Nodes are the building blocks of AI Workflows in Canvas. Each node performs a specific function — from LLM calls and API requests to data transformations and control flow.

Node Categories

Input & Output

Node	Purpose
Input Node	Define workflow input parameters
Output Node	Define workflow output structure

AI & LLM

Node	Purpose
Universal LLM	Call any configured LLM model
AI Worker Call	Invoke an AI Worker from a workflow

Data & APIs

Node	Purpose
API Call	Make HTTP requests to external APIs
Read URL	Fetch and parse web content
Browser	Headless browser automation
CSV to JSON	Convert CSV data to JSON format
PDF to Images	Convert PDF pages to images

Storage & Memory

Node	Purpose
Storage Upload	Upload files to storage
Vector Save	Save content to vector memory
Vector Search	Semantic search in vector memory
Save to Collection	Save data to MongoDB collection
Find in Collection	Query MongoDB collections

Control Flow

Node	Purpose
Worker Call	Call another AI Workflow
Switch Worker	Conditional branching
Map Worker	Process arrays in parallel
Fold Worker	Aggregate array results
Until Worker	Loop until condition met

Code Execution

Node	Purpose
Custom Code Nodes	Execute JavaScript/Python code

Common Patterns

Parameter Templating: Use {{nodeId.field}} syntax to reference outputs from previous nodes.

Example: {{1.response.data.items}} references the items array from node 1's response.