Langflow on DKubeX

Langflow on DKubeX is a visual AI workflow builder integrated directly into the DKubeX platform. It lets you design, run, and deploy AI pipelines — from simple LLM chains to multi-step retrieval-augmented generation (RAG) systems — using a drag-and-drop canvas, without writing boilerplate code. On DKubeX, Langflow comes pre-configured with single sign-on, cluster-local LLM and embedding models via SecureLLM, and a built-in one-click deployment system that promotes any flow into a persistent API endpoint.

Langflow on DKubeX — canvas overview

Key features

  • Visual canvas — Build flows by connecting components with typed ports. No boilerplate required.

  • DKubeX Providers — Drop-in LLM and embedding components backed by the cluster-local SecureLLM service. No external API keys needed.

  • One-click deployment — Promote any flow to a standalone Kubernetes pod with its own internal API endpoint.

  • Platform SSO — Automatically authenticated via DKubeX. No separate Langflow login.

  • Global variables — Store and encrypt secrets once; reference them from any component in any flow.

  • Version history — Every save is a revision. Roll back to any previous version at any time.

  • Theme sync — Follows your DKubeX platform theme (light, dark, or system).

Tutorials

  • Getting started — Launch Langflow, build your first flow, and use DKubeX LLM components.

  • Building flows — Canvas navigation, component configuration, variables, and version control.

  • Components — Component catalog overview, DKubeX Providers (LLM and Embeddings), and custom components.

  • Deploying flows — Promote a flow to a standalone API endpoint and manage deployments.