LLM

.gitignore

@@ -32,3 +32,4 @@ report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
 
 # Finder (MacOS) folder config
 .DS_Store
+.node-persist

bun.lock

@@ -6,10 +6,13 @@
       "dependencies": {
         "@types/cors": "^2.8.19",
         "@types/multer": "^2.0.0",
+        "@types/node-persist": "^3.1.8",
         "cors": "^2.8.5",
         "dotenv": "^17.0.0",
         "express": "^5.1.0",
         "multer": "^2.0.2",
+        "node-persist": "^4.0.4",
+        "openai": "^6.3.0",
       },
       "devDependencies": {
         "@types/bun": "latest",
@@ -42,6 +45,8 @@
 
     "@types/node": ["@types/node@24.3.0", "https://registry.npmmirror.com/@types/node/-/node-24.3.0.tgz", { "dependencies": { "undici-types": "~7.10.0" } }, "sha512-aPTXCrfwnDLj4VvXrm+UUCQjNEvJgNA8s5F1cvwQU+3KNltTOkBm1j30uNLyqqPNe7gE3KFzImYoZEfLhp4Yow=="],
 
+    "@types/node-persist": ["@types/node-persist@3.1.8", "https://registry.npmmirror.com/@types/node-persist/-/node-persist-3.1.8.tgz", { "dependencies": { "@types/node": "*" } }, "sha512-QLidg6/SadZYPrTKxtxL1A85XBoQlG40bhoMdhu6DH6+eNCMr2j+RGfFZ9I9+IY8W/PDwQonJ+iBWD62jZjMfg=="],
+
     "@types/qs": ["@types/qs@6.14.0", "", {}, "sha512-eOunJqu0K1923aExK6y8p6fsihYEn/BYuQ4g0CxAAgFc4b/ZLN4CrsRZ55srTdqoiLzU2B2evC+apEIxprEzkQ=="],
 
     "@types/range-parser": ["@types/range-parser@1.2.7", "", {}, "sha512-hKormJbkJqzQGhziax5PItDUTMAM9uE2XXQmM37dyd4hVM+5aVl7oVxMVUiVQn2oCQFN/LKCZdvSM0pFRqbSmQ=="],
@@ -154,6 +159,8 @@
 
     "negotiator": ["negotiator@1.0.0", "", {}, "sha512-8Ofs/AUQh8MaEcrlq5xOX0CQ9ypTF5dl78mjlMNfOK08fzpgTHQRQPBxcPlEtIw0yRpws+Zo/3r+5WRby7u3Gg=="],
 
+    "node-persist": ["node-persist@4.0.4", "https://registry.npmmirror.com/node-persist/-/node-persist-4.0.4.tgz", { "dependencies": { "p-limit": "^3.1.0" } }, "sha512-8sPAz/7tw1mCCc8xBG4f0wi+flHkSSgQeX998iQ75Pu27evA6UUWCjSE7xnrYTg2q33oU5leJ061EKPDv6BocQ=="],
+
     "object-assign": ["object-assign@4.1.1", "https://registry.npmmirror.com/object-assign/-/object-assign-4.1.1.tgz", {}, "sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg=="],
 
     "object-inspect": ["object-inspect@1.13.4", "", {}, "sha512-W67iLl4J2EXEGTbfeHCffrjDfitvLANg0UlX3wFUUSTx92KXRFegMHUVgSqE+wvhAbi4WqjGg9czysTV2Epbew=="],
@@ -162,6 +169,10 @@
 
     "once": ["once@1.4.0", "", { "dependencies": { "wrappy": "1" } }, "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w=="],
 
+    "openai": ["openai@6.3.0", "https://registry.npmmirror.com/openai/-/openai-6.3.0.tgz", { "peerDependencies": { "ws": "^8.18.0", "zod": "^3.25 || ^4.0" }, "optionalPeers": ["ws", "zod"], "bin": { "openai": "bin/cli" } }, "sha512-E6vOGtZvdcb4yXQ5jXvDlUG599OhIkb/GjBLZXS+qk0HF+PJReIldEc9hM8Ft81vn+N6dRdFRb7BZNK8bbvXrw=="],
+
+    "p-limit": ["p-limit@3.1.0", "https://registry.npmmirror.com/p-limit/-/p-limit-3.1.0.tgz", { "dependencies": { "yocto-queue": "^0.1.0" } }, "sha512-TYOanM3wGwNGsZN2cVTYPArw454xnXj5qmWF1bEoAc4+cU/ol7GVh7odevjp1FNHduHc3KZMcFduxU5Xc6uJRQ=="],
+
     "parseurl": ["parseurl@1.3.3", "", {}, "sha512-CiyeOxFT/JZyN5m0z9PfXw4SCBJ6Sygz1Dpl0wqjlhDEGGBP1GnsUVEL0p63hoG1fcj3fHynXi9NYO4nWOL+qQ=="],
 
     "path-to-regexp": ["path-to-regexp@8.2.0", "", {}, "sha512-TdrF7fW9Rphjq4RjrW0Kp2AW0Ahwu9sRGTkS6bvDi0SCwZlEZYmcfDbEsTz8RVk0EHIS/Vd1bv3JhG+1xZuAyQ=="],
@@ -226,6 +237,8 @@
 
     "xtend": ["xtend@4.0.2", "https://registry.npmmirror.com/xtend/-/xtend-4.0.2.tgz", {}, "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ=="],
 
+    "yocto-queue": ["yocto-queue@0.1.0", "https://registry.npmmirror.com/yocto-queue/-/yocto-queue-0.1.0.tgz", {}, "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q=="],
+
     "@types/body-parser/@types/node": ["@types/node@24.0.4", "", { "dependencies": { "undici-types": "~7.8.0" } }, "sha512-ulyqAkrhnuNq9pB76DRBTkcS6YsmDALy6Ua63V8OhrOBgbcYt6IOdzpw5P1+dyRIyMerzLkeYWBeOXPpA9GMAA=="],
 
     "@types/connect/@types/node": ["@types/node@24.0.4", "", { "dependencies": { "undici-types": "~7.8.0" } }, "sha512-ulyqAkrhnuNq9pB76DRBTkcS6YsmDALy6Ua63V8OhrOBgbcYt6IOdzpw5P1+dyRIyMerzLkeYWBeOXPpA9GMAA=="],

index.ts

@@ -5,6 +5,8 @@ import path from 'path';
 import cors from "cors";
 import multer from "multer";
 import * as douyin from './douyin'
+import { sendMediaMsg, sendMsg } from './lib/qq';
+import * as llm from './llm'
 
 const app = express();
 const PORT = process.env.PORT || 6100;
@@ -21,10 +23,10 @@ app.use(express.urlencoded({ extended: true, limit: '10mb', type: ['application/
 app.post('/', async (req: Request, res: Response) => {
   // 检查是否是消息类型的请求
   if (!req.body || req.body.post_type != 'message') return
-  const { target_id, raw_message, message_type, user_id } = req.body;
+  const { target_id, raw_message, message_type } = req.body as { target_id: string, raw_message: string, message_type: string, user_id: string };
 
   console.log(`\n[QQ机器人] 收到${message_type}消息`);
-  console.log(`发送者ID: ${user_id || target_id}`);
+  console.log(`发送者ID: ${target_id}`);
   console.log(`消息内容: ${raw_message}`);
 
   // Match Douyin URL
@@ -40,7 +42,16 @@ app.post('/', async (req: Request, res: Response) => {
       sendMsg(`[抖音链接检测] 发现抖音链接: ${douyinUrl}，启动 Chromium 中...`, target_id);
 
       douyin.downloadDouyinMedia(douyinUrl, target_id);
+      return
     }
+    if (raw_message.startsWith('/reset')) {
+      llm.resetChat(target_id)
+      return
+    }
+
+    // 使用 LLM 回答
+    llm.chat(raw_message, target_id);
+
   } catch (error) {
     console.error(`[错误] 处理消息时发生错误:`, error);
 
@@ -75,19 +86,15 @@ const storage = multer.diskStorage({
 });
 const upload = multer({
   storage,
-  // 限制：单文件最大 1GB、最多 50 个字段（可按需调整）
   limits: { fileSize: 1024 * 1024 * 1024, fields: 50, files: 50 },
   fileFilter: (_req, file, cb) => {
-    // 只接受字段名以 file_ 开头的文件，其他拒绝
     if (/^file_\d+$/i.test(file.fieldname)) cb(null, true);
     else cb(new Error(`Unexpected file field: ${file.fieldname}`));
   }
 });
 
 app.post("/upload", upload.any(), (req, res) => {
-  // 1) 取出文件：multer.any() 把所有文件放在 req.files
   const files = (req.files as Express.Multer.File[]) || [];
-  // 只保留我们关心的 file_*
   const accepted = files.filter(f => /^file_\d+$/i.test(f.fieldname));
 
   let meta = {
@@ -96,7 +103,6 @@ app.post("/upload", upload.any(), (req, res) => {
     target_id: req.query.target_id
   };
 
-  console.log(meta);
   console.log(`收到上传: ${accepted.length} 个文件`, files.map(f => f.path));
 
   if (meta.target_id) {
@@ -109,57 +115,6 @@ app.post("/upload", upload.any(), (req, res) => {
   res.json({ ok: true, files: accepted.length, meta });
 });
 
-function sendMsg(msg: string, target_id: string) {
-  const replyMessage = {
-    user_id: String(target_id),
-    message: [
-      {
-        type: "text",
-        data: {
-          text: msg
-        }
-      }
-    ]
-  }
-
-  const replyUrl = `http://localhost:30000/send_private_msg`;
-
-  console.log(`[发送消息] ${msg} -> ${target_id}`);
-
-  return fetch(replyUrl, {
-    method: 'POST',
-    headers: {
-      'Content-Type': 'application/json',
-    },
-    body: JSON.stringify(replyMessage)
-  });
-}
-
-function sendMediaMsg(filePath: string, target_id: string, type: 'video' | 'image') {
-  const mediaMessage = {
-    user_id: String(target_id),
-    message: [
-      {
-        type: type,
-        data: {
-          file: `file://${filePath}`
-        }
-      }
-    ]
-  }
-
-  const replyUrl = `http://localhost:30000/send_private_msg`;
-
-  console.log(`[发送媒体消息] ${type} - ${filePath} -> ${target_id}`);
-
-  return fetch(replyUrl, {
-    method: 'POST',
-    headers: {
-      'Content-Type': 'application/json',
-    },
-    body: JSON.stringify(mediaMessage)
-  });
-}
 
 app.use((error: any, req: Request, res: Response, next: NextFunction) => {
   const timestamp = new Date().toISOString();
@@ -175,5 +130,4 @@ app.use((error: any, req: Request, res: Response, next: NextFunction) => {
 // 启动服务器
 app.listen(PORT, () => {
   console.log(`Server is running on http://localhost:${PORT}`);
-  console.log(`With env:`, { DOWNLOAD_DIR: process.env.DOWNLOAD_DIR, PORT: process.env.PORT });
 });

lib/qq.ts

@@ -0,0 +1,54 @@
+
+function sendMsg(msg: string, target_id: string) {
+    const replyMessage = {
+        user_id: String(target_id),
+        message: [
+            {
+                type: "text",
+                data: {
+                    text: msg
+                }
+            }
+        ]
+    }
+
+    const replyUrl = `http://localhost:30000/send_private_msg`;
+
+    console.log(`[发送消息] ${msg} -> ${target_id}`);
+
+    return fetch(replyUrl, {
+        method: 'POST',
+        headers: {
+            'Content-Type': 'application/json',
+        },
+        body: JSON.stringify(replyMessage)
+    });
+}
+
+function sendMediaMsg(filePath: string, target_id: string, type: 'video' | 'image') {
+    const mediaMessage = {
+        user_id: String(target_id),
+        message: [
+            {
+                type: type,
+                data: {
+                    file: `file://${filePath}`
+                }
+            }
+        ]
+    }
+
+    const replyUrl = `http://localhost:30000/send_private_msg`;
+
+    console.log(`[发送媒体消息] ${type} - ${filePath} -> ${target_id}`);
+
+    return fetch(replyUrl, {
+        method: 'POST',
+        headers: {
+            'Content-Type': 'application/json',
+        },
+        body: JSON.stringify(mediaMessage)
+    });
+}
+
+export { sendMsg, sendMediaMsg }

llm/index.ts

@@ -0,0 +1,108 @@
+import OpenAI from "openai";
+import storage from 'node-persist'
+import { sendMsg } from "../lib/qq";
+import prompt from './prompt.txt'
+
+await storage.init();
+storage.clear();
+
+const client = new OpenAI({
+    baseURL: process.env.OPENAI_BASE_URL,
+    apiKey: process.env.OPENAI_API_KEY,
+    // logLevel: "debug"
+})
+
+const tools = [{
+    type: "function" as const,
+    name: "send_msg",
+    description: "Send a message to the user. Always use this to respond to the user.",
+    parameters: {
+        type: "object",
+        properties: {
+            text: { type: "string", description: "The message content sent to the user through QQ." }
+        },
+        required: ["text"],
+        additionalProperties: false
+    },
+    strict: true
+}]
+
+/**
+ * 
+ * @param input 提问
+ * @param target_id 用户 QQ 号
+ */
+export async function chat(input: string, target_id: string) {
+    const chatHistoryKey = `chat_history_${target_id}`;
+    let chatHistory: OpenAI.Responses.ResponseInput = await storage.getItem(chatHistoryKey) || [];
+
+    // 添加新输入到对话历史
+    chatHistory.push({ role: "user", content: input });
+
+    // 保存更新后的对话历史
+    console.log(`[LLM] 使用对话, 历史：`, chatHistory);
+
+    await storage.setItem(chatHistoryKey, chatHistory);
+
+    const response = await client.responses.create({
+        model: process.env.CHAT_MODEL || "gpt-5-nano",
+        instructions: prompt,
+        reasoning: { effort: 'minimal' },
+        input: chatHistory,
+        tools
+    });
+
+    await storage.setItem(chatHistoryKey, chatHistory);
+
+    // 继续调用工具，直到没有工具调用为止
+
+    await toolUseCycle(response.output);
+
+    async function toolUseCycle(outputArr: OpenAI.Responses.ResponseOutputItem[]) {
+        chatHistory.push(...outputArr);
+        const functionCalls = (outputArr ?? []).filter(item => item.type === 'function_call');
+        console.log("进入 toolUseCycle, with functionCalls", functionCalls.length, "个");
+        console.log(JSON.stringify(chatHistory, null, 2));
+
+        if (functionCalls.length == 0) {
+            let lastMessage = outputArr.at(-1);
+            if (!lastMessage) return
+            if (lastMessage.type != 'message') return
+            if (lastMessage.role != 'assistant') return
+
+            const msg = lastMessage.content.map(c => c.type == 'output_text' ? c.text : '').join('');
+            if (msg.trim().length > 0) {
+                // 结束，发送最后的消息
+                sendMsg(msg, target_id);
+            }
+            return
+        }
+        for (const item of functionCalls ?? []) {
+            if (item.name === "send_msg") {
+                console.log(item.arguments);
+
+                const { text } = JSON.parse(item.arguments);
+                sendMsg(text, target_id);
+
+                chatHistory.push({ type: "function_call_output", call_id: item.call_id, output: "OK" });
+            }
+        }
+        await storage.setItem(chatHistoryKey, chatHistory);
+
+        const response = await client.responses.create({
+            model: process.env.CHAT_MODEL || "gpt-5-nano",
+            instructions: prompt,
+            reasoning: { effort: 'minimal' },
+            input: chatHistory,
+            tools
+        });
+
+        toolUseCycle(response.output);
+    }
+}
+
+export async function resetChat(target_id: string) {
+    const chatHistoryKey = `chat_history_${target_id}`;
+    await storage.removeItem(chatHistoryKey);
+    sendMsg("已为你重置对话历史。", target_id);
+}

llm/prompt.txt

@@ -0,0 +1,21 @@
+# Role  
+You are a “humorous, gentle, yet professional” Chinese chat and knowledge assistant working in a QQ-like instant messaging environment.  
+
+# Goals  
+1) Engage in natural casual chat;  
+2) Provide accurate answers;  
+3) Explain complex topics clearly over multiple turns.  
+
+# Style  
+- Friendly but not cheesy; witty but not snarky; professional but not stiff.  
+- Use short sentences and bullet points; send 1–3 sentences per message.  
+- Use one emoji appropriately; avoid excessive emoji or long paragraphs.  
+
+# Tool Rules (Important)  
+- **Never** output text directly in the assistant channel. All user-visible content **must** be sent via `tools.send_msg`.  
+- Each message must not exceed 50 characters. If it’s longer, split it into multiple `tools.send_msg` messages to simulate natural chat flow.  
+- Keep lists/code snippets short; if long, split them into multiple messages.  
+
+# Clarification  
+- If a user’s question is **unclear / ambiguous / missing details**, **immediately ask for clarification** and provide **specific options**.  
+- After asking, briefly explain **why** that information is needed.

package.json

@@ -18,9 +18,12 @@
   "dependencies": {
     "@types/cors": "^2.8.19",
     "@types/multer": "^2.0.0",
+    "@types/node-persist": "^3.1.8",
     "cors": "^2.8.5",
     "dotenv": "^17.0.0",
     "express": "^5.1.0",
-    "multer": "^2.0.2"
+    "multer": "^2.0.2",
+    "node-persist": "^4.0.4",
+    "openai": "^6.3.0"
   }
 }