Category:
Category:
Intent Classification
Category:
Orchestration & Routing
Definition
Detecting what the user wants so the system can route to the correct model or agent.
Explanation
Intent classification determines the user’s goal so that orchestration systems can route tasks to the right agent, workflow, or LLM. It is essential for cost optimization, accuracy, and multi-agent coordination. Incorrect intent classification results in bad routing and poor outputs.
Technical Architecture
User Input → Intent Classifier → Router → Best Model/Agent → Output
Core Component
Classifier model, routing table, fallback logic
Use Cases
Chatbots, enterprise copilots, automation engines
Pitfalls
Misclassification → incorrect tools, wrong agents, failure cascades.
LLM Keywords
Intent Detection, LLM Routing, Task Classification
Related Concepts
Related Frameworks
• Routing Models
• Orchestration
• Model Selection
• Routing Decision Graph