iper / src /duckai.ts
GeminiBot
Implement strict sequencer: start requests every 300ms to mimic human flow and avoid IP bans
3727a06
raw
history blame
5.76 kB
import { JSDOM } from "jsdom";
import { createHash } from "node:crypto";
import { Buffer } from "node:buffer";
import UserAgent from "user-agents";
// Глобальное управление потоком
let activeRequests = 0;
const MAX_CONCURRENT = 50; // Сколько всего запросов может "висеть" одновременно
let lastRequestStartTime = 0;
const MIN_GAP_MS = 300; // ЖЕСТКИЙ ИНТЕРВАЛ: 3.3 запроса в секунду (безопасный порог для одного IP)
export class DuckAI {
// Функция "Диспетчер" - гарантирует, что запросы стартуют строго по очереди с паузой
private async waitInQueue(reqId: string): Promise<void> {
const now = Date.now();
// Вычисляем, когда этому запросу разрешено стартовать
const targetStartTime = Math.max(now, lastRequestStartTime + MIN_GAP_MS);
lastRequestStartTime = targetStartTime;
const waitTime = targetStartTime - now;
if (waitTime > 0) {
// console.log(`[${reqId}] [Queue] Waiting ${waitTime}ms to maintain pace...`);
await new Promise(r => setTimeout(r, waitTime));
}
}
private async solveChallenge(vqdHash: string, reqId: string): Promise<string> {
try {
const jsScript = Buffer.from(vqdHash, 'base64').toString('utf-8');
const dom = new JSDOM(
`<iframe id="jsa" sandbox="allow-scripts allow-same-origin" srcdoc="<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Security-Policy" content="default-src 'none'; script-src 'unsafe-inline'">
</head>
<body></body>
</html>" style="position: absolute; left: -9999px; top: -9999px;"></iframe>`,
{ runScripts: 'dangerously', resources: "usable", url: "https://duckduckgo.com/" }
);
const window = dom.window as any;
window.screen = { width: 1920, height: 1080, availWidth: 1920, availHeight: 1080 };
window.chrome = { runtime: {} };
window.top.__DDG_BE_VERSION__ = 1;
window.top.__DDG_FE_CHAT_HASH__ = 1;
const jsa = window.document.querySelector('#jsa');
const contentDoc = jsa.contentDocument || jsa.contentWindow.document;
const meta = contentDoc.createElement('meta');
meta.setAttribute('http-equiv', 'Content-Security-Policy');
meta.setAttribute('content', "default-src 'none'; script-src 'unsafe-inline';");
contentDoc.head.appendChild(meta);
const result = await window.eval(jsScript) as any;
if (!result) throw new Error("Challenge script returned nothing");
result.client_hashes[0] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36';
const solved = btoa(JSON.stringify({
...result,
client_hashes: result.client_hashes.map((t: string) => {
const hash = createHash('sha256');
hash.update(t);
return hash.digest('base64');
})
}));
dom.window.close();
return solved;
} catch (e: any) {
throw new Error(`Challenge Failed: ${e.message}`);
}
}
async chat(request: any): Promise<string> {
const reqId = Math.random().toString(36).substring(7).toUpperCase();
// 1. Становимся в очередь на старт
await this.waitInQueue(reqId);
activeRequests++;
const startTime = Date.now();
const userAgent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36';
const headers = {
"User-Agent": userAgent,
"Accept": "text/event-stream",
"x-vqd-accept": "1",
"x-fe-version": "serp_20250401_100419_ET-19d438eb199b2bf7c300"
};
try {
console.log(`[${reqId}] [Chat] EXECUTING (Parallel: ${activeRequests})`);
// Получаем токен
const statusRes = await fetch("https://duckduckgo.com/duckchat/v1/status?q=1", { headers });
const hashHeader = statusRes.headers.get("x-vqd-hash-1");
if (!hashHeader) throw new Error(`Status ${statusRes.status}: No VQD`);
// Решаем капчу
const solvedVqd = await this.solveChallenge(hashHeader, reqId);
// Сам запрос
const response = await fetch("https://duckduckgo.com/duckchat/v1/chat", {
method: "POST",
headers: { ...headers, "Content-Type": "application/json", "x-vqd-hash-1": solvedVqd },
body: JSON.stringify(request)
});
if (!response.ok) {
const body = await response.text();
throw new Error(`DDG Error ${response.status}: ${body.substring(0, 50)}`);
}
const text = await response.text();
let llmResponse = "";
const lines = text.split("\n");
for (const line of lines) {
if (line.startsWith("data: ")) {
try {
const chunk = line.slice(6);
if (chunk === "[DONE]") break;
const json = JSON.parse(chunk);
if (json.message) llmResponse += json.message;
} catch (e) {}
}
}
console.log(`[${reqId}] [Chat] SUCCESS (${Date.now() - startTime}ms)`);
return llmResponse.trim() || "Empty response";
} catch (error: any) {
console.error(`[${reqId}] [Chat] FAILED: ${error.message}`);
throw error;
} finally {
activeRequests--;
}
}
getAvailableModels() { return ["gpt-4o-mini", "gpt-5-mini", "openai/gpt-oss-120b"]; }
}