Use case · Reduce LLM costs
Cut your agent's model bill without guessing.
Find the steps that overpay for a frontier model, and prove the cheaper swap before you ship it.
Before rightmodeler
- Every step runs the frontier model, because nobody can prove a cheaper one holds.
- Swaps happen on vibes: a leaderboard, a launch thread, a hunch. Regressions ship silently.
- The invoice is one number. Which step spent it, nobody can say.
- Evaluating one candidate properly is a two-day project, so it stays unscheduled.
- The expensive default survives another quarter, and the bill scales with your growth.
With rightmodeler
- Every step is audited on your own traces, and the safe swaps are proven per step.
- Candidates are judged against the output you already shipped, with a quality floor.
- The report has line items: save, quality, evidence, and confidence for every call.
- One command on the traces you already have. No new SDK, nothing in your request path.
- Weak evidence means abstain: the frontier model stays exactly where it earns its price.
Run the audit today
One command installs the skill. The report runs on the traces you already have and hands you the safe swaps.
rightmodeler · per-step reportillustrative
summarizesave 85% · Q 0.94
gpt-5.6 → gpt-5.4-mini
extract_jsonsave 96% · Q 1.00
gpt-5.5 → gpt-5.4-nano
sql_generationsave 50% · Q 0.91
gpt-5.6 → gpt-5.4
auth_code_editabstain · high-risk
stays on gpt-5.6
Then make it continuous
The agent will ship safe swaps as pull requests, and Crucible keeps every layer watched. Both are on the way.
// rightmodeler.config.ts
export default audit({
traces: "./traces/*.jsonl",
reference: "shipped",
floor: 0.90,
judge: "cross-family",
});
Frequently asked questions
- Will cutting cost hurt quality?
- Only if you downgrade blind. rightmodeler proves each swap against the output you already shipped and enforces a quality floor, so a step moves to a cheaper model only when quality holds. When it can't prove that, it abstains and keeps the frontier model.
- How much can I save?
- It depends on your traces: which steps are over-provisioned, and how cheap a model still clears your quality floor. rightmodeler measures it on your own runs rather than quoting a benchmark; the figures on this page are an illustrative example, not measured results.
- Do I have to switch models everywhere?
- No. The audit is per step, not all-or-nothing. Adopt one safe swap and leave the rest on the frontier model.
- Do I need new instrumentation?
- No. rightmodeler reads the traces you already emit across eight formats, folds them into one per-step schema, and runs offline. Nothing sits in your request path.