Published
Router R1
Pre-trained Router-R1 model for multi-turn conversations with context-aware routing.
Overview
Router R1 is a specialized model designed for multi-turn conversation routing, maintaining context across dialogue turns to select the optimal LLM for each response.
How It Works
Unlike single-round routers that treat each query independently, Router R1 maintains a conversation state that captures the dialogue history, user intent evolution, and model performance in previous turns. This context informs each routing decision.
Strategy
Specialized for multi-turn conversation routing with context awareness.
API Endpoint
autoroute:router_r1
Use Cases
- Chat applications with multi-turn interactions
- Multi-turn dialogue systems
- Conversational AI where context matters
Best Practices
Context Window
Monitor the conversation context window size. For very long conversations, consider summarization strategies to maintain relevant context without exceeding model limits.
Related Models
- KNN Multi-Round Router — For agentic multi-step tasks
- LLM Multi-Round Router — For LLM-based meta-routing in conversations