Profiler compares AI setups to find where tokens drive up cost
An profiler was built to explain unexpectedly high AI costs by showing where tokens are being used. A comparison feature, added after early user feedback, extends its existing cost-saving analysis and token . Users can A/B test prompts, models, and to compare how each setup affects token use and cost.
It also supports , helping locate token-heavy parts of the setup that runs an . No measured savings or comparison results were provided.
Key points
- The profiler analyzes where tokens are used and how they contribute to AI costs.
- Users can A/B test different prompts, models, and .
- The comparison feature was added after early user feedback.
- It can analyze token use in .