Spring AI - Routing Workflow Pattern

This repository demonstrates the Spring AI Routing Workflow Pattern, an intelligent request routing system that uses LLM-powered classification to automatically direct customer inquiries to the most appropriate specialized support handlers.

📖 Dive Deeper: For a complete walkthrough, detailed explanations of the Routing Workflow pattern, and step-by-step instructions for the example application, read our blog post.
👉 Spring AI Routing Workflow: Intelligent Request Routing with LLM-Powered Classification

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📦 Environment Variables

Make sure to provide these Java environment variables when running the application:

• GEMINI_API_KEY: Your Google Gemini API key.

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About This Project

This project implements an E-commerce Customer Support System as a real-world example of the Spring AI Routing Workflow. It showcases how to:

• Set up a Spring Boot application with Spring AI.
• Configure Spring AI to use Google Gemini (or other LLMs).
• Implement the SupportRoutingWorkflow to intelligently classify and route customer inquiries.
• Use LLM-powered analysis to determine the most appropriate support specialist.
• Process inquiries with specialized prompts tailored for different support teams.
• Handle diverse customer inquiries including order support, product questions, technical issues, and billing concerns.
• Implement structured output parsing to extract routing decisions from LLM responses.

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Learn More: This is part of our Spring AI Agentic Workflow series. Check out our other workflow patterns:

• Chain Workflow Pattern
• Parallelization Workflow Pattern