ai-model-routing

What problem does it solve?

It helps you choose the most appropriate AI model for each task, avoiding wasted cost and latency from using a one-size-fits-all model.

Core Features & Use Cases

• Task-to-model routing: Directs prompts or workloads to the right model based on the needed capability (e.g., quality vs. speed).
• Consistent decision logic: Uses a defined routing approach so the same input type reliably maps to the same model choice.
• Use Case: When building an application that mixes summarization, classification, and extraction, route each request type to a model that fits that specific workload to improve performance.

Quick Start

Ask the AI to route an incoming request to the appropriate model using the ai-model-routing guidance.