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Multi-Agent Classification Framework
A workflow design pattern that uses a classifier agent to route users to specialized agents based on their type or intent, rather than using one general-purpose agent for all tasks
How It Works
Input flows to a classifier agent that analyzes the request and determines user type, then routes to appropriate specialized agents (e.g., support vs sales) with specific training and tools
Components
Create classifier agent with clear examples of each user type
Build specialized agents for each user category
Define routing logic based on classifier output
Connect specialized agents to appropriate tools and data sources
Implement feedback loops for classification accuracy
When to Use
When you have distinct user types with different needs, when tasks require specialized knowledge or tools, when you want to optimize agent performance for specific scenarios
When Not to Use
For simple single-purpose applications, when user types overlap significantly, when the classification logic is too complex to be reliable
Anti-Patterns to Avoid
Example
“A SaaS company chatbot that classifies visitors as existing customers (routes to support agent with knowledge base) or potential leads (routes to sales agent that collects qualification data)”