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merge fix

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cristhianzl 2024-03-29 21:56:59 -03:00
commit c3ff98c499
40 changed files with 480 additions and 317 deletions
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2
.vscode/launch.json vendored
View file

@ -16,7 +16,7 @@
"debug"
],
"jinja": true,
"justMyCode": true,
"justMyCode": false,
"env": {
"LANGFLOW_LOG_LEVEL": "debug"
},

442
poetry.lock generated
View file

@ -455,17 +455,17 @@ files = [
[[package]]
name = "boto3"
version = "1.34.72"
version = "1.34.74"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
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{file = "boto3-1.34.72.tar.gz", hash = "sha256:cbfabd99c113bbb1708c2892e864b6dd739593b97a76fbb2e090a7d965b63b82"},
{file = "boto3-1.34.74-py3-none-any.whl", hash = "sha256:71f551491fb12fe07727d371d5561c5919fdf33dbc1d4251c57940d267a53a9e"},
{file = "boto3-1.34.74.tar.gz", hash = "sha256:b703e22775561a748adc4576c30424b81abd2a00d3c6fb28eec2e5cde92c1eed"},
]
[package.dependencies]
botocore = ">=1.34.72,<1.35.0"
botocore = ">=1.34.74,<1.35.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@ -474,13 +474,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
version = "1.34.72"
version = "1.34.74"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
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{file = "botocore-1.34.72.tar.gz", hash = "sha256:342edb6f91d5839e790411822fc39f9c712c87cdaa7f3b1999f50b1ca16c4a14"},
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]
[package.dependencies]
@ -583,35 +583,21 @@ files = [
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]
[[package]]
name = "bs4"
version = "0.0.2"
description = "Dummy package for Beautiful Soup (beautifulsoup4)"
optional = false
python-versions = "*"
files = [
{file = "bs4-0.0.2-py2.py3-none-any.whl", hash = "sha256:abf8742c0805ef7f662dce4b51cca104cffe52b835238afc169142ab9b3fbccc"},
{file = "bs4-0.0.2.tar.gz", hash = "sha256:a48685c58f50fe127722417bae83fe6badf500d54b55f7e39ffe43b798653925"},
]
[package.dependencies]
beautifulsoup4 = "*"
[[package]]
name = "build"
version = "1.1.1"
version = "1.2.1"
description = "A simple, correct Python build frontend"
optional = false
python-versions = ">=3.8"
files = [
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{file = "build-1.1.1.tar.gz", hash = "sha256:8eea65bb45b1aac2e734ba2cc8dad3a6d97d97901a395bd0ed3e7b46953d2a31"},
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{file = "build-1.2.1.tar.gz", hash = "sha256:526263f4870c26f26c433545579475377b2b7588b6f1eac76a001e873ae3e19d"},
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[package.dependencies]
colorama = {version = "*", markers = "os_name == \"nt\""}
importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
packaging = ">=19.0"
packaging = ">=19.1"
pyproject_hooks = "*"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
@ -1143,22 +1129,22 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
[[package]]
name = "cohere"
version = "4.57"
description = "Python SDK for the Cohere API"
version = "5.1.7"
description = ""
optional = false
python-versions = ">=3.8,<4.0"
python-versions = "<4.0,>=3.8"
files = [
{file = "cohere-4.57-py3-none-any.whl", hash = "sha256:479bdea81ae119e53f671f1ae808fcff9df88211780525d7ef2f7b99dfb32e59"},
{file = "cohere-4.57.tar.gz", hash = "sha256:71ace0204a92d1a2a8d4b949b88b353b4f22fc645486851924284cc5a0eb700d"},
{file = "cohere-5.1.7-py3-none-any.whl", hash = "sha256:66e149425ba10d9d6ed2980ad869afae2ed79b1f4c375f215ff4953f389cf5f9"},
{file = "cohere-5.1.7.tar.gz", hash = "sha256:5b5ba38e614313d96f4eb362046a3470305e57119e39538afa3220a27614ba15"},
]
[package.dependencies]
aiohttp = ">=3.0,<4.0"
backoff = ">=2.0,<3.0"
fastavro = ">=1.8,<2.0"
importlib_metadata = ">=6.0,<7.0"
requests = ">=2.25.0,<3.0.0"
urllib3 = ">=1.26,<3"
fastavro = ">=1.9.4,<2.0.0"
httpx = ">=0.21.2"
pydantic = ">=1.9.2"
requests = ">=2.31.0,<3.0.0"
types-requests = ">=2.31.0.20240311,<3.0.0.0"
typing_extensions = ">=4.0.0"
[[package]]
name = "colorama"
@ -2574,13 +2560,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
[[package]]
name = "google-api-python-client"
version = "2.123.0"
version = "2.124.0"
description = "Google API Client Library for Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-api-python-client-2.123.0.tar.gz", hash = "sha256:a17226b02f71de581afe045437b441844110a9cd91580b73549d41108cf1b9f0"},
{file = "google_api_python_client-2.123.0-py2.py3-none-any.whl", hash = "sha256:1c2bcaa846acf5bac4d6f244d8373d4de9de73d64eb6e77b56767ab4cf681419"},
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{file = "google_api_python_client-2.124.0-py2.py3-none-any.whl", hash = "sha256:07dc674449ed353704b1169fdee792f74438d024261dad71b6ce7bb9c683d51f"},
]
[package.dependencies]
@ -2630,19 +2616,20 @@ httplib2 = ">=0.19.0"
[[package]]
name = "google-generativeai"
version = "0.3.2"
version = "0.4.1"
description = "Google Generative AI High level API client library and tools."
optional = false
python-versions = ">=3.9"
files = [
{file = "google_generativeai-0.3.2-py3-none-any.whl", hash = "sha256:8761147e6e167141932dc14a7b7af08f2310dd56668a78d206c19bb8bd85bcd7"},
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]
[package.dependencies]
google-ai-generativelanguage = "0.4.0"
google-api-core = "*"
google-auth = "*"
google-auth = ">=2.15.0"
protobuf = "*"
pydantic = "*"
tqdm = "*"
typing-extensions = "*"
@ -3766,6 +3753,21 @@ astrapy = ">=0.7.7,<0.8.0"
langchain-core = ">=0.1.31,<0.2.0"
numpy = ">=1,<2"
[[package]]
name = "langchain-cohere"
version = "0.1.0rc1"
description = "An integration package connecting Cohere and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_cohere-0.1.0rc1-py3-none-any.whl", hash = "sha256:698ee4e889169c1115bc2b0992c152aafd574030e6ea18238dd6b5d034733c64"},
{file = "langchain_cohere-0.1.0rc1.tar.gz", hash = "sha256:cc91b33cc5c6cb8d04c12034366c52b94798313d4503b776de9345e7261e8d15"},
]
[package.dependencies]
cohere = ">=5.1.4,<6.0.0"
langchain-core = ">=0.1.32,<0.2.0"
[[package]]
name = "langchain-community"
version = "0.0.29"
@ -3794,13 +3796,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
[[package]]
name = "langchain-core"
version = "0.1.35"
version = "0.1.36"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_core-0.1.35-py3-none-any.whl", hash = "sha256:9d790446ea211f4cb620886081cc5a5723bc9a2dc90af1f6205aded2ee61bb71"},
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{file = "langchain_core-0.1.36-py3-none-any.whl", hash = "sha256:564beeb18ab13deca8daf6e6e74acab52e0b8f6202110262a4c914e4450febd2"},
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]
[package.dependencies]
@ -3835,17 +3837,17 @@ extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.
[[package]]
name = "langchain-google-genai"
version = "0.0.6"
version = "1.0.1"
description = "An integration package connecting Google's genai package and LangChain"
optional = false
python-versions = ">=3.9,<4.0"
python-versions = "<4.0,>=3.9"
files = [
{file = "langchain_google_genai-0.0.6-py3-none-any.whl", hash = "sha256:2e347ad4d18f8f761ed8d3997f9ea52b41f97b7fd81f698612ad718da5d9c13b"},
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{file = "langchain_google_genai-1.0.1-py3-none-any.whl", hash = "sha256:c59e7f49b3afb3d6d25366f83d47319e6825c8f0a9b95f4a591687dcb18862c0"},
{file = "langchain_google_genai-1.0.1.tar.gz", hash = "sha256:43b80ed2fbae3495381a4ed9d3978067c467fd5e5cf123aeaed79a9998b6e54a"},
]
[package.dependencies]
google-generativeai = ">=0.3.1,<0.4.0"
google-generativeai = ">=0.4.1,<0.5.0"
langchain-core = ">=0.1,<0.2"
[package.extras]
@ -3885,23 +3887,6 @@ langchain-core = ">=0.1.28,<0.2.0"
[package.extras]
extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-text-splitters"
version = "0.0.1"
description = "LangChain text splitting utilities"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"},
{file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"},
]
[package.dependencies]
langchain-core = ">=0.1.28,<0.2.0"
[package.extras]
extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
[[package]]
name = "langdetect"
version = "1.0.9"
@ -4001,13 +3986,13 @@ openai = ["openai (>=0.27.8)"]
[[package]]
name = "langsmith"
version = "0.1.34"
version = "0.1.38"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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]
[package.dependencies]
@ -4056,19 +4041,19 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
[[package]]
name = "llama-index"
version = "0.10.24"
version = "0.10.25"
description = "Interface between LLMs and your data"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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{file = "llama_index-0.10.25.tar.gz", hash = "sha256:1266dc66b3a9823416f8ad516af21297434fce1344f75de318ddb63aed952abd"},
]
[package.dependencies]
llama-index-agent-openai = ">=0.1.4,<0.2.0"
llama-index-agent-openai = ">=0.1.4,<0.3.0"
llama-index-cli = ">=0.1.2,<0.2.0"
llama-index-core = ">=0.10.24,<0.11.0"
llama-index-core = ">=0.10.25,<0.11.0"
llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
llama-index-legacy = ">=0.9.48,<0.10.0"
@ -4081,13 +4066,13 @@ llama-index-readers-llama-parse = ">=0.1.2,<0.2.0"
[[package]]
name = "llama-index-agent-openai"
version = "0.1.7"
version = "0.2.1"
description = "llama-index agent openai integration"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "llama_index_agent_openai-0.1.7-py3-none-any.whl", hash = "sha256:6764d385699f4f40ee34bcd88309c820e9e71aa9675a4bde26d4f625d79190a8"},
{file = "llama_index_agent_openai-0.1.7.tar.gz", hash = "sha256:6962f02e94c097c6a823dad494568e62b83f4218eb852ef0dce90bd3ffb10406"},
{file = "llama_index_agent_openai-0.2.1-py3-none-any.whl", hash = "sha256:0127414bd0afcdd2eb5f7f97dc9693653ca435160fd09af83ac67fb3b07bf991"},
{file = "llama_index_agent_openai-0.2.1.tar.gz", hash = "sha256:c9d0a2c43d2f752b80f7d3dd7e56e112c49dddbd06974973153cfdb9374b62b4"},
]
[package.dependencies]
@ -4112,13 +4097,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
[[package]]
name = "llama-index-core"
version = "0.10.25"
version = "0.10.25.post3"
description = "Interface between LLMs and your data"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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{file = "llama_index_core-0.10.25.tar.gz", hash = "sha256:407813e4247704d3cf0957cec772889507e26692d52679a155e22f26efc6aa1b"},
{file = "llama_index_core-0.10.25.post3-py3-none-any.whl", hash = "sha256:b402ea2489175541b1c73e01ab5f33e504a70bc7acee31ba4ad2c80cf265ad88"},
{file = "llama_index_core-0.10.25.post3.tar.gz", hash = "sha256:32554c73cbb17d7b5c81fa469951c863939f221bcba31f606a458274b0fc11d7"},
]
[package.dependencies]
@ -4144,6 +4129,7 @@ tiktoken = ">=0.3.3"
tqdm = ">=4.66.1,<5.0.0"
typing-extensions = ">=4.5.0"
typing-inspect = ">=0.8.0"
wrapt = "*"
[package.extras]
gradientai = ["gradientai (>=1.4.0)"]
@ -4223,13 +4209,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
[[package]]
name = "llama-index-llms-openai"
version = "0.1.13"
version = "0.1.14"
description = "llama-index llms openai integration"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "llama_index_llms_openai-0.1.13-py3-none-any.whl", hash = "sha256:84b7f2d1699d882d6a92f7e8a8b203701e9a32e42924e01bccabddbe9955d3f7"},
{file = "llama_index_llms_openai-0.1.13.tar.gz", hash = "sha256:c0fd932255ac9bf72b6b02c3811eebbf3431aa7603aeaab31c811547f444b1ca"},
{file = "llama_index_llms_openai-0.1.14-py3-none-any.whl", hash = "sha256:13cec467962a6ccb9e63451c7febe8e9c2ed536bd6b1058239c2b4fd86776060"},
{file = "llama_index_llms_openai-0.1.14.tar.gz", hash = "sha256:7eba66882ae84fa42b188941234b84267c48e449ef214f511756dcad3f9f0b62"},
]
[package.dependencies]
@ -4284,18 +4270,17 @@ llama-index-program-openai = ">=0.1.1,<0.2.0"
[[package]]
name = "llama-index-readers-file"
version = "0.1.12"
version = "0.1.13"
description = "llama-index readers file integration"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "llama_index_readers_file-0.1.12-py3-none-any.whl", hash = "sha256:029eecb9371c6c621cce026fa987212a55160c6cceafef5f470366ec410cc148"},
{file = "llama_index_readers_file-0.1.12.tar.gz", hash = "sha256:6065cbf80b0fb5d189558b8b90adbbdc92acb86147fca192d88fcc2704ad2af3"},
{file = "llama_index_readers_file-0.1.13-py3-none-any.whl", hash = "sha256:692988b8c3ca2807d21a171351078b634ada2ff1682ebe4a484f82da384dfc55"},
{file = "llama_index_readers_file-0.1.13.tar.gz", hash = "sha256:830f06ec7b34437fc3bb5f268d235c5c7640296adb148d8f92277dceb7f0846d"},
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[package.dependencies]
beautifulsoup4 = ">=4.12.3,<5.0.0"
bs4 = ">=0.0.2,<0.0.3"
llama-index-core = ">=0.10.1,<0.11.0"
pymupdf = ">=1.23.21,<2.0.0"
pypdf = ">=4.0.1,<5.0.0"
@ -4392,96 +4377,92 @@ dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptio
[[package]]
name = "lxml"
version = "5.1.0"
version = "5.1.1"
description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
optional = false
python-versions = ">=3.6"
files = [
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{file = "opentelemetry_instrumentation_fastapi-0.45b0.tar.gz", hash = "sha256:5a6b91e1c08a01601845fcfcfdefd0a2aecdb3c356d4a436a3210cb58c21487e"},
{file = "opentelemetry_instrumentation_fastapi-0.44b0-py3-none-any.whl", hash = "sha256:4441482944bea6676816668d56deb94af990e8c6e9582c581047e5d84c91d3c9"},
{file = "opentelemetry_instrumentation_fastapi-0.44b0.tar.gz", hash = "sha256:67ed10b93ad9d35238ae0be73cf8acbbb65a4a61fb7444d0aee5b0c492e294db"},
]
[package.dependencies]
opentelemetry-api = ">=1.12,<2.0"
opentelemetry-instrumentation = "0.45b0"
opentelemetry-instrumentation-asgi = "0.45b0"
opentelemetry-semantic-conventions = "0.45b0"
opentelemetry-util-http = "0.45b0"
opentelemetry-instrumentation = "0.44b0"
opentelemetry-instrumentation-asgi = "0.44b0"
opentelemetry-semantic-conventions = "0.44b0"
opentelemetry-util-http = "0.44b0"
[package.extras]
instruments = ["fastapi (>=0.58,<1.0)"]
test = ["httpx (>=0.22,<1.0)", "opentelemetry-instrumentation-fastapi[instruments]", "opentelemetry-test-utils (==0.44b0)", "requests (>=2.23,<3.0)"]
[[package]]
name = "opentelemetry-instrumentation-httpx"
@ -5638,13 +5621,13 @@ test = ["opentelemetry-instrumentation-httpx[instruments]", "opentelemetry-sdk (
[[package]]
name = "opentelemetry-proto"
version = "1.24.0"
version = "1.23.0"
description = "OpenTelemetry Python Proto"
optional = false
python-versions = ">=3.8"
files = [
{file = "opentelemetry_proto-1.24.0-py3-none-any.whl", hash = "sha256:bcb80e1e78a003040db71ccf83f2ad2019273d1e0828089d183b18a1476527ce"},
{file = "opentelemetry_proto-1.24.0.tar.gz", hash = "sha256:ff551b8ad63c6cabb1845ce217a6709358dfaba0f75ea1fa21a61ceddc78cab8"},
{file = "opentelemetry_proto-1.23.0-py3-none-any.whl", hash = "sha256:4c017deca052cb287a6003b7c989ed8b47af65baeb5d57ebf93dde0793f78509"},
{file = "opentelemetry_proto-1.23.0.tar.gz", hash = "sha256:e6aaf8b7ace8d021942d546161401b83eed90f9f2cc6f13275008cea730e4651"},
]
[package.dependencies]
@ -5652,40 +5635,40 @@ protobuf = ">=3.19,<5.0"
[[package]]
name = "opentelemetry-sdk"
version = "1.24.0"
version = "1.23.0"
description = "OpenTelemetry Python SDK"
optional = false
python-versions = ">=3.8"
files = [
{file = "opentelemetry_sdk-1.24.0-py3-none-any.whl", hash = "sha256:fa731e24efe832e98bcd90902085b359dcfef7d9c9c00eb5b9a18587dae3eb59"},
{file = "opentelemetry_sdk-1.24.0.tar.gz", hash = "sha256:75bc0563affffa827700e0f4f4a68e1e257db0df13372344aebc6f8a64cde2e5"},
{file = "opentelemetry_sdk-1.23.0-py3-none-any.whl", hash = "sha256:a93c96990ac0f07c6d679e2f1015864ff7a4f5587122dd5af968034436efb1fd"},
{file = "opentelemetry_sdk-1.23.0.tar.gz", hash = "sha256:9ddf60195837b59e72fd2033d6a47e2b59a0f74f0ec37d89387d89e3da8cab7f"},
]
[package.dependencies]
opentelemetry-api = "1.24.0"
opentelemetry-semantic-conventions = "0.45b0"
opentelemetry-api = "1.23.0"
opentelemetry-semantic-conventions = "0.44b0"
typing-extensions = ">=3.7.4"
[[package]]
name = "opentelemetry-semantic-conventions"
version = "0.45b0"
version = "0.44b0"
description = "OpenTelemetry Semantic Conventions"
optional = false
python-versions = ">=3.8"
files = [
{file = "opentelemetry_semantic_conventions-0.45b0-py3-none-any.whl", hash = "sha256:a4a6fb9a7bacd9167c082aa4681009e9acdbfa28ffb2387af50c2fef3d30c864"},
{file = "opentelemetry_semantic_conventions-0.45b0.tar.gz", hash = "sha256:7c84215a44ac846bc4b8e32d5e78935c5c43482e491812a0bb8aaf87e4d92118"},
{file = "opentelemetry_semantic_conventions-0.44b0-py3-none-any.whl", hash = "sha256:7c434546c9cbd797ab980cc88bf9ff3f4a5a28f941117cad21694e43d5d92019"},
{file = "opentelemetry_semantic_conventions-0.44b0.tar.gz", hash = "sha256:2e997cb28cd4ca81a25a9a43365f593d0c2b76be0685015349a89abdf1aa4ffa"},
]
[[package]]
name = "opentelemetry-util-http"
version = "0.45b0"
version = "0.44b0"
description = "Web util for OpenTelemetry"
optional = false
python-versions = ">=3.8"
files = [
{file = "opentelemetry_util_http-0.45b0-py3-none-any.whl", hash = "sha256:6628868b501b3004e1860f976f410eeb3d3499e009719d818000f24ce17b6e33"},
{file = "opentelemetry_util_http-0.45b0.tar.gz", hash = "sha256:4ce08b6a7d52dd7c96b7705b5b4f06fdb6aa3eac1233b3b0bfef8a0cab9a92cd"},
{file = "opentelemetry_util_http-0.44b0-py3-none-any.whl", hash = "sha256:ff018ab6a2fa349537ff21adcef99a294248b599be53843c44f367aef6bccea5"},
{file = "opentelemetry_util_http-0.44b0.tar.gz", hash = "sha256:75896dffcbbeb5df5429ad4526e22307fc041a27114e0c5bfd90bb219381e68f"},
]
[[package]]
@ -6604,13 +6587,13 @@ pyasn1 = ">=0.4.6,<0.7.0"
[[package]]
name = "pyautogen"
version = "0.2.20"
version = "0.2.21"
description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
optional = false
python-versions = "<3.13,>=3.8"
files = [
{file = "pyautogen-0.2.20-py3-none-any.whl", hash = "sha256:d03a3babf6482c3cfda5ad2cbe15e587e952a095582698453bf0ea0402eba168"},
{file = "pyautogen-0.2.20.tar.gz", hash = "sha256:a64f10c05f86a6a1fcec074bf0de51f2eecf787297f366e8e2fff33ab6d7fc77"},
{file = "pyautogen-0.2.21-py3-none-any.whl", hash = "sha256:64c8311d33599ad517e60fa63e125d67ac99dfc4a80790826b603df936b8e7fc"},
{file = "pyautogen-0.2.21.tar.gz", hash = "sha256:8b4fde51511d65ceb6e320e6a1d82c9d96684e3605c00ed17805abd8d90b1049"},
]
[package.dependencies]
@ -6634,8 +6617,9 @@ mathchat = ["pydantic (==1.10.9)", "sympy", "wolframalpha"]
redis = ["redis"]
retrievechat = ["chromadb", "ipython", "pypdf", "sentence-transformers"]
teachable = ["chromadb"]
test = ["coverage (>=5.3)", "ipykernel", "nbconvert", "nbformat", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio"]
types = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "mypy (==1.9.0)", "requests", "websocket-client"]
test = ["coverage (>=5.3)", "ipykernel", "nbconvert", "nbformat", "pandas", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio"]
types = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "mypy (==1.9.0)", "pytest (>=6.1.1,<8)", "requests", "websocket-client"]
websockets = ["websockets (>=12.0,<13)"]
websurfer = ["beautifulsoup4", "markdownify", "pathvalidate", "pdfminer.six"]
[[package]]
@ -8920,13 +8904,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
[[package]]
name = "transformers"
version = "4.39.1"
version = "4.39.2"
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
optional = true
python-versions = ">=3.8.0"
files = [
{file = "transformers-4.39.1-py3-none-any.whl", hash = "sha256:df167e08b27ab254044a38bb7c439461cd3916332205416e9b6b1592b517a1a5"},
{file = "transformers-4.39.1.tar.gz", hash = "sha256:ab9c1e1912843b9976e6cc62b27cd5434284fc0dab465e1b660333acfa81c6bc"},
{file = "transformers-4.39.2-py3-none-any.whl", hash = "sha256:8388a4ae1d91ade935f5c5b36dc47aa1a352b092c30595e3337b49a5f7e71b4e"},
{file = "transformers-4.39.2.tar.gz", hash = "sha256:be0c7392cb92ab48efab2656f1cfd1cbda33b2b8a2917a18bd1196707dbebe14"},
]
[package.dependencies]
@ -9647,24 +9631,22 @@ files = [
[[package]]
name = "weaviate-client"
version = "4.5.4"
version = "3.26.2"
description = "A python native Weaviate client"
optional = false
python-versions = ">=3.8"
files = [
{file = "weaviate-client-4.5.4.tar.gz", hash = "sha256:fc53dc73cd53df453c5e6dc758e49a6a1549212d6670ddd013392107120692f8"},
{file = "weaviate_client-4.5.4-py3-none-any.whl", hash = "sha256:f6d3a6b759e5aa0d3350067490526ea38b9274ae4043b4a3ae0064c28d56883f"},
{file = "weaviate-client-3.26.2.tar.gz", hash = "sha256:63ec70839b64909810a64aa7b3e5b85088462e93c7e2ed3c32ebefb702f36723"},
{file = "weaviate_client-3.26.2-py3-none-any.whl", hash = "sha256:ca43bfb9c06b8ae3fd938dc9158acd93d4cbf4622192e173333e1ff63cf97164"},
]
[package.dependencies]
authlib = ">=1.2.1,<2.0.0"
grpcio = ">=1.57.0,<2.0.0"
grpcio-health-checking = ">=1.57.0,<2.0.0"
grpcio-tools = ">=1.57.0,<2.0.0"
httpx = "0.27.0"
pydantic = ">=2.5.0,<3.0.0"
requests = ">=2.30.0,<3.0.0"
validators = "0.22.0"
validators = ">=0.21.2,<1.0.0"
[package.extras]
grpc = ["grpcio (>=1.57.0,<2.0.0)", "grpcio-tools (>=1.57.0,<2.0.0)"]
[[package]]
name = "websocket-client"
@ -10240,4 +10222,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "54dd8f21b3a7ec73a22735bcb2c59c12cb9f52ff11e66eeffd1d80d6696d0d8e"
content-hash = "c259c7ed43f5f6c5e211780da445a10cf1863979b87fb2c6991b1090fbb1fb4a"

5
pyproject.toml
View file

@ -45,7 +45,7 @@ qdrant-client = "^1.7.0"
weaviate-client = "*"
sentence-transformers = { version = "^2.3.1", optional = true }
ctransformers = { version = "^0.2.10", optional = true }
cohere = "^4.47.0"
cohere = "^5.1.7"
faiss-cpu = "^1.7.4"
types-cachetools = "^5.3.0.5"
pinecone-client = "^3.0.3"
@ -71,7 +71,8 @@ numexpr = "^2.8.6"
qianfan = "0.3.5"
pgvector = "^0.2.3"
pyautogen = "^0.2.0"
langchain-google-genai = "^0.0.6"
langchain-google-genai = "^1.0.1"
langchain-cohere = "^0.1.0rc1"
elasticsearch = "^8.12.0"
pytube = "^15.0.0"
llama-index = "^0.10.13"

7
src/backend/base/langflow/api/utils.py
View file

@ -301,3 +301,10 @@ def get_top_level_vertices(graph, vertices_ids):
else:
top_level_vertices.append(vertex_id)
return top_level_vertices
def parse_exception(exc):
"""Parse the exception message."""
if hasattr(exc, "body"):
return exc.body["message"]
return str(exc)

6
src/backend/base/langflow/api/v1/chat.py
View file

@ -12,6 +12,7 @@ from langflow.api.utils import (
format_elapsed_time,
format_exception_message,
get_top_level_vertices,
parse_exception,
)
from langflow.api.v1.schemas import (
InputValueRequest,
@ -314,7 +315,10 @@ async def build_vertex_stream(
except Exception as exc:
logger.exception(f"Error building vertex: {exc}")
yield str(StreamData(event="error", data={"error": str(exc)}))
exc_message = parse_exception(exc)
if exc_message == "The message must be an iterator or an async iterator.":
exc_message = "This stream has already been closed."
yield str(StreamData(event="error", data={"error": exc_message}))
finally:
logger.debug("Closing stream")
yield str(StreamData(event="close", data={"message": "Stream closed"}))

2
src/backend/base/langflow/components/data/File.py
View file

@ -7,7 +7,7 @@ from langflow.schema import Record
class FileComponent(CustomComponent):
display_name = "Files"
display_name = "File"
description = "A generic file loader."
def build_config(self) -> Dict[str, Any]:

2
src/backend/base/langflow/components/data/URL.py
View file

@ -8,7 +8,7 @@ from langflow.schema import Record
class URLComponent(CustomComponent):
display_name = "URL"
description = "Fetch text content given one or more URLs."
description = "Fetch content from one or more URLs."
def build_config(self) -> Dict[str, Any]:
return {

2
src/backend/base/langflow/components/helpers/CreateRecord.py
View file

@ -4,7 +4,7 @@ from langflow.schema import Record
class CreateRecordComponent(CustomComponent):
display_name = "Create Record"
description = "A component to create a record."
description = "Create a Record structure using text-based key/value pairs."
beta: bool = True
def build_config(self):

7
src/backend/base/langflow/components/helpers/CustomComponent.py
View file

@ -1,4 +1,5 @@
from langflow.field_typing import Data
# from langflow.field_typing import Data
from langflow.schema import Record
from langflow.interface.custom.custom_component import CustomComponent
@ -11,5 +12,5 @@ class Component(CustomComponent):
def build_config(self):
return {"param": {"display_name": "Parameter"}}
def build(self, param: Data) -> Data:
return param
def build(self, param: str) -> Record:
return Record(data=param)

2
src/backend/base/langflow/components/helpers/MessageHistory.py
View file

@ -7,7 +7,7 @@ from langflow.schema import Record
class MessageHistoryComponent(CustomComponent):
display_name = "Message History"
description = "Used to retrieve stored chat messages."
description = "Retrieves stored chat messages given a specific Session ID."
beta: bool = True
def build_config(self):

3
src/backend/base/langflow/components/helpers/RecordsToText.py
View file

@ -6,7 +6,8 @@ from langflow.schema import Record
class RecordsToTextComponent(CustomComponent):
display_name = "Records To Text"
description = "Convert Records into plain text using a pre-defined template."
description = "Convert Records into plain text following a specified template."
def build_config(self):
return {

2
src/backend/base/langflow/components/helpers/UpdateRecord.py
View file

@ -4,7 +4,7 @@ from langflow.schema import Record
class UpdateRecordComponent(CustomComponent):
display_name = "Update Record"
description = "Updates a Record with new data. Akin to a Python dictionary update."
description = "Update Record with text-based key/value pairs, similar to updating a Python dictionary."
def build_config(self):
return {

2
src/backend/base/langflow/components/inputs/ChatInput.py
View file

@ -7,7 +7,7 @@ from langflow.schema import Record
class ChatInput(ChatComponent):
display_name = "Chat Input"
description = "Capture user inputs from the chat interface."
description = "Get chat inputs from the Interaction Panel."
icon = "ChatInput"
def build(

2
src/backend/base/langflow/components/inputs/Prompt.py
View file

@ -6,7 +6,7 @@ from langflow.interface.custom.custom_component import CustomComponent
class PromptComponent(CustomComponent):
display_name: str = "Prompt"
description: str = "A component for creating prompt templates using dynamic variables."
description: str = "Create prompt templates with dynamic variables. Prompts can help guide the behavior of a Language Model."
icon = "terminal-square"
def build_config(self):

2
src/backend/base/langflow/components/inputs/TextInput.py
View file

@ -6,7 +6,7 @@ from langflow.field_typing import Text
class TextInput(TextComponent):
display_name = "Text Input"
description = "Capture Text or Record and send text inputs."
description = "Get text inputs from the Interaction Panel."
def build_config(self):
return {

2
src/backend/base/langflow/components/models/AmazonBedrockModel.py
View file

@ -8,7 +8,7 @@ from langflow.field_typing import Text
class AmazonBedrockComponent(LCModelComponent):
display_name: str = "Amazon Bedrock"
description: str = "Generate text using LLM model from Amazon Bedrock."
description: str = "Generate text using Amazon Bedrock LLMs."
icon = "Amazon"
field_order = [
"model_id",

2
src/backend/base/langflow/components/models/AnthropicModel.py
View file

@ -9,7 +9,7 @@ from langflow.field_typing import Text
class AnthropicLLM(LCModelComponent):
display_name: str = "Anthropic"
description: str = "Generate text using Anthropic Chat&Completion large language models."
description: str = "Generate text using Anthropic Chat&Completion LLMs."
icon = "Anthropic"
def build_config(self):

2
src/backend/base/langflow/components/models/AzureOpenAIModel.py
View file

@ -9,7 +9,7 @@ from langflow.field_typing import Text
class AzureChatOpenAIComponent(LCModelComponent):
display_name: str = "Azure OpenAI"
description: str = "Generate text using LLM model from Azure OpenAI."
description: str = "Generate text using Azure OpenAI LLMs."
documentation: str = "https://python.langchain.com/docs/integrations/llms/azure_openai"
beta = False
icon = "Azure"

6
src/backend/base/langflow/components/models/BaiduQianfanChatModel.py
View file

@ -9,10 +9,8 @@ from langflow.field_typing import Text
class QianfanChatEndpointComponent(LCModelComponent):
display_name: str = "Qianfan"
description: str = (
"Generate text using Baidu Qianfan chat models. Get more detail from "
"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint."
)
description: str = "Generate text using Baidu Qianfan LLMs."
documentation: str = "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint."
icon = "BaiduQianfan"
def build_config(self):

2
src/backend/base/langflow/components/models/CohereModel.py
View file

@ -10,7 +10,7 @@ from langflow.field_typing import Text
class CohereComponent(LCModelComponent):
display_name = "Cohere"
description = "Generate text using Cohere large language models."
description = "Generate text using Cohere LLMs."
documentation = "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
icon = "Cohere"

2
src/backend/base/langflow/components/models/GoogleGenerativeAIModel.py
View file

@ -9,7 +9,7 @@ from langflow.field_typing import RangeSpec, Text
class GoogleGenerativeAIComponent(LCModelComponent):
display_name: str = "Google Generative AI"
description: str = "Generate text using Google Generative AI to generate text."
description: str = "Generate text using Google Generative AI."
icon = "GoogleGenerativeAI"
icon = "Google"

2
src/backend/base/langflow/components/models/HuggingFaceModel.py
View file

@ -9,7 +9,7 @@ from langflow.field_typing import Text
class HuggingFaceEndpointsComponent(LCModelComponent):
display_name: str = "Hugging Face API"
description: str = "Generate text using LLM model from Hugging Face Inference API."
description: str = "Generate text using Hugging Face Inference APIs."
icon = "HuggingFace"
def build_config(self):

2
src/backend/base/langflow/components/models/OllamaModel.py
View file

@ -14,7 +14,7 @@ from langflow.field_typing import Text
class ChatOllamaComponent(LCModelComponent):
display_name = "Ollama"
description = "Generate text using Local LLM for chat with Ollama."
description = "Generate text using Ollama Local LLMs."
icon = "Ollama"
def build_config(self) -> dict:

2
src/backend/base/langflow/components/models/OpenAIModel.py
View file

@ -8,7 +8,7 @@ from langflow.field_typing import NestedDict, Text
class OpenAIModelComponent(LCModelComponent):
display_name = "OpenAI"
description = "Generates text using OpenAI's models."
description = "Generates text using OpenAI LLMs."
icon = "OpenAI"
def build_config(self):

2
src/backend/base/langflow/components/models/VertexAiModel.py
View file

@ -8,7 +8,7 @@ from langflow.field_typing import Text
class ChatVertexAIComponent(LCModelComponent):
display_name = "Vertex AI"
description = "Generate text using Vertex AI Chat large language models API."
description = "Generate text using Vertex AI LLMs."
icon = "VertexAI"
def build_config(self):

2
src/backend/base/langflow/components/outputs/ChatOutput.py
View file

@ -7,7 +7,7 @@ from langflow.schema import Record
class ChatOutput(ChatComponent):
display_name = "Chat Output"
description = "Used to send a chat message."
description = "Display a chat message in the Interaction Panel."
icon = "ChatOutput"
def build(

2
src/backend/base/langflow/components/outputs/TextOutput.py
View file

@ -6,7 +6,7 @@ from langflow.field_typing import Text
class TextOutput(TextComponent):
display_name = "Text Output"
description = "Used to send a text output."
description = "Display a text output in the Interaction Panel."
def build_config(self):
return {

2
src/backend/base/langflow/template/field/prompt.py
View file

@ -10,5 +10,5 @@ class DefaultPromptField(TemplateField):
advanced: bool = False
multiline: bool = True
input_types: list[str] = ["Document", "BaseOutputParser", "Text", "Record"]
input_types: list[str] = ["Document", "BaseOutputParser", "Record", "Text"]
value: str = "" # Set the value to empty string

8
src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
View file

@ -421,8 +421,8 @@ export default function ParameterComponent({
{title}
</span>
)}
<span className={(info === "" ? "" : "ml-1 ") + " text-status-red"}>
{required ? " *" : ""}
<span className={(info === "" ? "" : "ml-1 ") + " text-status-red pl-1"}>
{required ? "*" : ""}
</span>
<div className="">
{info !== "" && (
@ -487,7 +487,7 @@ export default function ParameterComponent({
{left === true &&
type === "str" &&
!data.node?.template[name].options ? (
<div className="mt-2 w-full">
<div className="w-full">
{data.node?.template[name].list ? (
<div
className={
@ -628,7 +628,7 @@ export default function ParameterComponent({
isLoading={isLoading}
options={data.node.template[name].options}
onSelect={handleOnNewValue}
value={data.node.template[name].value ?? "Choose an option"}
value={data.node.template[name].value}
id={"dropdown-" + name}
/>
</div>

4
src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx
View file

@ -77,7 +77,7 @@ export default function AddNewVariableButton({ children }): JSX.Element {
}}
selectedOption={type}
password={false}
options={["Variable", "Credential"]}
options={["Generic", "Credential"]}
placeholder="Choose a type for the variable..."
></InputComponent>
<Label>Value</Label>
@ -92,7 +92,7 @@ export default function AddNewVariableButton({ children }): JSX.Element {
</div>
</BaseModal.Content>
<BaseModal.Footer>
<Button onClick={handleSaveVariable}>Save variable</Button>
<Button onClick={handleSaveVariable}>Save Variable</Button>
</BaseModal.Footer>
</BaseModal>
);

10
src/frontend/src/components/dropdownComponent/index.tsx
View file

@ -52,11 +52,11 @@ export default function Dropdown({
editNode ? "input-edit-node" : "py-2"
)}
>
<span data-testid={`value-${id ?? ""}`}>
{value
? options.find((option) => option === value)
: "Choose an option..."}
</span>
{value &&
value !== "" &&
options.find((option) => option === value)
? options.find((option) => option === value)
: "Choose an option..."}
<ForwardedIconComponent
name="ChevronsUpDown"
className="ml-2 h-4 w-4 shrink-0 opacity-50"

19
src/frontend/src/components/newChatView/chatMessage/index.tsx
View file

@ -9,6 +9,7 @@ import Robot from "../../../assets/robot.png";
import SanitizedHTMLWrapper from "../../../components/SanitizedHTMLWrapper";
import CodeTabsComponent from "../../../components/codeTabsComponent";
import IconComponent from "../../../components/genericIconComponent";
import useAlertStore from "../../../stores/alertStore";
import useFlowStore from "../../../stores/flowStore";
import { chatMessagePropsType } from "../../../types/components";
import { classNames } from "../../../utils/utils";
@ -33,6 +34,7 @@ export default function ChatMessage({
const [isStreaming, setIsStreaming] = useState(false);
const eventSource = useRef<EventSource | undefined>(undefined);
const updateFlowPool = useFlowStore((state) => state.updateFlowPool);
const setErrorData = useAlertStore((state) => state.setErrorData);
const chatMessageRef = useRef(chatMessage);
// Sync ref with state
@ -57,7 +59,17 @@ export default function ChatMessage({
setIsStreaming(false);
eventSource.current?.close();
setStreamUrl(undefined);
reject(new Error("Streaming failed"));
// property data is not available in the event object
// so check if the event object has a data property
if (event.data) {
let parsedData = JSON.parse(event.data);
if (parsedData.error) {
reject(new Error(parsedData.error));
} else
reject(new Error("An error occurred while streaming the output"));
} else {
reject(new Error("An error occurred while streaming the output"));
}
};
eventSource.current.addEventListener("close", (event) => {
setStreamUrl(undefined); // Update state to reflect the stream is closed
@ -79,7 +91,10 @@ export default function ChatMessage({
}
})
.catch((error) => {
console.error(error);
setErrorData({
title: "Streaming Error",
list: [error.message],
});
setLockChat(false);
});
}

15
src/frontend/src/components/ui/button.tsx
View file

@ -41,14 +41,27 @@ export interface ButtonProps
asChild?: boolean;
}
function toTitleCase(text: string) {
return text
.split(' ')
.map(word => word.charAt(0).toUpperCase() + word.slice(1).toLowerCase())
.join(' ');
}
const Button = React.forwardRef<HTMLButtonElement, ButtonProps>(
({ className, variant, size, asChild = false, ...props }, ref) => {
({ className, variant, size, asChild = false,children, ...props }, ref) => {
const Comp = asChild ? Slot : "button";
let newChildren = children;
if (typeof(children)==="string"){
newChildren = toTitleCase(children)
}
return (
<Comp
className={cn(buttonVariants({ variant, size, className }))}
ref={ref}
children={newChildren}
{...props}
/>
);
}

6
src/frontend/src/constants/constants.ts
View file

@ -107,7 +107,7 @@ export const CODE_DIALOG_SUBTITLE =
* @constant
*/
export const CHAT_FORM_DIALOG_SUBTITLE =
"Adjust or overwrite input values, inspect outputs or interact through the chat console.";
"Set up the input variables defined in prompt templates. Interact with agents and chains.";
/**
* The base text for subtitle of Edit Node Dialog
@ -732,12 +732,14 @@ export const PRIORITY_SIDEBAR_ORDER = [
"saved_components",
"inputs",
"outputs",
"prompts",
"data",
"prompt",
"models",
"helpers",
"vectorstores",
"vectorsearch",
"helpers",
"embeddings",
];
export const NATIVE_CATEGORIES = [
"inputs",

9
src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx
View file

@ -4,6 +4,7 @@ import { DisclosureComponentType } from "../../../../types/components";
export default function DisclosureComponent({
button: { title, Icon, buttons = [] },
isChild = true,
children,
openDisc,
}: DisclosureComponentType): JSX.Element {
@ -13,10 +14,14 @@ export default function DisclosureComponent({
<>
<div>
<Disclosure.Button
className="components-disclosure-arrangement"
className={
isChild
? "components-disclosure-arrangement-child"
: "components-disclosure-arrangement"
}
data-testid={`disclosure-${title.toLocaleLowerCase()}`}
>
<div className="flex gap-4">
<div className={"flex gap-4" + (isChild ? " pl-2" : "")}>
{/* BUG ON THIS ICON */}
<Icon strokeWidth={1.5} size={22} className="text-primary" />
<span className="components-disclosure-title">{title}</span>

41
src/frontend/src/pages/FlowPage/components/ParentDisclosureComponent/index.tsx Normal file
View file

@ -0,0 +1,41 @@
import { Disclosure } from "@headlessui/react";
import IconComponent from "../../../../components/genericIconComponent";
import { DisclosureComponentType } from "../../../../types/components";
export default function ParentDisclosureComponent({
button: { title, Icon, buttons = [] },
children,
openDisc,
}: DisclosureComponentType): JSX.Element {
return (
<Disclosure as="div" defaultOpen={openDisc} key={title}>
{({ open }) => (
<>
<div>
<Disclosure.Button className="parent-disclosure-arrangement">
<div className="flex gap-4">
<span className="parent-disclosure-title">{title}</span>
</div>
<div className="components-disclosure-div">
{buttons.map((btn, index) => (
<button key={index} onClick={btn.onClick}>
{btn.Icon}
</button>
))}
<div>
<IconComponent
name="ChevronRight"
className={`${
open || openDisc ? "rotate-90 transform" : ""
} h-4 w-4 text-foreground`}
/>
</div>
</div>
</Disclosure.Button>
</div>
<Disclosure.Panel as="div">{children}</Disclosure.Panel>
</>
)}
</Disclosure>
);
}

153
src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
View file

@ -5,6 +5,7 @@ import ShadTooltip from "../../../../components/ShadTooltipComponent";
import IconComponent from "../../../../components/genericIconComponent";
import { Input } from "../../../../components/ui/input";
import { Separator } from "../../../../components/ui/separator";
import { PRIORITY_SIDEBAR_ORDER } from "../../../../constants/constants";
import ExportModal from "../../../../modals/exportModal";
import ShareModal from "../../../../modals/shareModal";
import useAlertStore from "../../../../stores/alertStore";
@ -24,6 +25,7 @@ import {
sensitiveSort,
} from "../../../../utils/utils";
import DisclosureComponent from "../DisclosureComponent";
import ParentDisclosureComponent from "../ParentDisclosureComponent";
import SidebarDraggableComponent from "./sideBarDraggableComponent";
import { sortKeys } from "./utils";
@ -271,23 +273,17 @@ export default function ExtraSidebar(): JSX.Element {
<div className="side-bar-components-div-arrangement">
{Object.keys(dataFilter)
.sort(sortKeys)
.filter((x) => PRIORITY_SIDEBAR_ORDER.includes(x))
.map((SBSectionName: keyof APIObjectType, index) =>
Object.keys(dataFilter[SBSectionName]).length > 0 ? (
<>
{index === 0 && (
<div className="pt-0.5">
<div className="p-2 px-4 text-sm font-semibold" key={index}>
Native Components
</div>
</div>
)}
<DisclosureComponent
openDisc={
getFilterEdge.length !== 0 || search.length !== 0
? true
: false
}
isChild={false}
key={index + search + JSON.stringify(getFilterEdge)}
button={{
title: nodeNames[SBSectionName] ?? nodeNames.unknown,
@ -342,37 +338,124 @@ export default function ExtraSidebar(): JSX.Element {
))}
</div>
</DisclosureComponent>
{index === Object.keys(dataFilter).length - 1 && (
<>
<a
target={"_blank"}
href="https://langflow.store"
className="components-disclosure-arrangement"
>
<div className="flex gap-4">
{/* BUG ON THIS ICON */}
<SparklesIcon
strokeWidth={1.5}
className="w-[22px] text-primary"
/>
<span className="components-disclosure-title">
Discover More
</span>
</div>
<div className="components-disclosure-div">
<div>
<LinkIcon className="h-4 w-4 text-foreground" />
</div>
</div>
</a>
</>
)}
</>
) : (
<div key={index}></div>
)
)}
)}{" "}
<ParentDisclosureComponent
openDisc={
getFilterEdge.length !== 0 || search.length !== 0 ? true : false
}
key={"Extended"}
button={{
title: "Extended",
Icon: nodeIconsLucide.unknown,
}}
>
{Object.keys(dataFilter)
.sort(sortKeys)
.filter((x) => !PRIORITY_SIDEBAR_ORDER.includes(x))
.map((SBSectionName: keyof APIObjectType, index) =>
Object.keys(dataFilter[SBSectionName]).length > 0 ? (
<>
<DisclosureComponent
openDisc={
getFilterEdge.length !== 0 || search.length !== 0
? true
: false
}
key={index + search + JSON.stringify(getFilterEdge)}
button={{
title: nodeNames[SBSectionName] ?? nodeNames.unknown,
Icon:
nodeIconsLucide[SBSectionName] ??
nodeIconsLucide.unknown,
}}
>
<div className="side-bar-components-gap">
{Object.keys(dataFilter[SBSectionName])
.sort((a, b) =>
sensitiveSort(
dataFilter[SBSectionName][a].display_name,
dataFilter[SBSectionName][b].display_name
)
)
.map((SBItemName: string, index) => (
<ShadTooltip
content={
dataFilter[SBSectionName][SBItemName].display_name
}
side="right"
key={index}
>
<SidebarDraggableComponent
sectionName={SBSectionName as string}
apiClass={dataFilter[SBSectionName][SBItemName]}
key={index}
onDragStart={(event) =>
onDragStart(event, {
//split type to remove type in nodes saved with same name removing it's
type: removeCountFromString(SBItemName),
node: dataFilter[SBSectionName][SBItemName],
})
}
color={nodeColors[SBSectionName]}
itemName={SBItemName}
//convert error to boolean
error={
!!dataFilter[SBSectionName][SBItemName].error
}
display_name={
dataFilter[SBSectionName][SBItemName]
.display_name
}
official={
dataFilter[SBSectionName][SBItemName]
.official === false
? false
: true
}
/>
</ShadTooltip>
))}
</div>
</DisclosureComponent>
{index ===
Object.keys(dataFilter).length -
PRIORITY_SIDEBAR_ORDER.length +
1 && (
<>
<a
target={"_blank"}
href="https://langflow.store"
className="components-disclosure-arrangement"
>
<div className="flex gap-4">
{/* BUG ON THIS ICON */}
<SparklesIcon
strokeWidth={1.5}
className="w-[22px] text-primary"
/>
<span className="components-disclosure-title">
Discover More
</span>
</div>
<div className="components-disclosure-div">
<div>
<LinkIcon className="h-4 w-4 text-foreground" />
</div>
</div>
</a>
</>
)}
</>
) : (
<div key={index}></div>
)
)}
</ParentDisclosureComponent>
</div>
</div>
);

12
src/frontend/src/style/applies.css
View file

@ -117,7 +117,7 @@
@apply relative inline-flex w-full items-center justify-center rounded-md bg-background px-2 py-2 text-foreground transition-all duration-500 ease-in-out;
}
.header-menubar-item {
@apply relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none transition-colors hover:bg-accent hover:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50 cursor-pointer;
@apply relative flex cursor-default cursor-pointer select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none transition-colors hover:bg-accent hover:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50;
}
.extra-side-bar-buttons:hover {
@apply hover:bg-muted;
@ -183,9 +183,19 @@
.disabled-message-button-icon {
@apply fill-chat-trigger-disabled stroke-chat-trigger-disabled stroke-1;
}
.parent-disclosure-arrangement {
@apply flex w-full select-none items-center justify-between border-y border-y-input bg-background px-3 py-2;
}
.components-disclosure-arrangement {
@apply -mt-px flex w-full select-none items-center justify-between border-y border-y-input bg-muted px-3 py-2;
}
.components-disclosure-arrangement-child {
/* different color than the non child */
@apply -mt-px flex w-full select-none items-center justify-between border-y border-y-input bg-muted px-3 py-2;
}
.parent-disclosure-title {
@apply p-2 px-2 text-sm font-semibold;
}
.components-disclosure-title {
@apply flex items-center text-sm text-primary;
}

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

@ -149,6 +149,7 @@ export type FileComponentType = {
export type DisclosureComponentType = {
children: ReactNode;
openDisc: boolean;
isChild?: boolean;
button: {
title: string;
Icon: React.ElementType;

1
src/frontend/src/utils/styleUtils.ts
View file

@ -249,7 +249,6 @@ export const nodeColors: { [char: string]: string } = {
retrievers: "#e6b25a",
unknown: "#9CA3AF",
custom_components: "#ab11ab",
Record:"#31a3cc"
};
export const nodeNames: { [char: string]: string } = {