feat(sync): full code sync from release
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167
tools/perf/openai_responses_ws_v2_compare_k6.js
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167
tools/perf/openai_responses_ws_v2_compare_k6.js
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import http from 'k6/http';
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import { check, sleep } from 'k6';
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import { Rate, Trend } from 'k6/metrics';
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const baseURL = (__ENV.BASE_URL || 'http://127.0.0.1:5231').replace(/\/$/, '');
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const httpAPIKey = (__ENV.HTTP_API_KEY || '').trim();
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const wsAPIKey = (__ENV.WS_API_KEY || '').trim();
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const model = __ENV.MODEL || 'gpt-5.1';
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const duration = __ENV.DURATION || '5m';
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const timeout = __ENV.TIMEOUT || '180s';
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const httpRPS = Number(__ENV.HTTP_RPS || 10);
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const wsRPS = Number(__ENV.WS_RPS || 10);
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const chainRPS = Number(__ENV.CHAIN_RPS || 1);
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const chainRounds = Number(__ENV.CHAIN_ROUNDS || 20);
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const preAllocatedVUs = Number(__ENV.PRE_ALLOCATED_VUS || 40);
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const maxVUs = Number(__ENV.MAX_VUS || 300);
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const httpDurationMs = new Trend('openai_http_req_duration_ms', true);
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const wsDurationMs = new Trend('openai_ws_req_duration_ms', true);
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const wsChainDurationMs = new Trend('openai_ws_chain_round_duration_ms', true);
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const wsChainTTFTMs = new Trend('openai_ws_chain_round_ttft_ms', true);
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const httpNon2xxRate = new Rate('openai_http_non2xx_rate');
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const wsNon2xxRate = new Rate('openai_ws_non2xx_rate');
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const wsChainRoundSuccessRate = new Rate('openai_ws_chain_round_success_rate');
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export const options = {
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scenarios: {
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http_baseline: {
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executor: 'constant-arrival-rate',
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exec: 'runHTTPBaseline',
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rate: httpRPS,
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timeUnit: '1s',
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duration,
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preAllocatedVUs,
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maxVUs,
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tags: { path: 'http_baseline' },
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},
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ws_baseline: {
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executor: 'constant-arrival-rate',
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exec: 'runWSBaseline',
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rate: wsRPS,
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timeUnit: '1s',
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duration,
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preAllocatedVUs,
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maxVUs,
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tags: { path: 'ws_baseline' },
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},
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ws_chain_20_rounds: {
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executor: 'constant-arrival-rate',
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exec: 'runWSChain20Rounds',
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rate: chainRPS,
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timeUnit: '1s',
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duration,
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preAllocatedVUs: Math.max(2, Math.ceil(chainRPS * 2)),
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maxVUs: Math.max(20, Math.ceil(chainRPS * 10)),
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tags: { path: 'ws_chain_20_rounds' },
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},
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},
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thresholds: {
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openai_http_non2xx_rate: ['rate<0.02'],
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openai_ws_non2xx_rate: ['rate<0.02'],
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openai_http_req_duration_ms: ['p(95)<4000', 'p(99)<7000'],
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openai_ws_req_duration_ms: ['p(95)<3000', 'p(99)<6000'],
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openai_ws_chain_round_success_rate: ['rate>0.98'],
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openai_ws_chain_round_ttft_ms: ['p(99)<1200'],
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},
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};
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function buildHeaders(apiKey) {
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const headers = {
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'Content-Type': 'application/json',
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'User-Agent': 'codex_cli_rs/0.98.0',
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};
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if (apiKey) {
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headers.Authorization = `Bearer ${apiKey}`;
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}
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return headers;
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}
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function buildBody(previousResponseID) {
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const body = {
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model,
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stream: false,
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input: [
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{
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role: 'user',
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content: [{ type: 'input_text', text: '请回复一个单词: pong' }],
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},
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],
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max_output_tokens: 64,
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};
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if (previousResponseID) {
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body.previous_response_id = previousResponseID;
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}
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return JSON.stringify(body);
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}
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function postResponses(apiKey, body, tags) {
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const res = http.post(`${baseURL}/v1/responses`, body, {
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headers: buildHeaders(apiKey),
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timeout,
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tags,
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});
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check(res, {
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'status is 2xx': (r) => r.status >= 200 && r.status < 300,
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});
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return res;
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}
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function parseResponseID(res) {
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if (!res || !res.body) {
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return '';
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}
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try {
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const payload = JSON.parse(res.body);
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if (payload && typeof payload.id === 'string') {
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return payload.id.trim();
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}
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} catch (_) {
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return '';
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}
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return '';
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}
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export function runHTTPBaseline() {
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const res = postResponses(httpAPIKey, buildBody(''), { transport: 'http' });
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httpDurationMs.add(res.timings.duration, { transport: 'http' });
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httpNon2xxRate.add(res.status < 200 || res.status >= 300, { transport: 'http' });
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}
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export function runWSBaseline() {
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const res = postResponses(wsAPIKey, buildBody(''), { transport: 'ws_v2' });
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wsDurationMs.add(res.timings.duration, { transport: 'ws_v2' });
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wsNon2xxRate.add(res.status < 200 || res.status >= 300, { transport: 'ws_v2' });
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}
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// 20+ 轮续链专项,验证 previous_response_id 在长链下的稳定性与时延。
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export function runWSChain20Rounds() {
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let previousResponseID = '';
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for (let round = 1; round <= chainRounds; round += 1) {
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const roundStart = Date.now();
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const res = postResponses(wsAPIKey, buildBody(previousResponseID), { transport: 'ws_v2_chain' });
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const ok = res.status >= 200 && res.status < 300;
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wsChainRoundSuccessRate.add(ok, { round: `${round}` });
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wsChainDurationMs.add(Date.now() - roundStart, { round: `${round}` });
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wsChainTTFTMs.add(res.timings.waiting, { round: `${round}` });
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wsNon2xxRate.add(!ok, { transport: 'ws_v2_chain' });
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if (!ok) {
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return;
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}
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const respID = parseResponseID(res);
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if (!respID) {
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wsChainRoundSuccessRate.add(false, { round: `${round}`, reason: 'missing_response_id' });
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return;
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}
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previousResponseID = respID;
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sleep(0.01);
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}
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}
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export function handleSummary(data) {
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return {
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stdout: `\nOpenAI WSv2 对比压测完成\n${JSON.stringify(data.metrics, null, 2)}\n`,
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'docs/perf/openai-ws-v2-compare-summary.json': JSON.stringify(data, null, 2),
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};
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}
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