Download bench.mjs from broadfield/openjev-cpu-deploy-kit: direct link, hf CLI and curl.
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https://huggingface.co/datasets/broadfield/openjev-cpu-deploy-kit/resolve/main/bench.mjs
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3.02 kB
| // OpenJev CPU smoke-bench: warmup, 1-question latency x N, 10-question batch, ops. | |
| // Usage: node bench.mjs http://localhost:7860 [--batch 1 --n 5 --token x] | |
| const BASE = process.argv[1] ?? "http://localhost:7860"; | |
| const args = process.argv.slice(2); | |
| const opt = (k, d) => { const i = args.indexOf(k); return i >= 0 ? Number(args[i + 1] ?? d) : d; }; | |
| const N = opt("--n", 5); | |
| const B = opt("--batch", 10); | |
| const token = (() => { const i = args.indexOf("--token"); return i >= 0 ? args[i + 1] : ""; })(); | |
| const headers = { "Content-Type": "application/json", ...(token ? { Authorization: `Bearer ${token}` } : {}) }; | |
| const baseQ = (suffix) => ({ | |
| state: `Customer message: I was charged twice for my order last week${suffix}`, | |
| questions: { | |
| route: { type: "choice", instructions: "Which team should handle this?", | |
| criteria: { billing: null, shipping: null, technical: null } }, | |
| angry: { type: "noul", instructions: "Is the customer angry?" }, | |
| urgency: { type: "score", instructions: "How urgent is this?", | |
| criteria: ["can wait", "this week", "today", "right now"] }, | |
| }, | |
| }); | |
| async function post(path, body) { | |
| const t0 = Date.now(); | |
| const r = await fetch(BASE + path, { method: "POST", headers, body: JSON.stringify(body) }); | |
| const ms = Date.now() - t0; | |
| const json = await r.json(); | |
| if (!r.ok) { console.error(`HTTP ${r.status} ${path}:`, JSON.stringify(json).slice(0, 300)); process.exit(1); } | |
| return { ms, json }; | |
| } | |
| const mean = (a) => a.reduce((x, y) => x + y, 0) / a.length; | |
| const sleep = (s) => new Promise((r) => setTimeout(r, s * 1000)); | |
| const { ms } = await post("/v1/healthz", {}); | |
| console.log(`healthz ${ms} ms`); | |
| const v = await fetch(BASE + "/v1/version").then((r) => r.json()); | |
| console.log(`version: backend=${v?.backend} model=${v?.model_dir} profile=${v?.profile} T=${v?.T}`); | |
| // warmup (first call pays cold model load if the Space just woke) | |
| const w = await post("/v1/systemone", baseQ(" and nobody replied.")); | |
| console.log(`warmup: ${w.ms} ms -> ${w.json?.answers?.route?.choice}`); | |
| // single-question latency | |
| const lat = []; | |
| for (let i = 0; i < N; i++) { | |
| const r = await post("/v1/systemone", baseQ(` and nobody replied (${i}).`)); | |
| lat.push(r.ms); const a = r.json.answers; | |
| console.log(`q${i}: ${r.ms} ms route=${a.route.choice} angry=${a.angry.noul.toFixed(2)} score=${a.urgency.score.toFixed(2)} tok=${r.json.usage.input_tokens}`); | |
| await sleep(0.2); | |
| } | |
| // batched (one pass, many questions) | |
| const multi = { state: baseQ(".").state, questions: {} }; | |
| for (let i = 0; i < B; i++) multi.questions[`q${i}`] = { type: "choice", instructions: `Pick a team for case ${i}.`, criteria: { billing: null, shipping: null, technical: null } }; | |
| const b = await post("/v1/systemone", multi); | |
| console.log(`\nbatch ${B} questions: ${b.ms} ms (${(b.ms - w.ms).toFixed(0)} ms extra vs warmup single)`); | |
| console.log(`\nsummary: single-question mean ${Math.round(mean(lat))} ms over ${N} | batch(${B}) ${b.ms} ms`); |