Merge branch 'release' into bugfix-duplicate
This commit is contained in:
Gabriel Luiz Freitas Almeida
GitHub
commit
ae5f04a1b0
27 changed files with 624 additions and 392 deletions
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@ -13,8 +13,9 @@
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<img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" />
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</p>
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||||
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||||
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||||
<p>
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||||
<a href="https://discord.gg/FUhJnnJ9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/FUhJnnJ9?compact=true&style=flat"/></a>
|
||||
<a href="https://discord.gg/EqksyE2EX9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat"/></a>
|
||||
<a href="https://huggingface.co/spaces/Logspace/LangFlow"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="HuggingFace Spaces"></a>
|
||||
</p>
|
||||
|
||||
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|||
138
poetry.lock
generated
138
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]]
|
||||
name = "authlib"
|
||||
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."
|
||||
category = "main"
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||||
optional = false
|
||||
python-versions = "*"
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||||
files = [
|
||||
{file = "Authlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:4ddf4fd6cfa75c9a460b361d4bd9dac71ffda0be879dbe4292a02e92349ad55a"},
|
||||
{file = "Authlib-1.2.0.tar.gz", hash = "sha256:4fa3e80883a5915ef9f5bc28630564bc4ed5b5af39812a3ff130ec76bd631e9d"},
|
||||
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|
||||
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]
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[package.dependencies]
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@ -1102,13 +1102,13 @@ wmi = ["wmi (>=1.5.1,<2.0.0)"]
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[[package]]
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name = "docarray"
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version = "0.21.0"
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version = "0.21.1"
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||||
description = "The data structure for unstructured data"
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category = "main"
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||||
optional = false
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||||
python-versions = "*"
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||||
files = [
|
||||
{file = "docarray-0.21.0.tar.gz", hash = "sha256:3c9f605123800c1b0cdf8c458be3fb19c05e9a81f723e51200ef531b02e689ee"},
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{file = "docarray-0.21.1.tar.gz", hash = "sha256:3a478707465c263147a98fe32feb0b6eb215c0ed58852135ac86acb7eae5cecb"},
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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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|
||||
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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"
|
||||
version = "0.0.211"
|
||||
version = "0.0.215"
|
||||
description = "Building applications with LLMs through composability"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
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||||
files = [
|
||||
{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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|
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|
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[package.dependencies]
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@ -3199,44 +3199,44 @@ dill = ">=0.3.6"
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[[package]]
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name = "mypy"
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version = "1.4.0"
|
||||
version = "1.4.1"
|
||||
description = "Optional static typing for Python"
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
{file = "mypy-1.4.1.tar.gz", hash = "sha256:9bbcd9ab8ea1f2e1c8031c21445b511442cc45c89951e49bbf852cbb70755b1b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
mypy-extensions = ">=1.0.0"
|
||||
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
|
||||
typing-extensions = ">=3.10"
|
||||
typing-extensions = ">=4.1.0"
|
||||
|
||||
[package.extras]
|
||||
dmypy = ["psutil (>=4.0)"]
|
||||
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@ -5129,14 +5129,14 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
|
|||
|
||||
[[package]]
|
||||
name = "qdrant-client"
|
||||
version = "1.3.0"
|
||||
version = "1.3.1"
|
||||
description = "Client library for the Qdrant vector search engine"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7,<3.12"
|
||||
files = [
|
||||
{file = "qdrant_client-1.3.0-py3-none-any.whl", hash = "sha256:f5ab40e24dd31d919475f9a1d7823b1eff2f4df8b4af1812abf19e2789b7021e"},
|
||||
{file = "qdrant_client-1.3.0.tar.gz", hash = "sha256:68168e9b69af7c49ea5f9e90e027ae1944d2a1ee1ea6701315e0ba8a2fdc4a63"},
|
||||
{file = "qdrant_client-1.3.1-py3-none-any.whl", hash = "sha256:9640855585d1f532094e342f07e0f2ef00652a60fc5d903c92ca3989a1e86318"},
|
||||
{file = "qdrant_client-1.3.1.tar.gz", hash = "sha256:a999358b10e611d71b4b04c6ded36a6cfc963e56b4c3f99d9c1a603ca524a82e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -5445,41 +5445,39 @@ tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (
|
|||
|
||||
[[package]]
|
||||
name = "scipy"
|
||||
version = "1.10.1"
|
||||
version = "1.11.0"
|
||||
description = "Fundamental algorithms for scientific computing in Python"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "<3.12,>=3.8"
|
||||
python-versions = "<3.13,>=3.9"
|
||||
files = [
|
||||
{file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"},
|
||||
{file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
|
||||
{file = "scipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2e4f14c11fbf825319dbd7f467639a241e7c956c34edb1e036ec7bb6271e4f7b"},
|
||||
{file = "scipy-1.11.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:b269ed44e2e2e43611f2ae95ba551fd98abbdc1a7ea8268f72f75876982368c4"},
|
||||
{file = "scipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c29bae479b17d85208dfdfc67e50d5944ee23211f236728aadde9b0b7c1c33e"},
|
||||
{file = "scipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a53f9cebcfda6158c241c35a559407a4ef6b8cb0863eb4144958fe0a0b7c3dae"},
|
||||
{file = "scipy-1.11.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ebf4b2ea26d50312731ddba2406389c5ddcbff9d777cf3277ea11decc81e5dfb"},
|
||||
{file = "scipy-1.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:894ced9a2cdb050ff5e392f274617af46dca896d5c9112fa4a2019929554d321"},
|
||||
{file = "scipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7a92bd3cd4acad2e0e0b360176d5ec68b100983c8145add8a8233acddf4e5fcc"},
|
||||
{file = "scipy-1.11.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:586608ea35206257d4e0ce6f154a6cfef71723b2c1f6d40de5e0b0e8a81cd2ff"},
|
||||
{file = "scipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e631c3c49c24f30828580b8126fe3be5cca5409dad5b797418a5b8965eeafa"},
|
||||
{file = "scipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ccc70892ea674f93183c5c4139557b611e42f644dd755da4b19ca974ab770672"},
|
||||
{file = "scipy-1.11.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80015b8928f91bd40377b2b1010ba2e09b03680cbfc291208740494aeb8debf2"},
|
||||
{file = "scipy-1.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:6302c7cba5bf99c901653ff158746625526cc438f058bce41514d7469b79b2c3"},
|
||||
{file = "scipy-1.11.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c61ea63124da6a3cff38126426912cc86420898b4902a9bc5e5b6524547a6dcb"},
|
||||
{file = "scipy-1.11.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:684d44607eacd5dd367c7a9e76e922523fa9c0a7f2379a4d0fc4d70d751464cc"},
|
||||
{file = "scipy-1.11.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0c9c160d117fe71cd2a12ef21cce8e0475ade2fd97c761ef327b9839089bd16"},
|
||||
{file = "scipy-1.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83867a63515c4e3fce3272d81200dda614d70f4c3a22f047d84021bfe83d7929"},
|
||||
{file = "scipy-1.11.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6666a1e31b2123a077f0dc7ab1053e36479cfd457fb9f5c367e7198505c6607a"},
|
||||
{file = "scipy-1.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:fad4006248513528e0c496de295a9f4d2b65086cc0e388f748e7dbf49fa12760"},
|
||||
{file = "scipy-1.11.0.tar.gz", hash = "sha256:f9b0248cb9d08eead44cde47cbf6339f1e9aa0dfde28f5fb27950743e317bd5d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.19.5,<1.27.0"
|
||||
numpy = ">=1.21.6,<1.28.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
|
||||
doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
|
||||
dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
|
||||
doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
|
||||
test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -7117,4 +7115,4 @@ deploy = ["langchain-serve"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<3.12"
|
||||
content-hash = "e7b18762564269aaf9c6b046fa151f5e3acf85444f38653503341f658155e70a"
|
||||
content-hash = "2f8373e1c80ce345f39ed9247fd4759ae94b5c754c4e850d3aa72183556eb92b"
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
[tool.poetry]
|
||||
name = "langflow"
|
||||
version = "0.1.7"
|
||||
version = "0.2.2"
|
||||
description = "A Python package with a built-in web application"
|
||||
authors = ["Logspace <contact@logspace.ai>"]
|
||||
maintainers = [
|
||||
|
|
@ -30,7 +30,7 @@ google-search-results = "^2.4.1"
|
|||
google-api-python-client = "^2.79.0"
|
||||
typer = "^0.9.0"
|
||||
gunicorn = "^20.1.0"
|
||||
langchain = "^0.0.211"
|
||||
langchain = "^0.0.215"
|
||||
openai = "^0.27.8"
|
||||
types-pyyaml = "^6.0.12.8"
|
||||
pandas = "^1.5.3"
|
||||
|
|
@ -72,7 +72,7 @@ pymongo = "^4.4.0"
|
|||
certifi = "^2023.5.7"
|
||||
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
[tool.poetry.dev-dependencies]
|
||||
black = "^23.1.0"
|
||||
ipykernel = "^6.21.2"
|
||||
mypy = "^1.1.1"
|
||||
|
|
|
|||
|
|
@ -1,6 +1,5 @@
|
|||
import sys
|
||||
import time
|
||||
from fastapi import FastAPI
|
||||
import httpx
|
||||
from multiprocess import Process, cpu_count # type: ignore
|
||||
import platform
|
||||
|
|
@ -11,9 +10,7 @@ from rich.panel import Panel
|
|||
from rich import box
|
||||
from rich import print as rprint
|
||||
import typer
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from fastapi.responses import FileResponse
|
||||
from langflow.main import create_app
|
||||
from langflow.main import setup_app
|
||||
from langflow.settings import settings
|
||||
from langflow.utils.logger import configure, logger
|
||||
import webbrowser
|
||||
|
|
@ -30,6 +27,7 @@ def get_number_of_workers(workers=None):
|
|||
|
||||
def update_settings(
|
||||
config: str,
|
||||
cache: str,
|
||||
dev: bool = False,
|
||||
database_url: Optional[str] = None,
|
||||
remove_api_keys: bool = False,
|
||||
|
|
@ -41,6 +39,8 @@ def update_settings(
|
|||
settings.update_settings(database_url=database_url)
|
||||
if remove_api_keys:
|
||||
settings.update_settings(remove_api_keys=remove_api_keys)
|
||||
if cache:
|
||||
settings.update_settings(cache=cache)
|
||||
|
||||
|
||||
def serve_on_jcloud():
|
||||
|
|
@ -102,6 +102,11 @@ def serve(
|
|||
),
|
||||
log_level: str = typer.Option("critical", help="Logging level."),
|
||||
log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."),
|
||||
cache: str = typer.Argument(
|
||||
envvar="LANGCHAIN_CACHE",
|
||||
help="Type of cache to use. (InMemoryCache, SQLiteCache)",
|
||||
default="SQLiteCache",
|
||||
),
|
||||
jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
|
||||
dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
|
||||
database_url: str = typer.Option(
|
||||
|
|
@ -130,17 +135,15 @@ def serve(
|
|||
|
||||
configure(log_level=log_level, log_file=log_file)
|
||||
update_settings(
|
||||
config, dev=dev, database_url=database_url, remove_api_keys=remove_api_keys
|
||||
config,
|
||||
dev=dev,
|
||||
database_url=database_url,
|
||||
remove_api_keys=remove_api_keys,
|
||||
cache=cache,
|
||||
)
|
||||
# get the directory of the current file
|
||||
if not path:
|
||||
frontend_path = Path(__file__).parent
|
||||
static_files_dir = frontend_path / "frontend"
|
||||
else:
|
||||
static_files_dir = Path(path)
|
||||
|
||||
app = create_app()
|
||||
setup_static_files(app, static_files_dir)
|
||||
# create path object if path is provided
|
||||
static_files_dir: Optional[Path] = Path(path) if path else None
|
||||
app = setup_app(static_files_dir=static_files_dir)
|
||||
# check if port is being used
|
||||
if is_port_in_use(port, host):
|
||||
port = get_free_port(port)
|
||||
|
|
@ -188,29 +191,6 @@ def run_on_windows(host, port, log_level, options, app):
|
|||
run_langflow(host, port, log_level, options, app)
|
||||
|
||||
|
||||
def setup_static_files(app: FastAPI, static_files_dir: Path):
|
||||
"""
|
||||
Setup the static files directory.
|
||||
|
||||
Args:
|
||||
app (FastAPI): FastAPI app.
|
||||
path (str): Path to the static files directory.
|
||||
"""
|
||||
app.mount(
|
||||
"/",
|
||||
StaticFiles(directory=static_files_dir, html=True),
|
||||
name="static",
|
||||
)
|
||||
|
||||
@app.exception_handler(404)
|
||||
async def custom_404_handler(request, __):
|
||||
path = static_files_dir / "index.html"
|
||||
|
||||
if not path.exists():
|
||||
raise RuntimeError(f"File at path {path} does not exist.")
|
||||
return FileResponse(path)
|
||||
|
||||
|
||||
def is_port_in_use(port, host="localhost"):
|
||||
"""
|
||||
Check if a port is in use.
|
||||
|
|
|
|||
2
src/backend/langflow/chat/config.py
Normal file
2
src/backend/langflow/chat/config.py
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
class ChatConfig:
|
||||
streaming: bool = True
|
||||
|
|
@ -209,3 +209,5 @@ class ChatManager:
|
|||
except Exception as e:
|
||||
logger.error(e)
|
||||
self.disconnect(client_id)
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,141 +1,247 @@
|
|||
---
|
||||
agents:
|
||||
- ZeroShotAgent
|
||||
- JsonAgent
|
||||
- CSVAgent
|
||||
- AgentInitializer
|
||||
- VectorStoreAgent
|
||||
- VectorStoreRouterAgent
|
||||
- SQLAgent
|
||||
ZeroShotAgent:
|
||||
documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
|
||||
JsonAgent:
|
||||
documentation: "https://python.langchain.com/docs/modules/agents/toolkits/openapi"
|
||||
CSVAgent:
|
||||
documentation: "https://python.langchain.com/docs/modules/agents/toolkits/csv"
|
||||
AgentInitializer:
|
||||
documentation: "https://python.langchain.com/docs/modules/agents/agent_types/"
|
||||
VectorStoreAgent:
|
||||
documentation: ""
|
||||
VectorStoreRouterAgent:
|
||||
documentation: ""
|
||||
SQLAgent:
|
||||
documentation: ""
|
||||
chains:
|
||||
- LLMChain
|
||||
- LLMMathChain
|
||||
- LLMCheckerChain
|
||||
- ConversationChain
|
||||
- SeriesCharacterChain
|
||||
- MidJourneyPromptChain
|
||||
- TimeTravelGuideChain
|
||||
- SQLDatabaseChain
|
||||
- RetrievalQA
|
||||
- RetrievalQAWithSourcesChain
|
||||
- ConversationalRetrievalChain
|
||||
- CombineDocsChain
|
||||
LLMChain:
|
||||
documentation: "https://python.langchain.com/docs/modules/chains/foundational/llm_chain"
|
||||
LLMMathChain:
|
||||
documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_math"
|
||||
LLMCheckerChain:
|
||||
documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
|
||||
ConversationChain:
|
||||
documentation: ""
|
||||
SeriesCharacterChain:
|
||||
documentation: ""
|
||||
MidJourneyPromptChain:
|
||||
documentation: ""
|
||||
TimeTravelGuideChain:
|
||||
documentation: ""
|
||||
SQLDatabaseChain:
|
||||
documentation: ""
|
||||
RetrievalQA:
|
||||
documentation: "https://python.langchain.com/docs/modules/chains/popular/vector_db_qa"
|
||||
RetrievalQAWithSourcesChain:
|
||||
documentation: ""
|
||||
ConversationalRetrievalChain:
|
||||
documentation: "https://python.langchain.com/docs/modules/chains/popular/chat_vector_db"
|
||||
CombineDocsChain:
|
||||
documentation: ""
|
||||
documentloaders:
|
||||
- AirbyteJSONLoader
|
||||
- CoNLLULoader
|
||||
- CSVLoader
|
||||
- UnstructuredEmailLoader
|
||||
- EverNoteLoader
|
||||
- FacebookChatLoader
|
||||
- GutenbergLoader
|
||||
- BSHTMLLoader
|
||||
- UnstructuredHTMLLoader
|
||||
# - UnstructuredImageLoader # Issue with Python 3.11 (https://github.com/Unstructured-IO/unstructured-inference/issues/83)
|
||||
- UnstructuredMarkdownLoader
|
||||
- PyPDFLoader
|
||||
- UnstructuredPowerPointLoader
|
||||
- SRTLoader
|
||||
- TelegramChatLoader
|
||||
- TextLoader
|
||||
- UnstructuredWordDocumentLoader
|
||||
- WebBaseLoader
|
||||
- AZLyricsLoader
|
||||
- CollegeConfidentialLoader
|
||||
- HNLoader
|
||||
- IFixitLoader
|
||||
- IMSDbLoader
|
||||
- GitbookLoader
|
||||
- ReadTheDocsLoader
|
||||
- SlackDirectoryLoader
|
||||
- NotionDirectoryLoader
|
||||
- DirectoryLoader
|
||||
- GitLoader
|
||||
AirbyteJSONLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
|
||||
CoNLLULoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u"
|
||||
CSVLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv"
|
||||
UnstructuredEmailLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email"
|
||||
EverNoteLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote"
|
||||
FacebookChatLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat"
|
||||
GutenbergLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg"
|
||||
BSHTMLLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
|
||||
UnstructuredHTMLLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
|
||||
UnstructuredMarkdownLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown"
|
||||
PyPDFLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
|
||||
UnstructuredPowerPointLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint"
|
||||
SRTLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle"
|
||||
TelegramChatLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/telegram"
|
||||
TextLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/"
|
||||
UnstructuredWordDocumentLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
|
||||
WebBaseLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base"
|
||||
AZLyricsLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics"
|
||||
CollegeConfidentialLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential"
|
||||
HNLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news"
|
||||
IFixitLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit"
|
||||
IMSDbLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb"
|
||||
GitbookLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook"
|
||||
ReadTheDocsLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation"
|
||||
SlackDirectoryLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack"
|
||||
NotionDirectoryLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion"
|
||||
DirectoryLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory"
|
||||
GitLoader:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git"
|
||||
embeddings:
|
||||
- OpenAIEmbeddings
|
||||
- HuggingFaceEmbeddings
|
||||
- CohereEmbeddings
|
||||
OpenAIEmbeddings:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai"
|
||||
HuggingFaceEmbeddings:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
|
||||
CohereEmbeddings:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
|
||||
llms:
|
||||
- OpenAI
|
||||
# - AzureOpenAI
|
||||
# - AzureChatOpenAI
|
||||
- ChatOpenAI
|
||||
- LlamaCpp
|
||||
- CTransformers
|
||||
- Cohere
|
||||
- Anthropic
|
||||
- ChatAnthropic
|
||||
- HuggingFaceHub
|
||||
OpenAI:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"
|
||||
ChatOpenAI:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai"
|
||||
LlamaCpp:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
|
||||
CTransformers:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
|
||||
Cohere:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
|
||||
Anthropic:
|
||||
documentation: ""
|
||||
ChatAnthropic:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
|
||||
HuggingFaceHub:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub"
|
||||
memories:
|
||||
- ConversationBufferMemory
|
||||
- ConversationSummaryMemory
|
||||
- ConversationKGMemory
|
||||
ConversationBufferMemory:
|
||||
documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
|
||||
ConversationSummaryMemory:
|
||||
documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
|
||||
ConversationKGMemory:
|
||||
documentation: "https://python.langchain.com/docs/modules/memory/how_to/kg"
|
||||
ConversationBufferWindowMemory:
|
||||
documentation: "https://python.langchain.com/docs/modules/memory/how_to/buffer_window"
|
||||
VectorStoreRetrieverMemory:
|
||||
documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
|
||||
prompts:
|
||||
- PromptTemplate
|
||||
- FewShotPromptTemplate
|
||||
- ZeroShotPrompt
|
||||
PromptTemplate:
|
||||
documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/"
|
||||
ZeroShotPrompt:
|
||||
documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
|
||||
textsplitters:
|
||||
- CharacterTextSplitter
|
||||
- RecursiveCharacterTextSplitter
|
||||
# - LatexTextSplitter
|
||||
# - PythonCodeTextSplitter
|
||||
CharacterTextSplitter:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter"
|
||||
RecursiveCharacterTextSplitter:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/recursive_text_splitter"
|
||||
toolkits:
|
||||
- OpenAPIToolkit
|
||||
- JsonToolkit
|
||||
- VectorStoreInfo
|
||||
- VectorStoreRouterToolkit
|
||||
- VectorStoreToolkit
|
||||
OpenAPIToolkit:
|
||||
documentation: ""
|
||||
JsonToolkit:
|
||||
documentation: ""
|
||||
VectorStoreInfo:
|
||||
documentation: ""
|
||||
VectorStoreRouterToolkit:
|
||||
documentation: ""
|
||||
VectorStoreToolkit:
|
||||
documentation: ""
|
||||
tools:
|
||||
- Search
|
||||
- PAL-MATH
|
||||
- Calculator
|
||||
- Serper Search
|
||||
- Tool
|
||||
- PythonFunctionTool
|
||||
- PythonFunction
|
||||
- JsonSpec
|
||||
- News API
|
||||
- TMDB API
|
||||
- Podcast API
|
||||
- QuerySQLDataBaseTool
|
||||
- InfoSQLDatabaseTool
|
||||
- ListSQLDatabaseTool
|
||||
# - QueryCheckerTool
|
||||
- BingSearchRun
|
||||
- GoogleSearchRun
|
||||
- GoogleSearchResults
|
||||
- GoogleSerperRun
|
||||
- JsonListKeysTool
|
||||
- JsonGetValueTool
|
||||
- PythonREPLTool
|
||||
- PythonAstREPLTool
|
||||
- RequestsGetTool
|
||||
- RequestsPostTool
|
||||
- RequestsPatchTool
|
||||
- RequestsPutTool
|
||||
- RequestsDeleteTool
|
||||
- WikipediaQueryRun
|
||||
- WolframAlphaQueryRun
|
||||
Search:
|
||||
documentation: ""
|
||||
PAL-MATH:
|
||||
documentation: ""
|
||||
Calculator:
|
||||
documentation: ""
|
||||
Serper Search:
|
||||
documentation: ""
|
||||
Tool:
|
||||
documentation: ""
|
||||
PythonFunctionTool:
|
||||
documentation: ""
|
||||
PythonFunction:
|
||||
documentation: ""
|
||||
JsonSpec:
|
||||
documentation: ""
|
||||
News API:
|
||||
documentation: ""
|
||||
TMDB API:
|
||||
documentation: ""
|
||||
Podcast API:
|
||||
documentation: ""
|
||||
QuerySQLDataBaseTool:
|
||||
documentation: ""
|
||||
InfoSQLDatabaseTool:
|
||||
documentation: ""
|
||||
ListSQLDatabaseTool:
|
||||
documentation: ""
|
||||
BingSearchRun:
|
||||
documentation: ""
|
||||
GoogleSearchRun:
|
||||
documentation: ""
|
||||
GoogleSearchResults:
|
||||
documentation: ""
|
||||
GoogleSerperRun:
|
||||
documentation: ""
|
||||
JsonListKeysTool:
|
||||
documentation: ""
|
||||
JsonGetValueTool:
|
||||
documentation: ""
|
||||
PythonREPLTool:
|
||||
documentation: ""
|
||||
PythonAstREPLTool:
|
||||
documentation: ""
|
||||
RequestsGetTool:
|
||||
documentation: ""
|
||||
RequestsPostTool:
|
||||
documentation: ""
|
||||
RequestsPatchTool:
|
||||
documentation: ""
|
||||
RequestsPutTool:
|
||||
documentation: ""
|
||||
RequestsDeleteTool:
|
||||
documentation: ""
|
||||
WikipediaQueryRun:
|
||||
documentation: ""
|
||||
WolframAlphaQueryRun:
|
||||
documentation: ""
|
||||
utilities:
|
||||
- BingSearchAPIWrapper
|
||||
- GoogleSearchAPIWrapper
|
||||
- GoogleSerperAPIWrapper
|
||||
- SearxResults
|
||||
- SearxSearchWrapper
|
||||
- SerpAPIWrapper
|
||||
- WikipediaAPIWrapper
|
||||
- WolframAlphaAPIWrapper
|
||||
# - ZapierNLAWrapper
|
||||
- SQLDatabase
|
||||
BingSearchAPIWrapper:
|
||||
documentation: ""
|
||||
GoogleSearchAPIWrapper:
|
||||
documentation: ""
|
||||
GoogleSerperAPIWrapper:
|
||||
documentation: ""
|
||||
SearxResults:
|
||||
documentation: ""
|
||||
SearxSearchWrapper:
|
||||
documentation: ""
|
||||
SerpAPIWrapper:
|
||||
documentation: ""
|
||||
WikipediaAPIWrapper:
|
||||
documentation: ""
|
||||
WolframAlphaAPIWrapper:
|
||||
documentation: ""
|
||||
vectorstores:
|
||||
- Chroma
|
||||
- Qdrant
|
||||
- Weaviate
|
||||
- FAISS
|
||||
- Pinecone
|
||||
- SupabaseVectorStore
|
||||
- MongoDBAtlasVectorSearch
|
||||
Chroma:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma"
|
||||
Qdrant:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
|
||||
Weaviate:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate"
|
||||
FAISS:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
|
||||
Pinecone:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone"
|
||||
SupabaseVectorStore:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
|
||||
MongoDBAtlasVectorSearch:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas_vector_search"
|
||||
wrappers:
|
||||
- RequestsWrapper
|
||||
# - ChatPromptTemplate
|
||||
# - SystemMessagePromptTemplate
|
||||
# - HumanMessagePromptTemplate
|
||||
RequestsWrapper:
|
||||
documentation: ""
|
||||
|
|
|
|||
|
|
@ -6,6 +6,7 @@ from langchain.agents import (
|
|||
Tool,
|
||||
ZeroShotAgent,
|
||||
initialize_agent,
|
||||
AgentType,
|
||||
)
|
||||
from langchain.agents.agent_toolkits import (
|
||||
SQLDatabaseToolkit,
|
||||
|
|
@ -297,6 +298,9 @@ class InitializeAgent(CustomAgentExecutor):
|
|||
agent: str,
|
||||
memory: Optional[BaseChatMemory] = None,
|
||||
):
|
||||
# Find which value in the AgentType enum corresponds to the string
|
||||
# passed in as agent
|
||||
agent = AgentType(agent)
|
||||
return initialize_agent(
|
||||
tools=tools,
|
||||
llm=llm,
|
||||
|
|
|
|||
|
|
@ -8,6 +8,7 @@ from langflow.template.field.base import TemplateField
|
|||
from langflow.template.frontend_node.base import FrontendNode
|
||||
from langflow.template.template.base import Template
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.settings import settings
|
||||
|
||||
# Assuming necessary imports for Field, Template, and FrontendNode classes
|
||||
|
||||
|
|
@ -15,12 +16,29 @@ from langflow.utils.logger import logger
|
|||
class LangChainTypeCreator(BaseModel, ABC):
|
||||
type_name: str
|
||||
type_dict: Optional[Dict] = None
|
||||
name_docs_dict: Optional[Dict[str, str]] = None
|
||||
|
||||
@property
|
||||
def frontend_node_class(self) -> Type[FrontendNode]:
|
||||
"""The class type of the FrontendNode created in frontend_node."""
|
||||
return FrontendNode
|
||||
|
||||
@property
|
||||
def docs_map(self) -> Dict[str, str]:
|
||||
"""A dict with the name of the component as key and the documentation link as value."""
|
||||
if self.name_docs_dict is None:
|
||||
try:
|
||||
type_settings = getattr(settings, self.type_name)
|
||||
self.name_docs_dict = {
|
||||
name: value_dict["documentation"]
|
||||
for name, value_dict in type_settings.items()
|
||||
}
|
||||
except AttributeError as exc:
|
||||
logger.error(exc)
|
||||
|
||||
self.name_docs_dict = {}
|
||||
return self.name_docs_dict
|
||||
|
||||
@property
|
||||
@abstractmethod
|
||||
def type_to_loader_dict(self) -> Dict:
|
||||
|
|
@ -83,7 +101,7 @@ class LangChainTypeCreator(BaseModel, ABC):
|
|||
|
||||
signature.add_extra_fields()
|
||||
signature.add_extra_base_classes()
|
||||
|
||||
signature.set_documentation(self.docs_map.get(name, ""))
|
||||
return signature
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,11 +1,12 @@
|
|||
import json
|
||||
from typing import Any, Callable, Dict, Sequence
|
||||
from typing import Any, Callable, Dict, Sequence, Type
|
||||
|
||||
from langchain.agents import ZeroShotAgent
|
||||
from langchain.agents import agent as agent_module
|
||||
from langchain.agents.agent import AgentExecutor
|
||||
from langchain.agents.agent_toolkits.base import BaseToolkit
|
||||
from langchain.agents.tools import BaseTool
|
||||
|
||||
from langflow.interface.initialize.vector_store import vecstore_initializer
|
||||
|
||||
from pydantic import ValidationError
|
||||
|
|
@ -16,6 +17,11 @@ from langflow.interface.toolkits.base import toolkits_creator
|
|||
from langflow.interface.chains.base import chain_creator
|
||||
from langflow.interface.utils import load_file_into_dict
|
||||
from langflow.utils import validate
|
||||
from langchain.chains.base import Chain
|
||||
from langchain.vectorstores.base import VectorStore
|
||||
from langchain.document_loaders.base import BaseLoader
|
||||
from langchain.prompts.base import BasePromptTemplate
|
||||
from langflow.chat.config import ChatConfig
|
||||
|
||||
|
||||
def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
|
||||
|
|
@ -72,11 +78,22 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
|
|||
return instantiate_utility(node_type, class_object, params)
|
||||
elif base_type == "chains":
|
||||
return instantiate_chains(node_type, class_object, params)
|
||||
elif base_type == "llms":
|
||||
return instantiate_llm(node_type, class_object, params)
|
||||
else:
|
||||
return class_object(**params)
|
||||
|
||||
|
||||
def instantiate_chains(node_type, class_object, params):
|
||||
def instantiate_llm(node_type, class_object, params: Dict):
|
||||
# This is a workaround so JinaChat works until streaming is implemented
|
||||
# if "openai_api_base" in params and "jina" in params["openai_api_base"]:
|
||||
# False if condition is True
|
||||
ChatConfig.streaming = "jina" not in params.get("openai_api_base", "")
|
||||
|
||||
return class_object(**params)
|
||||
|
||||
|
||||
def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
|
||||
if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
|
||||
params["retriever"] = params["retriever"].as_retriever()
|
||||
if node_type in chain_creator.from_method_nodes:
|
||||
|
|
@ -88,11 +105,11 @@ def instantiate_chains(node_type, class_object, params):
|
|||
return class_object(**params)
|
||||
|
||||
|
||||
def instantiate_agent(class_object, params):
|
||||
def instantiate_agent(class_object: Type[agent_module.Agent], params: Dict):
|
||||
return load_agent_executor(class_object, params)
|
||||
|
||||
|
||||
def instantiate_prompt(node_type, class_object, params):
|
||||
def instantiate_prompt(node_type, class_object: Type[BasePromptTemplate], params: Dict):
|
||||
if node_type == "ZeroShotPrompt":
|
||||
if "tools" not in params:
|
||||
params["tools"] = []
|
||||
|
|
@ -100,7 +117,7 @@ def instantiate_prompt(node_type, class_object, params):
|
|||
return class_object(**params)
|
||||
|
||||
|
||||
def instantiate_tool(node_type, class_object, params):
|
||||
def instantiate_tool(node_type, class_object: Type[BaseTool], params: Dict):
|
||||
if node_type == "JsonSpec":
|
||||
params["dict_"] = load_file_into_dict(params.pop("path"))
|
||||
return class_object(**params)
|
||||
|
|
@ -118,7 +135,7 @@ def instantiate_tool(node_type, class_object, params):
|
|||
return class_object(**params)
|
||||
|
||||
|
||||
def instantiate_toolkit(node_type, class_object, params):
|
||||
def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict):
|
||||
loaded_toolkit = class_object(**params)
|
||||
# Commenting this out for now to use toolkits as normal tools
|
||||
# if toolkits_creator.has_create_function(node_type):
|
||||
|
|
@ -128,7 +145,7 @@ def instantiate_toolkit(node_type, class_object, params):
|
|||
return loaded_toolkit
|
||||
|
||||
|
||||
def instantiate_embedding(class_object, params):
|
||||
def instantiate_embedding(class_object, params: Dict):
|
||||
params.pop("model", None)
|
||||
params.pop("headers", None)
|
||||
try:
|
||||
|
|
@ -142,7 +159,7 @@ def instantiate_embedding(class_object, params):
|
|||
return class_object(**params)
|
||||
|
||||
|
||||
def instantiate_vectorstore(class_object, params):
|
||||
def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict):
|
||||
search_kwargs = params.pop("search_kwargs", {})
|
||||
if initializer := vecstore_initializer.get(class_object.__name__):
|
||||
vecstore = initializer(class_object, params)
|
||||
|
|
@ -158,7 +175,7 @@ def instantiate_vectorstore(class_object, params):
|
|||
return vecstore
|
||||
|
||||
|
||||
def instantiate_documentloader(class_object, params):
|
||||
def instantiate_documentloader(class_object: Type[BaseLoader], params: Dict):
|
||||
if "file_filter" in params:
|
||||
# file_filter will be a string but we need a function
|
||||
# that will be used to filter the files using file_filter
|
||||
|
|
@ -187,19 +204,29 @@ def instantiate_documentloader(class_object, params):
|
|||
return docs
|
||||
|
||||
|
||||
def instantiate_textsplitter(class_object, params):
|
||||
def instantiate_textsplitter(
|
||||
class_object,
|
||||
params: Dict,
|
||||
):
|
||||
try:
|
||||
documents = params.pop("documents")
|
||||
except KeyError as e:
|
||||
except KeyError as exc:
|
||||
raise ValueError(
|
||||
"The source you provided did not load correctly or was empty."
|
||||
"Try changing the chunk_size of the Text Splitter."
|
||||
) from e
|
||||
text_splitter = class_object(**params)
|
||||
) from exc
|
||||
|
||||
if "separator_type" in params and params["separator_type"] == "Text":
|
||||
text_splitter = class_object(**params)
|
||||
else:
|
||||
params["language"] = params.pop("separator_type", None)
|
||||
params.pop("separators", None)
|
||||
text_splitter = class_object.from_language(**params)
|
||||
|
||||
return text_splitter.split_documents(documents)
|
||||
|
||||
|
||||
def instantiate_utility(node_type, class_object, params):
|
||||
def instantiate_utility(node_type, class_object, params: Dict):
|
||||
if node_type == "SQLDatabase":
|
||||
return class_object.from_uri(params.pop("uri"))
|
||||
return class_object(**params)
|
||||
|
|
|
|||
|
|
@ -4,9 +4,12 @@ import os
|
|||
from io import BytesIO
|
||||
import re
|
||||
|
||||
|
||||
import yaml
|
||||
from langchain.base_language import BaseLanguageModel
|
||||
from PIL.Image import Image
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.chat.config import ChatConfig
|
||||
|
||||
|
||||
def load_file_into_dict(file_path: str) -> dict:
|
||||
|
|
@ -48,9 +51,9 @@ def try_setting_streaming_options(langchain_object, websocket):
|
|||
|
||||
if isinstance(llm, BaseLanguageModel):
|
||||
if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
|
||||
llm.streaming = True
|
||||
llm.streaming = ChatConfig.streaming
|
||||
elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
|
||||
llm.stream = True
|
||||
llm.stream = ChatConfig.streaming
|
||||
|
||||
return langchain_object
|
||||
|
||||
|
|
@ -58,3 +61,22 @@ def try_setting_streaming_options(langchain_object, websocket):
|
|||
def extract_input_variables_from_prompt(prompt: str) -> list[str]:
|
||||
"""Extract input variables from prompt."""
|
||||
return re.findall(r"{(.*?)}", prompt)
|
||||
|
||||
|
||||
def setup_llm_caching():
|
||||
"""Setup LLM caching."""
|
||||
|
||||
try:
|
||||
import langchain
|
||||
from langflow.settings import settings
|
||||
from langflow.interface.importing.utils import import_class
|
||||
|
||||
cache_class = import_class(f"langchain.cache.{settings.cache}")
|
||||
|
||||
logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
|
||||
langchain.llm_cache = cache_class()
|
||||
logger.info(f"LLM caching setup with {cache_class.__name__}")
|
||||
except ImportError:
|
||||
logger.warning(f"Could not import {settings.cache}. ")
|
||||
except Exception as exc:
|
||||
logger.warning(f"Could not setup LLM caching. Error: {exc}")
|
||||
|
|
|
|||
|
|
@ -1,8 +1,13 @@
|
|||
from pathlib import Path
|
||||
from typing import Optional
|
||||
from fastapi import FastAPI
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import FileResponse
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
|
||||
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 +33,43 @@ def create_app():
|
|||
|
||||
app.include_router(router)
|
||||
app.on_event("startup")(create_db_and_tables)
|
||||
app.on_event("startup")(setup_llm_caching)
|
||||
return app
|
||||
|
||||
|
||||
def setup_static_files(app: FastAPI, static_files_dir: Path):
|
||||
"""
|
||||
Setup the static files directory.
|
||||
Args:
|
||||
app (FastAPI): FastAPI app.
|
||||
path (str): Path to the static files directory.
|
||||
"""
|
||||
app.mount(
|
||||
"/",
|
||||
StaticFiles(directory=static_files_dir, html=True),
|
||||
name="static",
|
||||
)
|
||||
|
||||
@app.exception_handler(404)
|
||||
async def custom_404_handler(request, __):
|
||||
path = static_files_dir / "index.html"
|
||||
|
||||
if not path.exists():
|
||||
raise RuntimeError(f"File at path {path} does not exist.")
|
||||
return FileResponse(path)
|
||||
|
||||
|
||||
# app = create_app()
|
||||
# setup_static_files(app, static_files_dir)
|
||||
def setup_app(static_files_dir: Optional[Path]) -> FastAPI:
|
||||
"""Setup the FastAPI app."""
|
||||
# get the directory of the current file
|
||||
if not static_files_dir:
|
||||
frontend_path = Path(__file__).parent
|
||||
static_files_dir = frontend_path / "frontend"
|
||||
|
||||
app = create_app()
|
||||
setup_static_files(app, static_files_dir)
|
||||
return app
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,26 +1,26 @@
|
|||
import os
|
||||
from typing import List
|
||||
|
||||
import yaml
|
||||
from pydantic import BaseSettings, root_validator
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
chains: List[str] = []
|
||||
agents: List[str] = []
|
||||
prompts: List[str] = []
|
||||
llms: List[str] = []
|
||||
tools: List[str] = []
|
||||
memories: List[str] = []
|
||||
embeddings: List[str] = []
|
||||
vectorstores: List[str] = []
|
||||
documentloaders: List[str] = []
|
||||
wrappers: List[str] = []
|
||||
toolkits: List[str] = []
|
||||
textsplitters: List[str] = []
|
||||
utilities: List[str] = []
|
||||
chains: dict = {}
|
||||
agents: dict = {}
|
||||
prompts: dict = {}
|
||||
llms: dict = {}
|
||||
tools: dict = {}
|
||||
memories: dict = {}
|
||||
embeddings: dict = {}
|
||||
vectorstores: dict = {}
|
||||
documentloaders: dict = {}
|
||||
wrappers: dict = {}
|
||||
toolkits: dict = {}
|
||||
textsplitters: dict = {}
|
||||
utilities: dict = {}
|
||||
dev: bool = False
|
||||
database_url: str = "sqlite:///./langflow.db"
|
||||
cache: str = "InMemoryCache"
|
||||
remove_api_keys: bool = False
|
||||
|
||||
class Config:
|
||||
|
|
@ -37,16 +37,16 @@ class Settings(BaseSettings):
|
|||
|
||||
def update_from_yaml(self, file_path: str, dev: bool = False):
|
||||
new_settings = load_settings_from_yaml(file_path)
|
||||
self.chains = new_settings.chains or []
|
||||
self.agents = new_settings.agents or []
|
||||
self.prompts = new_settings.prompts or []
|
||||
self.llms = new_settings.llms or []
|
||||
self.tools = new_settings.tools or []
|
||||
self.memories = new_settings.memories or []
|
||||
self.wrappers = new_settings.wrappers or []
|
||||
self.toolkits = new_settings.toolkits or []
|
||||
self.textsplitters = new_settings.textsplitters or []
|
||||
self.utilities = new_settings.utilities or []
|
||||
self.chains = new_settings.chains or {}
|
||||
self.agents = new_settings.agents or {}
|
||||
self.prompts = new_settings.prompts or {}
|
||||
self.llms = new_settings.llms or {}
|
||||
self.tools = new_settings.tools or {}
|
||||
self.memories = new_settings.memories or {}
|
||||
self.wrappers = new_settings.wrappers or {}
|
||||
self.toolkits = new_settings.toolkits or {}
|
||||
self.textsplitters = new_settings.textsplitters or {}
|
||||
self.utilities = new_settings.utilities or {}
|
||||
self.dev = dev
|
||||
|
||||
def update_settings(self, **kwargs):
|
||||
|
|
|
|||
|
|
@ -21,6 +21,7 @@ class TemplateFieldCreator(BaseModel, ABC):
|
|||
name: str = ""
|
||||
display_name: Optional[str] = None
|
||||
advanced: bool = False
|
||||
info: Optional[str] = ""
|
||||
|
||||
def to_dict(self):
|
||||
result = self.dict()
|
||||
|
|
|
|||
|
|
@ -15,14 +15,21 @@ class FrontendNode(BaseModel):
|
|||
base_classes: List[str]
|
||||
name: str = ""
|
||||
display_name: str = ""
|
||||
documentation: str = ""
|
||||
|
||||
def set_documentation(self, documentation: str) -> None:
|
||||
"""Sets the documentation of the frontend node."""
|
||||
self.documentation = documentation
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
"""Returns a dict representation of the frontend node."""
|
||||
return {
|
||||
self.name: {
|
||||
"template": self.template.to_dict(self.format_field),
|
||||
"description": self.description,
|
||||
"base_classes": self.base_classes,
|
||||
"display_name": self.display_name or self.name,
|
||||
"documentation": self.documentation,
|
||||
},
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -32,3 +32,13 @@ You are a good listener and you can talk about anything.
|
|||
HUMAN_PROMPT = "{input}"
|
||||
|
||||
QA_CHAIN_TYPES = ["stuff", "map_reduce", "map_rerank", "refine"]
|
||||
|
||||
|
||||
# This variable is used to tell the user
|
||||
# that it can be changed to use other APIs
|
||||
# like Prem and LocalAI
|
||||
OPENAI_API_BASE_INFO = """
|
||||
The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.
|
||||
|
||||
You can change this to use other APIs like JinaChat, LocalAI and Prem.
|
||||
"""
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ from typing import Optional
|
|||
|
||||
from langflow.template.field.base import TemplateField
|
||||
from langflow.template.frontend_node.base import FrontendNode
|
||||
from langflow.template.frontend_node.constants import OPENAI_API_BASE_INFO
|
||||
|
||||
|
||||
class LLMFrontendNode(FrontendNode):
|
||||
|
|
@ -15,6 +16,9 @@ class LLMFrontendNode(FrontendNode):
|
|||
if "key" not in field.name.lower() and "token" not in field.name.lower():
|
||||
field.password = False
|
||||
|
||||
if field.name == "openai_api_base":
|
||||
field.info = OPENAI_API_BASE_INFO
|
||||
|
||||
@staticmethod
|
||||
def format_azure_field(field: TemplateField):
|
||||
if field.name == "model_name":
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
from langflow.template.field.base import TemplateField
|
||||
from langflow.template.frontend_node.base import FrontendNode
|
||||
from langchain.text_splitter import Language
|
||||
|
||||
|
||||
class TextSplittersFrontendNode(FrontendNode):
|
||||
|
|
@ -17,6 +18,22 @@ class TextSplittersFrontendNode(FrontendNode):
|
|||
name = "separator"
|
||||
elif self.template.type_name == "RecursiveCharacterTextSplitter":
|
||||
name = "separators"
|
||||
# Add a field for type of separator
|
||||
# which will have Text or any value from the
|
||||
# Language enum
|
||||
self.template.add_field(
|
||||
TemplateField(
|
||||
field_type="str",
|
||||
required=True,
|
||||
show=True,
|
||||
name="separator_type",
|
||||
advanced=False,
|
||||
is_list=True,
|
||||
options=[x.value for x in Language],
|
||||
value="Text",
|
||||
display_name="Separator Type",
|
||||
)
|
||||
)
|
||||
self.template.add_field(
|
||||
TemplateField(
|
||||
field_type="str",
|
||||
|
|
|
|||
|
|
@ -200,7 +200,7 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
self.template.add_field(field)
|
||||
|
||||
def add_extra_base_classes(self) -> None:
|
||||
self.base_classes.append("BaseRetriever")
|
||||
self.base_classes.extend(("BaseRetriever", "VectorStoreRetriever"))
|
||||
|
||||
@staticmethod
|
||||
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
|
||||
|
|
|
|||
|
|
@ -25,6 +25,7 @@ import { nodeColors } from "../../../../utils";
|
|||
import ShadTooltip from "../../../../components/ShadTooltipComponent";
|
||||
import { PopUpContext } from "../../../../contexts/popUpContext";
|
||||
import ToggleShadComponent from "../../../../components/toggleShadComponent";
|
||||
import { Info } from "lucide-react";
|
||||
|
||||
export default function ParameterComponent({
|
||||
left,
|
||||
|
|
@ -36,9 +37,11 @@ export default function ParameterComponent({
|
|||
type,
|
||||
name = "",
|
||||
required = false,
|
||||
info = "",
|
||||
}: ParameterComponentType) {
|
||||
const ref = useRef(null);
|
||||
const refHtml = useRef(null);
|
||||
const infoHtml = useRef(null);
|
||||
const updateNodeInternals = useUpdateNodeInternals();
|
||||
const [position, setPosition] = useState(0);
|
||||
const { closePopUp } = useContext(PopUpContext);
|
||||
|
|
@ -79,6 +82,18 @@ export default function ParameterComponent({
|
|||
});
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
infoHtml.current = (
|
||||
<div className="h-full w-full break-words">
|
||||
{info.split("\n").map((line, i) => (
|
||||
<p key={i} className="block">
|
||||
{line}
|
||||
</p>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}, [info]);
|
||||
|
||||
useEffect(() => {
|
||||
const groupedObj = groupByFamily(myData, tooltipTitle);
|
||||
|
||||
|
|
@ -126,8 +141,25 @@ export default function ParameterComponent({
|
|||
className="w-full flex flex-wrap justify-between items-center bg-muted dark:bg-gray-800 dark:text-white mt-1 px-5 py-2"
|
||||
>
|
||||
<>
|
||||
<div className={"text-sm truncate w-full " + (left ? "" : "text-end")}>
|
||||
<div
|
||||
className={
|
||||
"text-sm truncate w-full" +
|
||||
(left ? "" : " text-end") +
|
||||
(info !== "" ? " flex items-center" : "")
|
||||
}
|
||||
>
|
||||
{title}
|
||||
<div className="">
|
||||
{info !== "" && (
|
||||
<ShadTooltip
|
||||
open={true}
|
||||
delayDuration={500}
|
||||
content={infoHtml.current}
|
||||
>
|
||||
<Info className="ml-2 relative bottom-0.5 w-3 h-3" />
|
||||
</ShadTooltip>
|
||||
)}
|
||||
</div>
|
||||
<span className="text-red-600">{required ? " *" : ""}</span>
|
||||
</div>
|
||||
{left &&
|
||||
|
|
|
|||
|
|
@ -6,16 +6,7 @@ import {
|
|||
} from "../../utils";
|
||||
import ParameterComponent from "./components/parameterComponent";
|
||||
import { typesContext } from "../../contexts/typesContext";
|
||||
import {
|
||||
useContext,
|
||||
useState,
|
||||
useEffect,
|
||||
useRef,
|
||||
ForwardRefExoticComponent,
|
||||
ComponentType,
|
||||
SVGProps,
|
||||
ReactNode,
|
||||
} from "react";
|
||||
import { useContext, useState, useEffect, useRef } from "react";
|
||||
import { NodeDataType } from "../../types/flow";
|
||||
import { alertContext } from "../../contexts/alertContext";
|
||||
import { PopUpContext } from "../../contexts/popUpContext";
|
||||
|
|
@ -23,10 +14,9 @@ import NodeModal from "../../modals/NodeModal";
|
|||
import Tooltip from "../../components/TooltipComponent";
|
||||
import { NodeToolbar } from "reactflow";
|
||||
import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent";
|
||||
|
||||
import { FileText, Info } from "lucide-react";
|
||||
import ShadTooltip from "../../components/ShadTooltipComponent";
|
||||
import { useSSE } from "../../contexts/SSEContext";
|
||||
import { ReactElement } from "react-markdown/lib/react-markdown";
|
||||
|
||||
export default function GenericNode({
|
||||
data,
|
||||
|
|
@ -46,6 +36,7 @@ export default function GenericNode({
|
|||
const [validationStatus, setValidationStatus] = useState(null);
|
||||
// State for outline color
|
||||
const { sseData, isBuilding } = useSSE();
|
||||
const refHtml = useRef(null);
|
||||
|
||||
// useEffect(() => {
|
||||
// if (reactFlowInstance) {
|
||||
|
|
@ -79,6 +70,22 @@ export default function GenericNode({
|
|||
|
||||
useEffect(() => {}, [closePopUp, data.node.template]);
|
||||
|
||||
useEffect(() => {
|
||||
refHtml.current = (
|
||||
<div className="flex">
|
||||
<span>{`${data.node.display_name} Documentation`}</span>
|
||||
<span
|
||||
className="self-center"
|
||||
style={{
|
||||
color: nodeColors[types[data.type]] ?? nodeColors.unknown,
|
||||
}}
|
||||
>
|
||||
<FileText className="h-4 w-4 ml-2" />
|
||||
</span>
|
||||
</div>
|
||||
);
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<>
|
||||
<NodeToolbar>
|
||||
|
|
@ -103,7 +110,7 @@ export default function GenericNode({
|
|||
color: nodeColors[types[data.type]] ?? nodeColors.unknown,
|
||||
}}
|
||||
/>
|
||||
<div className="ml-2 truncate">
|
||||
<div className="ml-2 truncate flex">
|
||||
<ShadTooltip
|
||||
delayDuration={1500}
|
||||
content={data.node.display_name}
|
||||
|
|
@ -112,6 +119,29 @@ export default function GenericNode({
|
|||
{data.node.display_name}
|
||||
</div>
|
||||
</ShadTooltip>
|
||||
<div className="">
|
||||
{data.node.documentation !== "" && (
|
||||
<ShadTooltip
|
||||
open={true}
|
||||
delayDuration={1000}
|
||||
content={refHtml.current}
|
||||
>
|
||||
<a
|
||||
href={data.node.documentation}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
>
|
||||
<Info
|
||||
style={{
|
||||
color:
|
||||
nodeColors[types[data.type]] ?? nodeColors.unknown,
|
||||
}}
|
||||
className="ml-2 self-center w-4 h-4"
|
||||
/>
|
||||
</a>
|
||||
</ShadTooltip>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex gap-3">
|
||||
|
|
@ -214,6 +244,7 @@ export default function GenericNode({
|
|||
? toTitleCase(data.node.template[t].name)
|
||||
: toTitleCase(t)
|
||||
}
|
||||
info={data.node.template[t].info}
|
||||
name={t}
|
||||
tooltipTitle={data.node.template[t].type}
|
||||
required={data.node.template[t].required}
|
||||
|
|
|
|||
|
|
@ -198,10 +198,13 @@ export function TabsProvider({ children }: { children: ReactNode }) {
|
|||
edge.style = { stroke: "#555555" };
|
||||
});
|
||||
}
|
||||
|
||||
function updateDisplay_name(node: NodeType, template: APIClassType) {
|
||||
node.data.node.display_name = template["display_name"]
|
||||
? template["display_name"]
|
||||
: node.data.type;
|
||||
node.data.node.display_name = template["display_name"] || node.data.type;
|
||||
}
|
||||
|
||||
function updateNodeDocumentation(node: NodeType, template: APIClassType) {
|
||||
node.data.node.documentation = template["documentation"];
|
||||
}
|
||||
|
||||
function processFlowNodes(flow) {
|
||||
|
|
@ -218,6 +221,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
|
|||
updateNodeEdges(flow, node, template);
|
||||
updateNodeDescription(node, template);
|
||||
updateNodeTemplate(node, template);
|
||||
updateNodeDocumentation(node, template);
|
||||
}
|
||||
});
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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} />;
|
||||
});
|
||||
|
|
|
|||
|
|
@ -12,6 +12,7 @@ export type APIClassType = {
|
|||
description: string;
|
||||
template: APITemplateType;
|
||||
display_name: string;
|
||||
documentation: string;
|
||||
[key: string]: Array<string> | string | APITemplateType;
|
||||
};
|
||||
export type TemplateVariableType = {
|
||||
|
|
|
|||
|
|
@ -1,10 +1,4 @@
|
|||
import {
|
||||
ComponentType,
|
||||
ForwardRefExoticComponent,
|
||||
ReactElement,
|
||||
ReactNode,
|
||||
SVGProps,
|
||||
} from "react";
|
||||
import { ReactElement, ReactNode } from "react";
|
||||
import { NodeDataType } from "../flow/index";
|
||||
import { typesContextType } from "../typesContext";
|
||||
export type InputComponentType = {
|
||||
|
|
@ -41,6 +35,7 @@ export type ParameterComponentType = {
|
|||
name?: string;
|
||||
tooltipTitle: string;
|
||||
dataContext?: typesContextType;
|
||||
info?: string;
|
||||
};
|
||||
export type InputListComponentType = {
|
||||
value: string[];
|
||||
|
|
|
|||
|
|
@ -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>>
|
||||
>,
|
||||
|
|
|
|||
|
|
@ -88,85 +88,6 @@ def test_prompt_template(client: TestClient):
|
|||
}
|
||||
|
||||
|
||||
def test_few_shot_prompt_template(client: TestClient):
|
||||
response = client.get("api/v1/all")
|
||||
assert response.status_code == 200
|
||||
json_response = response.json()
|
||||
prompts = json_response["prompts"]
|
||||
|
||||
prompt = prompts["FewShotPromptTemplate"]
|
||||
template = prompt["template"]
|
||||
# Test other fields in the template similar to PromptTemplate
|
||||
assert template["examples"] == {
|
||||
"required": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": True,
|
||||
"password": False,
|
||||
"name": "examples",
|
||||
"type": "prompt",
|
||||
"list": True,
|
||||
"advanced": False,
|
||||
}
|
||||
assert template["example_selector"] == {
|
||||
"required": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
"password": False,
|
||||
"name": "example_selector",
|
||||
"type": "BaseExampleSelector",
|
||||
"list": False,
|
||||
"advanced": False,
|
||||
}
|
||||
assert template["example_prompt"] == {
|
||||
"required": True,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
"password": False,
|
||||
"name": "example_prompt",
|
||||
"type": "PromptTemplate",
|
||||
"list": False,
|
||||
"advanced": False,
|
||||
}
|
||||
assert template["suffix"] == {
|
||||
"required": True,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": True,
|
||||
"password": False,
|
||||
"name": "suffix",
|
||||
"type": "prompt",
|
||||
"list": False,
|
||||
"advanced": False,
|
||||
}
|
||||
assert template["example_separator"] == {
|
||||
"required": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
"value": "\n\n",
|
||||
"password": False,
|
||||
"name": "example_separator",
|
||||
"type": "str",
|
||||
"list": False,
|
||||
"advanced": False,
|
||||
}
|
||||
assert template["prefix"] == {
|
||||
"required": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": True,
|
||||
"value": "",
|
||||
"password": False,
|
||||
"name": "prefix",
|
||||
"type": "prompt",
|
||||
"list": False,
|
||||
"advanced": False,
|
||||
}
|
||||
|
||||
|
||||
def test_zero_shot_prompt(client: TestClient):
|
||||
response = client.get("api/v1/all")
|
||||
assert response.status_code == 200
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue