The Overview is the dashboard home: a single screen that answers “what is my AI app doing right now, and how does it compare to before?” Every number respects the date-range picker at the top of the page, and each KPI shows a delta against the immediately preceding window of equal length.Documentation Index
Fetch the complete documentation index at: https://docs.foglamp.dev/llms.txt
Use this file to discover all available pages before exploring further.
KPI cards
| Card | What it shows |
|---|---|
| Total cost | Summed cost for the window, with a ~$/mo extrapolation and the share of LLM spans that received a price (% priced). |
| Error rate | Errored spans ÷ total spans. |
| Eval pass rate | Pass/fail ratio across scored traffic, with the number of checks scored (see Evals). |
| Latency p95 | p95 step latency, with p50 and TTFT p95 underneath. |
| Requests | Span count, with the LLM-span subset. |
| Tokens | Total tokens, broken into input/output. |
Trend charts
- Cost over time — a stacked area chart of cost per minute, split by model. The top five models get their own series; the rest roll into Other.
- Requests & errors — spans per minute with errors overlaid.
- Latency — p50 / p95 / p99 per minute.
- By model — a table of requests, tokens, p95 latency, and cost per model.
- By agent — the same, grouped by
agentName.
Models Foglamp can’t price are labelled
(unknown) in the breakdowns rather
than shown as $0 — a missing price is never silently treated as free. Add a
rule on the Pricing page to price them.