How we cut Agent inference spend with GridNexa Router

Background: six Agent pipelines were pinned to a single flagship model, and QC traffic dominated spend.

We classified tasks by complexity and let Router choose lighter models for simple turns.

Budget caps on non-critical routes protected monthly spend without noticeable quality regressions.

Takeaway: structured output validation matters when models auto-downgrade.