[Doc] Reorganize intelligent routing tutorials into focused guides

[Xunzhuo]

Description

This PR reorganizes the intelligent routing documentation to provide clearer, more focused guides for each routing method. The new structure aligns with the actual configuration files in config/intelligent-routing/ and provides comprehensive use cases for each approach.

Changes

Removed Files

• ❌ overview.md - Replaced with focused routing guides
• ❌ reasoning.md - Replaced with focused routing guides

New Files (4 focused routing guides)

1. ✅ domain-routing.md - Fine-tuned classification routing (efficient, specialized)

   • Based on config/intelligent-routing/in-tree/bert_classification.yaml
   • Supports ModernBERT, Qwen3-Embedding, EmbeddingGemma models
   • LoRA adapter support for multi-task classification
   • Use cases: academic domains, PII detection, multilingual support

2. ✅ embedding-routing.md - Semantic similarity routing (scalable, fast)

   • Based on config/intelligent-routing/in-tree/embedding.yaml
   • Multiple embedding models with aggregation methods
   • Use cases: customer support, product inquiries, scalable categories

3. ✅ keyword-routing.md - Keyword-based routing (transparent, compliant)

   • Based on config/intelligent-routing/in-tree/keyword.yaml
   • Boolean operators (OR, AND, NOR) and regex patterns
   • Use cases: compliance, security, spam filtering, audit trails

4. ✅ mcp-routing.md - External service routing (extensible, private)

   • Based on config/intelligent-routing/out-tree/config-mcp-classifier.yaml
   • HTTP API integration for custom classification logic
   • Use cases: LLM-powered classification, custom business rules, private deployment

Updated Files

• ✅ lora-routing.md - Clarified that LoRA routing combines other routing methods (domain/embedding/keyword/MCP) with vLLM's LoRA adapter support
• ✅ sidebars.ts - Updated navigation to reflect new structure

Structure Improvements

Each guide now follows a consistent, user-friendly structure:

• Friendly introduction - "This guide shows you how to..."
• Key Advantages - Clear benefits of each approach
• What Problem Does It Solve - Problem-solution context
• When to Use - Decision guidance for choosing the right method
• Configuration - Practical examples with explanations
• Real-World Use Cases - 5-6 scenarios with Problem/Solution/Impact
• Next Steps - Links to related documentation

Benefits

1. ✅ Clearer organization - Each routing method has its own focused guide
2. ✅ Better discoverability - Users can quickly find the right routing method for their use case
3. ✅ Comprehensive examples - Real-world use cases with concrete metrics
4. ✅ Consistent structure - All guides follow the same format for easy navigation
5. ✅ Accurate technical details - Reflects current multi-model support (ModernBERT, Qwen3, Gemma) and LoRA capabilities

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Pull Request opened by Augment Code with guidance from the PR author

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[github-actions]

👥 vLLM Semantic Team Notification

The following members have been identified for the changed files in this PR and have been automatically assigned:

📁 website

Owners: @Xunzhuo, @rootfs, @yuluo-yx
Files changed:

• website/docs/tutorials/intelligent-route/domain-routing.md
• website/docs/tutorials/intelligent-route/embedding-routing.md
• website/docs/tutorials/intelligent-route/keyword-routing.md
• website/docs/tutorials/intelligent-route/mcp-routing.md
• website/docs/tutorials/intelligent-route/lora-routing.md
• website/sidebars.ts

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🎉 Thanks for your contributions!

This comment was automatically generated based on the OWNER files in the repository.

[yuluo-yx]

/lgtm