update

.gitignore

@@ -15,3 +15,5 @@ logs
 
 .env*
 !.env.example
+
+.turbo

package.json

@@ -18,6 +18,7 @@
     "build": "rimraf dist && bun run bun.config.mjs",
     "test": "tsx  test/**/*.ts",
     "clean": "rm -rf dist",
+    "turbo:build": "turbo run build",
     "pub": "npm run build && envision pack -p -u",
     "cmd": "tsx cmd/index.ts "
   },
@@ -34,7 +35,7 @@
     "access": "public"
   },
   "dependencies": {
-    "@kevisual/ai": "^0.0.6",
+    "@kevisual/ai": "^0.0.8",
     "@kevisual/code-center-module": "0.0.23",
     "@kevisual/context": "^0.0.3",
     "@kevisual/router": "0.0.23",
@@ -47,6 +48,7 @@
   },
   "devDependencies": {
     "@kevisual/app-assistant": "workspace:*",
+    "@kevisual/logger": "^0.0.4",
     "@kevisual/social-prompts": "workspace:*",
     "@kevisual/types": "^0.0.10",
     "@kevisual/use-config": "^1.0.19",
@@ -56,7 +58,7 @@
     "@types/formidable": "^3.4.5",
     "@types/lodash-es": "^4.17.12",
     "@types/node": "^24.0.3",
-    "bullmq": "^5.54.3",
+    "bullmq": "^5.55.0",
     "commander": "^14.0.0",
     "concurrently": "^9.1.2",
     "cross-env": "^7.0.3",
@@ -64,6 +66,7 @@
     "inquire": "^0.4.8",
     "ioredis": "^5.6.1",
     "nodemon": "^3.1.10",
+    "openai": "^5.6.0",
     "pg": "^8.16.2",
     "rimraf": "^6.0.1",
     "sequelize": "^6.37.7",

packages/xhs/package.json

@@ -6,7 +6,7 @@
   "types": "app.d.ts",
   "scripts": {
     "build": "bun run bun.config.mjs",
-    "postbuild": "dts -i src/index.ts -o app.d.ts",
+    "postbuild2": "dts -i src/index.ts -o app.d.ts",
     "cmd": "tsx src/test/command.ts ",
     "dts": "dts -i src/index.js -o app.d.ts"
   },

packages/xhs/src/routes/mentions/mention.ts

@@ -75,17 +75,31 @@ app
   .define(async (ctx) => {
     const { note_id, comment_id, content } = ctx.query;
     const client = xhsServices.getClient();
-    const res = await client.postComment({
-      note_id: note_id,
-      comment_id: comment_id,
-      content,
-    });
-    if (res.code === 0) {
-      ctx.body = res.data;
+    // content 300个字内，超过cai fen
+    const textArr: string[] = [];
+    if (content.length > 300) {
+      const num = Math.ceil(content.length / 300);
+      for (let i = 0; i < num; i++) {
+        textArr.push(content.slice(i * 300, (i + 1) * 300));
+      }
     } else {
-      console.log('添加评论失败', res.code);
-      ctx.throw(res.code, '添加评论失败');
+      textArr.push(content);
     }
+    const resArr: any[] = [];
+    for (const text of textArr) {
+      const res = await client.postComment({
+        note_id: note_id,
+        comment_id: comment_id,
+        content: text,
+      });
+      if (res.code === 0) {
+        resArr.push(res.data);
+      } else {
+        console.log('添加评论失败', res.code);
+        ctx.throw(res.code, '添加评论失败');
+      }
+    }
+    ctx.body = resArr;
   })
   .addTo(app);
 app

pnpm-lock.yaml

@@ -9,8 +9,8 @@ importers:
   .:
     dependencies:
       '@kevisual/ai':
-        specifier: ^0.0.6
-        version: 0.0.6
+        specifier: ^0.0.8
+        version: 0.0.8
       '@kevisual/code-center-module':
         specifier: 0.0.23
         version: 0.0.23(dotenv@16.5.0)
@@ -42,6 +42,9 @@ importers:
       '@kevisual/app-assistant':
         specifier: workspace:*
         version: link:packages/app-assistant
+      '@kevisual/logger':
+        specifier: ^0.0.4
+        version: 0.0.4
       '@kevisual/social-prompts':
         specifier: workspace:*
         version: link:packages/social-prompts
@@ -67,8 +70,8 @@ importers:
         specifier: ^24.0.3
         version: 24.0.3
       bullmq:
-        specifier: ^5.54.3
-        version: 5.54.3
+        specifier: ^5.55.0
+        version: 5.55.0
       commander:
         specifier: ^14.0.0
         version: 14.0.0
@@ -90,6 +93,9 @@ importers:
       nodemon:
         specifier: ^3.1.10
         version: 3.1.10
+      openai:
+        specifier: ^5.6.0
+        version: 5.6.0(ws@8.18.1)(zod@3.25.67)
       pg:
         specifier: ^8.16.2
         version: 8.16.2
@@ -215,8 +221,8 @@ packages:
   '@jridgewell/sourcemap-codec@1.5.0':
     resolution: {integrity: sha512-gv3ZRaISU3fjPAgNsriBRqGWQL6quFx04YMPW/zD8XMLsU32mhCCbfbO6KZFLjvYpCZ8zyDEgqsgf+PwPaM7GQ==}
 
-  '@kevisual/ai@0.0.6':
-    resolution: {integrity: sha512-khTCGsDMjGL9VN8ZB2HzEPUXcSTHu1fHXKBRmyojxy9gt+lMCx7JFgqLKiENkekOUwS2Xg6Fe5jwQDNJRwGwDA==}
+  '@kevisual/ai@0.0.8':
+    resolution: {integrity: sha512-MvK4U1iWf8hz7lj/+YBQV3qWRRDy42VH8fInKFVxjpEGPGaxfXOMP73C85T4Cf82OGU/fxOayiR0xLi2SyBTLw==}
 
   '@kevisual/auth@1.0.5':
     resolution: {integrity: sha512-GwsLj7unKXi7lmMiIIgdig4LwwLiDJnOy15HHZR5gMbyK6s5/uJiMY5RXPB2+onGzTNDqFo/hXjsD2wkerHPVg==}
@@ -574,8 +580,8 @@ packages:
   bullmq@5.51.1:
     resolution: {integrity: sha512-JEZokH5Sb6p66HRjbfQjPNYuSilDRcB8UREmJzOBqTTaJFza8I92vsBF3J/zmtzd7KVv3dxhZyH9CYSLOJALRA==}
 
-  bullmq@5.54.3:
-    resolution: {integrity: sha512-MVK2pOkB3hvrIcubwI8dS4qWHJLNKakKPpgRBTw91sIpPZArmvZ4t2hvryyEaJXJbAS/JHd6pKYOUd+RGRkWQQ==}
+  bullmq@5.55.0:
+    resolution: {integrity: sha512-LKaQZroyXBYSQd/SNP9EcmCZgiZjIImtQHBlnupUvhX1GmmJfIXjn0bf8lek3bvajMUbvVf8FrYdFD0ajAuy0g==}
 
   bun-types@1.2.16:
     resolution: {integrity: sha512-ciXLrHV4PXax9vHvUrkvun9VPVGOVwbbbBF/Ev1cXz12lyEZMoJpIJABOfPcN9gDJRaiKF9MVbSygLg4NXu3/A==}
@@ -1458,6 +1464,18 @@ packages:
   once@1.4.0:
     resolution: {integrity: sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w==}
 
+  openai@5.6.0:
+    resolution: {integrity: sha512-jNH5z+hYAdOMZXyEt0yZ7246s+UZjg2AwFQqkAhZIPPjxNtHHO5mykOefau6FkOqj16aC94MOdJl/rZBcKj/cQ==}
+    hasBin: true
+    peerDependencies:
+      ws: ^8.18.0
+      zod: ^3.23.8
+    peerDependenciesMeta:
+      ws:
+        optional: true
+      zod:
+        optional: true
+
   own-keys@1.0.1:
     resolution: {integrity: sha512-qFOyK5PjiWZd+QQIh+1jhdb9LpxTF0qs7Pm8o5QHYZ0M3vKqSqzsZaEB6oWlxZ+q2sJBMI/Ktgd2N5ZwQoRHfg==}
     engines: {node: '>= 0.4'}
@@ -2182,7 +2200,7 @@ snapshots:
 
   '@jridgewell/sourcemap-codec@1.5.0': {}
 
-  '@kevisual/ai@0.0.6':
+  '@kevisual/ai@0.0.8':
     dependencies:
       '@kevisual/logger': 0.0.4
 
@@ -2550,7 +2568,7 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  bullmq@5.54.3:
+  bullmq@5.55.0:
     dependencies:
       cron-parser: 4.9.0
       ioredis: 5.6.1
@@ -3629,6 +3647,11 @@ snapshots:
     dependencies:
       wrappy: 1.0.2
 
+  openai@5.6.0(ws@8.18.1)(zod@3.25.67):
+    optionalDependencies:
+      ws: 8.18.1
+      zod: 3.25.67
+
   own-keys@1.0.1:
     dependencies:
       get-intrinsic: 1.2.7

src/agent/agent.ts

@@ -0,0 +1,3 @@
+import { QueryRouterServer } from '@kevisual/router';
+
+export const agent = new QueryRouterServer();

src/agent/ai.ts

@@ -0,0 +1,16 @@
+import { SiliconFlowProvider } from '@kevisual/ai';
+import { config } from '../modules/config.ts';
+
+export const ai = new SiliconFlowProvider({
+  model: 'Qwen/Qwen3-32B',
+  // model: 'Pro/deepseek-ai/DeepSeek-R1',// 只有充值能用
+  apiKey: config.SILICONFLOW_API_KEY,
+});
+
+ai.getUsageInfo()
+  .then((usage) => {
+    console.log('AI usage info:', usage);
+  })
+  .catch((res) => {
+    console.error('Error fetching AI usage info:', res.status);
+  });

src/agent/analyze/content.ts

@@ -0,0 +1,95 @@
+import { agent } from '@/agent/agent.ts';
+import { ai } from '../ai.ts';
+import { logger } from '@/agent/logger.ts';
+const getJsonFromString = (str: string) => {
+  // 尝试从字符串中提取JSON对象
+  try {
+    const jsonMatch = str.match(/```json\s*([\s\S]*?)\s*```/);
+    if (jsonMatch && jsonMatch[1]) {
+      return JSON.parse(jsonMatch[1]);
+    }
+  } catch (error) {
+    console.error('Error parsing JSON from string:', error);
+  }
+  return null;
+};
+agent
+  .route({
+    path: 'analyze',
+    key: 'content',
+    description: '分析文本内容,意图分析，判断是否需要获取上下文包函小红书的图片，视频，文本。',
+  })
+  .define(async (ctx) => {
+    const text = ctx.query?.text || '';
+
+    let result = {
+      image: false,
+      video: false,
+      text: false,
+      comment: false,
+    };
+
+    const prompt = `
+请分析<context>包函的内容，判断是否需要包含小红书的图片、视频或文本信息，返回一个JSON对象，包含三个布尔值：image（是否包含图片）、video（是否包含视频）、text（是否包含小红书文本），comment（是否是评论信息）。
+如果文本中提到图片或视频，请返回true，否则返回false。
+
+文本示例：
+1. "解答一下这个笔记。" , text为true
+2. "分析一下这个图片。", image为true
+3. "这个视频介绍的是什么。", video为true
+4. "评价一下这个评论。", comment为true
+
+返回内容示例：
+\`\`\`json
+{
+  "image": true,
+  "video": false,
+  "text": true,
+  "comment": false
+}
+\`\`\`
+分析的文本的内容是:
+    <context>
+${text}
+</context>
+    `;
+    const now = Date.now();
+    console.log('start');
+    const res = await ai
+      .chat(
+        [
+          {
+            role: 'user',
+            content: prompt,
+          },
+        ],
+        {
+          // @ts-ignore
+          enable_thinking: false,
+        },
+      )
+      .catch((err) => {
+        console.log('AI service error:', err.status);
+        ctx.throw(500, 'AI service error: ' + err.status);
+        return err;
+      });
+
+    console.log('end', Date.now() - now, 'ms');
+    const ans = res.choices[0]?.message?.content || '';
+    if (!ans) {
+      logger.error('Empty response from AI:', res);
+    }
+    const json = getJsonFromString(ans);
+    if (!json) {
+      logger.error('Invalid JSON format in response:', ans);
+      ctx.throw(400, 'Invalid JSON format in response');
+    }
+    result = {
+      image: json.image || false,
+      video: json.video || false,
+      text: json.text || false,
+      comment: json.comment || false,
+    };
+    ctx.body = result;
+  })
+  .addTo(agent);

src/agent/fix/prompt.ts

@@ -0,0 +1,64 @@
+import { agent } from '@/agent/agent.ts';
+import { ai } from '../ai.ts';
+import { logger } from '@/agent/logger.ts';
+
+const getTagContent = (text: string) => {
+  const match = text.match(/<content>([\s\S]*?)<\/content>/);
+  return match ? match[1].trim() : text;
+};
+agent
+  .route({
+    path: 'fix',
+    key: 'xhs',
+    description: '对小红书的提示词进行修正和优化',
+  })
+  .define(async (ctx) => {
+    const text = ctx.query?.text || '';
+    const now = Date.now();
+    console.log('start');
+    const res = await ai
+      .chat(
+        [
+          {
+            role: 'user',
+            content: `
+你是一个提示词优化的专家，请根据用户提供的提示词进行修正和优化，其中用户的提示词返回的要求如果没有或者不明确，请你都修正为要求返回的文本在500字以内，且内容是纯文本格式，不能是markdown模式，也不包含任何HTML标签或其他格式化内容。
+
+只对提示词进行优化，并且不需要对内容进行分析或总结。
+
+示例1. 用户提示词
+<content>总结笔记</content>
+优化后的提示词
+<content>请总结一下这个笔记，要求返回的内容是纯文本格式，字数不超过500字。</content>
+示例2. 用户提示词
+<content>分析一下这个图片</content>
+优化后的提示词
+<content>请分析一下这个图片，要求返回的内容是纯文本格式，字数不超过500字。</content>
+
+
+用户的提示词是
+<content>
+${text}
+</content>
+`,
+          },
+        ],
+        {
+          // @ts-ignore
+          enable_thinking: false,
+        },
+      )
+      .catch((err) => {
+        console.log('AI service error:', err.status);
+        ctx.throw(500, 'AI service error: ' + err.status);
+        return err;
+      });
+
+    console.log('end', Date.now() - now, 'ms');
+    const ans = res.choices[0]?.message?.content || '';
+    if (!ans) {
+      logger.error('Empty response from AI:', res);
+    }
+    ctx.body = getTagContent(ans)
+  })
+  .addTo(agent);

src/agent/index.ts

@@ -0,0 +1,7 @@
+import { agent } from './agent.ts';
+import './analyze/content.ts';
+import './fix/prompt.ts';
+
+import './xhs.ts';
+
+export { agent };

src/agent/logger.ts

@@ -0,0 +1,3 @@
+import { Logger } from '@kevisual/logger';
+
+export const logger = new Logger();

src/agent/test/analyze.ts

@@ -0,0 +1,19 @@
+import { agent } from '../index.ts';
+
+const main = async () => {
+  const text1 = '解答一下这个笔记。';
+  const text2 = '分析一下这个图片';
+  const text3 = '这个视频介绍的是什么';
+  const text4 = '评价一下这个评论。';
+  const text5 = '关于这个评论。';
+  const text6 = '1+1=';
+  const res = await agent.call({
+    path: 'analyze',
+    key: 'content',
+    payload: {
+      text: text6,
+    },
+  });
+  console.log('analyze content res', res.code, 'content', res.body);
+};
+main();

src/agent/test/prompt-fix.ts

@@ -0,0 +1,18 @@
+// 其中回复的要求是以纯文本，具体的内容在<content></content>当中
+import { agent } from '../index.ts';
+
+const main = async () => {
+  const text = '请总结一下这个笔记。';
+  const text2 = '告诉我1+1的值';
+  const text3 = 'html和css的大纲是什么？';
+  const text4 = '1+1=';
+  const res = await agent.call({
+    path: 'fix',
+    key: 'xhs',
+    payload: {
+      text: text4,
+    },
+  });
+  console.log('fix xhs res', res.code, 'content', res.body);
+};
+main();

src/agent/xhs.ts

@@ -0,0 +1,53 @@
+import { nanoid } from 'nanoid';
+import { agent } from './agent.ts';
+import { ai } from './ai.ts';
+/**
+ * 清除文本中的@信息
+ * @param text
+ */
+const clearAtInfo = (text: string = '') => {
+  const newText = text.replace(/@[\u4e00-\u9fa5\w]+/g, '').replace(/#.*?#/g, '');
+  return newText.trim();
+};
+agent
+  .route({
+    path: 'xhs',
+  })
+  .define(async (ctx) => {
+    const { text = '' } = ctx.query || {};
+    const id = nanoid();
+    const no_at_text = clearAtInfo(text);
+    const resFix = await agent.call({
+      path: 'fix',
+      key: 'xhs',
+      payload: {
+        text: no_at_text,
+      },
+    });
+    if (resFix.code !== 200) {
+      ctx.throw(500, 'AI 小红书prompt优化错误: ' + resFix.message);
+      return;
+    } else {
+      console.log('小红书优化的文本', resFix.body);
+    }
+    const prompt_text = resFix.body || '';
+    const res = await ai
+      .chat(
+        [
+          {
+            role: 'user',
+            content: prompt_text,
+          },
+        ],
+        {
+          // @ts-ignore
+          enable_thinking: false,
+        },
+      )
+      .catch((error) => {
+        ctx.throw(500, 'AI 服务错误: ' + error.status);
+        return error;
+      });
+    ctx.body = res.choices?.[0]?.message?.content || '';
+  })
+  .addTo(agent);

src/modules/notify.ts

@@ -0,0 +1,3 @@
+export const notify = () => {
+  //
+};

src/task/routes/mention.ts

@@ -1,3 +1,4 @@
+import { agent } from '@/agent/index.ts';
 import { taskApp, queue, xhsApp } from '../task.ts';
 import { random, omit } from 'lodash-es';
 import util from 'node:util';
@@ -10,6 +11,7 @@ taskApp
   .route({
     path: 'task',
     key: 'getUnread',
+    description: '获取未读提及消息',
   })
   .define(async (ctx) => {
     const res = await xhsApp.call({
@@ -50,6 +52,7 @@ taskApp
   .route({
     path: 'task',
     key: 'getMention',
+    description: '获取提及消息',
   })
   .define(async (ctx) => {
     const { unread_count } = ctx.query;
@@ -61,11 +64,9 @@ taskApp
           num: unread_count,
         },
       });
-      console.log('mentionRes', mentionRes.body);
       if (mentionRes.code === 200) {
         let data = mentionRes.body || [];
         // data = data.map((item) => omit(item, 'mention'));
-        console.log('queryMention', util.inspect(data, { depth: 10 }));
         for (let i = 0; i < data.length; i++) {
           const item = data[i];
           queue.add(
@@ -86,7 +87,6 @@ taskApp
               },
             },
           );
-          console.log('add mention task', item);
           await sleep(200);
         }
       }
@@ -94,9 +94,7 @@ taskApp
         path: 'mention',
         key: 'postRead',
       });
-      console.log('postRead', postRead.body);
     }
-    await sleep(1000);
     ctx.body = {
       job: unread_count,
     };
@@ -109,7 +107,7 @@ taskApp
     key: 'ai',
   })
   .define(async (ctx) => {
-    const data = ctx.query.data;
+    const data = ctx.query.data; // 为提及的相关信息
     const note_id = data.note_id;
     const xsec_token = data.xsec_token;
     const comment_id = data.comment.comment_id;
@@ -119,6 +117,21 @@ taskApp
       content,
       comment_id,
     };
+    const resAgent = await agent.call({
+      path: 'xhs',
+      payload: {
+        text: content,
+      },
+    });
+    let responseText = '';
+    let errorText = '';
+    if (resAgent.code !== 200) {
+      errorText = '【调用错误】';
+      responseText = `${resAgent.message}`;
+    } else {
+      responseText = resAgent.body;
+    }
+    postData.content = responseText;
     const res = await xhsApp.call({
       path: 'mention',
       key: 'addComment',

turbo.json

@@ -0,0 +1,22 @@
+{
+  "$schema": "https://turbo.build/schema.json",
+  "tasks": {
+    "build": {
+      "dependsOn": [
+        "^build"
+      ],
+      "outputs": [
+        "dist/**"
+      ]
+    },
+    "dev:lib": {
+      "persistent": true,
+      "cache": true
+    },
+    "build:lib": {
+      "dependsOn": [
+        "^build:lib"
+      ]
+    }
+  }
+}