Model Routing
Model Routing
📖 Definition
Model Routing is a technique that dynamically selects the most appropriate LLM based on request complexity, cost requirements, response time, or content type. It can balance cost and performance to achieve optimal utilization of AI resources.
🔗 How Higress Uses This
Higress provides powerful model routing capabilities, distributing traffic to GPT-4 or lower-cost local models based on request characteristics such as user level and token length.
💡 Examples
- 1 Simple classification tasks routed to lightweight models to reduce costs
- 2 Logical reasoning tasks routed to high-performance large models to ensure accuracy
- 3 Automatically switches to backup model routing when the primary model responds slowly
🔄 Related Terms
❓ FAQ
What is Model Routing?
Model Routing is a technique that dynamically selects the most appropriate LLM based on request complexity, cost requirements, response time, or content type. It can balance cost and performance to achieve optimal utilization of AI resources.
How does Higress support Model Routing?
Higress provides powerful model routing capabilities, distributing traffic to GPT-4 or lower-cost local models based on request characteristics such as user level and token length.
Learn More About Higress
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