How toAgents & Toolsai this ai that · 12h ago
How to reduce AI costs by setting up a model decision router
Learn how to build an application architecture that routes tasks to different AI tiers based on complexity. Implementing this approach helps save money by reserving expensive models for difficult queries while sending routine tasks to budget models.
Try it yourself
- 1Identify recurring tasks in your codebase where all possible output choices are known in advance.
- 2Create a wrapper function that isolates classification logic from the rest of your system.
- 3Use structured output settings on a lightweight model to evaluate input and return a precise category.
- 4Send basic tasks to low-cost models and high-complexity requests to advanced reasoning models.
- 5Update the router logic internally when specialized decision endpoints become widely accessible.
OpenAI
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