Variable Assigner

In the XpertAI workflow system, the Variable Assigner Node assigns values to writable variables, enabling information recording, state updates, and context maintenance. It’s a core component for user preference memory, session state management, and process data transfer. This node writes existing variable values to persistent variables.

Configuration Process

Below is a typical “memory write” scenario for variable assigner configuration:

1. Define Session Variable Structure

Define a session variable named memories:

• Type: array[object]
• Purpose: Record facts, preferences, and historical data from user input.

2. Check for New Information

After user input, use a Conditional Node with LLM reasoning:

• If new information is detected, take the upper branch.
• If no new information, take the lower branch and generate a response using existing memories.

3. Extract New Information

In the upper branch, add an LLM Node to extract user input into structured facts, e.g.:

{
  "fact": "User likes black coffee",
  "time": "2025-06-29"
}

4. Variable Assigner/Memory Write

Use the Variable Assigner Node to append LLM output to the memories array:

• Operation: Select variable type as array, operation as append.
• Content: Extract object from LLM output using variable reference (e.g., {llm.result}).
• If LLM output is a string, convert to standard object structure before writing.

5. Read Memory in Subsequent Nodes

In subsequent LLM Nodes, concatenate memories content into a string for context input, e.g.:

Historical Information:
1. User likes black coffee.
2. User often checks order status in the morning.

Insert into the system prompt for personalized response capability.

Summary

The Variable Assigner Node enables flexible data writing, forming the foundation for stateful, personalized, multi-turn dialogue experiences. Combined with conditional nodes, LLM nodes, and memory mechanisms, it builds smarter business processes and user interactions.