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80
README.md
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@ -1,46 +1,27 @@
<!-- Title -->
<!-- markdownlint-disable MD030 -->
# ⛓️ Langflow
~ An effortless way to experiment and prototype [LangChain](https://github.com/hwchase17/langchain) pipelines ~
<h3>Discover a simpler & smarter way to build around Foundation Models</h3>
<p>
<img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/logspace-ai/langflow" />
<img alt="GitHub Last Commit" src="https://img.shields.io/github/last-commit/logspace-ai/langflow" />
<img alt="" src="https://img.shields.io/github/repo-size/logspace-ai/langflow" />
<img alt="GitHub Issues" src="https://img.shields.io/github/issues/logspace-ai/langflow" />
<img alt="GitHub Pull Requests" src="https://img.shields.io/github/issues-pr/logspace-ai/langflow" />
<img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" />
</p>
[![Release Notes](https://img.shields.io/github/release/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/releases)
[![Contributors](https://img.shields.io/github/contributors/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/contributors)
[![Last Commit](https://img.shields.io/github/last-commit/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/last-commit)
[![Open Issues](https://img.shields.io/github/issues-raw/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/issues)
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[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/logspace-ai/langflow)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![GitHub star chart](https://img.shields.io/github/stars/logspace-ai/langflow?style=social)](https://star-history.com/#logspace-ai/langflow)
[![GitHub fork](https://img.shields.io/github/forks/logspace-ai/langflow?style=social)](https://github.com/logspace-ai/langflow/fork)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langflow_ai.svg?style=social&label=Follow%20%40langflow_ai)](https://twitter.com/langflow_ai)
[![](https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat)](https://discord.com/invite/EqksyE2EX9)
[![HuggingFace Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg)](https://huggingface.co/spaces/Logspace/Langflow)
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/logspace-ai/langflow)
<p>
<a href="https://discord.gg/EqksyE2EX9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat"/></a>
<a href="https://huggingface.co/spaces/Logspace/Langflow"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="HuggingFace Spaces"></a>
</p>
The easiest way to create and customize your flow
<a href="https://github.com/logspace-ai/langflow">
<img width="100%" src="https://github.com/logspace-ai/langflow/blob/dev/img/langflow-demo.gif?raw=true"></a>
<p>
</p>
# Table of Contents
- [⛓️ Langflow](#️-langflow)
- [Table of Contents](#table-of-contents)
- [📦 Installation](#-installation)
- [Locally](#locally)
- [HuggingFace Spaces](#huggingface-spaces)
- [🖥️ Command Line Interface (CLI)](#️-command-line-interface-cli)
- [Usage](#usage)
- [Environment Variables](#environment-variables)
- [Deployment](#deployment)
- [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
- [Deploy on Railway](#deploy-on-railway)
- [Deploy on Render](#deploy-on-render)
- [🎨 Creating Flows](#-creating-flows)
- [👋 Contributing](#-contributing)
- [📄 License](#-license)
<img width="100%" src="https://github.com/logspace-ai/langflow/blob/dev/docs/static/img/new_langflow_demo.gif"></a>
# 📦 Installation
@ -65,7 +46,7 @@ This will install the following dependencies:
- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
- [sentence-transformers](https://github.com/UKPLab/sentence-transformers)
You can still use models from projects like LocalAI
You can still use models from projects like LocalAI, Ollama, LM Studio, Jan and others.
Next, run:
@ -117,7 +98,7 @@ Each option is detailed below:
- `--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.
These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios.
### Environment Variables
@ -147,19 +128,19 @@ 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://python.langchain.com/docs/integrations/components) to choose from, including LLMs, prompt serializers, agents, and chains.
Creating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas and connect them to start building your application.
Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.
Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
Once you're done, you can export your flow as a JSON file to use with LangChain.
To do so, click the "Export" button in the top right corner of the canvas, then
in Python, you can load the flow with:
Once you’re done, you can export your flow as a JSON file.
Load the flow with:
```python
from langflow import load_flow_from_json
flow = load_flow_from_json("path/to/flow.json")
# Now you can use it like any chain
# Now you can use it
flow("Hey, have you heard of Langflow?")
```
@ -167,15 +148,16 @@ flow("Hey, have you heard of Langflow?")
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.
Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions, and showcase your projects! 🦾
---
Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions and showcase your projects! 🦾
<p>
</p>
[![Star History Chart](https://api.star-history.com/svg?repos=logspace-ai/langflow&type=Timeline)](https://star-history.com/#logspace-ai/langflow&Date)
# 🌟 Contributors
[![langflow contributors](https://contrib.rocks/image?repo=logspace-ai/langflow)](https://github.com/logspace-ai/langflow/graphs/contributors)
# 📄 License
Langflow is released under the MIT License. See the LICENSE file for details.

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@ -81,7 +81,18 @@ 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]`_. |
| _`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]`_. |
| _`title_case: bool`_ | Formats the name of the field when _`display_name`_ is not defined. Set it to False to keep the name as you set it in the _`build`_ method. |
<Admonition type="info" label="Tip">
Keys _`options`_ and _`value`_ can receive a method or function that returns a list of strings or a string, respectively. This is useful when you want to dynamically generate the options or the default value of a field. A refresh button will appear next to the field in the component, allowing the user to update the options or the default value.
</Admonition>
- 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 |
@ -96,6 +107,7 @@ The CustomComponent class serves as the foundation for creating custom component
| -------------- | ----------------------------------------------------------------------------- |
| _`status`_ | Displays the value it receives in the _`build`_ method. Useful for debugging. |
| _`field_order`_ | Defines the order the fields will be displayed in the canvas. |
| _`icon`_ | Defines the emoji (for example, _`:rocket:`_) that will be displayed in the canvas. |
<Admonition type="info" label="Tip">

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docs/docs/contributing/community.md
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@ -12,7 +12,7 @@
## 🐦 Stay tunned for **Langflow** on Twitter
Follow [@logspace_ai](https://twitter.com/langflow_ai) on **Twitter** to get the latest news about **Langflow**.
Follow [@langflow_ai](https://twitter.com/langflow_ai) on **Twitter** to get the latest news about **Langflow**.
---
## ⭐️ Star **Langflow** on GitHub

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docs/docs/index.mdx
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@ -1,6 +1,6 @@
# 👋 Welcome to Langflow
Langflow is an easy way to prototype [LangChain](https://github.com/hwchase17/langchain) flows. The drag-and-drop feature allows quick and effortless experimentation, while the built-in chat interface facilitates real-time interaction. It provides options to edit prompt parameters, create chains and agents, track thought processes, and export flows.
Langflow is an easy way to create flows. The drag-and-drop feature allows quick and effortless experimentation, while the built-in chat interface facilitates real-time interaction. It provides options to edit prompt parameters, create chains and agents, track thought processes, and export flows.
import ThemedImage from "@theme/ThemedImage";
import useBaseUrl from "@docusaurus/useBaseUrl";
@ -11,7 +11,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/new_langflow.gif",
light: "img/new_langflow_demo.gif",
}}
style={{ width: "100%" }}
/>

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@ -978,13 +978,13 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
[[package]]
name = "cohere"
version = "4.50"
version = "4.51"
description = "Python SDK for the Cohere API"
optional = false
python-versions = ">=3.8,<4.0"
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]
[package.dependencies]
@ -3464,12 +3464,12 @@ regex = ["regex"]
[[package]]
name = "llama-cpp-python"
version = "0.2.50"
version = "0.2.52"
description = "Python bindings for the llama.cpp library"
optional = true
python-versions = ">=3.8"
files = [
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]
[package.dependencies]
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]
[package.dependencies]
@ -7458,13 +7459,13 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
[[package]]
name = "supabase"
version = "2.3.6"
version = "2.3.7"
description = "Supabase client for Python."
optional = false
python-versions = ">=3.8,<4.0"
files = [
{file = "supabase-2.3.6-py3-none-any.whl", hash = "sha256:4288ba658c1c7f33ba3c232a6b9eae8b549ba3355ee8ff061bad9085e5d1326e"},
{file = "supabase-2.3.6.tar.gz", hash = "sha256:eb3c0d6f087b5da3b84a04da3430ee55a854d81f92f2bbc6c8b45fcf34be6f85"},
{file = "supabase-2.3.7-py3-none-any.whl", hash = "sha256:a4616aa9149231d20f6e61884b90b7e5bdbde0ef0c2f0c12ced14536f39055bc"},
{file = "supabase-2.3.7.tar.gz", hash = "sha256:d70dc986b7cd2a97c1916da1fa0ea6abae25690521cc9dd78016ab0e0c07116e"},
]
[package.dependencies]

2
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "0.6.7a5"
version = "0.6.7"
description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"]
maintainers = [

9
src/backend/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
View file

@ -1,7 +1,8 @@
from typing import Optional
from langflow import CustomComponent
from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint
from langchain.llms.base import BaseLLM
from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint
from langflow import CustomComponent
class HuggingFaceEndpointsComponent(CustomComponent):
@ -31,11 +32,11 @@ class HuggingFaceEndpointsComponent(CustomComponent):
model_kwargs: Optional[dict] = None,
) -> BaseLLM:
try:
output = HuggingFaceEndpoint(
output = HuggingFaceEndpoint( # type: ignore
endpoint_url=endpoint_url,
task=task,
huggingfacehub_api_token=huggingfacehub_api_token,
model_kwargs=model_kwargs,
model_kwargs=model_kwargs or {},
)
except Exception as e:
raise ValueError("Could not connect to HuggingFace Endpoints API.") from e

66
src/backend/langflow/interface/custom/utils.py
View file

@ -27,14 +27,18 @@ from langflow.utils import validate
from langflow.utils.util import get_base_classes
def add_output_types(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
def add_output_types(
frontend_node: CustomComponentFrontendNode, return_types: List[str]
):
"""Add output types to the frontend node"""
for return_type in return_types:
if return_type is None:
raise HTTPException(
status_code=400,
detail={
"error": ("Invalid return type. Please check your code and try again."),
"error": (
"Invalid return type. Please check your code and try again."
),
"traceback": traceback.format_exc(),
},
)
@ -63,14 +67,18 @@ def reorder_fields(frontend_node: CustomComponentFrontendNode, field_order: List
frontend_node.template.fields = reordered_fields
def add_base_classes(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
def add_base_classes(
frontend_node: CustomComponentFrontendNode, return_types: List[str]
):
"""Add base classes to the frontend node"""
for return_type_instance in return_types:
if return_type_instance is None:
raise HTTPException(
status_code=400,
detail={
"error": ("Invalid return type. Please check your code and try again."),
"error": (
"Invalid return type. Please check your code and try again."
),
"traceback": traceback.format_exc(),
},
)
@ -145,10 +153,14 @@ def add_new_custom_field(
# If options is a list, then it's a dropdown
# If options is None, then it's a list of strings
is_list = isinstance(field_config.get("options"), list)
field_config["is_list"] = is_list or field_config.get("is_list", False) or field_contains_list
field_config["is_list"] = (
is_list or field_config.get("is_list", False) or field_contains_list
)
if "name" in field_config:
warnings.warn("The 'name' key in field_config is used to build the object and can't be changed.")
warnings.warn(
"The 'name' key in field_config is used to build the object and can't be changed."
)
required = field_config.pop("required", field_required)
placeholder = field_config.pop("placeholder", "")
@ -179,7 +191,9 @@ def add_extra_fields(frontend_node, field_config, function_args):
if "name" not in extra_field or extra_field["name"] == "self":
continue
field_name, field_type, field_value, field_required = get_field_properties(extra_field)
field_name, field_type, field_value, field_required = get_field_properties(
extra_field
)
config = field_config.get(field_name, {})
frontend_node = add_new_custom_field(
frontend_node,
@ -217,7 +231,9 @@ def run_build_config(
raise HTTPException(
status_code=400,
detail={
"error": ("Invalid type convertion. Please check your code and try again."),
"error": (
"Invalid type convertion. Please check your code and try again."
),
"traceback": traceback.format_exc(),
},
) from exc
@ -245,7 +261,9 @@ def run_build_config(
raise HTTPException(
status_code=400,
detail={
"error": ("Invalid type convertion. Please check your code and try again."),
"error": (
"Invalid type convertion. Please check your code and try again."
),
"traceback": traceback.format_exc(),
},
) from exc
@ -300,16 +318,24 @@ def build_custom_component_template(
frontend_node = build_frontend_node(custom_component.template_config)
logger.debug("Updated attributes")
field_config, custom_instance = run_build_config(custom_component, user_id=user_id, update_field=update_field)
field_config, custom_instance = run_build_config(
custom_component, user_id=user_id, update_field=update_field
)
logger.debug("Built field config")
entrypoint_args = custom_component.get_function_entrypoint_args
add_extra_fields(frontend_node, field_config, entrypoint_args)
frontend_node = add_code_field(frontend_node, custom_component.code, field_config.get("code", {}))
frontend_node = add_code_field(
frontend_node, custom_component.code, field_config.get("code", {})
)
add_base_classes(frontend_node, custom_component.get_function_entrypoint_return_type)
add_output_types(frontend_node, custom_component.get_function_entrypoint_return_type)
add_base_classes(
frontend_node, custom_component.get_function_entrypoint_return_type
)
add_output_types(
frontend_node, custom_component.get_function_entrypoint_return_type
)
logger.debug("Added base classes")
reorder_fields(frontend_node, custom_instance._get_field_order())
@ -321,7 +347,9 @@ def build_custom_component_template(
raise HTTPException(
status_code=400,
detail={
"error": ("Invalid type convertion. Please check your code and try again."),
"error": (
"Invalid type convertion. Please check your code and try again."
),
"traceback": traceback.format_exc(),
},
) from exc
@ -345,7 +373,9 @@ def build_custom_components(settings_service):
if not settings_service.settings.COMPONENTS_PATH:
return {}
logger.info(f"Building custom components from {settings_service.settings.COMPONENTS_PATH}")
logger.info(
f"Building custom components from {settings_service.settings.COMPONENTS_PATH}"
)
custom_components_from_file = {}
processed_paths = set()
for path in settings_service.settings.COMPONENTS_PATH:
@ -356,7 +386,9 @@ def build_custom_components(settings_service):
custom_component_dict = build_custom_component_list_from_path(path_str)
if custom_component_dict:
category = next(iter(custom_component_dict))
logger.info(f"Loading {len(custom_component_dict[category])} component(s) from category {category}")
logger.info(
f"Loading {len(custom_component_dict[category])} component(s) from category {category}"
)
custom_components_from_file = merge_nested_dicts_with_renaming(
custom_components_from_file, custom_component_dict
)
@ -373,7 +405,7 @@ def update_field_dict(field_dict):
field_dict["refresh"] = True
if "value" in field_dict and callable(field_dict["value"]):
field_dict["value"] = field_dict["value"](field_dict.get("options", []))
field_dict["value"] = field_dict["value"]()
field_dict["refresh"] = True
# Let's check if "range_spec" is a RangeSpec object

10
src/backend/langflow/template/field/base.py
View file

@ -68,7 +68,9 @@ class TemplateField(BaseModel):
refresh: Optional[bool] = None
"""Specifies if the field should be refreshed. Defaults to False."""
range_spec: Optional[RangeSpec] = Field(default=None, serialization_alias="rangeSpec")
range_spec: Optional[RangeSpec] = Field(
default=None, serialization_alias="rangeSpec"
)
"""Range specification for the field. Defaults to None."""
title_case: bool = False
@ -115,6 +117,10 @@ class TemplateField(BaseModel):
if not isinstance(value, list):
raise ValueError("file_types must be a list")
return [
(f".{file_type}" if isinstance(file_type, str) and not file_type.startswith(".") else file_type)
(
f".{file_type}"
if isinstance(file_type, str) and not file_type.startswith(".")
else file_type
)
for file_type in value
]

2
src/frontend/package-lock.json generated
View file

@ -12085,4 +12085,4 @@
}
}
}
}
}

16
src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
View file

@ -24,6 +24,7 @@ import {
generateNodeFromFlow,
getNodeId,
isValidConnection,
reconnectEdges,
validateSelection,
} from "../../../../utils/reactflowUtils";
import { getRandomName, isWrappedWithClass } from "../../../../utils/utils";
@ -394,7 +395,7 @@ export default function Page({
if (
validateSelection(lastSelection!, edges).length === 0
) {
const { newFlow } = generateFlow(
const { newFlow, removedEdges } = generateFlow(
lastSelection!,
nodes,
edges,
@ -404,6 +405,10 @@ export default function Page({
newFlow,
getNodeId
);
const newEdges = reconnectEdges(
newGroupNode,
removedEdges
);
setNodes((oldNodes) => [
...oldNodes.filter(
(oldNodes) =>
@ -414,16 +419,17 @@ export default function Page({
),
newGroupNode,
]);
setEdges((oldEdges) =>
oldEdges.filter(
setEdges((oldEdges) => [
...oldEdges.filter(
(oldEdge) =>
!lastSelection!.nodes.some(
(selectionNode) =>
selectionNode.id === oldEdge.target ||
selectionNode.id === oldEdge.source
)
)
);
),
...newEdges,
]);
} else {
setErrorData({
title: "Invalid selection",

43
src/frontend/src/utils/reactflowUtils.ts
View file

@ -597,8 +597,7 @@ export function generateFlow(
const newFlowData = { nodes, edges, viewport: { zoom: 1, x: 0, y: 0 } };
const uid = new ShortUniqueId({ length: 5 });
/* remove edges that are not connected to selected nodes on both ends
in future we can save this edges to when ungrouping reconect to the old nodes
*/
*/
newFlowData.edges = selection.edges.filter(
(edge) =>
selection.nodes.some((node) => node.id === edge.target) &&
@ -619,12 +618,48 @@ export function generateFlow(
// in the future we can use a better aproach using a set
return {
newFlow,
removedEdges: selection.edges.filter(
(edge) => !newFlowData.edges.includes(edge)
removedEdges: edges.filter(
(edge) =>
(selection.nodes.some((node) => node.id === edge.target) ||
selection.nodes.some((node) => node.id === edge.source)) &&
newFlowData.edges.every((e) => e.id !== edge.id)
),
};
}
export function reconnectEdges(groupNode: NodeType, excludedEdges: Edge[]) {
let newEdges = cloneDeep(excludedEdges);
if (!groupNode.data.node!.flow) return [];
const { nodes, edges } = groupNode.data.node!.flow!.data!;
const lastNode = findLastNode(groupNode.data.node!.flow!.data!);
newEdges.forEach((edge) => {
if (lastNode && edge.source === lastNode.id) {
edge.source = groupNode.id;
let newSourceHandle: sourceHandleType = scapeJSONParse(
edge.sourceHandle!
);
newSourceHandle.id = groupNode.id;
edge.sourceHandle = scapedJSONStringfy(newSourceHandle);
edge.data.sourceHandle = newSourceHandle;
}
if (nodes.some((node) => node.id === edge.target)) {
const targetNode = nodes.find((node) => node.id === edge.target)!;
console.log("targetNode", targetNode);
const targetHandle: targetHandleType = scapeJSONParse(edge.targetHandle!);
console.log("targetHandle", targetHandle);
const proxy = { id: targetNode.id, field: targetHandle.fieldName };
let newTargetHandle: targetHandleType = cloneDeep(targetHandle);
newTargetHandle.id = groupNode.id;
newTargetHandle.proxy = proxy;
edge.target = groupNode.id;
newTargetHandle.fieldName = targetHandle.fieldName + "_" + targetNode.id;
edge.targetHandle = scapedJSONStringfy(newTargetHandle);
edge.data.targetHandle = newTargetHandle;
}
});
return newEdges;
}
export function filterFlow(
selection: OnSelectionChangeParams,
setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void,