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Merge branch 'zustand/io/migration' into cz/new-tests

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cristhianzl 2024-04-01 21:29:38 -03:00
commit fe743fd0fa
11 changed files with 1328 additions and 1330 deletions
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0
docs/docs/components/data.mdx Normal file
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4
docs/docs/components/outputs.mdx
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@ -2,7 +2,7 @@ import Admonition from '@theme/Admonition';
# Outputs
### ChatOutput
## Chat Output
This component is designed to send a message to the chat.
@ -22,7 +22,7 @@ This component is designed to send a message to the chat.
</p>
</Admonition>
### TextOutput
## Text Output
This component is designed to display text data to the user. It's particularly useful for scenarios where you don't want to send the text data to the chat, but still want to display it.

200
poetry.lock generated
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@ -2666,21 +2666,6 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4
[package.extras]
grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
[[package]]
name = "gotrue"
version = "2.4.2"
description = "Python Client Library for Supabase Auth"
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "gotrue-2.4.2-py3-none-any.whl", hash = "sha256:64cd40933d1f0a5d5cc4f4bd93bc51d730b94812447b6600f774790a4901e455"},
{file = "gotrue-2.4.2.tar.gz", hash = "sha256:e100745161f1c58dd05b9c1ef8bcd4cd78cdfb38d8d2c253ade63143a3dc6aeb"},
]
[package.dependencies]
httpx = ">=0.23,<0.28"
pydantic = ">=1.10,<3"
[[package]]
name = "greenlet"
version = "3.0.3"
@ -3908,60 +3893,53 @@ name = "langflow-base"
version = "0.0.13"
description = "A Python package with a built-in web application"
optional = false
python-versions = ">=3.10,<3.12"
files = []
develop = true
python-versions = "<3.12,>=3.10"
files = [
{file = "langflow_base-0.0.13-py3-none-any.whl", hash = "sha256:86a8cd4f4dac68a1c00b4fe434cd5df1ef4af939295a1a5516e4cc14aaf79e7a"},
{file = "langflow_base-0.0.13.tar.gz", hash = "sha256:b7ee7d93e29c20bdb2a1431498d5715ed2a8fbfe9ca5d7d49926a9a10937e8c2"},
]
[package.dependencies]
alembic = "^1.13.0"
alembic = ">=1.13.0,<2.0.0"
bcrypt = "4.0.1"
cachetools = "^5.3.1"
chromadb = "^0.4.24"
docstring-parser = "^0.15"
duckdb = "^0.9.2"
fastapi = "^0.109.0"
gunicorn = "^21.2.0"
httpx = "^0.25"
jq = {version = "^1.7.0", markers = "sys_platform != \"win32\""}
langchain = "~0.1.0"
langchain-anthropic = "^0.1.4"
langchain-astradb = "^0.1.0"
cachetools = ">=5.3.1,<6.0.0"
chromadb = ">=0.4.24,<0.5.0"
docstring-parser = ">=0.15,<0.16"
duckdb = ">=0.9.2,<0.10.0"
fastapi = ">=0.109.0,<0.110.0"
gunicorn = ">=21.2.0,<22.0.0"
httpx = ">=0.25,<0.26"
jq = {version = ">=1.7.0,<2.0.0", markers = "sys_platform != \"win32\""}
langchain = ">=0.1.0,<0.2.0"
langchain-anthropic = ">=0.1.4,<0.2.0"
langchain-astradb = ">=0.1.0,<0.2.0"
langchain-experimental = "*"
loguru = "^0.7.1"
multiprocess = "^0.70.14"
opentelemetry-api = "^1.23.0"
opentelemetry-exporter-otlp = "^1.23.0"
opentelemetry-instrumentation-asgi = "^0.44b0"
opentelemetry-instrumentation-fastapi = "^0.44b0"
opentelemetry-instrumentation-httpx = "^0.44b0"
opentelemetry-sdk = "^1.23.0"
loguru = ">=0.7.1,<0.8.0"
multiprocess = ">=0.70.14,<0.71.0"
opentelemetry-api = ">=1.23.0,<2.0.0"
opentelemetry-exporter-otlp = ">=1.23.0,<2.0.0"
opentelemetry-instrumentation-asgi = ">=0.44b0,<0.45"
opentelemetry-instrumentation-fastapi = ">=0.44b0,<0.45"
opentelemetry-instrumentation-httpx = ">=0.44b0,<0.45"
opentelemetry-sdk = ">=1.23.0,<2.0.0"
orjson = "3.9.15"
pandas = "2.2.0"
passlib = "^1.7.4"
pillow = "^10.2.0"
platformdirs = "^4.2.0"
pydantic = "^2.5.0"
pydantic-settings = "^2.1.0"
pypdf = "^4.1.0"
python-docx = "^1.1.0"
python-jose = "^3.3.0"
python-multipart = "^0.0.7"
python-socketio = "^5.11.0"
rich = "^13.7.0"
sqlmodel = "^0.0.14"
typer = "^0.9.0"
uvicorn = "^0.27.0"
passlib = ">=1.7.4,<2.0.0"
pillow = ">=10.2.0,<11.0.0"
platformdirs = ">=4.2.0,<5.0.0"
pydantic = ">=2.5.0,<3.0.0"
pydantic-settings = ">=2.1.0,<3.0.0"
pypdf = ">=4.1.0,<5.0.0"
python-docx = ">=1.1.0,<2.0.0"
python-jose = ">=3.3.0,<4.0.0"
python-multipart = ">=0.0.7,<0.0.8"
python-socketio = ">=5.11.0,<6.0.0"
rich = ">=13.7.0,<14.0.0"
sqlmodel = ">=0.0.14,<0.0.15"
typer = ">=0.9.0,<0.10.0"
uvicorn = ">=0.27.0,<0.28.0"
websockets = "*"
[package.extras]
all = []
deploy = []
local = []
[package.source]
type = "directory"
url = "src/backend/base"
[[package]]
name = "langfuse"
version = "2.21.1"
@ -6150,23 +6128,6 @@ docs = ["sphinx (>=1.7.1)"]
redis = ["redis"]
tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
[[package]]
name = "postgrest"
version = "0.16.2"
description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "postgrest-0.16.2-py3-none-any.whl", hash = "sha256:cf89106d0877ac2c7b070ad136f78350eb89dbdd998cd83d6852010e0bcdb878"},
{file = "postgrest-0.16.2.tar.gz", hash = "sha256:6c5c8e53cdcede8b6654ddfc7505e5af0c41ce56c6935f7b1d05545bb899d8b8"},
]
[package.dependencies]
deprecation = ">=2.1.0,<3.0.0"
httpx = ">=0.24,<0.28"
pydantic = ">=1.9,<3.0"
strenum = ">=0.4.9,<0.5.0"
[[package]]
name = "posthog"
version = "3.5.0"
@ -7762,22 +7723,6 @@ files = [
[package.extras]
full = ["numpy"]
[[package]]
name = "realtime"
version = "1.0.3"
description = ""
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "realtime-1.0.3-py3-none-any.whl", hash = "sha256:809b99a1c09390a4580ca2d37d84c85dffacb1804f80c6f5a4491d312c20e6e3"},
{file = "realtime-1.0.3.tar.gz", hash = "sha256:1a39b5dcdb345b4cc7fd43bc035feb38ca915c9248962f20d264625bc8eb2c4e"},
]
[package.dependencies]
python-dateutil = ">=2.8.1,<3.0.0"
typing-extensions = ">=4.2.0,<5.0.0"
websockets = ">=11,<13"
[[package]]
name = "red-black-tree-mod"
version = "1.20"
@ -8506,38 +8451,6 @@ anyio = ">=3.4.0,<5"
[package.extras]
full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
[[package]]
name = "storage3"
version = "0.7.4"
description = "Supabase Storage client for Python."
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "storage3-0.7.4-py3-none-any.whl", hash = "sha256:0b8e8839b10a64063796ce55a41462c7ffd6842e0ada74f25f5dcf37e1d1bade"},
{file = "storage3-0.7.4.tar.gz", hash = "sha256:61fcbf836f566405981722abb7d56caa57025b261e7a316e73316701abf0c040"},
]
[package.dependencies]
httpx = ">=0.24,<0.28"
python-dateutil = ">=2.8.2,<3.0.0"
typing-extensions = ">=4.2.0,<5.0.0"
[[package]]
name = "strenum"
version = "0.4.15"
description = "An Enum that inherits from str."
optional = false
python-versions = "*"
files = [
{file = "StrEnum-0.4.15-py3-none-any.whl", hash = "sha256:a30cda4af7cc6b5bf52c8055bc4bf4b2b6b14a93b574626da33df53cf7740659"},
{file = "StrEnum-0.4.15.tar.gz", hash = "sha256:878fb5ab705442070e4dd1929bb5e2249511c0bcf2b0eeacf3bcd80875c82eff"},
]
[package.extras]
docs = ["myst-parser[linkify]", "sphinx", "sphinx-rtd-theme"]
release = ["twine"]
test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
[[package]]
name = "striprtf"
version = "0.0.26"
@ -8549,39 +8462,6 @@ files = [
{file = "striprtf-0.0.26.tar.gz", hash = "sha256:fdb2bba7ac440072d1c41eab50d8d74ae88f60a8b6575c6e2c7805dc462093aa"},
]
[[package]]
name = "supabase"
version = "2.4.1"
description = "Supabase client for Python."
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "supabase-2.4.1-py3-none-any.whl", hash = "sha256:8b95744ce4ad24245ec23c090f273dfc9c2d9a53e3a80186959903947dbe1ed6"},
{file = "supabase-2.4.1.tar.gz", hash = "sha256:a7dec0586f8931f378a45b2ffb28d8e37b3719f979c17f541b0156019144e645"},
]
[package.dependencies]
gotrue = ">=1.3,<3.0"
httpx = ">=0.24,<0.28"
postgrest = ">=0.10.8,<0.17.0"
realtime = ">=1.0.0,<2.0.0"
storage3 = ">=0.5.3,<0.8.0"
supafunc = ">=0.3.1,<0.5.0"
[[package]]
name = "supafunc"
version = "0.4.5"
description = "Library for Supabase Functions"
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "supafunc-0.4.5-py3-none-any.whl", hash = "sha256:2208045f8f5c797924666f6a332efad75ad368f8030b2e4ceb9d2bf63f329373"},
{file = "supafunc-0.4.5.tar.gz", hash = "sha256:a6466d78bdcaa58b7f0303793643103baae8106a87acd5d01e196179a9d0d024"},
]
[package.dependencies]
httpx = ">=0.24,<0.28"
[[package]]
name = "sympy"
version = "1.12"
@ -10283,4 +10163,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "b66acb0ed04e62c9f311828307ac1503bc7a19912753c217d4ea6237f474543a"
content-hash = "b1b40cf39cc544faf5ca6ad04a2be009df7d8d343d86c1e9d7c02d21b2cad431"

7
pyproject.toml
View file

@ -28,8 +28,8 @@ enable = true
[tool.poetry.dependencies]
python = ">=3.10,<3.12"
langflow-base = { path = "./src/backend/base", develop = true }
# langflow-base = { path = "./src/backend/base", develop = true }
langflow-base = "0.0.13"
beautifulsoup4 = "^4.12.2"
google-search-results = "^2.4.1"
google-api-python-client = "^2.118.0"
@ -50,7 +50,6 @@ faiss-cpu = "^1.7.4"
types-cachetools = "^5.3.0.5"
pinecone-client = "^3.0.3"
pymongo = "^4.6.0"
supabase = "^2.3.0"
certifi = "^2023.11.17"
psycopg = "^3.1.9"
psycopg-binary = "^3.1.9"
@ -61,7 +60,7 @@ flower = { version = "^2.0.0", optional = true }
metaphor-python = "^0.1.11"
zep-python = "*"
pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }
langfuse = "^2.9.0"
langfuse = "*"
metal-sdk = "^2.5.0"
markupsafe = "^2.1.3"
extract-msg = "^0.47.0"

235
src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
View file

@ -5,7 +5,7 @@
"data": {
"nodes": [
{
"id": "ChatInput-r2WbA",
"id": "ChatInput-t7F8v",
"type": "genericNode",
"position": {
"x": 1283.2700598313072,
@ -51,7 +51,7 @@
"info": "",
"load_from_db": false,
"title_case": false,
"value": "what i said in the past?"
"value": ""
},
"return_record": {
"type": "bool",
@ -170,11 +170,11 @@
"field_order": [],
"beta": false
},
"id": "ChatInput-r2WbA"
"id": "ChatInput-t7F8v"
},
"selected": false,
"width": 384,
"height": 471,
"height": 469,
"positionAbsolute": {
"x": 1283.2700598313072,
"y": 982.5953650473145
@ -182,7 +182,7 @@
"dragging": false
},
{
"id": "ChatOutput-65FlE",
"id": "ChatOutput-P1jEe",
"type": "genericNode",
"position": {
"x": 3154.916355514023,
@ -348,11 +348,11 @@
"field_order": [],
"beta": false
},
"id": "ChatOutput-65FlE"
"id": "ChatOutput-P1jEe"
},
"selected": false,
"width": 384,
"height": 479,
"height": 477,
"dragging": false,
"positionAbsolute": {
"x": 3154.916355514023,
@ -360,7 +360,7 @@
}
},
{
"id": "MemoryComponent-CsMk7",
"id": "MemoryComponent-cdA1J",
"type": "genericNode",
"position": {
"x": 1289.9606870058817,
@ -552,13 +552,13 @@
"field_order": [],
"beta": true
},
"id": "MemoryComponent-CsMk7",
"id": "MemoryComponent-cdA1J",
"description": "Retrieves stored chat messages given a specific Session ID.",
"display_name": "Chat Memory"
},
"selected": false,
"width": 384,
"height": 491,
"height": 489,
"dragging": false,
"positionAbsolute": {
"x": 1289.9606870058817,
@ -566,7 +566,7 @@
}
},
{
"id": "Prompt-p9ug4",
"id": "Prompt-ODkUx",
"type": "genericNode",
"position": {
"x": 1894.594426342426,
@ -699,13 +699,13 @@
"beta": false,
"error": null
},
"id": "Prompt-p9ug4",
"id": "Prompt-ODkUx",
"description": "A component for creating prompt templates using dynamic variables.",
"display_name": "Prompt"
},
"selected": false,
"width": 384,
"height": 479,
"height": 477,
"dragging": false,
"positionAbsolute": {
"x": 1894.594426342426,
@ -713,7 +713,7 @@
}
},
{
"id": "OpenAIModel-OwSm5",
"id": "OpenAIModel-9RykF",
"type": "genericNode",
"position": {
"x": 2561.5850334731617,
@ -979,29 +979,137 @@
],
"beta": false
},
"id": "OpenAIModel-OwSm5"
"id": "OpenAIModel-9RykF"
},
"selected": false,
"width": 384,
"height": 565,
"height": 563,
"positionAbsolute": {
"x": 2561.5850334731617,
"y": 553.2745131130916
},
"dragging": false
},
{
"id": "TextOutput-vrs6T",
"type": "genericNode",
"position": {
"x": 1911.4785906252087,
"y": 247.39079954376987
},
"data": {
"type": "TextOutput",
"node": {
"template": {
"input_value": {
"type": "str",
"required": false,
"placeholder": "",
"list": false,
"show": true,
"multiline": false,
"value": "",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "input_value",
"display_name": "Value",
"advanced": false,
"input_types": [
"Record",
"Text"
],
"dynamic": false,
"info": "Text or Record to be passed as output.",
"load_from_db": false,
"title_case": false
},
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"record_template": {
"type": "str",
"required": false,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "record_template",
"display_name": "Record Template",
"advanced": true,
"dynamic": false,
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"load_from_db": false,
"title_case": false,
"input_types": [
"Text"
]
},
"_type": "CustomComponent"
},
"description": "Display a text output in the Interaction Panel.",
"icon": "type",
"base_classes": [
"str",
"object",
"Text"
],
"display_name": "Inspect Memory",
"documentation": "",
"custom_fields": {
"input_value": null,
"record_template": null
},
"output_types": [
"Text"
],
"field_formatters": {},
"frozen": false,
"field_order": [],
"beta": false
},
"id": "TextOutput-vrs6T"
},
"selected": false,
"width": 384,
"height": 289,
"positionAbsolute": {
"x": 1911.4785906252087,
"y": 247.39079954376987
},
"dragging": false
}
],
"edges": [
{
"source": "MemoryComponent-CsMk7",
"sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-CsMk7œ}",
"target": "Prompt-p9ug4",
"targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"source": "MemoryComponent-cdA1J",
"sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}",
"target": "Prompt-ODkUx",
"targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "context",
"type": "str",
"id": "Prompt-p9ug4",
"id": "Prompt-ODkUx",
"inputTypes": [
"Document",
"BaseOutputParser",
@ -1016,26 +1124,26 @@
"object"
],
"dataType": "MemoryComponent",
"id": "MemoryComponent-CsMk7"
"id": "MemoryComponent-cdA1J"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-gray-900 stroke-connection",
"id": "reactflow__edge-MemoryComponent-CsMk7{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-CsMk7œ}-Prompt-p9ug4{œfieldNameœ:œcontextœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"id": "reactflow__edge-MemoryComponent-cdA1J{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}-Prompt-ODkUx{œfieldNameœ:œcontextœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"selected": false
},
{
"source": "ChatInput-r2WbA",
"sourceHandle": "{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-r2WbAœ}",
"target": "Prompt-p9ug4",
"targetHandle": "{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"source": "ChatInput-t7F8v",
"sourceHandle": "{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-t7F8vœ}",
"target": "Prompt-ODkUx",
"targetHandle": "{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "user_message",
"type": "str",
"id": "Prompt-p9ug4",
"id": "Prompt-ODkUx",
"inputTypes": [
"Document",
"BaseOutputParser",
@ -1051,25 +1159,25 @@
"str"
],
"dataType": "ChatInput",
"id": "ChatInput-r2WbA"
"id": "ChatInput-t7F8v"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-gray-900 stroke-connection",
"id": "reactflow__edge-ChatInput-r2WbA{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-r2WbAœ}-Prompt-p9ug4{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"id": "reactflow__edge-ChatInput-t7F8v{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-t7F8vœ}-Prompt-ODkUx{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
"selected": false
},
{
"source": "Prompt-p9ug4",
"sourceHandle": "{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-p9ug4œ}",
"target": "OpenAIModel-OwSm5",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-OwSm5œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"source": "Prompt-ODkUx",
"sourceHandle": "{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-ODkUxœ}",
"target": "OpenAIModel-9RykF",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-9RykFœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-OwSm5",
"id": "OpenAIModel-9RykF",
"inputTypes": [
"Text"
],
@ -1082,24 +1190,24 @@
"object"
],
"dataType": "Prompt",
"id": "Prompt-p9ug4"
"id": "Prompt-ODkUx"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-Prompt-p9ug4{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-p9ug4œ}-OpenAIModel-OwSm5{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-OwSm5œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
"className": "stroke-gray-900 stroke-connection",
"id": "reactflow__edge-Prompt-ODkUx{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-ODkUxœ}-OpenAIModel-9RykF{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-9RykFœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
},
{
"source": "OpenAIModel-OwSm5",
"sourceHandle": "{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-OwSm5œ}",
"target": "ChatOutput-65FlE",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-65FlEœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"source": "OpenAIModel-9RykF",
"sourceHandle": "{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-9RykFœ}",
"target": "ChatOutput-P1jEe",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-P1jEeœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-65FlE",
"id": "ChatOutput-P1jEe",
"inputTypes": [
"Text"
],
@ -1112,20 +1220,51 @@
"Text"
],
"dataType": "OpenAIModel",
"id": "OpenAIModel-OwSm5"
"id": "OpenAIModel-9RykF"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-gray-900 stroke-connection",
"id": "reactflow__edge-OpenAIModel-9RykF{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-9RykFœ}-ChatOutput-P1jEe{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-P1jEeœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
},
{
"source": "MemoryComponent-cdA1J",
"sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}",
"target": "TextOutput-vrs6T",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-vrs6Tœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "input_value",
"id": "TextOutput-vrs6T",
"inputTypes": [
"Record",
"Text"
],
"type": "str"
},
"sourceHandle": {
"baseClasses": [
"str",
"Text",
"object"
],
"dataType": "MemoryComponent",
"id": "MemoryComponent-cdA1J"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-OpenAIModel-OwSm5{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-OwSm5œ}-ChatOutput-65FlE{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-65FlEœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
"id": "reactflow__edge-MemoryComponent-cdA1J{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}-TextOutput-vrs6T{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-vrs6Tœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}"
}
],
"viewport": {
"x": -391.0433294674358,
"y": -105.08951818254411,
"zoom": 0.5948708289887507
"x": -569.862554459756,
"y": -42.08339711050985,
"zoom": 0.4868590524514978
}
},
"description": "This project can be used as a starting point for building a Chat experience with user specific memory. You can set a different Session ID to start a new message history.",

8
src/backend/base/poetry.lock generated
View file

@ -1955,13 +1955,13 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
[[package]]
name = "httpx"
version = "0.25.2"
version = "0.27.0"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.25.2-py3-none-any.whl", hash = "sha256:a05d3d052d9b2dfce0e3896636467f8a5342fb2b902c819428e1ac65413ca118"},
{file = "httpx-0.25.2.tar.gz", hash = "sha256:8b8fcaa0c8ea7b05edd69a094e63a2094c4efcb48129fb757361bc423c0ad9e8"},
{file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
{file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
]
[package.dependencies]
@ -6083,4 +6083,4 @@ local = []
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "95ecb4112719931edb680b2749b1302f99c76ae15fe6d4be0eed972d73df8aa1"
content-hash = "5a06c86bfbf2cc209bcb3f202bd749af1c8146aa08c10fd69152c170f890866d"

2
src/backend/base/pyproject.toml
View file

@ -28,7 +28,7 @@ langflow-base = "langflow.__main__:main"
[tool.poetry.dependencies]
python = ">=3.10,<3.12"
fastapi = "^0.109.0"
httpx = "^0.25"
httpx = "*"
uvicorn = "^0.27.0"
gunicorn = "^21.2.0"
langchain = "~0.1.0"

5
src/frontend/src/components/codeTabsComponent/index.tsx
View file

@ -205,10 +205,7 @@ export default function CodeTabsComponent({
<div className="api-modal-according-display">
<div
className={classNames(
"h-[70vh] w-full rounded-lg bg-muted",
1 == 1
? "overflow-scroll overflow-x-hidden custom-scroll"
: "overflow-hidden"
"h-[70vh] w-full rounded-lg bg-muted overflow-y-auto overflow-x-hidden custom-scroll"
)}
>
{data?.map((node: any, i) => (

22
src/frontend/src/modals/ApiModal/index.tsx
View file

@ -50,14 +50,9 @@ const ApiModal = forwardRef(
const tweaksList = useRef<string[]>([]);
const [getTweak, setTweak] = useState<tweakType>([]);
const flowState = useFlowStore((state) => state.flowState);
const pythonApiCode = getPythonApiCode(
flow,
autoLogin,
tweak.current,
flowState
);
const curl_code = getCurlCode(flow, autoLogin, tweak.current, flowState);
const pythonCode = getPythonCode(flow, tweak.current, flowState);
const pythonApiCode = getPythonApiCode(flow, autoLogin, tweak.current);
const curl_code = getCurlCode(flow, autoLogin, tweak.current);
const pythonCode = getPythonCode(flow, tweak.current);
const widgetCode = getWidgetCode(flow, autoLogin, flowState);
const tweaksCode = buildTweaks(flow);
const codesArray = [
@ -168,14 +163,9 @@ const ApiModal = forwardRef(
tweak.current.push(newTweak);
}
const pythonApiCode = getPythonApiCode(
flow,
autoLogin,
tweak.current,
flowState
);
const curl_code = getCurlCode(flow, autoLogin, tweak.current, flowState);
const pythonCode = getPythonCode(flow, tweak.current, flowState);
const pythonApiCode = getPythonApiCode(flow, autoLogin, tweak.current);
const curl_code = getCurlCode(flow, autoLogin, tweak.current);
const pythonCode = getPythonCode(flow, tweak.current);
const widgetCode = getWidgetCode(flow, autoLogin, flowState);
tabs![0].code = curl_code;

28
src/frontend/src/modals/IOModal/index.tsx
View file

@ -59,13 +59,11 @@ export default function IOModal({
if (!chatInput && !chatOutput) {
if (inputs.length > 0) {
return inputs[0];
}
else {
} else {
return outputs[0];
}
}
else {
return undefined
} else {
return undefined;
}
}
@ -116,12 +114,12 @@ export default function IOModal({
}
useEffect(() => {
if(selectedTab!==2) setSelectedTab(inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0);
}, [allNodes]);
setSelectedTab(inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0);
}, [allNodes.length]);
useEffect(() => {
setSelectedViewField(startView());
},[open])
}, [open]);
return (
<BaseModal
@ -144,7 +142,7 @@ export default function IOModal({
</BaseModal.Header>
<BaseModal.Content>
<div className="flex h-full flex-col ">
<div className="flex-max-width mt-2 h-full">
<div className="flex-max-width h-full">
{selectedTab !== 0 && (
<div
className={cn(
@ -320,12 +318,14 @@ export default function IOModal({
)}
>
<div className="font-xl flex items-center justify-center gap-3 font-semibold">
{(haveChat && <button onClick={() => setSelectedViewField(undefined)}>
{haveChat && (
<button onClick={() => setSelectedViewField(undefined)}>
<IconComponent
name={"ArrowLeft"}
className="h-6 w-6"
></IconComponent>
</button>)}
</button>
)}
{
nodes.find((node) => node.id === selectedViewField.id)
?.data.node.display_name
@ -376,8 +376,8 @@ export default function IOModal({
</div>
</div>
</BaseModal.Content>
{!haveChat ? (
<BaseModal.Footer>
{!haveChat && (
<div className="flex w-full justify-end pt-2">
<Button
variant={"outline"}
@ -396,8 +396,10 @@ export default function IOModal({
Run Flow
</Button>
</div>
)}
</BaseModal.Footer>
) : (
<></>
)}
</BaseModal>
);
}

13
src/frontend/src/utils/utils.ts
View file

@ -456,21 +456,12 @@ export function getWidgetCode(
const inputs = buildInputs();
let chat_input_field = getChatInputField(flowState);
return `<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
return `<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@1.0_alpha/dist/build/static/js/bundle.min.js"></script>
<!-- chat_inputs: Stringified JSON with all the input keys and its values. The value of the key that is defined
as chat_input_field will be overwritten by the chat message.
chat_input_field: Input key that you want the chat to send the user message with. -->
<langflow-chat
window_title="${flowName}"
flow_id="${flowId}"
${
flowState
? `chat_inputs='${inputs}'
chat_input_field="${chat_input_field}"
`
: ""
}host_url="http://localhost:7860"${
host_url="http://localhost:7860"${
!isAuth
? `
api_key="..."`