DeepSearch MCP

import { config as loadEnv } from "dotenv"; import { DeepSearchAgent } from "../deepsearch_agents/deepsearch.js"; async function main() { loadEnv(); const agent = new DeepSearchAgent(); const query = process.argv[2] ?? "OpenAI 最新发布"; const topK = Number(process.argv[3] ?? 3); console.log(`开始调用 DeepSearchAgent，查询="${query}"，top_k=${topK}`); const start = Date.now(); try { const result = await agent.search(query, { top_k: topK }); const duration = ((Date.now() - start) / 1000).toFixed(2); console.log(`调用成功，耗时 ${duration}s，命中条数：${result.items.length}`); result.items.forEach((item, index) => { console.log(`\n[${index + 1}] ${item.title}`); console.log(` URL: ${item.url}`); console.log(` Score: ${item.score}`); console.log(` Snippet: ${item.snippet}`); }); console.log(`\nmetadata:`, result.metadata); console.log(`usage:`, result.usage); } catch (error) { const duration = ((Date.now() - start) / 1000).toFixed(2); console.error(`调用失败，耗时 ${duration}s`); console.error(error); if (error instanceof Error && error.cause) { console.error("cause:", error.cause); } } finally { agent.close(); } } main().catch((error) => { console.error("脚本执行异常:", error); process.exit(1); });