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Split Langflow into Langflow and Langflow Base (#1562)

Browse source 
* Initial Restructure

* Replace import langflow for import langflow_base

* Fix dependencies

* 🔧 chore(Makefile): refactor build process to separate base and frontend builds for better organization and maintainability

* 🚀 chore(Makefile): update build_frontend command to copy frontend build to the correct directory
🔖 chore(pyproject.toml): update python and httpx dependencies versions
🔧 chore(__init__.py): update import statement for load_flow_from_json function

* 🔖 chore(pyproject.toml): update package version from 0.0.6 to 0.0.8 to reflect changes in the codebase

* 🚀 feat(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
🚀 feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port

* 🐛 fix(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics
✨ feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port
🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10
✨ feat(server.ts): add new agent component LCAgentComponent to langflow_base
✨ feat(server.ts): add new model component LCModelComponent to langflow_base
✨ feat(server.ts): add new helper functions docs_to_records and records_to_text to langflow_base
✨ feat(server.ts): add new flow helper functions list_flows, load_flow, run_flow, generate_function_for_flow, get_flow_inputs, build_schema_from_inputs to langflow_base
✨ feat(server.ts): add new prompt component PromptComponent to langflow_base
✨ feat(server.ts): add new chat components ChatInput and ChatOutput to langflow_base
✨ feat(server.ts): add new model component OpenAIModelComponent to langflow_base
🚚 chore(main.py): update import path from langflow.main to langflow_base.main
🚚 chore(service.py): update import path from langflow.services.database.manager to langflow_base.services.database.manager
🚚 chore(factory.py): update import path from langflow.services to langflow_base.services
🚚 chore(service.py): update import path from langflow.services.plugins to langflow_base.services.plugins
🚚 chore(utils.py): update import path from langflow.services to langflow_base.services
🚚 chore(validate.py): update import path from langflow.field_typing to langflow_base.field_typing
🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10

* Update Makefile to install backend dependencies and build langflow

* Add langflow main module and update __init__.py

* Update langflow install process to use implicit namespace

* Add langflow-base as a local dependency

* Add setup_poetry target to Makefile

* Update Poetry version and add poetry-monorepo-dependency-plugin

* Refactor code to improve performance and readability

* Update imports to custom and load

* Update content-hash in poetry.lock

---------

Co-authored-by: Matheus <jacquesmats@gmail.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@logspace.ai>
This commit is contained in:
Matheus Jacques 2024-03-26 13:26:30 +01:00 • committed by GitHub
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466 changed files with 5418 additions and 1144 deletions
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4
.github/workflows/pre-release.yml vendored
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@ -11,7 +11,7 @@ on:
workflow_dispatch: workflow_dispatch:
env: env:
POETRY_VERSION: "1.5.1" POETRY_VERSION: "1.8.2"
jobs: jobs:
if_release: if_release:
@ -20,7 +20,7 @@ jobs:
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
- name: Install poetry - name: Install poetry
run: pipx install poetry==$POETRY_VERSION run: pipx install poetry==$POETRY_VERSION && poetry self add poetry-monorepo-dependency-plugin
- name: Set up Python 3.10 - name: Set up Python 3.10
uses: actions/setup-python@v5 uses: actions/setup-python@v5
with: with:

4
.github/workflows/release.yml vendored
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@ -10,7 +10,7 @@ on:
- "pyproject.toml" - "pyproject.toml"
env: env:
POETRY_VERSION: "1.5.1" POETRY_VERSION: "1.8.2"
jobs: jobs:
if_release: if_release:
@ -19,7 +19,7 @@ jobs:
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
- name: Install poetry - name: Install poetry
run: pipx install poetry==$POETRY_VERSION run: pipx install poetry==$POETRY_VERSION && poetry self add poetry-monorepo-dependency-plugin
- name: Set up Python 3.10 - name: Set up Python 3.10
uses: actions/setup-python@v5 uses: actions/setup-python@v5
with: with:

44
Makefile
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@ -2,6 +2,10 @@
all: help all: help
setup_poetry:
pipx install poetry
poetry self add poetry-monorepo-dependency-plugin
init: init:
@echo 'Installing backend dependencies' @echo 'Installing backend dependencies'
make install_backend make install_backend
@ -28,7 +32,7 @@ format:
lint: lint:
make install_backend make install_backend
poetry run mypy src/backend/langflow poetry run mypy src/backend
poetry run ruff . --fix poetry run ruff . --fix
install_frontend: install_frontend:
@ -69,6 +73,7 @@ frontendc:
install_backend: install_backend:
poetry install --extras deploy poetry install --extras deploy
poetry run pip install -e src/backend/base/.
backend: backend:
make install_backend make install_backend
@ -82,24 +87,35 @@ else
endif endif
build_and_run: build_and_run:
echo 'Removing dist folder' @echo 'Removing dist folder'
rm -rf dist rm -rf dist
make build && poetry run pip install dist/*.tar.gz && poetry run langflow run rm -rf src/backend/base/dist
make build
poetry run pip install dist/*.tar.gz && pip install src/backend/base/dist/*.tar.gz
poetry run langflow run
build_and_install: build_and_install:
echo 'Removing dist folder' @echo 'Removing dist folder'
rm -rf dist rm -rf dist
make build && poetry run pip install dist/*.tar.gz rm -rf src/backend/base/dist
make build && poetry run pip install dist/*.tar.gz && pip install src/backend/base/dist/*.tar.gz
build_frontend: build_frontend:
cd src/frontend && CI='' npm run build cd src/frontend && CI='' npm run build
cp -r src/frontend/build src/backend/langflow/frontend cp -r src/frontend/build src/backend/base/langflow/frontend
build: build:
make build_langflow_base
make build_langflow
build_langflow:
poetry build-rewrite-path-deps --version-pinning-strategy=semver
build_langflow_base:
make install_frontend make install_frontend
make build_frontend make build_frontend
poetry build --format sdist cd src/backend/base && poetry build-rewrite-path-deps --version-pinning-strategy=semver
rm -rf src/backend/langflow/frontend rm -rf src/backend/base/langflow/frontend
dev: dev:
make install_frontend make install_frontend
@ -111,10 +127,18 @@ else
docker compose $(if $(debug),-f docker-compose.debug.yml) up docker compose $(if $(debug),-f docker-compose.debug.yml) up
endif endif
publish: publish_base:
make build make build_langflow_base
cd src/backend/base && poetry publish
publish_langflow:
make build_langflow
poetry publish poetry publish
publish:
make publish_base
make publish_langflow
help: help:
@echo '----' @echo '----'
@echo 'format - run code formatters' @echo 'format - run code formatters'

24
docs/docs/examples/flow-runner.mdx
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@ -35,7 +35,7 @@ We will cover how to:
<summary>Example Code</summary> <summary>Example Code</summary>
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class FlowRunner(CustomComponent): class FlowRunner(CustomComponent):
@ -75,7 +75,7 @@ class FlowRunner(CustomComponent):
<CH.Scrollycoding rows={20} className={""}> <CH.Scrollycoding rows={20} className={""}>
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
class MyComponent(CustomComponent): class MyComponent(CustomComponent):
@ -95,7 +95,7 @@ The typical structure of a Custom Component is composed of _`display_name`_ and
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
# focus # focus
@ -118,7 +118,7 @@ Let's start by defining our component's _`display_name`_ and _`description`_.
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
# focus # focus
from langchain.schema import Document from langchain.schema import Document
@ -140,7 +140,7 @@ Second, we will import _`Document`_ from the [_langchain.schema_](https://docs.l
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
# focus # focus
from langchain.schema import Document from langchain.schema import Document
@ -167,7 +167,7 @@ Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus:/
--- ---
```python focus=13:14 ```python focus=13:14
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
@ -189,7 +189,7 @@ We can now start writing the _`build`_ method. Let's list available flows in "My
--- ---
```python focus=15:18 ```python focus=15:18
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
@ -222,7 +222,7 @@ And retrieve a flow that matches the selected name (we'll make a dropdown input
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
@ -250,7 +250,7 @@ You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to cus
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
@ -287,7 +287,7 @@ The content of a document can be extracted using the _`page_content`_ attribute,
--- ---
```python focus=9:16 ```python focus=9:16
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
@ -365,4 +365,6 @@ Done! This is what our script and custom component looks like:
}} }}
/> />
</div> </div>import ZoomableImage from "/src/theme/ZoomableImage.js";
import Admonition from "@theme/Admonition";

24
docs/docs/guidelines/custom-component.mdx
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@ -30,7 +30,7 @@ Here is an example:
<CH.Code linuNumbers={false}> <CH.Code linuNumbers={false}>
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class DocumentProcessor(CustomComponent): class DocumentProcessor(CustomComponent):
@ -92,7 +92,7 @@ The Python script for every Custom Component should follow a set of rules. Let's
The script must contain a **single class** that inherits from _`CustomComponent`_. The script must contain a **single class** that inherits from _`CustomComponent`_.
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class MyComponent(CustomComponent): class MyComponent(CustomComponent):
@ -113,7 +113,7 @@ class MyComponent(CustomComponent):
This class requires a _`build`_ method used to run the component and define its fields. This class requires a _`build`_ method used to run the component and define its fields.
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class MyComponent(CustomComponent): class MyComponent(CustomComponent):
@ -134,7 +134,7 @@ class MyComponent(CustomComponent):
The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLLM, or basic Python types). Check out all supported types in the [component reference](../components/custom). The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLLM, or basic Python types). Check out all supported types in the [component reference](../components/custom).
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class MyComponent(CustomComponent): class MyComponent(CustomComponent):
@ -153,7 +153,7 @@ class MyComponent(CustomComponent):
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class MyComponent(CustomComponent): class MyComponent(CustomComponent):
@ -179,7 +179,7 @@ Check out the [component reference](../components/custom) for more details on th
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class MyComponent(CustomComponent): class MyComponent(CustomComponent):
@ -204,7 +204,7 @@ Let's create a custom component that processes a document (_`langchain.schema.Do
To start, let's choose a name for our component by adding a _`display_name`_ attribute. This name will appear on the canvas. The name of the class is not relevant, but let's call it _`DocumentProcessor`_. To start, let's choose a name for our component by adding a _`display_name`_ attribute. This name will appear on the canvas. The name of the class is not relevant, but let's call it _`DocumentProcessor`_.
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
# focus # focus
@ -227,7 +227,7 @@ class DocumentProcessor(CustomComponent):
We can also write a description for it using a _`description`_ attribute. We can also write a description for it using a _`description`_ attribute.
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class DocumentProcessor(CustomComponent): class DocumentProcessor(CustomComponent):
@ -244,7 +244,7 @@ class DocumentProcessor(CustomComponent):
--- ---
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class DocumentProcessor(CustomComponent): class DocumentProcessor(CustomComponent):
@ -287,7 +287,7 @@ The _`build_config`_ method is here defined to customize the component fields.
- _`display_name`_ is the name of the field to be displayed. - _`display_name`_ is the name of the field to be displayed.
```python ```python
from langflow import CustomComponent from langflow.custom import CustomComponent
from langchain.schema import Document from langchain.schema import Document
class DocumentProcessor(CustomComponent): class DocumentProcessor(CustomComponent):
@ -406,4 +406,6 @@ Langflow will attempt to load all of the components found in the specified direc
Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow canvas for use. However, please note that components with errors will not be available for addition to the canvas. Always ensure your code is error-free before attempting to load components. Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow canvas for use. However, please note that components with errors will not be available for addition to the canvas. Always ensure your code is error-free before attempting to load components.
Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding! Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!import ZoomableImage from "/src/theme/ZoomableImage.js";
import Admonition from "@theme/Admonition";

9
docs/docs/guidelines/features.mdx
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@ -49,7 +49,7 @@ The Code button shows snippets to use your flow as a Python object or an API.
Through the Langflow package, you can load a flow from a JSON file and use it as a LangChain object. Through the Langflow package, you can load a flow from a JSON file and use it as a LangChain object.
```py ```py
from langflow import load_flow_from_json from langflow.load import load_flow_from_json
flow = load_flow_from_json("path/to/flow.json") flow = load_flow_from_json("path/to/flow.json")
# Now you can use it like any chain # Now you can use it like any chain
@ -66,4 +66,9 @@ The example below shows a Python script making a POST request to a local API end
style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }} style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
> >
<ReactPlayer playing controls url="/videos/langflow_api.mp4" /> <ReactPlayer playing controls url="/videos/langflow_api.mp4" />
</div> </div>import ThemedImage from "@theme/ThemedImage";
import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";

1748
docs/static/json_files/SearchApi_Tool.json vendored
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File diff suppressed because one or more lines are too long

216
poetry.lock generated
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@ -3868,6 +3868,51 @@ files = [
[package.dependencies] [package.dependencies]
six = "*" six = "*"
[[package]]
name = "langflow-base"
version = "0.0.11"
description = "A Python package with a built-in web application"
optional = false
python-versions = ">=3.9,<3.12"
files = []
develop = true
[package.dependencies]
alembic = "^1.13.0"
bcrypt = "4.0.1"
cachetools = "^5.3.1"
docstring-parser = "^0.15"
fastapi = "^0.109.0"
gunicorn = "^21.2.0"
httpx = "^0.24.0"
langchain = "~0.1.0"
langchain-experimental = "*"
loguru = "^0.7.1"
multiprocess = "^0.70.14"
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"
python-jose = "^3.3.0"
python-multipart = "^0.0.7"
rich = "^13.7.0"
sqlmodel = "^0.0.14"
typer = "^0.9.0"
uvicorn = "^0.27.0"
websockets = "^10.3"
[package.extras]
all = []
deploy = []
local = []
[package.source]
type = "directory"
url = "src/backend/base"
[[package]] [[package]]
name = "langfuse" name = "langfuse"
version = "2.21.1" version = "2.21.1"
@ -7011,24 +7056,6 @@ tomli = {version = ">=1", markers = "python_version < \"3.11\""}
[package.extras] [package.extras]
testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "pytest-asyncio"
version = "0.23.6"
description = "Pytest support for asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-asyncio-0.23.6.tar.gz", hash = "sha256:ffe523a89c1c222598c76856e76852b787504ddb72dd5d9b6617ffa8aa2cde5f"},
{file = "pytest_asyncio-0.23.6-py3-none-any.whl", hash = "sha256:68516fdd1018ac57b846c9846b954f0393b26f094764a28c955eabb0536a4e8a"},
]
[package.dependencies]
pytest = ">=7.0.0,<9"
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
[[package]] [[package]]
name = "pytest-cov" name = "pytest-cov"
version = "4.1.0" version = "4.1.0"
@ -7632,19 +7659,19 @@ full = ["numpy"]
[[package]] [[package]]
name = "realtime" name = "realtime"
version = "1.0.2" version = "1.0.0"
description = "" description = ""
optional = false optional = false
python-versions = ">=3.8,<4.0" python-versions = ">=3.8,<4.0"
files = [ files = [
{file = "realtime-1.0.2-py3-none-any.whl", hash = "sha256:8f8375199fd917cd0ded818702321f91b208ab72794ade0a33cee9d55ae30f11"}, {file = "realtime-1.0.0-py3-none-any.whl", hash = "sha256:ceab9e292211ab08b5792ac52b3fa25398440031d5b369bd5799b8125056e2d8"},
{file = "realtime-1.0.2.tar.gz", hash = "sha256:776170a4329edc869b91e104c554cda02c8bf8e052cbb93c377e22482870959c"}, {file = "realtime-1.0.0.tar.gz", hash = "sha256:14e540c4a0cc2736ae83e0cbd7efbbfb8b736df1681df2b9141556cb4848502d"},
] ]
[package.dependencies] [package.dependencies]
python-dateutil = ">=2.8.1,<3.0.0" python-dateutil = ">=2.8.1,<3.0.0"
typing-extensions = ">=4.2.0,<5.0.0" typing-extensions = ">=4.2.0,<5.0.0"
websockets = ">=11.0,<12.0" websockets = ">=10.3,<11.0"
[[package]] [[package]]
name = "red-black-tree-mod" name = "red-black-tree-mod"
@ -9595,81 +9622,80 @@ test = ["websockets"]
[[package]] [[package]]
name = "websockets" name = "websockets"
version = "11.0.3" version = "10.4"
description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "websockets-11.0.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac"}, {file = "websockets-10.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d58804e996d7d2307173d56c297cf7bc132c52df27a3efaac5e8d43e36c21c48"},
{file = "websockets-11.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d"}, {file = "websockets-10.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc0b82d728fe21a0d03e65f81980abbbcb13b5387f733a1a870672c5be26edab"},
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] ]
[[package]] [[package]]
@ -10149,4 +10175,8 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.10,<3.12" python-versions = ">=3.10,<3.12"
<<<<<<< HEAD
content-hash = "5c98ec89f0dbbf60bc4bbcb3d9ea4b84176b8af34b54dd3c77c817ba132b49a1"
=======
content-hash = "304eb96cfcbfb376af189b8eae989c0ce36b47555db476bd33d488c2217f484e" content-hash = "304eb96cfcbfb376af189b8eae989c0ce36b47555db476bd33d488c2217f484e"
>>>>>>> origin/zustand/io/migration

28
pyproject.toml
View file

@ -24,30 +24,24 @@ documentation = "https://docs.langflow.org"
[tool.poetry.scripts] [tool.poetry.scripts]
langflow = "langflow.__main__:main" langflow = "langflow.__main__:main"
[tool.poetry-monorepo-dependency-plugin]
enable = true
[tool.poetry.dependencies] [tool.poetry.dependencies]
python = ">=3.10,<3.12" python = ">=3.10,<3.12"
langflow-base = { path = "./src/backend/base", develop = true }
duckdb = "^0.9.2" duckdb = "^0.9.2"
fastapi = "^0.109.0"
uvicorn = "^0.27.0"
beautifulsoup4 = "^4.12.2" beautifulsoup4 = "^4.12.2"
google-search-results = "^2.4.1" google-search-results = "^2.4.1"
google-api-python-client = "^2.118.0" google-api-python-client = "^2.118.0"
typer = "^0.9.0"
gunicorn = "^21.2.0"
langchain = "~0.1.0"
openai = "^1.12.0" openai = "^1.12.0"
pandas = "2.2.0"
chromadb = "^0.4.23" chromadb = "^0.4.23"
huggingface-hub = { version = "^0.20.0", extras = ["inference"] } huggingface-hub = { version = "^0.20.0", extras = ["inference"] }
rich = "^13.7.0"
llama-cpp-python = { version = "~0.2.0", optional = true } llama-cpp-python = { version = "~0.2.0", optional = true }
networkx = "^3.1" networkx = "^3.1"
pypdf = "^4.0.0" pypdf = "^4.0.0"
pysrt = "^1.1.2" pysrt = "^1.1.2"
fake-useragent = "^1.4.0" fake-useragent = "^1.4.0"
docstring-parser = "^0.15"
psycopg2-binary = "^2.9.6" psycopg2-binary = "^2.9.6"
pyarrow = "^14.0.0" pyarrow = "^14.0.0"
wikipedia = "^1.4.0" wikipedia = "^1.4.0"
@ -56,15 +50,9 @@ weaviate-client = "*"
sentence-transformers = { version = "^2.3.1", optional = true } sentence-transformers = { version = "^2.3.1", optional = true }
ctransformers = { version = "^0.2.10", optional = true } ctransformers = { version = "^0.2.10", optional = true }
cohere = "^4.47.0" cohere = "^4.47.0"
python-multipart = "^0.0.7"
sqlmodel = "^0.0.14"
faiss-cpu = "^1.7.4" faiss-cpu = "^1.7.4"
anthropic = "^0.21.0" anthropic = "^0.21.0"
orjson = "3.9.15"
multiprocess = "^0.70.14"
cachetools = "^5.3.1"
types-cachetools = "^5.3.0.5" types-cachetools = "^5.3.0.5"
platformdirs = "^4.2.0"
pinecone-client = "^3.0.3" pinecone-client = "^3.0.3"
pymongo = "^4.6.0" pymongo = "^4.6.0"
supabase = "^2.3.0" supabase = "^2.3.0"
@ -72,22 +60,15 @@ certifi = "^2023.11.17"
psycopg = "^3.1.9" psycopg = "^3.1.9"
psycopg-binary = "^3.1.9" psycopg-binary = "^3.1.9"
fastavro = "^1.8.0" fastavro = "^1.8.0"
langchain-experimental = "*"
celery = { extras = ["redis"], version = "^5.3.6", optional = true } celery = { extras = ["redis"], version = "^5.3.6", optional = true }
redis = { version = "^5.0.1", optional = true } redis = { version = "^5.0.1", optional = true }
flower = { version = "^2.0.0", optional = true } flower = { version = "^2.0.0", optional = true }
alembic = "^1.13.0"
passlib = "^1.7.4"
bcrypt = "4.0.1"
python-jose = "^3.3.0"
metaphor-python = "^0.1.11" metaphor-python = "^0.1.11"
pydantic = "^2.5.0" pydantic = "^2.5.0"
pydantic-settings = "^2.1.0" pydantic-settings = "^2.1.0"
zep-python = "*" zep-python = "*"
pywin32 = { version = "^306", markers = "sys_platform == 'win32'" } pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }
loguru = "^0.7.1"
langfuse = "^2.9.0" langfuse = "^2.9.0"
pillow = "^10.2.0"
metal-sdk = "^2.5.0" metal-sdk = "^2.5.0"
markupsafe = "^2.1.3" markupsafe = "^2.1.3"
extract-msg = "^0.47.0" extract-msg = "^0.47.0"
@ -118,7 +99,6 @@ python-docx = "^1.1.0"
langchain-astradb = "^0.1.0" langchain-astradb = "^0.1.0"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]
pytest-asyncio = "^0.23.1"
types-redis = "^4.6.0.5" types-redis = "^4.6.0.5"
ipykernel = "^6.29.0" ipykernel = "^6.29.0"
mypy = "^1.8.0" mypy = "^1.8.0"

0
src/backend/langflow/base/__init__.py → src/backend/base/README.md
View file

348
src/backend/base/langflow/__main__.py Normal file
View file

@ -0,0 +1,348 @@
import platform
import socket
import sys
import time
import webbrowser
from pathlib import Path
from typing import Optional
import httpx
import typer
from dotenv import load_dotenv
from multiprocess import Process, cpu_count # type: ignore
from rich import box
from rich import print as rprint
from rich.console import Console
from rich.panel import Panel
from rich.table import Table
from langflow.main import setup_app
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service, get_settings_service
from langflow.services.utils import initialize_services, initialize_settings_service
from langflow.utils.logger import configure, logger
console = Console()
app = typer.Typer(no_args_is_help=True)
def get_number_of_workers(workers=None):
if workers == -1 or workers is None:
workers = (cpu_count() * 2) + 1
logger.debug(f"Number of workers: {workers}")
return workers
def display_results(results):
"""
Display the results of the migration.
"""
for table_results in results:
table = Table(title=f"Migration {table_results.table_name}")
table.add_column("Name")
table.add_column("Type")
table.add_column("Status")
for result in table_results.results:
status = "Success" if result.success else "Failure"
color = "green" if result.success else "red"
table.add_row(result.name, result.type, f"[{color}]{status}[/{color}]")
console.print(table)
console.print() # Print a new line
def set_var_for_macos_issue():
# OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES
# we need to set this var is we are running on MacOS
# otherwise we get an error when running gunicorn
if platform.system() in ["Darwin"]:
import os
os.environ["OBJC_DISABLE_INITIALIZE_FORK_SAFETY"] = "YES"
# https://stackoverflow.com/questions/75747888/uwsgi-segmentation-fault-with-flask-python-app-behind-nginx-after-running-for-2 # noqa
os.environ["no_proxy"] = "*" # to avoid error with gunicorn
logger.debug("Set OBJC_DISABLE_INITIALIZE_FORK_SAFETY to YES to avoid error")
def update_settings(
config: str,
cache: Optional[str] = None,
dev: bool = False,
remove_api_keys: bool = False,
components_path: Optional[Path] = None,
store: bool = True,
):
"""Update the settings from a config file."""
# Check for database_url in the environment variables
initialize_settings_service()
settings_service = get_settings_service()
if config:
logger.debug(f"Loading settings from {config}")
settings_service.settings.update_from_yaml(config, dev=dev)
if remove_api_keys:
logger.debug(f"Setting remove_api_keys to {remove_api_keys}")
settings_service.settings.update_settings(REMOVE_API_KEYS=remove_api_keys)
if cache:
logger.debug(f"Setting cache to {cache}")
settings_service.settings.update_settings(CACHE=cache)
if components_path:
logger.debug(f"Adding component path {components_path}")
settings_service.settings.update_settings(COMPONENTS_PATH=components_path)
if not store:
logger.debug("Setting store to False")
settings_service.settings.update_settings(STORE=False)
@app.command()
def run(
host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"),
workers: int = typer.Option(1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"),
timeout: int = typer.Option(300, help="Worker timeout in seconds."),
port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"),
components_path: Optional[Path] = typer.Option(
Path(__file__).parent / "components",
help="Path to the directory containing custom components.",
envvar="LANGFLOW_COMPONENTS_PATH",
),
config: str = typer.Option(Path(__file__).parent / "config.yaml", help="Path to the configuration file."),
# .env file param
env_file: Path = typer.Option(None, help="Path to the .env file containing environment variables."),
log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"),
cache: Optional[str] = typer.Option(
envvar="LANGFLOW_LANGCHAIN_CACHE",
help="Type of cache to use. (InMemoryCache, SQLiteCache)",
default=None,
),
dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
path: str = typer.Option(
None,
help="Path to the frontend directory containing build files. This is for development purposes only.",
envvar="LANGFLOW_FRONTEND_PATH",
),
open_browser: bool = typer.Option(
True,
help="Open the browser after starting the server.",
envvar="LANGFLOW_OPEN_BROWSER",
),
remove_api_keys: bool = typer.Option(
False,
help="Remove API keys from the projects saved in the database.",
envvar="LANGFLOW_REMOVE_API_KEYS",
),
backend_only: bool = typer.Option(
False,
help="Run only the backend server without the frontend.",
envvar="LANGFLOW_BACKEND_ONLY",
),
store: bool = typer.Option(
True,
help="Enables the store features.",
envvar="LANGFLOW_STORE",
),
):
"""
Run the Langflow.
"""
set_var_for_macos_issue()
# override env variables with .env file
if env_file:
load_dotenv(env_file, override=True)
configure(log_level=log_level, log_file=log_file)
update_settings(
config,
dev=dev,
remove_api_keys=remove_api_keys,
cache=cache,
components_path=components_path,
store=store,
)
# 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, backend_only=backend_only)
# check if port is being used
if is_port_in_use(port, host):
port = get_free_port(port)
options = {
"bind": f"{host}:{port}",
"workers": get_number_of_workers(workers),
"timeout": timeout,
}
# Define an env variable to know if we are just testing the server
if "pytest" in sys.modules:
return
if platform.system() in ["Windows"]:
# Run using uvicorn on MacOS and Windows
# Windows doesn't support gunicorn
# MacOS requires an env variable to be set to use gunicorn
run_on_windows(host, port, log_level, options, app)
else:
# Run using gunicorn on Linux
run_on_mac_or_linux(host, port, log_level, options, app, open_browser)
def run_on_mac_or_linux(host, port, log_level, options, app, open_browser=True):
webapp_process = Process(target=run_langflow, args=(host, port, log_level, options, app))
webapp_process.start()
status_code = 0
while status_code != 200:
try:
status_code = httpx.get(f"http://{host}:{port}/health").status_code
except Exception:
time.sleep(1)
print_banner(host, port)
if open_browser:
webbrowser.open(f"http://{host}:{port}")
def run_on_windows(host, port, log_level, options, app):
"""
Run the Langflow server on Windows.
"""
print_banner(host, port)
run_langflow(host, port, log_level, options, app)
def is_port_in_use(port, host="localhost"):
"""
Check if a port is in use.
Args:
port (int): The port number to check.
host (str): The host to check the port on. Defaults to 'localhost'.
Returns:
bool: True if the port is in use, False otherwise.
"""
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
return s.connect_ex((host, port)) == 0
def get_free_port(port):
"""
Given a used port, find a free port.
Args:
port (int): The port number to check.
Returns:
int: A free port number.
"""
while is_port_in_use(port):
port += 1
return port
def print_banner(host, port):
# console = Console()
word = "Langflow"
colors = ["#3300cc"]
styled_word = ""
for i, char in enumerate(word):
color = colors[i % len(colors)]
styled_word += f"[{color}]{char}[/]"
# Title with emojis and gradient text
title = (
f"[bold]Welcome to :chains: {styled_word} [/bold]\n\n"
f"Access [link=http://{host}:{port}]http://{host}:{port}[/link]"
)
info_text = (
"Collaborate, and contribute at our "
"[bold][link=https://github.com/logspace-ai/langflow]GitHub Repo[/link][/bold] :rocket:"
)
# Create a panel with the title and the info text, and a border around it
panel = Panel(f"{title}\n{info_text}", box=box.ROUNDED, border_style="blue", expand=False)
# Print the banner with a separator line before and after
rprint(panel)
def run_langflow(host, port, log_level, options, app):
"""
Run Langflow server on localhost
"""
try:
if platform.system() in ["Windows"]:
# Run using uvicorn on MacOS and Windows
# Windows doesn't support gunicorn
# MacOS requires an env variable to be set to use gunicorn
import uvicorn
uvicorn.run(app, host=host, port=port, log_level=log_level)
else:
from langflow.server import LangflowApplication
LangflowApplication(app, options).run()
except KeyboardInterrupt:
pass
except Exception as e:
logger.exception(e)
sys.exit(1)
@app.command()
def superuser(
username: str = typer.Option(..., prompt=True, help="Username for the superuser."),
password: str = typer.Option(..., prompt=True, hide_input=True, help="Password for the superuser."),
log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
):
"""
Create a superuser.
"""
configure(log_level=log_level)
initialize_services()
db_service = get_db_service()
with session_getter(db_service) as session:
from langflow.services.auth.utils import create_super_user
if create_super_user(db=session, username=username, password=password):
# Verify that the superuser was created
from langflow.services.database.models.user.model import User
user: User = session.query(User).filter(User.username == username).first()
if user is None or not user.is_superuser:
typer.echo("Superuser creation failed.")
return
typer.echo("Superuser created successfully.")
else:
typer.echo("Superuser creation failed.")
@app.command()
def migration(test: bool = typer.Option(True, help="Run migrations in test mode.")):
"""
Run or test migrations.
"""
initialize_services()
db_service = get_db_service()
if not test:
db_service.run_migrations()
results = db_service.run_migrations_test()
display_results(results)
def main():
app()
if __name__ == "__main__":
main()

0
src/backend/langflow/alembic.ini → src/backend/base/langflow/alembic.ini
View file

0
src/backend/langflow/alembic/README → src/backend/base/langflow/alembic/README
View file

12
src/backend/langflow/alembic/env.py → src/backend/base/langflow/alembic/env.py
View file

@ -66,14 +66,10 @@ def run_migrations_online() -> None:
try: try:
from langflow.services.database.factory import DatabaseServiceFactory from langflow.services.database.factory import DatabaseServiceFactory
from langflow.services.deps import get_db_service from langflow.services.deps import get_db_service
from langflow.services.manager import (initialize_settings_service, from langflow.services.manager import initialize_settings_service, service_manager
service_manager)
from langflow.services.schema import ServiceType
initialize_settings_service() initialize_settings_service()
service_manager.register_factory( service_manager.register_factory(DatabaseServiceFactory())
DatabaseServiceFactory()
)
connectable = get_db_service().engine connectable = get_db_service().engine
except Exception as e: except Exception as e:
logger.error(f"Error getting database engine: {e}") logger.error(f"Error getting database engine: {e}")
@ -87,9 +83,7 @@ def run_migrations_online() -> None:
poolclass=pool.NullPool, poolclass=pool.NullPool,
) )
with connectable.connect() as connection: with connectable.connect() as connection:
context.configure( context.configure(connection=connection, target_metadata=target_metadata, render_as_batch=True)
connection=connection, target_metadata=target_metadata, render_as_batch=True
)
with context.begin_transaction(): with context.begin_transaction():
context.run_migrations() context.run_migrations()

0
src/backend/langflow/helpers/__init__.py → src/backend/base/langflow/alembic/helpers/__init__.py
View file

0
src/backend/langflow/helpers/flow.py → src/backend/base/langflow/alembic/helpers/flow.py
View file

0
src/backend/langflow/helpers/record.py → src/backend/base/langflow/alembic/helpers/record.py
View file

0
src/backend/langflow/alembic/script.py.mako → src/backend/base/langflow/alembic/script.py.mako
View file

18
src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py → src/backend/base/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
View file

@ -26,20 +26,13 @@ def upgrade() -> None:
flow_constraints = inspector.get_unique_constraints("flow") flow_constraints = inspector.get_unique_constraints("flow")
user_constraints = inspector.get_unique_constraints("user") user_constraints = inspector.get_unique_constraints("user")
try: try:
if not any( if not any(constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints):
constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
):
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.create_unique_constraint("uq_apikey_id", ["id"]) batch_op.create_unique_constraint("uq_apikey_id", ["id"])
if not any( if not any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
constraint["name"] == "uq_flow_id" for constraint in flow_constraints
):
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.create_unique_constraint("uq_flow_id", ["id"]) batch_op.create_unique_constraint("uq_flow_id", ["id"])
if not any( if not any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
constraint["name"] == "uq_user_id" for constraint in user_constraints
):
with op.batch_alter_table("user", schema=None) as batch_op: with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.create_unique_constraint("uq_user_id", ["id"]) batch_op.create_unique_constraint("uq_user_id", ["id"])
except Exception as e: except Exception as e:
@ -57,16 +50,13 @@ def downgrade() -> None:
flow_constraints = inspector.get_unique_constraints("flow") flow_constraints = inspector.get_unique_constraints("flow")
user_constraints = inspector.get_unique_constraints("user") user_constraints = inspector.get_unique_constraints("user")
try: try:
if any( if any(constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints):
constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
):
with op.batch_alter_table("user", schema=None) as batch_op: with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.drop_constraint("uq_user_id", type_="unique") batch_op.drop_constraint("uq_user_id", type_="unique")
if any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints): if any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.drop_constraint("uq_flow_id", type_="unique") batch_op.drop_constraint("uq_flow_id", type_="unique")
if any(constraint["name"] == "uq_user_id" for constraint in user_constraints): if any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.drop_constraint("uq_apikey_id", type_="unique") batch_op.drop_constraint("uq_apikey_id", type_="unique")
except Exception as e: except Exception as e:

0
src/backend/langflow/alembic/versions/0b8757876a7c_.py → src/backend/base/langflow/alembic/versions/0b8757876a7c_.py
View file

8
src/backend/langflow/alembic/versions/1ef9c4f3765d_.py → src/backend/base/langflow/alembic/versions/1ef9c4f3765d_.py
View file

@ -24,10 +24,8 @@ def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column( batch_op.alter_column("name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True)
"name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True except Exception:
)
except Exception as e:
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###
@ -37,6 +35,6 @@ def downgrade() -> None:
try: try:
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False) batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
except Exception as e: except Exception:
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###

43
src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py → src/backend/base/langflow/alembic/versions/260dbcc8b680_adds_tables.py
View file

@ -31,23 +31,16 @@ def upgrade() -> None:
# and other related indices # and other related indices
if "flowstyle" in existing_tables: if "flowstyle" in existing_tables:
op.drop_table("flowstyle") op.drop_table("flowstyle")
if "ix_flowstyle_flow_id" in [ if "ix_flowstyle_flow_id" in [index["name"] for index in inspector.get_indexes("flowstyle")]:
index["name"] for index in inspector.get_indexes("flowstyle") op.drop_index("ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True)
]:
op.drop_index(
"ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True
)
existing_indices_flow = [] existing_indices_flow = []
existing_fks_flow = [] existing_fks_flow = []
if "flow" in existing_tables: if "flow" in existing_tables:
existing_indices_flow = [ existing_indices_flow = [index["name"] for index in inspector.get_indexes("flow")]
index["name"] for index in inspector.get_indexes("flow")
]
# Existing foreign keys for the 'flow' table, if it exists # Existing foreign keys for the 'flow' table, if it exists
existing_fks_flow = [ existing_fks_flow = [
fk["referred_table"] + "." + fk["referred_columns"][0] fk["referred_table"] + "." + fk["referred_columns"][0] for fk in inspector.get_foreign_keys("flow")
for fk in inspector.get_foreign_keys("flow")
] ]
# Now check if the columns user_id exists in the 'flow' table # Now check if the columns user_id exists in the 'flow' table
# If it does not exist, we need to create the foreign key # If it does not exist, we need to create the foreign key
@ -67,9 +60,7 @@ def upgrade() -> None:
sa.UniqueConstraint("id", name="uq_user_id"), sa.UniqueConstraint("id", name="uq_user_id"),
) )
with op.batch_alter_table("user", schema=None) as batch_op: with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.create_index( batch_op.create_index(batch_op.f("ix_user_username"), ["username"], unique=True)
batch_op.f("ix_user_username"), ["username"], unique=True
)
if "apikey" not in existing_tables: if "apikey" not in existing_tables:
op.create_table( op.create_table(
@ -82,20 +73,14 @@ def upgrade() -> None:
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False), sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.ForeignKeyConstraint( sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_apikey_user_id_user"),
["user_id"], ["user.id"], name="fk_apikey_user_id_user"
),
sa.PrimaryKeyConstraint("id", name="pk_apikey"), sa.PrimaryKeyConstraint("id", name="pk_apikey"),
sa.UniqueConstraint("id", name="uq_apikey_id"), sa.UniqueConstraint("id", name="uq_apikey_id"),
) )
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.create_index( batch_op.create_index(batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True)
batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True
)
batch_op.create_index(batch_op.f("ix_apikey_name"), ["name"], unique=False) batch_op.create_index(batch_op.f("ix_apikey_name"), ["name"], unique=False)
batch_op.create_index( batch_op.create_index(batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False)
batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False
)
if "flow" not in existing_tables: if "flow" not in existing_tables:
op.create_table( op.create_table(
"flow", "flow",
@ -104,9 +89,7 @@ def upgrade() -> None:
sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True), sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.ForeignKeyConstraint( sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_flow_user_id_user"),
["user_id"], ["user.id"], name="fk_flow_user_id_user"
),
sa.PrimaryKeyConstraint("id", name="pk_flow"), sa.PrimaryKeyConstraint("id", name="pk_flow"),
sa.UniqueConstraint("id", name="uq_flow_id"), sa.UniqueConstraint("id", name="uq_flow_id"),
) )
@ -129,16 +112,12 @@ def upgrade() -> None:
if "user.id" not in existing_fks_flow: if "user.id" not in existing_fks_flow:
batch_op.create_foreign_key("fk_flow_user_id", "user", ["user_id"], ["id"]) batch_op.create_foreign_key("fk_flow_user_id", "user", ["user_id"], ["id"])
if "ix_flow_description" not in existing_indices_flow: if "ix_flow_description" not in existing_indices_flow:
batch_op.create_index( batch_op.create_index(batch_op.f("ix_flow_description"), ["description"], unique=False)
batch_op.f("ix_flow_description"), ["description"], unique=False
)
if "ix_flow_name" not in existing_indices_flow: if "ix_flow_name" not in existing_indices_flow:
batch_op.create_index(batch_op.f("ix_flow_name"), ["name"], unique=False) batch_op.create_index(batch_op.f("ix_flow_name"), ["name"], unique=False)
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
if "ix_flow_user_id" not in existing_indices_flow: if "ix_flow_user_id" not in existing_indices_flow:
batch_op.create_index( batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
)
# ### end Alembic commands ### # ### end Alembic commands ###

4
src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py → src/backend/base/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
View file

@ -31,9 +31,7 @@ def upgrade() -> None:
"credential", "credential",
sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True), sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True), sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column( sa.Column("provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
"provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True
),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("created_at", sa.DateTime(), nullable=False), sa.Column("created_at", sa.DateTime(), nullable=False),

14
src/backend/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py → src/backend/base/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
View file

@ -23,20 +23,14 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
conn = op.get_bind() conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names() table_names = inspector.get_table_names() # noqa
column_names = [column["name"] for column in inspector.get_columns("flow")] column_names = [column["name"] for column in inspector.get_columns("flow")]
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
if "icon" not in column_names: if "icon" not in column_names:
batch_op.add_column( batch_op.add_column(sa.Column("icon", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
sa.Column("icon", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
)
if "icon_bg_color" not in column_names: if "icon_bg_color" not in column_names:
batch_op.add_column( batch_op.add_column(sa.Column("icon_bg_color", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
sa.Column(
"icon_bg_color", sqlmodel.sql.sqltypes.AutoString(), nullable=True
)
)
# ### end Alembic commands ### # ### end Alembic commands ###
@ -44,7 +38,7 @@ def upgrade() -> None:
def downgrade() -> None: def downgrade() -> None:
conn = op.get_bind() conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names() table_names = inspector.get_table_names() # noqa
column_names = [column["name"] for column in inspector.get_columns("flow")] column_names = [column["name"] for column in inspector.get_columns("flow")]
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:

0
src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py → src/backend/base/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
View file

12
src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py → src/backend/base/langflow/alembic/versions/7843803a87b5_store_updates.py
View file

@ -29,18 +29,14 @@ def upgrade() -> None:
try: try:
if "is_component" not in flow_columns: if "is_component" not in flow_columns:
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.add_column( batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
sa.Column("is_component", sa.Boolean(), nullable=True) except Exception:
)
except Exception as e:
pass pass
try: try:
if "store_api_key" not in user_columns: if "store_api_key" not in user_columns:
with op.batch_alter_table("user", schema=None) as batch_op: with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.add_column( batch_op.add_column(sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True))
sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True) except Exception:
)
except Exception as e:
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###

15
src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py → src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
View file

@ -30,9 +30,7 @@ def upgrade() -> None:
try: try:
if "name" in api_key_columns: if "name" in api_key_columns:
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column( batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
"name", existing_type=sa.VARCHAR(), nullable=False
)
except Exception as e: except Exception as e:
print(e) print(e)
@ -40,15 +38,9 @@ def upgrade() -> None:
try: try:
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
if "updated_at" not in flow_columns: if "updated_at" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
sa.Column("updated_at", sa.DateTime(), nullable=True)
)
if "folder" not in flow_columns: if "folder" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
sa.Column(
"folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
)
)
except Exception as e: except Exception as e:
print(e) print(e)
@ -68,7 +60,6 @@ def downgrade() -> None:
pass pass
try: try:
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True) batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
except Exception as e: except Exception as e:

26
src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py → src/backend/base/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
View file

@ -32,33 +32,19 @@ def upgrade() -> None:
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
flow_columns = [column["name"] for column in inspector.get_columns("flow")] flow_columns = [column["name"] for column in inspector.get_columns("flow")]
if "is_component" not in flow_columns: if "is_component" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
sa.Column("is_component", sa.Boolean(), nullable=True)
)
if "updated_at" not in flow_columns: if "updated_at" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
sa.Column("updated_at", sa.DateTime(), nullable=True)
)
if "folder" not in flow_columns: if "folder" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
sa.Column(
"folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
)
)
if "user_id" not in flow_columns: if "user_id" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
)
indices = inspector.get_indexes("flow") indices = inspector.get_indexes("flow")
indices_names = [index["name"] for index in indices] indices_names = [index["name"] for index in indices]
if "ix_flow_user_id" not in indices_names: if "ix_flow_user_id" not in indices_names:
batch_op.create_index( batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
)
if "fk_flow_user_id_user" not in indices_names: if "fk_flow_user_id_user" not in indices_names:
batch_op.create_foreign_key( batch_op.create_foreign_key("fk_flow_user_id_user", "user", ["user_id"], ["id"])
"fk_flow_user_id_user", "user", ["user_id"], ["id"]
)
except Exception: except Exception:
pass pass

16
src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py → src/backend/base/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
View file

@ -33,21 +33,13 @@ def upgrade() -> None:
if "updated_at" not in flow_columns: if "updated_at" not in flow_columns:
batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True)) batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
if "folder" not in flow_columns: if "folder" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
)
if "user_id" not in flow_columns: if "user_id" not in flow_columns:
batch_op.add_column( batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
)
if "ix_flow_user_id" not in flow_indexes: if "ix_flow_user_id" not in flow_indexes:
batch_op.create_index( batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
)
if "flow_user_id_fkey" not in flow_fks: if "flow_user_id_fkey" not in flow_fks:
batch_op.create_foreign_key( batch_op.create_foreign_key("flow_user_id_fkey", "user", ["user_id"], ["id"])
"flow_user_id_fkey", "user", ["user_id"], ["id"]
)
def downgrade() -> None: def downgrade() -> None:

2
src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py → src/backend/base/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
View file

@ -19,7 +19,7 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
connection = op.get_bind() connection = op.get_bind() # noqa
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###

8
src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py → src/backend/base/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
View file

@ -22,9 +22,7 @@ def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.alter_column( batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=True)
"user_id", existing_type=sa.CHAR(length=32), nullable=True
)
except Exception as e: except Exception as e:
print(e) print(e)
pass pass
@ -36,9 +34,7 @@ def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.alter_column( batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=False)
"user_id", existing_type=sa.CHAR(length=32), nullable=False
)
except Exception as e: except Exception as e:
print(e) print(e)
pass pass

4
src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py → src/backend/base/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
View file

@ -31,9 +31,7 @@ def upgrade() -> None:
try: try:
if "credential" in tables and "fk_credential_user_id" not in foreign_keys_names: if "credential" in tables and "fk_credential_user_id" not in foreign_keys_names:
with op.batch_alter_table("credential", schema=None) as batch_op: with op.batch_alter_table("credential", schema=None) as batch_op:
batch_op.create_foreign_key( batch_op.create_foreign_key("fk_credential_user_id", "user", ["user_id"], ["id"])
"fk_credential_user_id", "user", ["user_id"], ["id"]
)
except Exception as e: except Exception as e:
print(e) print(e)
pass pass

0
src/backend/langflow/api/__init__.py → src/backend/base/langflow/api/__init__.py
View file

0
src/backend/langflow/api/router.py → src/backend/base/langflow/api/router.py
View file

0
src/backend/langflow/api/utils.py → src/backend/base/langflow/api/utils.py
View file

0
src/backend/langflow/api/v1/__init__.py → src/backend/base/langflow/api/v1/__init__.py
View file

16
src/backend/langflow/api/v1/api_key.py → src/backend/base/langflow/api/v1/api_key.py
View file

@ -8,20 +8,10 @@ from langflow.api.v1.schemas import ApiKeyCreateRequest, ApiKeysResponse
from langflow.services.auth import utils as auth_utils from langflow.services.auth import utils as auth_utils
# Assuming you have these methods in your service layer # Assuming you have these methods in your service layer
from langflow.services.database.models.api_key.crud import ( from langflow.services.database.models.api_key.crud import create_api_key, delete_api_key, get_api_keys
create_api_key, from langflow.services.database.models.api_key.model import ApiKeyCreate, UnmaskedApiKeyRead
delete_api_key,
get_api_keys,
)
from langflow.services.database.models.api_key.model import (
ApiKeyCreate,
UnmaskedApiKeyRead,
)
from langflow.services.database.models.user.model import User from langflow.services.database.models.user.model import User
from langflow.services.deps import ( from langflow.services.deps import get_session, get_settings_service
get_session,
get_settings_service,
)
if TYPE_CHECKING: if TYPE_CHECKING:
pass pass

0
src/backend/langflow/api/v1/base.py → src/backend/base/langflow/api/v1/base.py
View file

0
src/backend/langflow/api/v1/callback.py → src/backend/base/langflow/api/v1/callback.py
View file

0
src/backend/langflow/api/v1/chat.py → src/backend/base/langflow/api/v1/chat.py
View file

0
src/backend/langflow/api/v1/credential.py → src/backend/base/langflow/api/v1/credential.py
View file

2
src/backend/langflow/api/v1/endpoints.py → src/backend/base/langflow/api/v1/endpoints.py
View file

@ -239,7 +239,7 @@ async def create_upload_file(
# get endpoint to return version of langflow # get endpoint to return version of langflow
@router.get("/version") @router.get("/version")
def get_version(): def get_version():
from langflow import __version__ from langflow.version import __version__
return {"version": __version__} return {"version": __version__}

2
src/backend/langflow/api/v1/files.py → src/backend/base/langflow/api/v1/files.py
View file

@ -4,6 +4,8 @@ from io import BytesIO
from fastapi import APIRouter, Depends, HTTPException, UploadFile from fastapi import APIRouter, Depends, HTTPException, UploadFile
from fastapi.responses import StreamingResponse from fastapi.responses import StreamingResponse
from langflow.api.v1.schemas import UploadFileResponse from langflow.api.v1.schemas import UploadFileResponse
from langflow.services.auth.utils import get_current_active_user from langflow.services.auth.utils import get_current_active_user
from langflow.services.database.models.flow import Flow from langflow.services.database.models.flow import Flow

7
src/backend/langflow/api/v1/flows.py → src/backend/base/langflow/api/v1/flows.py
View file

@ -12,12 +12,7 @@ from langflow.api.utils import remove_api_keys, validate_is_component
from langflow.api.v1.schemas import FlowListCreate, FlowListRead from langflow.api.v1.schemas import FlowListCreate, FlowListRead
from langflow.initial_setup.setup import STARTER_FOLDER_NAME from langflow.initial_setup.setup import STARTER_FOLDER_NAME
from langflow.services.auth.utils import get_current_active_user from langflow.services.auth.utils import get_current_active_user
from langflow.services.database.models.flow import ( from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
Flow,
FlowCreate,
FlowRead,
FlowUpdate,
)
from langflow.services.database.models.user.model import User from langflow.services.database.models.user.model import User
from langflow.services.deps import get_session, get_settings_service from langflow.services.deps import get_session, get_settings_service
from langflow.services.settings.service import SettingsService from langflow.services.settings.service import SettingsService

0
src/backend/langflow/api/v1/login.py → src/backend/base/langflow/api/v1/login.py
View file

2
src/backend/langflow/api/v1/monitor.py → src/backend/base/langflow/api/v1/monitor.py
View file

@ -1,6 +1,8 @@
from typing import Optional from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, Query from fastapi import APIRouter, Depends, HTTPException, Query
from langflow.services.deps import get_monitor_service from langflow.services.deps import get_monitor_service
from langflow.services.monitor.schema import VertexBuildMapModel from langflow.services.monitor.schema import VertexBuildMapModel
from langflow.services.monitor.service import MonitorService from langflow.services.monitor.service import MonitorService

0
src/backend/langflow/api/v1/schemas.py → src/backend/base/langflow/api/v1/schemas.py
View file

0
src/backend/langflow/api/v1/store.py → src/backend/base/langflow/api/v1/store.py
View file

0
src/backend/langflow/api/v1/users.py → src/backend/base/langflow/api/v1/users.py
View file

7
src/backend/langflow/api/v1/validate.py → src/backend/base/langflow/api/v1/validate.py
View file

@ -3,12 +3,7 @@ from collections import defaultdict
from fastapi import APIRouter, HTTPException from fastapi import APIRouter, HTTPException
from loguru import logger from loguru import logger
from langflow.api.v1.base import ( from langflow.api.v1.base import Code, CodeValidationResponse, PromptValidationResponse, ValidatePromptRequest
Code,
CodeValidationResponse,
PromptValidationResponse,
ValidatePromptRequest,
)
from langflow.base.prompts.utils import ( from langflow.base.prompts.utils import (
add_new_variables_to_template, add_new_variables_to_template,
get_old_custom_fields, get_old_custom_fields,

0
src/backend/langflow/base/agents/__init__.py → src/backend/base/langflow/base/__init__.py
View file

0
src/backend/langflow/base/data/__init__.py → src/backend/base/langflow/base/agents/__init__.py
View file

3
src/backend/langflow/base/agents/agent.py → src/backend/base/langflow/base/agents/agent.py
View file

@ -1,9 +1,8 @@
from typing import List, Union from typing import List, Union
from langchain.agents import AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent from langchain.agents import AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent
from langflow import CustomComponent
from langflow.field_typing import BaseMemory, Text, Tool from langflow.field_typing import BaseMemory, Text, Tool
from langflow.interface.custom.custom_component import CustomComponent
class LCAgentComponent(CustomComponent): class LCAgentComponent(CustomComponent):

0
src/backend/langflow/base/io/__init__.py → src/backend/base/langflow/base/data/__init__.py
View file

0
src/backend/langflow/base/data/utils.py → src/backend/base/langflow/base/data/utils.py
View file

0
src/backend/langflow/base/prompts/__init__.py → src/backend/base/langflow/base/io/__init__.py
View file

2
src/backend/langflow/base/io/chat.py → src/backend/base/langflow/base/io/chat.py
View file

@ -1,8 +1,8 @@
import warnings import warnings
from typing import Optional, Union from typing import Optional, Union
from langflow import CustomComponent
from langflow.field_typing import Text from langflow.field_typing import Text
from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import add_messages from langflow.memory import add_messages
from langflow.schema import Record from langflow.schema import Record

2
src/backend/langflow/base/io/text.py → src/backend/base/langflow/base/io/text.py
View file

@ -1,7 +1,7 @@
from typing import Optional from typing import Optional
from langflow import CustomComponent
from langflow.field_typing import Text from langflow.field_typing import Text
from langflow.interface.custom.custom_component import CustomComponent
class TextComponent(CustomComponent): class TextComponent(CustomComponent):

0
src/backend/langflow/base/models/__init__.py → src/backend/base/langflow/base/models/__init__.py
View file

2
src/backend/langflow/base/models/model.py → src/backend/base/langflow/base/models/model.py
View file

@ -4,7 +4,7 @@ from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.language_models.llms import LLM from langchain_core.language_models.llms import LLM
from langchain_core.messages import HumanMessage, SystemMessage from langchain_core.messages import HumanMessage, SystemMessage
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
class LCModelComponent(CustomComponent): class LCModelComponent(CustomComponent):

0
src/backend/langflow/components/documentloaders/__init__.py → src/backend/base/langflow/base/prompts/__init__.py
View file

0
src/backend/langflow/base/prompts/utils.py → src/backend/base/langflow/base/prompts/utils.py
View file

0
src/backend/langflow/components/__init__.py → src/backend/base/langflow/components/__init__.py
View file

3
src/backend/langflow/components/agents/AgentInitializer.py → src/backend/base/langflow/components/agents/AgentInitializer.py
View file

@ -1,8 +1,9 @@
from typing import Callable, List, Optional, Union from typing import Callable, List, Optional, Union
from langchain.agents import AgentExecutor, AgentType, initialize_agent, types from langchain.agents import AgentExecutor, AgentType, initialize_agent, types
from langflow import CustomComponent
from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool
from langflow.interface.custom.custom_component import CustomComponent
class AgentInitializerComponent(CustomComponent): class AgentInitializerComponent(CustomComponent):

2
src/backend/langflow/components/agents/CSVAgent.py → src/backend/base/langflow/components/agents/CSVAgent.py
View file

@ -1,6 +1,6 @@
from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent
from langflow import CustomComponent from langflow.custom import CustomComponent
from langflow.field_typing import AgentExecutor, BaseLanguageModel from langflow.field_typing import AgentExecutor, BaseLanguageModel

5
src/backend/langflow/components/agents/JsonAgent.py → src/backend/base/langflow/components/agents/JsonAgent.py
View file

@ -1,9 +1,10 @@
from langflow import CustomComponent
from langchain.agents import AgentExecutor, create_json_agent from langchain.agents import AgentExecutor, create_json_agent
from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
from langflow.field_typing import ( from langflow.field_typing import (
BaseLanguageModel, BaseLanguageModel,
) )
from langchain_community.agent_toolkits.json.toolkit import JsonToolkit from langflow.interface.custom.custom_component import CustomComponent
class JsonAgentComponent(CustomComponent): class JsonAgentComponent(CustomComponent):

3
src/backend/langflow/components/agents/OpenAIConversationalAgent.py → src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py
View file

@ -9,8 +9,9 @@ from langchain.prompts.chat import MessagesPlaceholder
from langchain.schema.memory import BaseMemory from langchain.schema.memory import BaseMemory
from langchain.tools import Tool from langchain.tools import Tool
from langchain_community.chat_models import ChatOpenAI from langchain_community.chat_models import ChatOpenAI
from langflow import CustomComponent
from langflow.field_typing.range_spec import RangeSpec from langflow.field_typing.range_spec import RangeSpec
from langflow.interface.custom.custom_component import CustomComponent
class ConversationalAgent(CustomComponent): class ConversationalAgent(CustomComponent):

10
src/backend/langflow/components/agents/SQLAgent.py → src/backend/base/langflow/components/agents/SQLAgent.py
View file

@ -1,10 +1,12 @@
from langflow import CustomComponent from typing import Callable, Union
from typing import Union, Callable
from langchain.agents import AgentExecutor from langchain.agents import AgentExecutor
from langflow.field_typing import BaseLanguageModel
from langchain_community.agent_toolkits.sql.base import create_sql_agent
from langchain.sql_database import SQLDatabase from langchain.sql_database import SQLDatabase
from langchain_community.agent_toolkits import SQLDatabaseToolkit from langchain_community.agent_toolkits import SQLDatabaseToolkit
from langchain_community.agent_toolkits.sql.base import create_sql_agent
from langflow.field_typing import BaseLanguageModel
from langflow.interface.custom.custom_component import CustomComponent
class SQLAgentComponent(CustomComponent): class SQLAgentComponent(CustomComponent):

6
src/backend/langflow/components/agents/VectorStoreAgent.py → src/backend/base/langflow/components/agents/VectorStoreAgent.py
View file

@ -1,8 +1,10 @@
from langflow import CustomComponent from typing import Callable, Union
from langchain.agents import AgentExecutor, create_vectorstore_agent from langchain.agents import AgentExecutor, create_vectorstore_agent
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit
from typing import Union, Callable
from langflow.field_typing import BaseLanguageModel from langflow.field_typing import BaseLanguageModel
from langflow.interface.custom.custom_component import CustomComponent
class VectorStoreAgentComponent(CustomComponent): class VectorStoreAgentComponent(CustomComponent):

10
src/backend/langflow/components/agents/VectorStoreRouterAgent.py → src/backend/base/langflow/components/agents/VectorStoreRouterAgent.py
View file

@ -1,9 +1,11 @@
from langflow import CustomComponent
from langchain_core.language_models.base import BaseLanguageModel
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
from langchain.agents import create_vectorstore_router_agent
from typing import Callable from typing import Callable
from langchain.agents import create_vectorstore_router_agent
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
from langchain_core.language_models.base import BaseLanguageModel
from langflow.interface.custom.custom_component import CustomComponent
class VectorStoreRouterAgentComponent(CustomComponent): class VectorStoreRouterAgentComponent(CustomComponent):
display_name = "VectorStoreRouterAgent" display_name = "VectorStoreRouterAgent"

0
src/backend/langflow/components/agents/XMLAgent.py → src/backend/base/langflow/components/agents/XMLAgent.py
View file

0
src/backend/langflow/components/agents/__init__.py → src/backend/base/langflow/components/agents/__init__.py
View file

2
src/backend/langflow/components/chains/ConversationChain.py → src/backend/base/langflow/components/chains/ConversationChain.py
View file

@ -2,8 +2,8 @@ from typing import Optional
from langchain.chains import ConversationChain from langchain.chains import ConversationChain
from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, BaseMemory, Text from langflow.field_typing import BaseLanguageModel, BaseMemory, Text
from langflow.interface.custom.custom_component import CustomComponent
class ConversationChainComponent(CustomComponent): class ConversationChainComponent(CustomComponent):

9
src/backend/langflow/components/chains/LLMChain.py → src/backend/base/langflow/components/chains/LLMChain.py
View file

@ -2,13 +2,8 @@ from typing import Optional
from langchain.chains import LLMChain from langchain.chains import LLMChain
from langflow import CustomComponent from langflow.field_typing import BaseLanguageModel, BaseMemory, BasePromptTemplate, Text
from langflow.field_typing import ( from langflow.interface.custom.custom_component import CustomComponent
BaseLanguageModel,
BaseMemory,
BasePromptTemplate,
Text,
)
class LLMChainComponent(CustomComponent): class LLMChainComponent(CustomComponent):

2
src/backend/langflow/components/chains/LLMCheckerChain.py → src/backend/base/langflow/components/chains/LLMCheckerChain.py
View file

@ -1,7 +1,7 @@
from langchain.chains import LLMCheckerChain from langchain.chains import LLMCheckerChain
from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, Text from langflow.field_typing import BaseLanguageModel, Text
from langflow.interface.custom.custom_component import CustomComponent
class LLMCheckerChainComponent(CustomComponent): class LLMCheckerChainComponent(CustomComponent):

2
src/backend/langflow/components/chains/LLMMathChain.py → src/backend/base/langflow/components/chains/LLMMathChain.py
View file

@ -2,8 +2,8 @@ from typing import Optional
from langchain.chains import LLMChain, LLMMathChain from langchain.chains import LLMChain, LLMMathChain
from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, BaseMemory, Text from langflow.field_typing import BaseLanguageModel, BaseMemory, Text
from langflow.interface.custom.custom_component import CustomComponent
class LLMMathChainComponent(CustomComponent): class LLMMathChainComponent(CustomComponent):

2
src/backend/langflow/components/chains/RetrievalQA.py → src/backend/base/langflow/components/chains/RetrievalQA.py
View file

@ -4,8 +4,8 @@ from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
from langchain.chains.retrieval_qa.base import RetrievalQA from langchain.chains.retrieval_qa.base import RetrievalQA
from langchain_core.documents import Document from langchain_core.documents import Document
from langflow import CustomComponent
from langflow.field_typing import BaseMemory, BaseRetriever, Text from langflow.field_typing import BaseMemory, BaseRetriever, Text
from langflow.interface.custom.custom_component import CustomComponent
class RetrievalQAComponent(CustomComponent): class RetrievalQAComponent(CustomComponent):

2
src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py → src/backend/base/langflow/components/chains/RetrievalQAWithSourcesChain.py
View file

@ -3,8 +3,8 @@ from typing import Optional
from langchain.chains import RetrievalQAWithSourcesChain from langchain.chains import RetrievalQAWithSourcesChain
from langchain_core.documents import Document from langchain_core.documents import Document
from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, BaseMemory, BaseRetriever, Text from langflow.field_typing import BaseLanguageModel, BaseMemory, BaseRetriever, Text
from langflow.interface.custom.custom_component import CustomComponent
class RetrievalQAWithSourcesChainComponent(CustomComponent): class RetrievalQAWithSourcesChainComponent(CustomComponent):

2
src/backend/langflow/components/chains/SQLGenerator.py → src/backend/base/langflow/components/chains/SQLGenerator.py
View file

@ -5,8 +5,8 @@ from langchain_community.utilities.sql_database import SQLDatabase
from langchain_core.prompts import PromptTemplate from langchain_core.prompts import PromptTemplate
from langchain_core.runnables import Runnable from langchain_core.runnables import Runnable
from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, Text from langflow.field_typing import BaseLanguageModel, Text
from langflow.interface.custom.custom_component import CustomComponent
class SQLGeneratorComponent(CustomComponent): class SQLGeneratorComponent(CustomComponent):

0
src/backend/langflow/components/chains/__init__.py → src/backend/base/langflow/components/chains/__init__.py
View file

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

@ -4,7 +4,7 @@ from typing import List, Optional
import httpx import httpx
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record from langflow.schema import Record

8
src/backend/langflow/components/data/Directory.py → src/backend/base/langflow/components/data/Directory.py
View file

@ -1,11 +1,7 @@
from typing import Any, Dict, List, Optional from typing import Any, Dict, List, Optional
from langflow import CustomComponent from langflow.base.data.utils import parallel_load_records, parse_text_file_to_record, retrieve_file_paths
from langflow.base.data.utils import ( from langflow.interface.custom.custom_component import CustomComponent
parallel_load_records,
parse_text_file_to_record,
retrieve_file_paths,
)
from langflow.schema import Record from langflow.schema import Record

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

@ -1,7 +1,7 @@
from typing import Any, Dict, List from typing import Any, Dict, List
from langflow import CustomComponent
from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record from langflow.schema import Record

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

@ -1,6 +1,6 @@
from typing import List from typing import List
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record from langflow.schema import Record
from langflow.utils.constants import LOADERS_INFO from langflow.utils.constants import LOADERS_INFO

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

@ -2,7 +2,7 @@ from typing import Any, Dict
from langchain_community.document_loaders.web_base import WebBaseLoader from langchain_community.document_loaders.web_base import WebBaseLoader
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record from langflow.schema import Record

0
src/backend/langflow/components/data/__init__.py → src/backend/base/langflow/components/data/__init__.py
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0
src/backend/langflow/components/memories/__init__.py → src/backend/base/langflow/components/documentloaders/__init__.py
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3
src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py → src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
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@ -3,8 +3,7 @@ from typing import Optional
from langchain.embeddings.base import Embeddings from langchain.embeddings.base import Embeddings
from langchain_community.embeddings import BedrockEmbeddings from langchain_community.embeddings import BedrockEmbeddings
from langflow.interface.custom.custom_component import CustomComponent
from langflow import CustomComponent
class AmazonBedrockEmeddingsComponent(CustomComponent): class AmazonBedrockEmeddingsComponent(CustomComponent):

2
src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py → src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
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@ -1,7 +1,7 @@
from langchain.embeddings.base import Embeddings from langchain.embeddings.base import Embeddings
from langchain_community.embeddings import AzureOpenAIEmbeddings from langchain_community.embeddings import AzureOpenAIEmbeddings
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
class AzureOpenAIEmbeddingsComponent(CustomComponent): class AzureOpenAIEmbeddingsComponent(CustomComponent):

3
src/backend/langflow/components/embeddings/CohereEmbeddings.py → src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
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@ -1,7 +1,8 @@
from typing import Optional from typing import Optional
from langchain_community.embeddings.cohere import CohereEmbeddings from langchain_community.embeddings.cohere import CohereEmbeddings
from langflow import CustomComponent
from langflow.interface.custom.custom_component import CustomComponent
class CohereEmbeddingsComponent(CustomComponent): class CohereEmbeddingsComponent(CustomComponent):

6
src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py → src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
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@ -1,7 +1,9 @@
from langflow import CustomComponent from typing import Dict, Optional
from typing import Optional, Dict
from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
from langflow.interface.custom.custom_component import CustomComponent
class HuggingFaceEmbeddingsComponent(CustomComponent): class HuggingFaceEmbeddingsComponent(CustomComponent):
display_name = "HuggingFaceEmbeddings" display_name = "HuggingFaceEmbeddings"

3
src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py → src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
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@ -1,9 +1,10 @@
from typing import Dict, Optional from typing import Dict, Optional
from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings
from langflow import CustomComponent
from pydantic.v1.types import SecretStr from pydantic.v1.types import SecretStr
from langflow.interface.custom.custom_component import CustomComponent
class HuggingFaceInferenceAPIEmbeddingsComponent(CustomComponent): class HuggingFaceInferenceAPIEmbeddingsComponent(CustomComponent):
display_name = "HuggingFaceInferenceAPIEmbeddings" display_name = "HuggingFaceInferenceAPIEmbeddings"

3
src/backend/langflow/components/embeddings/OllamaEmbeddings.py → src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
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@ -1,9 +1,10 @@
from typing import Optional from typing import Optional
from langflow import CustomComponent
from langchain.embeddings.base import Embeddings from langchain.embeddings.base import Embeddings
from langchain_community.embeddings import OllamaEmbeddings from langchain_community.embeddings import OllamaEmbeddings
from langflow.interface.custom.custom_component import CustomComponent
class OllamaEmbeddingsComponent(CustomComponent): class OllamaEmbeddingsComponent(CustomComponent):
""" """

5
src/backend/langflow/components/embeddings/OpenAIEmbeddings.py → src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
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@ -1,10 +1,11 @@
from typing import Any, Callable, Dict, List, Optional, Union from typing import Any, Callable, Dict, List, Optional, Union
from langchain_openai.embeddings.base import OpenAIEmbeddings from langchain_openai.embeddings.base import OpenAIEmbeddings
from langflow import CustomComponent
from langflow.field_typing import NestedDict
from pydantic.v1.types import SecretStr from pydantic.v1.types import SecretStr
from langflow.field_typing import NestedDict
from langflow.interface.custom.custom_component import CustomComponent
class OpenAIEmbeddingsComponent(CustomComponent): class OpenAIEmbeddingsComponent(CustomComponent):
display_name = "OpenAIEmbeddings" display_name = "OpenAIEmbeddings"

6
src/backend/langflow/components/embeddings/VertexAIEmbeddings.py → src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
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@ -1,6 +1,8 @@
from langflow import CustomComponent from typing import List, Optional
from langchain_community.embeddings import VertexAIEmbeddings from langchain_community.embeddings import VertexAIEmbeddings
from typing import Optional, List
from langflow.interface.custom.custom_component import CustomComponent
class VertexAIEmbeddingsComponent(CustomComponent): class VertexAIEmbeddingsComponent(CustomComponent):

0
src/backend/langflow/components/embeddings/__init__.py → src/backend/base/langflow/components/embeddings/__init__.py
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2
src/backend/langflow/components/experimental/ClearMessageHistory.py → src/backend/base/langflow/components/experimental/ClearMessageHistory.py
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@ -1,4 +1,4 @@
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import delete_messages, get_messages from langflow.memory import delete_messages, get_messages

2
src/backend/langflow/components/experimental/ExtractDataFromRecord.py → src/backend/base/langflow/components/experimental/ExtractDataFromRecord.py
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@ -1,4 +1,4 @@
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record from langflow.schema import Record

2
src/backend/langflow/components/experimental/FlowTool.py → src/backend/base/langflow/components/experimental/FlowTool.py
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@ -3,7 +3,7 @@ from typing import Any, List, Optional, Text
from langchain_core.tools import StructuredTool from langchain_core.tools import StructuredTool
from loguru import logger from loguru import logger
from langflow import CustomComponent from langflow.custom import CustomComponent
from langflow.field_typing import Tool from langflow.field_typing import Tool
from langflow.graph.graph.base import Graph from langflow.graph.graph.base import Graph
from langflow.helpers.flow import build_function_and_schema from langflow.helpers.flow import build_function_and_schema

2
src/backend/langflow/components/experimental/GetNotified.py → src/backend/base/langflow/components/experimental/GetNotified.py
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@ -1,4 +1,4 @@
from langflow import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record from langflow.schema import Record

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