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Condition node

As explained in AI Agents in Action

A condition node is a behavior-tree leaf node that evaluates a predicate about the current state and reports its result.

A condition node is a behavior-tree leaf that checks the current state and reports success or failure. Its result controls whether surrounding nodes continue, stop, or fall back. section 6.1.1 section 6.1

Use a condition node to:

Verification in an agentic behavior tree

A sequence first asks one assistant to debug code, then runs a condition named Verify. The condition checks whether the fix works; success completes the sequence, while failure prevents successful completion. section 6.4

Figure 6.2 The execution process of a simple behavior tree
figure

Trace how a condition result changes execution through sequences and selectors. section 6.1.1

How AI Agents in Action covers it

How deep it goes
Explains success-or-failure execution and surrounding control flow, but does not detail predicate implementation.
Examples
Uses apple-or-pear decisions, code verification, travel-itinerary checks, and inventory-order validation.
What you can do after
Apply it by inserting state checks that gate later actions in behavior trees and agentic behavior trees.
How it connects
Connects condition nodes with behavior trees, sequence nodes, selector nodes, action nodes, and assistants.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI Agents in Action. The section links point to the parts of the book it draws on.