feat(ui): AI Usage Sacred Valley card + /api/ai-usage proxy (Claude tokens + local model perf)

Summarises the Homelab Monitor (CT300 :8080) into a blackflame card: Claude Code
token usage today/week + top model, and OpenClaw/Ollama p50/p95 latency + error rate.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
root
2026-06-04 23:40:28 +10:00
parent 6d01cb34a7
commit 5aba750102
6 changed files with 142 additions and 1 deletions

View File

@@ -31,6 +31,7 @@ import { router as healthRouter } from './routes/health.js';
import { router as securityRouter } from './routes/security.js'; import { router as securityRouter } from './routes/security.js';
import { router as actionsRouter } from './routes/actions.js'; import { router as actionsRouter } from './routes/actions.js';
import { router as littleblueRouter } from './routes/littleblue.js'; import { router as littleblueRouter } from './routes/littleblue.js';
import { router as aiUsageRouter } from './routes/ai_usage.js';
export function mountApi(app) { export function mountApi(app) {
const api = Router(); const api = Router();
@@ -45,6 +46,7 @@ export function mountApi(app) {
api.use('/security', securityRouter); api.use('/security', securityRouter);
api.use('/actions', actionsRouter); api.use('/actions', actionsRouter);
api.use('/little-blue', littleblueRouter); api.use('/little-blue', littleblueRouter);
api.use('/ai-usage', aiUsageRouter);
api.use('/projects', projectsRouter); api.use('/projects', projectsRouter);
api.use('/projects/:project_id/tasks', tasksByProjectRouter); api.use('/projects/:project_id/tasks', tasksByProjectRouter);
api.use('/tasks', tasksRouter); api.use('/tasks', tasksRouter);

View File

@@ -0,0 +1,55 @@
import { Router } from 'express';
import { asyncWrap } from '../errors.js';
// Surfaces the Homelab Monitor (phuryn/claude-usage fork) on CT 300 as a compact
// summary for the Sacred Valley "AI Usage" card. The monitor owns the data
// (scans ~/.claude/**/*.jsonl + OpenClaw trajectories → usage.db); we just fetch
// + condense its API over the LAN.
const MON = () => process.env.AI_USAGE_URL || 'http://192.168.1.212:8080';
// Pure: condense the monitor's /api/data + /api/openclaw into the card summary.
export function summarizeUsage(data, openclaw) {
const rows = (data && data.daily_by_model) || [];
const days = [...new Set(rows.map(r => r.day))].sort();
const today = days[days.length - 1] || null;
const weekDays = new Set(days.slice(-7));
const acc = (pred) => rows.filter(pred).reduce((a, r) => ({
input: a.input + (r.input || 0),
output: a.output + (r.output || 0),
cache: a.cache + (r.cache_read || 0) + (r.cache_creation || 0),
turns: a.turns + (r.turns || 0)
}), { input: 0, output: 0, cache: 0, turns: 0 });
const modelTokens = {};
for (const r of rows) if (weekDays.has(r.day)) modelTokens[r.model] = (modelTokens[r.model] || 0) + (r.input || 0) + (r.output || 0);
const topModel = Object.entries(modelTokens).sort((a, b) => b[1] - a[1])[0]?.[0] || null;
const byModel = (openclaw && openclaw.summary && openclaw.summary.by_model) || [];
const sorted = [...byModel].sort((a, b) => (b.count || 0) - (a.count || 0));
const clean = (m) => m.replace(/^ollama\//, '');
const local = {
runs: byModel.reduce((a, m) => a + (m.count || 0), 0),
models: sorted.map(m => ({ model: clean(m.model), count: m.count, p50_ms: m.p50_ms, p95_ms: m.p95_ms, error_rate: m.error_rate })),
top: sorted[0] ? { model: clean(sorted[0].model), p50_ms: sorted[0].p50_ms, p95_ms: sorted[0].p95_ms, error_rate: sorted[0].error_rate } : null
};
return {
ok: true,
generated_at: data?.generated_at || null,
today,
claude: { today: acc(r => r.day === today), week: acc(r => weekDays.has(r.day)), top_model: topModel },
local
};
}
export const router = Router();
router.get('/', asyncWrap(async (_req, res) => {
const base = MON();
const [data, openclaw] = await Promise.all([
fetch(`${base}/api/data`, { signal: AbortSignal.timeout(5000) }).then(r => r.ok ? r.json() : null).catch(() => null),
fetch(`${base}/api/openclaw`, { signal: AbortSignal.timeout(5000) }).then(r => r.ok ? r.json() : null).catch(() => null)
]);
if (!data) return res.json({ ok: false, error: 'monitor unreachable', url: base });
res.json(summarizeUsage(data, openclaw));
}));

View File

@@ -189,6 +189,12 @@ button.ghost:hover { color: var(--text); border-color: var(--accent-dim); }
.rev-modal .md-preview { padding: 16px 20px; overflow-y: auto; flex: 1; } .rev-modal .md-preview { padding: 16px 20px; overflow-y: auto; flex: 1; }
.rev-modal-foot { padding: 12px 16px; border-top: 1px solid var(--border); display: flex; justify-content: flex-end; } .rev-modal-foot { padding: 12px 16px; border-top: 1px solid var(--border); display: flex; justify-content: flex-end; }
/* AI Usage card */
.aiu-sec { margin-bottom: 12px; }
.aiu-h { font-family: var(--font-display); font-size: 10px; text-transform: uppercase; letter-spacing: 0.14em; color: var(--muted); margin-bottom: 6px; border-bottom: 1px solid var(--border); padding-bottom: 4px; }
.aiu-link { display: inline-block; margin-top: 4px; font-size: 11px; color: var(--accent); text-decoration: none; }
.aiu-link:hover { text-decoration: underline; }
/* modal */ /* modal */
.modal-backdrop { position: fixed; inset: 0; background: rgba(0,0,0,0.6); display: flex; align-items: center; justify-content: center; z-index: 100; } .modal-backdrop { position: fixed; inset: 0; background: rgba(0,0,0,0.6); display: flex; align-items: center; justify-content: center; z-index: 100; }
.modal { .modal {

View File

@@ -0,0 +1,41 @@
// Sacred Valley card: AI Usage — Claude Code token usage + local (OpenClaw/Ollama)
// performance, summarised from the Homelab Monitor via /api/ai-usage.
import { el, mount } from '../../dom.js';
import { api } from '../../api.js';
let body;
const fmt = (n) => { n = Number(n) || 0; if (n >= 1e6) return (n / 1e6).toFixed(1) + 'M'; if (n >= 1e3) return (n / 1e3).toFixed(1) + 'k'; return String(n); };
const dur = (ms) => ms == null ? '—' : (ms >= 1000 ? (ms / 1000).toFixed(1) + 's' : Math.round(ms) + 'ms');
const mono = (t, color) => el('span', { style: { fontFamily: 'var(--font-mono)', ...(color ? { color } : {}) } }, t);
async function load() {
if (!body) return;
try {
const u = await api.get('/api/ai-usage');
if (!u.ok) { mount(body, el('span', { class: 'muted' }, 'Monitor unreachable (' + (u.url || '') + ')')); return; }
const c = u.claude, l = u.local;
mount(body,
el('div', { class: 'aiu-sec' },
el('div', { class: 'aiu-h' }, 'Claude Code'),
el('div', { class: 'sv-row' }, el('span', { class: 'k' }, 'today'), mono(`${fmt(c.today.input)}${fmt(c.today.output)}`)),
el('div', { class: 'sv-row' }, el('span', { class: 'k' }, 'cache · turns'), mono(`${fmt(c.today.cache)} · ${c.today.turns}`)),
el('div', { class: 'sv-row' }, el('span', { class: 'k' }, 'week'), mono(`${fmt(c.week.input + c.week.output)} tok`)),
el('div', { class: 'sv-row' }, el('span', { class: 'k' }, 'top model'), mono((c.top_model || '—').replace(/^claude-/, ''), 'var(--accent)'))
),
el('div', { class: 'aiu-sec' },
el('div', { class: 'aiu-h' }, 'Local · OpenClaw'),
l.top
? el('div', {},
el('div', { class: 'sv-row' }, el('span', { class: 'k' }, l.top.model), mono(`${dur(l.top.p50_ms)} p50 · ${dur(l.top.p95_ms)} p95`)),
el('div', { class: 'sv-row' }, el('span', { class: 'k' }, 'runs · err'), mono(`${l.runs} · ${(l.top.error_rate * 100).toFixed(0)}%`)))
: el('span', { class: 'muted' }, 'No local runs yet')
),
el('a', { class: 'aiu-link', href: 'http://192.168.1.212:8080/', target: '_blank', rel: 'noopener' }, 'Full dashboard ↗')
);
} catch { mount(body, el('span', { class: 'muted' }, 'No usage data')); }
}
export default {
id: 'ai-usage', title: 'AI Usage', size: 'm',
mount(e) { body = e; load(); }, start() {}, stop() { body = null; }
};

View File

@@ -12,8 +12,9 @@ import jobs from './cards/jobs.js';
import inbox from './cards/inbox.js'; import inbox from './cards/inbox.js';
import search from './cards/search.js'; import search from './cards/search.js';
import speedtest from './cards/speedtest.js'; import speedtest from './cards/speedtest.js';
import aiUsage from './cards/ai_usage.js';
const CARD_MODULES = [clock, weather, hostPerf, jobs, inbox, search, speedtest]; const CARD_MODULES = [clock, weather, hostPerf, jobs, inbox, search, speedtest, aiUsage];
const BY_ID = new Map(CARD_MODULES.map(d => [d.id, d])); const BY_ID = new Map(CARD_MODULES.map(d => [d.id, d]));
let active = []; // mounted cards needing stop() let active = []; // mounted cards needing stop()

View File

@@ -0,0 +1,36 @@
import { describe, it, expect } from 'vitest';
import { summarizeUsage } from '../../lib/api/routes/ai_usage.js';
describe('summarizeUsage', () => {
it('sums today + week tokens, picks top model, condenses local perf', () => {
const data = {
generated_at: '2026-06-04T23:00:00Z',
daily_by_model: [
{ day: '2026-06-04', model: 'claude-opus-4-8', input: 100, output: 200, cache_read: 1000, cache_creation: 50, turns: 5 },
{ day: '2026-06-04', model: 'claude-sonnet-4-6', input: 10, output: 20, cache_read: 0, cache_creation: 0, turns: 2 },
{ day: '2026-06-03', model: 'claude-opus-4-8', input: 1, output: 1, cache_read: 0, cache_creation: 0, turns: 1 }
]
};
const openclaw = { summary: { by_model: [
{ model: 'ollama/qwen2.5-coder:7b', count: 165, errors: 0, error_rate: 0, p50_ms: 3540, p95_ms: 88749 },
{ model: 'ollama/llama3.1:8b', count: 50, errors: 2, error_rate: 0.04, p50_ms: 17443, p95_ms: 17991 }
] } };
const s = summarizeUsage(data, openclaw);
expect(s.ok).toBe(true);
expect(s.today).toBe('2026-06-04');
expect(s.claude.today).toEqual({ input: 110, output: 220, cache: 1050, turns: 7 });
expect(s.claude.week.turns).toBe(8); // includes 06-03
expect(s.claude.top_model).toBe('claude-opus-4-8'); // most tokens this week
expect(s.local.runs).toBe(215);
expect(s.local.top.model).toBe('qwen2.5-coder:7b'); // ollama/ stripped, highest count
expect(s.local.top.p95_ms).toBe(88749);
});
it('handles a missing openclaw payload', () => {
const s = summarizeUsage({ daily_by_model: [] }, null);
expect(s.ok).toBe(true);
expect(s.local.runs).toBe(0);
expect(s.local.top).toBeNull();
});
});