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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.