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Release 0.6.0 - Langflow Store, Group Components and more (#1201)

Browse source 
This release marks a significant milestone for our project with the
integration of the Langflow Store, enabling users to share and utilize a
wide array of shared components. We've also introduced the ability to
group multiple components into a single entity, streamlining the
organization and management of complex workflows.

Key Features:
- Langflow Store Integration: Share and use shared components with ease,
fostering a collaborative environment.
- Grouped Components: Combine multiple components into one for better
organization and usability.
- Enhanced UI/UX: Numerous improvements to the user interface and user
experience, including loading animations, modal management, and UI
consistency.
- Performance and Security: Dependency updates and refactoring for
improved performance, security, and maintainability.
- Error Handling: Robust error handling mechanisms for API key issues,
component retrieval, and more.
- Backend and Frontend Refinements: Backend services and frontend
components have been optimized for better performance and user
experience.

We've also addressed various bugs and made improvements across the
board, including memory leak fixes, UI enhancements, and codebase
optimizations. The addition of new features like the GPT-4 Vision
Preview option and the first steps into handling credentials a bit
better. Some features will be implemented fully in the coming weeks.

A heartfelt thank you to all our contributors, especially @lucaseduoli ,
@igorrCarvalho, @anovazzi1, @Cristhianzl ,@merrygoround-of-life,
@kandakji, @onesolpark , @ysekiy, @rm-- , @brylie , @Lanznx, @mrab72 ,
@gladson for their significant commits and dedication to the project.
Your contributions have been invaluable in bringing this release to
fruition.
This commit is contained in:
anovazzi1 2023-12-12 18:06:53 -03:00 • committed by GitHub
commit eda7df867e
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376 changed files with 45745 additions and 18265 deletions
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12
.env.example
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@ -63,3 +63,15 @@ LANGFLOW_SUPERUSER=
# Superuser password
# Example: LANGFLOW_SUPERUSER_PASSWORD=123456
LANGFLOW_SUPERUSER_PASSWORD=
# STORE_URL
# Example: LANGFLOW_STORE_URL=https://api.langflow.store
LANGFLOW_STORE_URL=
# DOWNLOAD_WEBHOOK_URL
#
LANGFLOW_DOWNLOAD_WEBHOOK_URL=
# LIKE_WEBHOOK_URL
#
LANGFLOW_LIKE_WEBHOOK_URL=

2
.github/workflows/lint.yml vendored
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@ -6,7 +6,7 @@ on:
pull_request:
env:
POETRY_VERSION: "1.4.0"
POETRY_VERSION: "1.7.0"
jobs:
lint:

1
.gitignore vendored
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@ -166,6 +166,7 @@ coverage.xml
*.py,cover
.hypothesis/
.pytest_cache/
.testmondata*
# Translations
*.mo

3
.vscode/launch.json vendored
View file

@ -16,7 +16,8 @@
"debug"
],
"jinja": true,
"justMyCode": true
"justMyCode": true,
"envFile": "${workspaceFolder}/.env"
},
{
"name": "Python: Remote Attach",

2
Dockerfile
View file

@ -11,5 +11,5 @@ WORKDIR $HOME/app
COPY --chown=user . $HOME/app
RUN pip install langflow>==0.0.86 -U --user
RUN pip install langflow>==0.5.0 -U --user
CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]

15
Makefile
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@ -20,17 +20,16 @@ coverage:
tests:
@make install_backend
poetry run pytest tests
poetry run pytest tests --instafail
format:
poetry run black .
poetry run ruff . --fix
poetry run ruff format .
cd src/frontend && npm run format
lint:
make install_backend
poetry run mypy src/backend/langflow
poetry run black . --check
poetry run ruff . --fix
install_frontend:
@ -40,6 +39,7 @@ install_frontendc:
cd src/frontend && rm -rf node_modules package-lock.json && npm install
run_frontend:
@-kill -9 `lsof -t -i:3000`
cd src/frontend && npm start
run_cli:
@ -66,7 +66,14 @@ install_backend:
backend:
make install_backend
poetry run uvicorn --factory src.backend.langflow.main:create_app --port 7860 --reload --log-level debug
@-kill -9 `lsof -t -i:7860`
ifeq ($(login),1)
@echo "Running backend without autologin";
poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env
else
@echo "Running backend with autologin";
LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env
endif
build_and_run:
echo 'Removing dist folder'

6
README.md
View file

@ -114,6 +114,10 @@ Each option is detailed below:
- `--remove-api-keys/--no-remove-api-keys`: Toggles the option to remove API keys from the projects saved in the database. Can be set using the `LANGFLOW_REMOVE_API_KEYS` environment variable. The default is `no-remove-api-keys`.
- `--install-completion [bash|zsh|fish|powershell|pwsh]`: Installs completion for the specified shell.
- `--show-completion [bash|zsh|fish|powershell|pwsh]`: Shows completion for the specified shell, allowing you to copy it or customize the installation.
- `--backend-only`: This parameter, with a default value of `False`, allows running only the backend server without the frontend. It can also be set using the `LANGFLOW_BACKEND_ONLY` environment variable.
- `store`: This parameter, with a default value of `True`, enables the store features, use `--no-store` to deactivate it. It can be configured using the `LANGFLOW_STORE` environment variable.
These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios. You may want to update the documentation to include these parameters for completeness and clarity.
### Environment Variables
@ -143,7 +147,7 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
# 🎨 Creating Flows
Creating flows with Langflow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. Langflow provides a range of [LangChain components](https://langchain.readthedocs.io/en/latest/reference.html) to choose from, including LLMs, prompt serializers, agents, and chains.
Creating flows with Langflow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. Langflow provides a range of [LangChain components](https://python.langchain.com/docs/integrations/components) to choose from, including LLMs, prompt serializers, agents, and chains.
Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.

2
base.Dockerfile
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@ -23,7 +23,7 @@ ENV PYTHONUNBUFFERED=1 \
\
# poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables
POETRY_VERSION=1.5.1 \
POETRY_VERSION=1.7.1 \
# make poetry install to this location
POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root

2
deploy/docker-compose.with_tests.yml
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@ -146,7 +146,7 @@ services:
build:
context: ../
dockerfile: base.Dockerfile
command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h
command: celery -A langflow.worker.celery_app worker --loglevel=DEBUG --concurrency=1 -n lf-worker@%h
healthcheck:
test: "exit 0"
deploy:

6
deploy/docker-compose.yml
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@ -134,8 +134,8 @@ services:
image: redis:6.2.5
env_file:
- .env
# ports:
# - 6379:6379
ports:
- 6379:6379
healthcheck:
test: "exit 0"
@ -146,7 +146,7 @@ services:
build:
context: ../
dockerfile: base.Dockerfile
command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h
command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h -P eventlet
healthcheck:
test: "exit 0"
deploy:

9
docker_example/Dockerfile
View file

@ -1,14 +1,15 @@
FROM python:3.10-slim
RUN apt-get update && apt-get install gcc g++ git make -y
RUN apt-get update && apt-get install gcc g++ git make -y && apt-get clean \
&& rm -rf /var/lib/apt/lists/*
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
PATH=/home/user/.local/bin:$PATH
WORKDIR $HOME/app
COPY --chown=user . $HOME/app
RUN pip install langflow>==0.0.71 -U --user
CMD ["langflow", "--host", "0.0.0.0", "--port", "7860"]
RUN pip install langflow>==0.5.0 -U --user
CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]

2
docker_example/docker-compose.yml
View file

@ -7,4 +7,4 @@ services:
dockerfile: Dockerfile
ports:
- "7860:7860"
command: langflow --host 0.0.0.0
command: langflow run --host 0.0.0.0

4
docs/docs/components/custom.mdx
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@ -56,7 +56,7 @@ The CustomComponent class serves as the foundation for creating custom component
- **build_config**: Used to define the configuration fields of the component (if applicable). It should always return a dictionary with specific keys representing the field names and corresponding configurations. This method is called when the code is processed (i.e., when you click _Check and Save_ in the code editor). It must follow the format described below:
- Top-level keys are field names.
- Their values are also of type _`dict`_. They specify the behavior of the generated fields.
- Their values are can be of type _`langflow.field_typing.TemplateField`_ or _`dict`_. They specify the behavior of the generated fields.
Below are the available keys used to configure component fields:
@ -73,7 +73,7 @@ The CustomComponent class serves as the foundation for creating custom component
| _`required: bool`_ | Makes the field required. |
| _`info: str`_ | Adds a tooltip to the field. |
| _`file_types: List[str]`_ | This is a requirement if the _`field_type`_ is _file_. Defines which file types will be accepted. For example, _json_, _yaml_ or _yml_. |
| _`range_spec: langflow.field_typing.RangeSpec`_ | This is a requirement if the _`field_type`_ is _`float`_. Defines the range of values accepted and the step size. If none is defined, the default is _`[-1, 1, 0.1]`_. |
- The CustomComponent class also provides helpful methods for specific tasks (e.g., to load and use other flows from the Langflow platform):
| Method Name | Description |

16
docs/docs/components/embeddings.mdx
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@ -12,6 +12,22 @@ Embeddings are vector representations of text that capture the semantic meaning
---
### BedrockEmbeddings
Used to load [Amazon Bedrocks’s](https://aws.amazon.com/bedrock/) embedding models.
**Params**
- **credentials_profile_name:** The name of the profile in the ~/.aws/credentials or ~/.aws/config files, which has either access keys or role information specified. If not specified, the default credential profile or, if on an EC2 instance, credentials from IMDS will be used. See [the AWS documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html) for more details.
- **model_id:** Id of the model to call, e.g., amazon.titan-embed-text-v1, this is equivalent to the modelId property in the list-foundation-models api.
- **endpoint_url:** Needed if you don’t want to default to us-east-1 endpoint.
- **region_name:** The aws region e.g., us-west-2. Fallsback to AWS_DEFAULT_REGION env variable or region specified in ~/.aws/config in case it is not provided here.
---
### CohereEmbeddings
Used to load [Cohere’s](https://cohere.com/) embedding models.

2
docs/docs/guidelines/components.mdx
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@ -5,7 +5,7 @@ import ReactPlayer from "react-player";
# Component
Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain [documentation](https://docs.langchain.com/docs/category/components) section.
Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain [documentation](https://python.langchain.com/docs/integrations/components) section.
### Component's Features

8
docs/docusaurus.config.js
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@ -31,7 +31,7 @@ module.exports = {
[
remarkCodeHike,
{
theme: "github-light",
theme: "github-dark",
showCopyButton: true,
lineNumbers: true,
},
@ -112,8 +112,10 @@ module.exports = {
},
colorMode: {
defaultMode: "light",
disableSwitch: true,
respectPrefersColorScheme: false,
/* Allow users to chose light or dark mode. */
disableSwitch: false,
/* Respect user preferences, such as low light mode in the evening */
respectPrefersColorScheme: true,
},
announcementBar: {
content:

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10
docs/package.json
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@ -16,11 +16,11 @@
"dependencies": {
"@babel/preset-react": "^7.22.3",
"@code-hike/mdx": "^0.9.0",
"@docusaurus/core": "2.4.1",
"@docusaurus/plugin-ideal-image": "^2.4.1",
"@docusaurus/preset-classic": "2.4.1",
"@docusaurus/theme-classic": "^2.4.1",
"@docusaurus/theme-search-algolia": "^2.4.1",
"@docusaurus/core": "3.0.1",
"@docusaurus/plugin-ideal-image": "^3.0.1",
"@docusaurus/preset-classic": "3.0.1",
"@docusaurus/theme-classic": "^3.0.1",
"@docusaurus/theme-search-algolia": "^3.0.1",
"@mdx-js/react": "^2.3.0",
"@mendable/search": "^0.0.154",
"@pbe/react-yandex-maps": "^1.2.4",

599
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932
package-lock.json generated Normal file
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@ -0,0 +1,932 @@
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