionTool}
OTHER_TOOLS = {tool: import_class(f"langchain.tools.{tool}") for tool in tools.__all__} OTHER_TOOLS = {tool: import_class(f"langchain.tools.{tool}") for tool in tools.__all__}

22
src/backend/langflow/interface/tools/custom.py
View file

@ -1,13 +1,14 @@
from typing import Callable, Optional from typing import Optional
from langflow.interface.importing.utils import get_function
from pydantic import BaseModel, validator from pydantic import BaseModel, validator
from langflow.utils import validate from langflow.utils import validate
from langchain.agents.tools import Tool
class Function(BaseModel): class Function(BaseModel):
code: str code: str
function: Optional[Callable] = None
imports: Optional[str] = None imports: Optional[str] = None
# Eval code and store the function # Eval code and store the function
@ -24,14 +25,17 @@ class Function(BaseModel):
return v return v
def get_function(self):
"""Get the function"""
function_name = validate.extract_function_name(self.code)
return validate.create_function(self.code, function_name) class PythonFunctionTool(Function, Tool):
class PythonFunction(Function):
"""Python function""" """Python function"""
name: str = "Custom Tool"
description: str
code: str code: str
def ___init__(self, name: str, description: str, code: str):
self.name = name
self.description = description
self.code = code
self.func = get_function(self.code)
super().__init__(name=name, description=description, func=self.func)

3
src/backend/langflow/template/frontend_node/base.py
View file

@ -125,6 +125,9 @@ class FrontendNode(BaseModel):
elif name == "ChatOpenAI" and key == "model_name": elif name == "ChatOpenAI" and key == "model_name":
field.options = constants.CHAT_OPENAI_MODELS field.options = constants.CHAT_OPENAI_MODELS
field.is_list = True field.is_list = True
elif (name == "Anthropic" or name == "ChatAnthropic") and key == "model_name":
field.options = constants.ANTHROPIC_MODELS
field.is_list = True
if "api_key" in key and "OpenAI" in str(name): if "api_key" in key and "OpenAI" in str(name):
field.display_name = "OpenAI API Key" field.display_name = "OpenAI API Key"
field.required = False field.required = False

32
src/backend/langflow/template/frontend_node/tools.py
View file

@ -59,11 +59,33 @@ class ToolNode(FrontendNode):
return super().to_dict() return super().to_dict()
class PythonFunctionNode(FrontendNode): class PythonFunctionToolNode(FrontendNode):
name: str = "PythonFunction" name: str = "PythonFunctionTool"
template: Template = Template( template: Template = Template(
type_name="python_function", type_name="PythonFunctionTool",
fields=[ fields=[
TemplateField(
field_type="str",
required=True,
placeholder="",
is_list=False,
show=True,
multiline=False,
value="",
name="name",
advanced=False,
),
TemplateField(
field_type="str",
required=True,
placeholder="",
is_list=False,
show=True,
multiline=False,
value="",
name="description",
advanced=False,
),
TemplateField( TemplateField(
field_type="code", field_type="code",
required=True, required=True,
@ -73,11 +95,11 @@ class PythonFunctionNode(FrontendNode):
value=DEFAULT_PYTHON_FUNCTION, value=DEFAULT_PYTHON_FUNCTION,
name="code", name="code",
advanced=False, advanced=False,
) ),
], ],
) )
description: str = "Python function to be executed." description: str = "Python function to be executed."
base_classes: list[str] = ["function"] base_classes: list[str] = ["Tool"]
def to_dict(self): def to_dict(self):
return super().to_dict() return super().to_dict()

14
src/backend/langflow/utils/constants.py
View file

@ -7,6 +7,20 @@ OPENAI_MODELS = [
] ]
CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"] CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"]
ANTHROPIC_MODELS = [
"claude-v1", # largest model, ideal for a wide range of more complex tasks.
"claude-v1-100k", # An enhanced version of claude-v1 with a 100,000 token (roughly 75,000 word) context window.
"claude-instant-v1", # A smaller model with far lower latency, sampling at roughly 40 words/sec!
"claude-instant-v1-100k", # Like claude-instant-v1 with a 100,000 token context window but retains its performance.
# Specific sub-versions of the above models:
"claude-v1.3", # Vs claude-v1.2: better instruction-following, code, and non-English dialogue and writing.
"claude-v1.3-100k", # An enhanced version of claude-v1.3 with a 100,000 token (roughly 75,000 word) context window.
"claude-v1.2", # Vs claude-v1.1: small adv in general helpfulness, instruction following, coding, and other tasks.
"claude-v1.0", # An earlier version of claude-v1.
"claude-instant-v1.1", # Latest version of claude-instant-v1. Better than claude-instant-v1.0 at most tasks.
"claude-instant-v1.1-100k", # Version of claude-instant-v1.1 with a 100K token context window.
"claude-instant-v1.0", # An earlier version of claude-instant-v1.
]
DEFAULT_PYTHON_FUNCTION = """ DEFAULT_PYTHON_FUNCTION = """
def python_function(text: str) -> str: def python_function(text: str) -> str:

4
src/backend/langflow/utils/util.py
View file

@ -302,7 +302,9 @@ def format_dict(d, name: Optional[str] = None):
elif name == "ChatOpenAI" and key == "model_name": elif name == "ChatOpenAI" and key == "model_name":
value["options"] = constants.CHAT_OPENAI_MODELS value["options"] = constants.CHAT_OPENAI_MODELS
value["list"] = True value["list"] = True
elif (name == "Anthropic" or name == "ChatAnthropic") and key == "model_name":
value["options"] = constants.ANTHROPIC_MODELS
value["list"] = True
return d return d

9
src/frontend/src/icons/Anthropic/anthropic.svg Normal file
View file

@ -0,0 +1,9 @@
<?xml version="1.0" encoding="utf-8"?>
<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="-170.333 113.047 600 67.4" width="600" height="67.4">
<defs>
<style type="text/css">
.st0{fill:#1F1F1E;}
</style>
</defs>
<path class="st0" d="M -23.533 126.747 L -1.633 126.747 L -1.633 179.347 L 12.367 179.347 L 12.367 126.747 L 34.267 126.747 L 34.267 114.147 L -23.533 114.147 L -23.533 126.747 Z M -48.133 159.747 L -77.433 114.147 L -93.233 114.147 L -93.233 179.247 L -79.733 179.247 L -79.733 133.647 L -50.433 179.347 L -34.633 179.347 L -34.633 114.247 L -48.133 114.247 L -48.133 159.747 Z M 90.067 140.147 L 59.367 140.147 L 59.367 114.147 L 45.367 114.147 L 45.367 179.247 L 59.367 179.247 L 59.367 152.647 L 90.067 152.647 L 90.067 179.247 L 104.067 179.247 L 104.067 114.147 L 90.067 114.147 L 90.067 140.147 Z M -144.333 114.147 L -170.333 179.247 L -155.833 179.247 L -150.533 165.547 L -123.333 165.547 L -118.033 179.247 L -103.533 179.247 L -129.533 114.147 L -144.333 114.147 Z M -145.833 153.547 L -136.933 130.647 L -128.033 153.547 L -145.833 153.547 Z M 219.667 113.047 C 200.867 113.047 187.567 127.047 187.567 146.847 C 187.567 166.447 200.867 180.447 219.667 180.447 C 238.367 180.447 251.567 166.447 251.567 146.847 C 251.567 127.047 238.367 113.047 219.667 113.047 Z M 219.667 167.447 C 208.667 167.447 201.967 159.647 201.967 146.847 C 201.967 133.947 208.667 126.047 219.667 126.047 C 230.567 126.047 237.167 133.847 237.167 146.847 C 237.167 159.547 230.567 167.447 219.667 167.447 Z M 414.767 157.447 C 412.367 163.747 407.467 167.447 400.867 167.447 C 389.867 167.447 383.167 159.647 383.167 146.847 C 383.167 133.947 389.867 126.047 400.867 126.047 C 407.467 126.047 412.267 129.647 414.767 136.047 L 429.567 136.047 C 425.967 122.047 415.067 113.047 400.867 113.047 C 382.067 113.047 368.767 127.047 368.767 146.847 C 368.767 166.447 382.067 180.447 400.867 180.447 C 415.067 180.447 425.967 171.347 429.667 157.447 L 414.767 157.447 Z M 325.867 114.147 L 351.867 179.247 L 366.067 179.247 L 340.067 114.147 L 325.867 114.147 Z M 296.367 114.147 L 264.567 114.147 L 264.567 179.247 L 278.567 179.247 L 278.567 155.647 L 296.467 155.647 C 311.267 155.647 320.267 147.847 320.267 134.847 C 320.267 121.947 311.167 114.147 296.367 114.147 Z M 295.767 143.147 L 278.567 143.147 L 278.567 126.747 L 295.767 126.747 C 302.667 126.747 306.267 129.547 306.267 134.947 C 306.267 140.347 302.667 143.147 295.767 143.147 Z M 176.867 134.047 C 176.867 121.747 167.867 114.247 153.067 114.247 L 121.267 114.247 L 121.267 179.347 L 135.267 179.347 L 135.267 153.847 L 150.767 153.847 L 164.767 179.347 L 180.167 179.347 L 164.667 151.947 C 172.367 148.847 176.867 142.647 176.867 134.047 Z M 135.167 126.747 L 152.367 126.747 C 159.267 126.747 162.867 129.247 162.867 134.047 C 162.867 138.747 159.267 141.347 152.367 141.347 L 135.167 141.347 L 135.167 126.747 Z"></path>
</svg>
Side by side

After

Width:  |  Height:  |  Size: 2.9 KiB

11
src/frontend/src/icons/Anthropic/anthropic_box.svg Normal file
View file

@ -0,0 +1,11 @@
<?xml version="1.0" encoding="utf-8"?>
<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="-126.9 247.9 207.161 212.728" width="207.161" height="212.728">
<defs>
<style type="text/css">
.st0{fill:#1F1F1E;}
</style>
</defs>
<path class="st0" d="M 19.9 260.5 L 41.8 260.5 L 41.8 313.1 L 55.8 313.1 L 55.8 260.5 L 77.7 260.5 L 77.7 247.9 L 19.9 247.9 L 19.9 260.5 Z M -4.7 293.5 L -34 247.9 L -49.8 247.9 L -49.8 313 L -36.3 313 L -36.3 267.4 L -7 313.1 L 8.8 313.1 L 8.8 248 L -4.7 248 L -4.7 293.5 Z M -100.9 247.9 L -126.9 313 L -112.4 313 L -107.1 299.3 L -79.9 299.3 L -74.6 313 L -60.1 313 L -86.1 247.9 L -100.9 247.9 Z M -102.4 287.3 L -93.5 264.4 L -84.6 287.3 L -102.4 287.3 Z"></path>
<path class="st0" d="M 38.246 437.628 C 35.846 443.928 30.946 447.628 24.346 447.628 C 13.346 447.628 6.646 439.828 6.646 427.028 C 6.646 414.128 13.346 406.228 24.346 406.228 C 30.946 406.228 35.746 409.828 38.246 416.228 L 53.046 416.228 C 49.446 402.228 38.546 393.228 24.346 393.228 C 5.546 393.228 -7.754 407.228 -7.754 427.028 C -7.754 446.628 5.546 460.628 24.346 460.628 C 38.546 460.628 49.446 451.528 53.146 437.628 L 38.246 437.628 Z M -50.654 394.328 L -24.654 459.428 L -10.454 459.428 L -36.454 394.328 L -50.654 394.328 Z M -80.154 394.328 L -111.954 394.328 L -111.954 459.428 L -97.954 459.428 L -97.954 435.828 L -80.054 435.828 C -65.254 435.828 -56.254 428.028 -56.254 415.028 C -56.254 402.128 -65.354 394.328 -80.154 394.328 Z M -80.754 423.328 L -97.954 423.328 L -97.954 406.928 L -80.754 406.928 C -73.854 406.928 -70.254 409.728 -70.254 415.128 C -70.254 420.528 -73.854 423.328 -80.754 423.328 Z"></path>
<path class="st0" d="M -81.239 347.704 L -111.939 347.704 L -111.939 321.704 L -125.939 321.704 L -125.939 386.804 L -111.939 386.804 L -111.939 360.204 L -81.239 360.204 L -81.239 386.804 L -67.239 386.804 L -67.239 321.704 L -81.239 321.704 L -81.239 347.704 Z M 48.361 320.604 C 29.561 320.604 16.261 334.604 16.261 354.404 C 16.261 374.004 29.561 388.004 48.361 388.004 C 67.061 388.004 80.261 374.004 80.261 354.404 C 80.261 334.604 67.061 320.604 48.361 320.604 Z M 48.361 375.004 C 37.361 375.004 30.661 367.204 30.661 354.404 C 30.661 341.504 37.361 333.604 48.361 333.604 C 59.261 333.604 65.861 341.404 65.861 354.404 C 65.861 367.104 59.261 375.004 48.361 375.004 Z M 5.561 341.604 C 5.561 329.304 -3.439 321.804 -18.239 321.804 L -50.039 321.804 L -50.039 386.904 L -36.039 386.904 L -36.039 361.404 L -20.539 361.404 L -6.539 386.904 L 8.861 386.904 L -6.639 359.504 C 1.061 356.404 5.561 350.204 5.561 341.604 Z M -36.139 334.304 L -18.939 334.304 C -12.039 334.304 -8.439 336.804 -8.439 341.604 C -8.439 346.304 -12.039 348.904 -18.939 348.904 L -36.139 348.904 L -36.139 334.304 Z"></path>
</svg>
Side by side

After

Width:  |  Height:  |  Size: 2.7 KiB

9
src/frontend/src/icons/Anthropic/index.tsx Normal file
View file

@ -0,0 +1,9 @@
import React, { forwardRef } from "react";
import { ReactComponent as AnthropicSVG } from "./anthropic_box.svg";
export const AnthropicIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return <AnthropicSVG ref={ref} {...props} />;
});

5
src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx
View file

@ -5,6 +5,7 @@ import { DisclosureComponentType } from "../../../../types/components";
export default function DisclosureComponent({ export default function DisclosureComponent({
button: { title, Icon, buttons = [] }, button: { title, Icon, buttons = [] },
children, children,
openDisc,
}: DisclosureComponentType) { }: DisclosureComponentType) {
return ( return (
<Disclosure as="div" key={title}> <Disclosure as="div" key={title}>
@ -27,14 +28,14 @@ export default function DisclosureComponent({
<div> <div>
<ChevronRightIcon <ChevronRightIcon
className={`${ className={`${
open ? "rotate-90 transform" : "" open || openDisc ? "rotate-90 transform" : ""
} h-4 w-4 text-gray-800 dark:text-white`} } h-4 w-4 text-gray-800 dark:text-white`}
/> />
</div> </div>
</div> </div>
</Disclosure.Button> </Disclosure.Button>
</div> </div>
<Disclosure.Panel as="div" className="-mt-px"> <Disclosure.Panel as="div" className="-mt-px" static={openDisc}>
{children} {children}
</Disclosure.Panel> </Disclosure.Panel>
</> </>

3
src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
View file

@ -15,6 +15,7 @@ import { MagnifyingGlassIcon } from "@heroicons/react/24/outline";
export default function ExtraSidebar() { export default function ExtraSidebar() {
const { data } = useContext(typesContext); const { data } = useContext(typesContext);
const [dataFilter, setFilterData] = useState(data); const [dataFilter, setFilterData] = useState(data);
const [search, setSearch] = useState("");
function onDragStart( function onDragStart(
event: React.DragEvent<any>, event: React.DragEvent<any>,
@ -58,6 +59,7 @@ export default function ExtraSidebar() {
className="dark:text-white focus:outline-none block w-full rounded-md py-1.5 ps-3 pr-9 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 sm:text-sm sm:leading-6 dark:ring-0 dark:bg-[#2d3747] dark:focus:outline-none" className="dark:text-white focus:outline-none block w-full rounded-md py-1.5 ps-3 pr-9 text-gray-900 shadow-sm ring-1 ring-inset ring-gray-300 placeholder:text-gray-400 sm:text-sm sm:leading-6 dark:ring-0 dark:bg-[#2d3747] dark:focus:outline-none"
onChange={(e) => { onChange={(e) => {
handleSearchInput(e.target.value); handleSearchInput(e.target.value);
setSearch(e.target.value);
}} }}
/> />
<div className="absolute inset-y-0 right-0 flex py-1.5 pr-3 items-center"> <div className="absolute inset-y-0 right-0 flex py-1.5 pr-3 items-center">
@ -71,6 +73,7 @@ export default function ExtraSidebar() {
.map((d: keyof APIObjectType, i) => .map((d: keyof APIObjectType, i) =>
Object.keys(dataFilter[d]).length > 0 ? ( Object.keys(dataFilter[d]).length > 0 ? (
<DisclosureComponent <DisclosureComponent
openDisc={search.length == 0 ? false : true}
key={i} key={i}
button={{ button={{
title: nodeNames[d] ?? nodeNames.unknown, title: nodeNames[d] ?? nodeNames.unknown,

1
src/frontend/src/types/components/index.ts
View file

@ -56,6 +56,7 @@ export type FileComponentType = {
export type DisclosureComponentType = { export type DisclosureComponentType = {
children: ReactNode; children: ReactNode;
openDisc: boolean;
button: { button: {
title: string; title: string;
Icon: ForwardRefExoticComponent<React.SVGProps<SVGSVGElement>>; Icon: ForwardRefExoticComponent<React.SVGProps<SVGSVGElement>>;

3
src/frontend/src/utils.ts
View file

@ -21,6 +21,7 @@ import { FlowType, NodeType } from "./types/flow";
import { APITemplateType, TemplateVariableType } from "./types/api"; import { APITemplateType, TemplateVariableType } from "./types/api";
import _ from "lodash"; import _ from "lodash";
import { ChromaIcon } from "./icons/ChromaIcon"; import { ChromaIcon } from "./icons/ChromaIcon";
import { AnthropicIcon } from "./icons/Anthropic";
import { AirbyteIcon } from "./icons/Airbyte"; import { AirbyteIcon } from "./icons/Airbyte";
import { AzIcon } from "./icons/AzLogo"; import { AzIcon } from "./icons/AzLogo";
import { BingIcon } from "./icons/Bing"; import { BingIcon } from "./icons/Bing";
@ -155,6 +156,8 @@ export const nodeIcons: {
AirbyteJSONLoader: AirbyteIcon, AirbyteJSONLoader: AirbyteIcon,
// SerpAPIWrapper: SerperIcon, // SerpAPIWrapper: SerperIcon,
// AZLyricsLoader: AzIcon, // AZLyricsLoader: AzIcon,
Anthropic: AnthropicIcon,
ChatAnthropic: AnthropicIcon,
BingSearchAPIWrapper: BingIcon, BingSearchAPIWrapper: BingIcon,
BingSearchRun: BingIcon, BingSearchRun: BingIcon,
Cohere: CohereIcon, Cohere: CohereIcon,

22
tests/data/complex_example.json
View file

@ -197,7 +197,7 @@
"y": 136.29836646158452 "y": 136.29836646158452
}, },
"data": { "data": {
"type": "PythonFunction", "type": "PythonFunctionTool",
"node": { "node": {
"template": { "template": {
"code": { "code": {
@ -210,6 +210,26 @@
"type": "str", "type": "str",
"list": false "list": false
}, },
"description": {
"required": true,
"placeholder": "",
"show": true,
"multiline": true,
"value": "My description",
"name": "description",
"type": "str",
"list": false
},
"name": {
"required": true,
"placeholder": "",
"show": true,
"multiline": true,
"value": "My Tool",
"name": "name",
"type": "str",
"list": false
},
"_type": "python_function" "_type": "python_function"
}, },
"description": "Python function to be executed.", "description": "Python function to be executed.",

15
tests/test_custom_types.py
View file

@ -1,16 +1,23 @@
# Test this: # Test this:
from langflow.interface.importing.utils import get_function
import pytest import pytest
from langflow.interface.tools.custom import PythonFunction from langflow.interface.tools.custom import PythonFunctionTool
from langflow.utils import constants from langflow.utils import constants
def test_python_function(): def test_python_function():
"""Test Python function""" """Test Python function"""
func = PythonFunction(code=constants.DEFAULT_PYTHON_FUNCTION) code = constants.DEFAULT_PYTHON_FUNCTION
assert func.get_function()("text") == "text" func = get_function(code)
func = PythonFunctionTool(name="Test", description="Testing", code=code, func=func)
assert func("text") == "text"
# the tool decorator should raise an error if # the tool decorator should raise an error if
# the function is not str -> str # the function is not str -> str
# This raises ValidationError # This raises ValidationError
with pytest.raises(SyntaxError): with pytest.raises(SyntaxError):
func = PythonFunction(code=pytest.CODE_WITH_SYNTAX_ERROR) code = pytest.CODE_WITH_SYNTAX_ERROR
func = get_function(code)
func = PythonFunctionTool(
name="Test", description="Testing", code=code, func=func
)

58
tests/test_graph.py
View file

@ -1,20 +1,20 @@
from typing import Type, Union from typing import Type, Union
from langflow.graph.edge.base import Edge from langflow.graph.edge.base import Edge
from langflow.graph.node.base import Node from langflow.graph.vertex.base import Vertex
import pytest import pytest
from langchain.chains.base import Chain from langchain.chains.base import Chain
from langchain.llms.fake import FakeListLLM from langchain.llms.fake import FakeListLLM
from langflow.graph import Graph from langflow.graph import Graph
from langflow.graph.node.types import ( from langflow.graph.vertex.types import (
AgentNode, AgentVertex,
ChainNode, ChainVertex,
FileToolNode, FileToolVertex,
LLMNode, LLMVertex,
PromptNode, PromptVertex,
ToolkitNode, ToolkitVertex,
ToolNode, ToolVertex,
WrapperNode, WrapperVertex,
) )
from langflow.interface.run import get_result_and_thought from langflow.interface.run import get_result_and_thought
from langflow.utils.payload import get_root_node from langflow.utils.payload import get_root_node
@ -25,7 +25,7 @@ from langflow.utils.payload import get_root_node
# BASIC_EXAMPLE_PATH, COMPLEX_EXAMPLE_PATH, OPENAPI_EXAMPLE_PATH # BASIC_EXAMPLE_PATH, COMPLEX_EXAMPLE_PATH, OPENAPI_EXAMPLE_PATH
def get_node_by_type(graph, node_type: Type[Node]) -> Union[Node, None]: def get_node_by_type(graph, node_type: Type[Vertex]) -> Union[Vertex, None]:
"""Get a node by type""" """Get a node by type"""
return next((node for node in graph.nodes if isinstance(node, node_type)), None) return next((node for node in graph.nodes if isinstance(node, node_type)), None)
@ -35,7 +35,7 @@ def test_graph_structure(basic_graph):
assert len(basic_graph.nodes) > 0 assert len(basic_graph.nodes) > 0
assert len(basic_graph.edges) > 0 assert len(basic_graph.edges) > 0
for node in basic_graph.nodes: for node in basic_graph.nodes:
assert isinstance(node, Node) assert isinstance(node, Vertex)
for edge in basic_graph.edges: for edge in basic_graph.edges:
assert isinstance(edge, Edge) assert isinstance(edge, Edge)
assert edge.source in basic_graph.nodes assert edge.source in basic_graph.nodes
@ -158,14 +158,16 @@ def test_get_node_neighbors_complex(complex_graph):
tool_neighbors = complex_graph.get_nodes_with_target(tool) tool_neighbors = complex_graph.get_nodes_with_target(tool)
assert tool_neighbors is not None assert tool_neighbors is not None
# Check if there is a PythonFunction in the tool's neighbors # Check if there is a PythonFunction in the tool's neighbors
assert any("PythonFunction" in neighbor.data["type"] for neighbor in tool_neighbors) assert any(
"PythonFunctionTool" in neighbor.data["type"] for neighbor in tool_neighbors
)
def test_get_node(basic_graph): def test_get_node(basic_graph):
"""Test getting a single node""" """Test getting a single node"""
node_id = basic_graph.nodes[0].id node_id = basic_graph.nodes[0].id
node = basic_graph.get_node(node_id) node = basic_graph.get_node(node_id)
assert isinstance(node, Node) assert isinstance(node, Vertex)
assert node.id == node_id assert node.id == node_id
@ -174,7 +176,7 @@ def test_build_nodes(basic_graph):
assert len(basic_graph.nodes) == len(basic_graph._nodes) assert len(basic_graph.nodes) == len(basic_graph._nodes)
for node in basic_graph.nodes: for node in basic_graph.nodes:
assert isinstance(node, Node) assert isinstance(node, Vertex)
def test_build_edges(basic_graph): def test_build_edges(basic_graph):
@ -182,8 +184,8 @@ def test_build_edges(basic_graph):
assert len(basic_graph.edges) == len(basic_graph._edges) assert len(basic_graph.edges) == len(basic_graph._edges)
for edge in basic_graph.edges: for edge in basic_graph.edges:
assert isinstance(edge, Edge) assert isinstance(edge, Edge)
assert isinstance(edge.source, Node) assert isinstance(edge.source, Vertex)
assert isinstance(edge.target, Node) assert isinstance(edge.target, Vertex)
def test_get_root_node(basic_graph, complex_graph): def test_get_root_node(basic_graph, complex_graph):
@ -191,13 +193,13 @@ def test_get_root_node(basic_graph, complex_graph):
assert isinstance(basic_graph, Graph) assert isinstance(basic_graph, Graph)
root = get_root_node(basic_graph) root = get_root_node(basic_graph)
assert root is not None assert root is not None
assert isinstance(root, Node) assert isinstance(root, Vertex)
assert root.data["type"] == "TimeTravelGuideChain" assert root.data["type"] == "TimeTravelGuideChain"
# For complex example, the root node is a ZeroShotAgent too # For complex example, the root node is a ZeroShotAgent too
assert isinstance(complex_graph, Graph) assert isinstance(complex_graph, Graph)
root = get_root_node(complex_graph) root = get_root_node(complex_graph)
assert root is not None assert root is not None
assert isinstance(root, Node) assert isinstance(root, Vertex)
assert root.data["type"] == "ZeroShotAgent" assert root.data["type"] == "ZeroShotAgent"
@ -257,14 +259,14 @@ def assert_agent_was_built(graph):
def test_agent_node_build(complex_graph): def test_agent_node_build(complex_graph):
agent_node = get_node_by_type(complex_graph, AgentNode) agent_node = get_node_by_type(complex_graph, AgentVertex)
assert agent_node is not None assert agent_node is not None
built_object = agent_node.build() built_object = agent_node.build()
assert built_object is not None assert built_object is not None
def test_tool_node_build(complex_graph): def test_tool_node_build(complex_graph):
tool_node = get_node_by_type(complex_graph, ToolNode) tool_node = get_node_by_type(complex_graph, ToolVertex)
assert tool_node is not None assert tool_node is not None
built_object = tool_node.build() built_object = tool_node.build()
assert built_object is not None assert built_object is not None
@ -272,7 +274,7 @@ def test_tool_node_build(complex_graph):
def test_chain_node_build(complex_graph): def test_chain_node_build(complex_graph):
chain_node = get_node_by_type(complex_graph, ChainNode) chain_node = get_node_by_type(complex_graph, ChainVertex)
assert chain_node is not None assert chain_node is not None
built_object = chain_node.build() built_object = chain_node.build()
assert built_object is not None assert built_object is not None
@ -280,7 +282,7 @@ def test_chain_node_build(complex_graph):
def test_prompt_node_build(complex_graph): def test_prompt_node_build(complex_graph):
prompt_node = get_node_by_type(complex_graph, PromptNode) prompt_node = get_node_by_type(complex_graph, PromptVertex)
assert prompt_node is not None assert prompt_node is not None
built_object = prompt_node.build() built_object = prompt_node.build()
assert built_object is not None assert built_object is not None
@ -288,7 +290,7 @@ def test_prompt_node_build(complex_graph):
def test_llm_node_build(basic_graph): def test_llm_node_build(basic_graph):
llm_node = get_node_by_type(basic_graph, LLMNode) llm_node = get_node_by_type(basic_graph, LLMVertex)
assert llm_node is not None assert llm_node is not None
built_object = llm_node.build() built_object = llm_node.build()
assert built_object is not None assert built_object is not None
@ -296,7 +298,7 @@ def test_llm_node_build(basic_graph):
def test_toolkit_node_build(openapi_graph): def test_toolkit_node_build(openapi_graph):
toolkit_node = get_node_by_type(openapi_graph, ToolkitNode) toolkit_node = get_node_by_type(openapi_graph, ToolkitVertex)
assert toolkit_node is not None assert toolkit_node is not None
built_object = toolkit_node.build() built_object = toolkit_node.build()
assert built_object is not None assert built_object is not None
@ -304,7 +306,7 @@ def test_toolkit_node_build(openapi_graph):
def test_file_tool_node_build(openapi_graph): def test_file_tool_node_build(openapi_graph):
file_tool_node = get_node_by_type(openapi_graph, FileToolNode) file_tool_node = get_node_by_type(openapi_graph, FileToolVertex)
assert file_tool_node is not None assert file_tool_node is not None
built_object = file_tool_node.build() built_object = file_tool_node.build()
assert built_object is not None assert built_object is not None
@ -312,7 +314,7 @@ def test_file_tool_node_build(openapi_graph):
def test_wrapper_node_build(openapi_graph): def test_wrapper_node_build(openapi_graph):
wrapper_node = get_node_by_type(openapi_graph, WrapperNode) wrapper_node = get_node_by_type(openapi_graph, WrapperVertex)
assert wrapper_node is not None assert wrapper_node is not None
built_object = wrapper_node.build() built_object = wrapper_node.build()
assert built_object is not None assert built_object is not None
@ -327,7 +329,7 @@ def test_get_result_and_thought(basic_graph):
message = "Hello" message = "Hello"
# Find the node that is an LLMNode and change the # Find the node that is an LLMNode and change the
# _built_object to a FakeListLLM # _built_object to a FakeListLLM
llm_node = get_node_by_type(basic_graph, LLMNode) llm_node = get_node_by_type(basic_graph, LLMVertex)
assert llm_node is not None assert llm_node is not None
llm_node._built_object = FakeListLLM(responses=responses) llm_node._built_object = FakeListLLM(responses=responses)
llm_node._built = True llm_node._built = True