2 lines
33 KiB
JSON
2 lines
33 KiB
JSON
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[{"id":84,"url":"http://101.43.95.130:3001/api/v1/repos/admin/aiagent/issues/66","html_url":"http://101.43.95.130:3001/admin/aiagent/issues/66","number":66,"user":{"id":1,"login":"admin","login_name":"","source_id":0,"full_name":"","email":"263303411@qq.com","avatar_url":"http://101.43.95.130:3001/avatars/9f89f41683d9730fc0abe566f120891a","html_url":"http://101.43.95.130:3001/admin","language":"zh-CN","is_admin":true,"last_login":"2026-04-30T00:13:32+08:00","created":"2025-12-19T11:20:47+08:00","restricted":false,"active":true,"prohibit_login":false,"location":"","website":"","description":"","visibility":"public","followers_count":0,"following_count":0,"starred_repos_count":0,"username":"admin"},"original_author":"","original_author_id":0,"title":"[知识进化] 知识进化仪表盘 — 知识图谱/进化历史/效果度量","body":"## 目标\n前端页面：可视化展示知识自进化的全过程，让用户看到平台在变聪明。\n\n## 页面模块\n\n### 1. 知识增长曲线\n- 知识条目数量随时间增长\n- 按类别分布（bug_fix/best_practice/optimization）\n- 知识被检索次数排行\n\n### 2. 进化历史时间线\n- 展示每次自动优化：瓶颈发现 → 优化方案 → 应用 → 效果对比\n- 展示每次策略调整：反馈触发 → 策略更新 → 下次准确率\n\n### 3. 效果度量\n- Agent 成功率趋势（进化前 vs 进化后）\n- 平均响应时间趋势\n- 用户满意度趋势\n- 知识复用率\n\n### 4. 知识图谱\n- D3/vis.js 可视化知识之间的关系\n- 节点：知识条目，边：引用/相似/演化关系\n\n## 新增文件\n- frontend/src/views/KnowledgeEvolution.vue\n- frontend/src/stores/knowledge.ts\n- 路由：/knowledge-evolution","ref":"","assets":[],"labels":[],"milestone":null,"assignee":null,"assignees":null,"state":"open","is_locked":false,"comments":0,"created_at":"2026-05-10T15:32:20+08:00","updated_at":"2026-05-10T15:32:20+08:00","closed_at":null,"due_date":null,"time_estimate":0,"pull_request":null,"repository":{"id":27,"name":"aiagent","owner":"admin","full_name":"admin/aiagent"},"pin_order":0},{"id":83,"url":"http://101.43.95.130:3001/api/v1/repos/admin/aiagent/issues/65","html_url":"http://101.43.95.130:3001/admin/aiagent/issues/65","number":65,"user":{"id":1,"login":"admin","login_name":"","source_id":0,"full_name":"","email":"263303411@qq.com","avatar_url":"http://101.43.95.130:3001/avatars/9f89f41683d9730fc0abe566f120891a","html_url":"http://101.43.95.130:3001/admin","language":"zh-CN","is_admin":true,"last_login":"2026-04-30T00:13:32+08:00","created":"2025-12-19T11:20:47+08:00","restricted":false,"active":true,"prohibit_login":false,"location":"","website":"","description":"","visibility":"public","followers_count":0,"following_count":0,"starred_repos_count":0,"username":"admin"},"original_author":"","original_author_id":0,"title":"[知识进化] 新工具自动发现与集成 — 监控市场，自动学习接入","body":"## 目标\n当平台新增工具或外部工具市场发布新工具时，系统自动发现、评估、集成。\n\n## 发现渠道\n- 平台内：工具市场上新（已有 tools 表）\n- 外部：GitHub trending / MCP 工具市场 / API 发布\n- 用户请求：\"能不能接一个XX工具\"（计入需求池）\n\n## 自动评估\n- 读取工具描述/API 文档\n- LLM 分析：这个工具能解决平台当前哪些痛点？\n- 匹配度评分（结合平台现有 Agent/工作流场景）\n- 生成集成方案（需要的 adapter、参数映射）\n\n## 自动集成\n- 匹配度 \u003e 80%：自动生成 tool adapter 代码\n- 生成测试用例\n- 注册为 builtin tool\n- 通知管理员确认后上线\n\n## 新增文件\n- backend/app/services/tool_discovery.py\n- backend/app/tools/auto_adapter.py\n- Celery 定时：每6小时扫描一次","ref":"","assets":[],"labels":[],"milestone":null,"assignee":null,"assignees":null,"state":"open","is_locked":false,"comments":0,"created_at":"2026-05-10T15:32:20+08:00","updated_at":"2026-05-10T15:32:20+08:00","closed_at":null,"due_date":null,"time_estimate":0
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