Components

Components are the building blocks of a flow. Langflow ships with a wide catalog covering inputs, models, memory, retrieval, tools, and outputs. On DKubeX, additional DKubeX Providers components are available that connect directly to the cluster-local SecureLLM service.

Categories

Category	What’s inside
Input & Output	Chat input, text input, file loaders, chat output, text output
Data Sources	Database connectors, API request components, web scrapers
Models & Agents	OpenAI, Anthropic, Mistral, Ollama, Hugging Face, and more
LLM Operations	Prompt templates, chains, and LLM utility components
Files & Knowledge	File loaders, document parsers, knowledge base connectors
Processing	Text splitters, parsers, transformers
Flow Control	Conditional routers, loops, and parallel execution
Utilities	Python REPL, custom tools, web search
Prototypes	Experimental components
Tools	Agents with tool-calling capabilities
DKubeX Providers	DKubeX-native LLM and embedding components backed by SecureLLM

DKubeX Providers

These components are built into every DKubeX Langflow instance and connect to the SecureLLM service running in the same cluster. They appear in the sidebar under DKubeX Providers.

DKubeX LLM

Generates text using language models served by SecureLLM.

Configuration:

Field	Description
SecureLLM API Key	Your API key for the SecureLLM service (masked; stored once)
Model Name	Dropdown of available TextGeneration models — click the refresh button to populate
Max Tokens	Maximum tokens to generate (default 256)
Temperature	Sampling temperature 0–1 (default 0.1)
JSON Mode	Force JSON output format
Timeout	Request timeout in seconds (default 700)
Max Retries	Retries on transient failure (default 5)

How to use:

1. Drop DKubeX LLM component onto the canvas.

2. Enter your SecureLLM API Key.

3. Click on Model Name and then click Refresh list to load the available models.

4. Select a model and connect the component to your flow.

5. Click the component to open its side panel and configure the advanced options.

DKubeX Embeddings

Generates vector embeddings using embedding models served by SecureLLM. Use this component with a Vector Store component to index and retrieve documents.

Configuration:

Field	Description
SecureLLM API Key	Your API key for the SecureLLM service (masked; stored once)
Model Name	Dropdown of available TextEmbedding models — click refresh to populate
Chunk Size	Number of texts per embedding batch (default 256)
Request Timeout	Timeout in seconds
Max Retries	Retries on failure (default 3)

How to use:

1. Drop DKubeX Embeddings onto the canvas.

2. Enter your SecureLLM API Key.

3. Click on Model Name and then click Refresh list to load the available models.

4. Select a model and connect the component to a Vector Store component to index documents.

5. Click the component to open its side panel and configure the advanced options.

Note: The model dropdowns in DKubeX components show only models whose type matches the component — text generation models for DKubeX LLM and embedding models for DKubeX Embeddings. If the dropdown is empty after refreshing, verify your API key or contact your cluster administrator.

Configuring Any Component

1. Fill in required fields (marked with *).

2. Use the Code tab to view or customize the underlying Python code.

3. Click a component on the canvas to open its side panel, containing the advanced options.

Custom Components

You can create your own component by either modifying the code of an existing component, or by clicking on New Custom Component to build a custom component from scratch.