Published
Hybrid LLM Router
Hybrid LLM routing strategy — combines multiple routing approaches for robust, production-ready performance.
Overview
The Hybrid LLM Router combines multiple routing strategies into a single system, providing fallback mechanisms and ensemble decisions for maximum reliability in production environments.
How It Works
Multiple routing strategies (e.g., KNN + SVM + rule-based) are evaluated simultaneously. The final decision is made through voting, confidence-weighted averaging, or a hierarchical fallback chain.
Strategy
Combines multiple routing strategies for robust performance.
API Endpoint
autoroute:hybrid_llm
Use Cases
- When you need fallback routing strategies
- Production environments requiring high reliability
- Scenarios where no single strategy is sufficient
Best Practices
Strategy Diversity
Choose base strategies with complementary strengths. Combining a similarity-based strategy (KNN) with a learning-based strategy (MLP) and a rule-based fallback covers more edge cases than using three similar approaches.
Related Models
- AutoMix — For model output mixing rather than strategy mixing
- Graph Router — For complex query-model relationship modeling