model-router

Determining the optimal AI model tier involves analyzing task characteristics like reasoning depth, output length, and context needs to select Opus, Sonnet, or Haiku, balancing performance, cost, and risk to avoid under- or over-provisioning.

Task classification for model routing is the process of evaluating a task description to direct it to the best model tier. It balances performance, cost, and risk, selecting Opus, Sonnet, or Haiku to avoid under- or over-provisioning.

To get a cost estimate when routing tasks, the model-router skill provides an estimated cost delta alongside its routing decision. It evaluates task characteristics and outputs the recommended tier with rationale to guide governance and budgeting.

Yes, model routing works for code generation and data analysis tasks. It applies to any task with varying reasoning depth, output length, and context needs, selecting the appropriate Opus, Sonnet, or Haiku tier for optimal results.

To avoid over-provisioning AI models for content generation, use model routing to analyze task characteristics and select the most cost-effective tier. This structured routing decision balances performance and cost by matching the model tier to the task's reasoning depth.