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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.

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Configuration Process

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

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1. Define Session Variable Structure

Define a session variable named memories:
  • Type: array[object]
  • Purpose: Record facts, preferences, and historical data from user input.

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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.

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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"
}

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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.

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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.

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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.