Langflow offers a straightforward path to creating sophisticated AI 
solutions, starting with the simplest applications and growing in 

In simple words, Langflow is a visual framework for building multi-agent and RAG applications


By providing a user-friendly interface, Langflow empowers users to seamlessly integrate AI capabilities into their daily activities.



To start with Langflow, ensure you have Python 3.10 on your system.

  • You can install Langflow using either pipx or pip. 
  • If you opt for pipx, it will automatically fetch and install the required Python version if needed. 
  • Alternatively, you can manually install the missing Python version before installing Langflow.
pip install langflow -U
# or (since pipx 1.5.0)
pipx install langflow --python python3.10 --fetch-missing-python

Langflow – API Keys

Langflow provides an innovative authentication mechanism with its API Key feature. 

This allows users to access custom-built components and flows without using traditional login credentials. 

The API Key is a unique token associated with each user, which can be incorporated into API requests through the header or query parameter. 

This documentation will guide you on creating, utilizing, and managing these API Keys in Langflow.


Using the API Key

Include the x-api-key in the HTTP header when making API requests:

curl -X POST \
  http://localhost:3000/api/v1/process/<your_flow_id> \
  -H 'Content-Type: application/json'\
  -H 'x-api-key: <your api key>'\
  -d '{"inputs": {"text":""}, "tweaks": {}}'

Using the Query Parameter

Alternatively, you can include the API key as a query parameter in the URL:

curl -X POST \
  http://localhost:3000/api/v1/process/<your_flow_id>?x-api-key=<your_api_key> \
  -H 'Content-Type: application/json'\
  -d '{"inputs": {"text":""}, "tweaks": {}}'

From a security perspective, Langflow’s API Key implementation ensures 
that your credentials are well-protected. 

  • Once generated, the API key is not accessible through the UI for added safety measures. 
  • Additionally, each API key is scoped to a specific user, granting access only to their flows and components. This granular control restricts unauthorized access and misuse of your account.

⛓️ Running Langflow

Langflow offers flexibility in its usage, allowing you to access it 
through multiple interfaces.

langflow run # or langflow --help
  • You can interact with Langflow via its command-line interface (CLI), providing an efficient way to work with the tool. 
  • Alternatively, you can also use HuggingFace Spaces for a more visual
    and intuitive experience.

🎨 Create Flows

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, 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.

from langflow.load import run_flow_from_json

results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")

Chat Interface

Langflow’s intuitive chat interface offers a seamless experience for 
interacting with your model and crafting custom prompts. 

The sidebar provides an easily accessible hub for modifying pre-defined prompt variables, allowing you to quickly test different variations by adjusting variable values directly within the chat.


Custom Components

In Langflow, Custom Components offer a powerful way to customize the 
platform and expand its capabilities. 

By creating their own reusable and configurable components using Python scripts, users can extend Langflow’s functionality in a flexible and extensible manner. 

These custom components can range from simple functions that process text strings to more complex combinations of sub-components and API integrations.

Langflow - Custom Components
Langflow - Custom Components

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