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Show cost breakdown by bucket (input / output / cache read / cache write) on the dashboard #5

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Show cost breakdown by bucket (input / output / cache read / cache write) on the dashboard #5

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23 changes: 22 additions & 1 deletion tracker/api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@

from .db import DEFAULT_DB_PATH, connect, init
from .ingest import run as run_ingest
from .pricing import _lookup as _price_lookup
from .pricing import _lookup as _price_lookup, reload as _price_reload
from .recompute_costs import run as run_recompute

ROOT = Path(__file__).resolve().parent.parent
Expand Down Expand Up @@ -147,6 +147,27 @@ def stats(
{join}""", params).fetchone()
totals = dict(totals_row)

# Cost breakdown by bucket. Group tokens by (tool, model), apply per-bucket rates,
# then sum. Lets the UI show "where the $ went" (cache reads almost always dominate).
by_tm = c.execute(
f"""SELECT m.tool, m.model,
SUM(m.input_tokens) AS in_tok,
SUM(m.output_tokens) AS out_tok,
SUM(m.cache_read) AS cr_tok,
SUM(m.cache_write_5m) AS cw5_tok,
SUM(m.cache_write_1h) AS cw1_tok
{join}
GROUP BY m.tool, m.model""", params).fetchall()
cb = {"input": 0.0, "output": 0.0, "cache_read": 0.0, "cache_write_5m": 0.0, "cache_write_1h": 0.0}
for r in by_tm:
p = _price_lookup(r["tool"], r["model"])
cb["input"] += (r["in_tok"] or 0) * p.get("input", 0) / 1_000_000
cb["output"] += (r["out_tok"] or 0) * p.get("output", 0) / 1_000_000
cb["cache_read"] += (r["cr_tok"] or 0) * p.get("cache_read", 0) / 1_000_000
cb["cache_write_5m"] += (r["cw5_tok"] or 0) * p.get("cache_write_5m", 0) / 1_000_000
cb["cache_write_1h"] += (r["cw1_tok"] or 0) * p.get("cache_write_1h", 0) / 1_000_000
totals["cost_breakdown"] = {k: round(v, 4) for k, v in cb.items()}

# Active hours: sum over sessions of (max(ts) - min(ts)) within the filter window.
# This excludes pure idle gaps between sessions and gives a more meaningful rate.
active_row = c.execute(
Expand Down
9 changes: 8 additions & 1 deletion web/app.js
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Original file line number Diff line number Diff line change
Expand Up @@ -176,11 +176,18 @@ function renderCards(totals) {
const freshTokens = tokens_in + tokens_out + tokens_cw5 + tokens_cw1;
const allTokens = freshTokens + tokens_hit;
const cacheShare = allTokens ? tokens_hit / allTokens : 0;
const cb = totals.cost_breakdown || {};
const cwTotal = (cb.cache_write_5m || 0) + (cb.cache_write_1h || 0);
const pct = (v) => cost ? Math.round((v / cost) * 100) + "%" : "—";
const cards = [
{ label: "est cost", value: fmt.usd(cost), accent: true },
{ label: "$ / active hour", value: fmt.usd(cph), accent: true, sub: "Σ session spans" },
{ label: "cost: cache read", value: fmt.usd(cb.cache_read), sub: pct(cb.cache_read || 0) + " of total" },
{ label: "cost: cache write", value: fmt.usd(cwTotal), sub: pct(cwTotal) + " of total · 5m+1h" },
{ label: "cost: output", value: fmt.usd(cb.output), sub: pct(cb.output || 0) + " of total · incl reasoning" },
{ label: "cost: fresh input", value: fmt.usd(cb.input), sub: pct(cb.input || 0) + " of total" },
{ label: "cache share (tokens)", value: Math.round(cacheShare * 100) + "%", sub: fmt.n(tokens_hit) + " cache hits" },
{ label: "fresh + output tokens", value: fmt.short(freshTokens), sub: fmt.n(freshTokens) },
{ label: "cache share", value: Math.round(cacheShare * 100) + "%", sub: fmt.n(tokens_hit) + " cache hits" },
{ label: "sessions", value: fmt.n(totals.sessions) },
{ label: "messages", value: fmt.n(totals.msgs) },
{ label: "active hours", value: ah < 1 ? ah.toFixed(2) : ah.toFixed(1) },
Expand Down