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The context Adlyse works from.

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  1. Legacy
  2. Core Concepts

Nodes Overview

Nodes are the building blocks of Adlyse workflows. Each node type serves a specific purpose in your AI pipeline.

Available Node Types#

Node TypePurpose
TriggerEntry point for workflows
LLMProcess text with AI models
ConditionAdd branching logic
Knowledge RetrievalQuery knowledge bases
ToolExecute external tools
CodeRun custom Python scripts
LoopIterate over data
API CallMake HTTP requests
Image GenerationGenerate images with AI

Adding Nodes#

Click the + icon on any existing node to add a new node. You can:

  • Add nodes downstream (outputs)
  • Add nodes upstream (inputs)
  • Connect multiple nodes in parallel

Node Configuration#

Each node has configuration options accessible by clicking on the node. Common settings include:

  • Name - A descriptive identifier for the node
  • Input variables - Data passed into the node
  • Output variables - Data produced by the node
  • Node-specific settings - Options unique to each node type