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Branch

As explained in AI Agents in Action, Second Edition

Conditional routing is a pattern in which a router directs an input to one or more specialized agents or workflows according to the input's characteristics.

Conditional routing sends an input to a specialized agent or workflow based on what the input needs. A router first decides who should handle the request, then hands it off. Unlike a flow that runs the same agents for every input, a branch selects a path for each request. section 4.1.3

Routing support requests

A customer-support router can send a technical question to a technical expert and a billing question to a finance agent. The same pattern could direct a user query to a math problem-solver rather than a legal-reasoning agent. section 4.1.3

Use branching when requests cover distinct domains and not every agent should attempt every task. Skip it when one generalist can handle the inputs: routing adds overhead. Check the boundary between branches carefully. A misclassified request may get a poor answer, while a request spanning two domains may not fit a simple choice. section 4.1.3

How AI Agents in Action, Second Edition covers it

How deep it goes
Defines classifier-based handoff and discusses suitability and failure modes, but does not specify classifier design or implementation.
Examples
Uses technical versus billing support requests and math versus legal queries to illustrate branch choices.
What you can do after
Evaluate/understand when branching fits a mixed task load and when overhead, misclassification, or cross-domain queries make it risky.
How it connects
Connects classification and specialized agents to multi-agent coordination alongside sequential flow and parallel delegation.

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