Route #13 · Done-for-you reporting

LLM Cost & Ops Dashboard

Your numbers, current, with zero manual work — multi-model spend, token flow, and rate-limit headroom in one live view.

DEMO · synthetic data

The problem

Nobody knows what the AI features actually cost until the bill lands. Spend hides across models and endpoints with no ROI attached, and the manual exports to track it eat the same hours every week.

What the automation does

Streams spend, latency, and ROI per workflow into one always-current view, and routes bulk jobs to ~98% cheaper models automatically. Here: $415 / 14d, 3.0× ROI, no manual exports.

Cost over time

USD / day blended spend

Spend by model

range total

Rate-limit headroom

live % point-in-time

Model router

cheapest viable

1 · Task type

2 · Constraints

Needs vision Heavy tool use Open-weight only

Pick a task type, then run the router to get the cheapest model that clears the quality bar.

Per-model usage

token_count · range in · out · cache read · cost

Model	Sessions	Tokens in	Tokens out	Cache read	Cache hit	Cost

sprint · route #13 · LLM cost & ops reporting · synthetic snapshot, regenerates on real runs every 15 min

Cost over time

Spend by model

Rate-limit headroom

Model router

Per-model usage

Cost & ops ROI — drag in real numbers