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How do I configure the ReAct agent node?#

An agent is used to extend the functionality of a Large Language Model or Chat Model with the use of additional nodes such as triggers, retrievers, loaders and output parsers. Agent nodes are distinct from Chain nodes in that they automatically determine the correct attached node to use for a given user input.

Before you begin#

Step 1 - add the node#

  • Click + to open the nodes panel
  • Search for Agent in the node search field.
  • Click Ai Agent to open the node editor
  • Choose ReAct agent from the Agent field.

Step 2 - choose how to handle prompts#

Prompt Description Additional information
Take from previous node automatically Looks for chatInput parameter supplied by the preceding node Execute previous nodes to load input data
Define below Define JSON parameters that will be sent to a child node such as a Model, Operator, Memory or Tool. These should be defined based on the outputs from a preceding node in the pathway Execute previous nodes to load input data

Step 3 - Add optional output parser#

  • Toggle Require specific output format so you can add an Output Parser node to the agent once you've completed initial configuration.

Step 4 - Add optional messages#

There are three ways to add parameters to Fixed or Expression fields in a given node:

Method Description Additional information
Load from previous nodes Click Execute previous nodes in the Input panel to load parameters from connected and configured nodes Not available for Triggers
Add a fixed value Click Fixed on available fields to enter plain-text or JSON values Learn how to edit fixed responses
Add a JSON expression Click Expression on available fields to enter a JSON expression Learn how to edit expressions

Note

The Expression editor loads all possible parameters from connected nodes. These can then be added to fields as required

Option Description Required
Human message Add or edit text used by the connected model to interpret input from end users. Required parameters
Prefix message String to insert before the list of tools
Suffix message for chat model Instruction for connected chat model Includes the user input and agent scratchpad
Suffix message for Large Language Model Instruction for connected Large Language Model Required parameters

Required message parameters#

Parameter Description
{input} User input
{agent_scratchpad} Data to retain for next iteration of chat trigger dialog to ReAct Agent

Step 5 - Add optional steps#

Option Description Required
Return intermediate steps Steps made by the attached model to generate output are sent to the Chat dialog for the user to check

Next step#

Link the Agent to child nodes:

Further information#