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The ReAct Node (Reasoning + Acting) is a powerful agentic component that allows the AI to “think” (reason about a problem) and “act” (use tools) iteratively to solve complex tasks.

Typical Usage

The ReAct node is the core of agentic workflows, enabling the AI to autonomously determine which tools to use to achieve a goal.

Example Configuration

ReAct Node Clean Workflow
  1. Connection: The node sits between a ‘Start’ triggering event and an ‘End’ output.
  2. Tool Access: Crucially, this node can be configured with access to various tools (Search, Database, API, etc.) which it can call during its execution loop.

Configuration Details

ReAct Config Top Section

Core Settings

  • Title: A descriptive name for the node (e.g., “Customer Service Agent”).
  • Description: Documentation of the node’s purpose.
  • Prompt: The system instruction that guides the agent’s behavior and personality (e.g., “You are a helpful assistant…”).

ReAct Config Middle Section

Model & Reasoning

  • LLM: The language model driving the reasoning (e.g., GIDR LLM 2).
  • Reasoning level: The depth of thought process to apply.
  • Max iterations: (If applicable to your version) Controls the maximum number of thought-action loops the agent can perform.

ReAct Config Bottom Section

Tools & Advanced Options

  • No. of previous exchanges: Context window measurement.
  • Tools: A toggle or selector to enable specific tools this agent can use (e.g., Web Search, Calculator).
  • MCP Servers: Connect to Model Context Protocol servers to extend capabilities.
  • Variable Selectors:
    • Input: Bind data variables to the agent’s context.
    • Prompt: Inject dynamic values into the system prompt.