generated from coulomb/repo-seed
Introduces end-to-end token consumption tracking so agent work is visible as a cost/effort metric alongside tasks and workplans. - Migration o2j3k4l5m6n7: token_events table with FK indexes on task_id, workstream_id, repo_id, created_at - ORM model, Pydantic schemas (TokenEventCreate, TokenEventRead with computed tokens_total, TokenSummary) - Router: POST /token-events/, GET /token-events/ (7 filters), GET /token-events/summary/ (task|workstream|repo|commit|release scope) - MCP tools: record_token_event, get_token_summary (formatted table) - update_task_status enriched with optional tokens_in/tokens_out passthrough — one call creates status update + token event - Dashboard token-cost.md page: by-repo bar, by-workplan table, by-model bar, top-10 tasks by tokens - ralph-workplan skill updated with token reporting guidance and per-task heuristics for estimating counts - Tests: test_token_events.py + test_token_passthrough.py (182 pass) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
5.2 KiB
5.2 KiB
title
| title |
|---|
| Token Cost |
import {API} from "./components/config.js";
const POLL = 60_000;
// Live poll for token data
const tokenState = (async function*() {
while (true) {
let data = {by_repo: [], by_workstream: [], top_tasks: [], by_model: [], total_events: 0}, ok = false;
try {
const r = await fetch(`${API}/token-events/?limit=1000`);
ok = r.ok;
if (ok) {
const events = await r.json();
data = buildSummary(events);
}
} catch {}
yield {data, ok, ts: new Date()};
await new Promise(res => setTimeout(res, POLL));
}
})();
function buildSummary(events) {
const byRepo = {}, byWs = {}, byModel = {}, byTask = {};
for (const e of events) {
const tot = (e.tokens_in || 0) + (e.tokens_out || 0);
if (e.repo_id) {
byRepo[e.repo_id] = byRepo[e.repo_id] || {scope_id: e.repo_id, tokens_in: 0, tokens_out: 0, event_count: 0};
byRepo[e.repo_id].tokens_in += e.tokens_in || 0;
byRepo[e.repo_id].tokens_out += e.tokens_out || 0;
byRepo[e.repo_id].event_count++;
}
if (e.workstream_id) {
byWs[e.workstream_id] = byWs[e.workstream_id] || {scope_id: e.workstream_id, tokens_in: 0, tokens_out: 0, event_count: 0};
byWs[e.workstream_id].tokens_in += e.tokens_in || 0;
byWs[e.workstream_id].tokens_out += e.tokens_out || 0;
byWs[e.workstream_id].event_count++;
}
const model = e.model || "unknown";
byModel[model] = (byModel[model] || 0) + tot;
if (e.task_id) {
byTask[e.task_id] = byTask[e.task_id] || {task_id: e.task_id, tokens_in: 0, tokens_out: 0};
byTask[e.task_id].tokens_in += e.tokens_in || 0;
byTask[e.task_id].tokens_out += e.tokens_out || 0;
}
}
const sortDesc = obj => Object.entries(obj)
.map(([k,v]) => typeof v === "number" ? {id: k, tokens_total: v} : {...v, tokens_total: (v.tokens_in||0)+(v.tokens_out||0)})
.sort((a,b) => b.tokens_total - a.tokens_total);
return {
by_repo: sortDesc(byRepo),
by_workstream: sortDesc(byWs),
by_model: Object.entries(byModel).map(([model,tokens_total]) => ({model,tokens_total})).sort((a,b)=>b.tokens_total-a.tokens_total),
top_tasks: sortDesc(byTask).slice(0,10),
total_events: events.length,
};
}
const td = tokenState.data ?? {by_repo:[], by_workstream:[], top_tasks:[], by_model:[], total_events:0};
const _ok = tokenState.ok ?? false;
const _ts = tokenState.ts;
Token Cost
const _liveEl = html`<div style="font-size:0.8rem;color:${_ok?'var(--theme-foreground-focus)':'red'}">
● ${_ok ? `Live · ${_ts?.toLocaleTimeString()} · ${td.total_events} events` : "API offline"}
</div>`;
display(_liveEl);
By Repo
if (td.by_repo.length === 0) {
display(html`<p style="color:var(--theme-foreground-muted)">No token events recorded yet.</p>`);
} else {
display(Plot.plot({
title: "Token consumption by repo",
marginLeft: 160,
width: Math.min(900, width),
x: {label: "Tokens", tickFormat: "~s"},
y: {label: null},
color: {legend: true, domain: ["tokens_in", "tokens_out"], range: ["#4e79a7","#f28e2b"]},
marks: [
Plot.barX(
td.by_repo.flatMap(r => [
{repo: r.scope_id.slice(0,8), type: "tokens_in", value: r.tokens_in},
{repo: r.scope_id.slice(0,8), type: "tokens_out", value: r.tokens_out},
]),
{x: "value", y: "repo", fill: "type", tip: true}
),
],
}));
}
By Workplan
const wsRows = td.by_workstream.slice(0, 20);
if (wsRows.length === 0) {
display(html`<p style="color:var(--theme-foreground-muted)">No workstream data yet.</p>`);
} else {
display(Inputs.table(wsRows, {
columns: ["scope_id", "tokens_in", "tokens_out", "tokens_total", "event_count"],
header: {
scope_id: "Workstream ID",
tokens_in: "Tokens In",
tokens_out: "Tokens Out",
tokens_total: "Total",
event_count: "Events",
},
format: {
scope_id: d => d.slice(0,8) + "…",
tokens_in: d => d.toLocaleString(),
tokens_out: d => d.toLocaleString(),
tokens_total: d => d.toLocaleString(),
},
width: {scope_id: 120, tokens_in: 110, tokens_out: 110, tokens_total: 110, event_count: 80},
}));
}
By Model
if (td.by_model.length === 0) {
display(html`<p style="color:var(--theme-foreground-muted)">No model data yet.</p>`);
} else {
display(Plot.plot({
title: "Token consumption by model",
marginLeft: 200,
width: Math.min(700, width),
x: {label: "Total tokens", tickFormat: "~s"},
marks: [
Plot.barX(td.by_model, {x: "tokens_total", y: "model", fill: "#4e79a7", tip: true}),
],
}));
}
Top 10 Tasks by Tokens
if (td.top_tasks.length === 0) {
display(html`<p style="color:var(--theme-foreground-muted)">No task-level data yet.</p>`);
} else {
display(Inputs.table(td.top_tasks, {
columns: ["task_id", "tokens_in", "tokens_out", "tokens_total"],
header: {task_id: "Task ID", tokens_in: "In", tokens_out: "Out", tokens_total: "Total"},
format: {
task_id: d => d.slice(0,8) + "…",
tokens_in: d => d.toLocaleString(),
tokens_out: d => d.toLocaleString(),
tokens_total: d => d.toLocaleString(),
},
}));
}