<!-- Title -->
# ⛓️ LangFlow
~ A User Interface For [LangChain](https://github.com/hwchase17/langchain) ~
<p>
<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>
<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>
<a href="https://github.com/logspace-ai/langflow">
<img width="100%" src="https://github.com/logspace-ai/langflow/blob/main/img/langflow-demo.gif?raw=true"></a>
LangFlow is a GUI for [LangChain](https://github.com/hwchase17/langchain), designed with [react-flow](https://github.com/wbkd/react-flow) to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box.
## 📦 Installation
### <b>Locally</b>
You can install LangFlow from pip:
```shell
pip install langflow
```
Next, run:
```shell
python -m langflow
```
or
```shell
langflow
```
### Deploy Langflow on Google Cloud Platform
Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document.
Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
### Deploy Langflow on [Jina AI Cloud](https://github.com/jina-ai/langchain-serve)
Langflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.
Start by installing `langchain-serve` with
```bash
pip install -U langchain-serve
```
Then, run:
```bash
langflow --jcloud
```
```text
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
<details>
<summary>Show complete (example) output</summary>
```text
🚀 Deploying Langflow server on Jina AI Cloud
╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
│ │
│ ID langflow-e3dd8820ec │
│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
│ │
╰──────────────────────────────────────────────────────────────────────────╯
╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
│ App ID │ langflow-e3dd8820ec │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Phase │ Serving │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ App logs │ dashboards.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
</details>
#### API Usage
You can use Langflow directly on your browser, or use the API endpoints on Jina AI Cloud to interact with the server.
<details>
<summary>Show API usage (with python)</summary>
```python
import json
import requests
FLOW_PATH = "Time_traveller.json"
# HOST = 'http://localhost:7860'
HOST = 'https://langflow-f1ed20e309.wolf.jina.ai'
API_URL = f'{HOST}/predict'
def predict(message):
with open(FLOW_PATH, "r") as f:
json_data = json.load(f)
payload = {'exported_flow': json_data, 'message': message}
response = requests.post(API_URL, json=payload)
return response.json()
predict('Take me to 1920s Bangalore')
```
```json
{
"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
}
```
</details>
> Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
## 🎨 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.
Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.
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:
```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
flow("Hey, have you heard of LangFlow?")
```
## 👋 Contributing
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.
[](https://star-history.com/#logspace-ai/langflow&Date)
## 📄 License
LangFlow is released under the MIT License. See the LICENSE file for details.
Raw data
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"description": "<!-- Title -->\n\n# \u26d3\ufe0f LangFlow\n\n~ A User Interface For [LangChain](https://github.com/hwchase17/langchain) ~\n\n<p>\n<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>\n<img alt=\"GitHub Contributors\" src=\"https://img.shields.io/github/contributors/logspace-ai/langflow\" />\n<img alt=\"GitHub Last Commit\" src=\"https://img.shields.io/github/last-commit/logspace-ai/langflow\" />\n<img alt=\"\" src=\"https://img.shields.io/github/repo-size/logspace-ai/langflow\" />\n<img alt=\"GitHub Issues\" src=\"https://img.shields.io/github/issues/logspace-ai/langflow\" />\n<img alt=\"GitHub Pull Requests\" src=\"https://img.shields.io/github/issues-pr/logspace-ai/langflow\" />\n<img alt=\"Github License\" src=\"https://img.shields.io/github/license/logspace-ai/langflow\" />\n</p>\n\n<a href=\"https://github.com/logspace-ai/langflow\">\n <img width=\"100%\" src=\"https://github.com/logspace-ai/langflow/blob/main/img/langflow-demo.gif?raw=true\"></a>\n\nLangFlow is a GUI for [LangChain](https://github.com/hwchase17/langchain), designed with [react-flow](https://github.com/wbkd/react-flow) to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box.\n\n## \ud83d\udce6 Installation\n### <b>Locally</b>\nYou can install LangFlow from pip:\n\n```shell\npip install langflow\n```\n\nNext, run:\n\n```shell\npython -m langflow\n```\nor\n```shell\nlangflow\n```\n\n### Deploy Langflow on Google Cloud Platform\n\nFollow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document.\n\nAlternatively, click the **\"Open in Cloud Shell\"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.\n\n[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)\n\n\n### Deploy Langflow on [Jina AI Cloud](https://github.com/jina-ai/langchain-serve)\n\nLangflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.\n\nStart by installing `langchain-serve` with \n\n```bash\npip install -U langchain-serve\n``` \n\nThen, run:\n\n```bash\nlangflow --jcloud\n```\n\n```text\n\ud83c\udf89 Langflow server successfully deployed on Jina AI Cloud \ud83c\udf89\n\ud83d\udd17 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/\n\ud83d\udcd6 Read more about managing the server: https://github.com/jina-ai/langchain-serve\n```\n\n <details>\n <summary>Show complete (example) output</summary>\n\n ```text\n \ud83d\ude80 Deploying Langflow server on Jina AI Cloud\n \u256d\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 \ud83c\udf89 Flow is available! \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u256e\n \u2502 \u2502\n \u2502 ID langflow-e3dd8820ec \u2502\n \u2502 Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai \u2502\n \u2502 Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec \u2502\n \u2502 \u2502\n \u2570\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u256f\n \u256d\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u256e\n \u2502 App ID \u2502 langflow-e3dd8820ec \u2502\n \u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n \u2502 Phase \u2502 Serving \u2502\n 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\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n \u2502 OpenAPI JSON \u2502 https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json \u2502\n \u2570\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u256f\n\n \ud83c\udf89 Langflow server successfully deployed on Jina AI Cloud \ud83c\udf89\n \ud83d\udd17 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/\n \ud83d\udcd6 Read more about managing the server: https://github.com/jina-ai/langchain-serve\n ```\n\n </details>\n\n#### API Usage\n\nYou can use Langflow directly on your browser, or use the API endpoints on Jina AI Cloud to interact with the server.\n\n <details>\n <summary>Show API usage (with python)</summary>\n\n ```python\n import json\n import requests\n\n FLOW_PATH = \"Time_traveller.json\"\n\n # HOST = 'http://localhost:7860'\n HOST = 'https://langflow-f1ed20e309.wolf.jina.ai'\n API_URL = f'{HOST}/predict'\n\n def predict(message):\n with open(FLOW_PATH, \"r\") as f:\n json_data = json.load(f)\n payload = {'exported_flow': json_data, 'message': message}\n response = requests.post(API_URL, json=payload)\n return response.json()\n\n\n predict('Take me to 1920s Bangalore')\n ```\n\n ```json\n {\n \"result\": \"Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\\n\\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\\n\\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\\n\\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\\n\\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\\n\\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\\n\\nHope you enjoy your trip to 1920s Bangalore!\"\n }\n ```\n\n </details>\n\n> Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.\n\n\n## \ud83c\udfa8 Creating Flows\n\nCreating 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.\n\nExplore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.\n\nOnce you're done, you can export your flow as a JSON file to use with LangChain.\nTo do so, click the \"Export\" button in the top right corner of the canvas, then\nin Python, you can load the flow with:\n\n```python\nfrom langflow import load_flow_from_json\n\nflow = load_flow_from_json(\"path/to/flow.json\")\n# Now you can use it like any chain\nflow(\"Hey, have you heard of LangFlow?\")\n```\n\n\n## \ud83d\udc4b Contributing\n\nWe 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.\n\n\n[](https://star-history.com/#logspace-ai/langflow&Date)\n\n\n## \ud83d\udcc4 License\n\nLangFlow is released under the MIT License. See the LICENSE file for details.\n",
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