feat: move enable_thinking control from docker-compose to request body (#21)
* add page number * feat: add skill feature memory 添加 skill 功能的 feature memory，记录技能包管理服务和 Hook 系统的核心信息。 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * feat(skill): add feature memory with changelog and decisions 添加 skill 功能的完整记忆文档： Changelog: - 2025-Q4: 初始实现 (GRPC 层 + 内置 skills) - 2026-Q1: API 完善 (REST API + Hook 系统) Design Decisions: - 001: Skill 架构设计 (目录结构、Hook 系统) - 002: 上传安全措施 (ZipSlip、路径遍历防护) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * soffice sharp 支持 * shell_env support * feat: move enable_thinking control from docker-compose to request body Remove DEFAULT_THINKING_ENABLE environment variable from docker-compose and settings.py. The enable_thinking flag is now solely controlled via request body (default: false), as felo-mygpt already passes this config from RobotConfig database. Closes sparticleinc/felo-mygpt#2473 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: 朱潮 <zhuchaowe@users.noreply.github.com> Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> Co-authored-by: zhuchao <zhuchaowe@163.com>
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121
.features/skill/MEMORY.md
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121
.features/skill/MEMORY.md
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# Skill 功能
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> 负责范围：技能包管理服务 - 核心实现
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> 最后更新：2025-02-11
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## 当前状态
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Skill 系统支持两种来源：官方 skills (`./skills/`) 和用户 skills (`projects/uploads/{bot_id}/skills/`)。支持 Hook 系统和 MCP 服务器配置，通过 SKILL.md 或 plugin.json 定义元数据。
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## 核心文件
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- `routes/skill_manager.py` - Skill 上传/删除/列表 API
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- `agent/plugin_hook_loader.py` - Hook 系统实现
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- `agent/deep_assistant.py` - `CustomSkillsMiddleware`
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- `agent/prompt_loader.py` - PrePrompt hooks + MCP 配置合并
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- `skills/` - 官方 skills 目录
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- `skills_developing/` - 开发中 skills
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## 最近重要事项
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- 2025-02-11: 初始化 skill 功能 memory
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## Gotchas（开发必读）
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- ⚠️ 执行脚本必须使用绝对路径
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- ⚠️ MCP 配置优先级：Skill MCP > 默认 MCP > 用户参数
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- ⚠️ 上传大小限制：50MB（ZIP），解压后最大 500MB
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- ⚠️ 压缩比例检查：最大 100:1（防止 zip 炸弹）
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- ⚠️ 符号链接检查：禁止解压包含符号链接的文件
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## Skill 目录结构
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```
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skill-name/
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├── SKILL.md # 核心指令文档（必需）
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├── skill.yaml # 元数据配置（可选）
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├── .claude-plugin/
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│ └── plugin.json # Hook 和 MCP 配置（可选）
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└── scripts/ # 可执行脚本（可选）
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└── script.py
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```
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## Hook 系统
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| Hook 类型 | 执行时机 | 用途 |
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|-----------|---------|------|
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| `PrePrompt` | system_prompt 加载时 | 动态注入用户上下文 |
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| `PostAgent` | agent 执行后 | 处理响应结果 |
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| `PreSave` | 保存消息前 | 内容过滤/修改 |
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## API 接口
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| 端点 | 方法 | 功能 |
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|------|------|------|
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| `GET /api/v1/skill/list` | - | 返回官方 + 用户 skills |
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| `POST /api/v1/skill/upload` | - | ZIP 上传，解压到用户目录 |
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| `DELETE /api/v1/skill/remove` | - | 删除用户 skill |
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## 内置 Skills
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| Skill 名称 | 功能描述 |
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|-----------|---------|
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| `excel-analysis` | Excel 数据分析、透视表、图表 |
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| `managing-scripts` | 管理可复用脚本库 |
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| `rag-retrieve` | RAG 知识库检索 |
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| `jina-ai` | Jina AI Reader/Search |
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| `user-context-loader` | Hook 机制示例 |
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## plugin.json 格式
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```json
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{
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"name": "skill-name",
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"description": "描述",
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"hooks": {
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"PrePrompt": [{"type": "command", "command": "python hooks/pre_prompt.py"}],
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"PostAgent": [...],
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"PreSave": [...]
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},
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"mcpServers": {
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"server-name": {
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"command": "...",
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"args": [...]
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}
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}
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}
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```
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## Skill 加载优先级
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1. Skill MCP 配置（最高）
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2. 默认 MCP 配置 (`mcp/mcp_settings.json`)
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3. 用户传入参数（覆盖所有）
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## 安全措施
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- ZipSlip 防护：检查解压路径
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- 路径遍历防护：验证 `bot_id` 和 `skill_name` 格式
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- 大小限制：上传 50MB，解压后 500MB
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- 压缩比限制：最大 100:1
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## 设计原则
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- **渐进式加载**：按需加载，避免一次性读取所有
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- **绝对路径优先**：执行脚本必须使用绝对路径
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- **通用化设计**：脚本应参数化，解决一类问题
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- **安全优先**：完整的上传验证链
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## 配置项
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```bash
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SKILLS_DIR=./skills # 官方 skills 目录
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BACKEND_HOST=xxx # RAG API 主机
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MASTERKEY=xxx # 认证密钥
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```
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## 索引
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- 设计决策：`decisions/`
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- 变更历史：`changelog/`
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- 相关文档：`docs/`
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38
.features/skill/changelog/2025-Q4.md
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38
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# 2025-Q4 Skill Changelog
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## 版本 0.1.0 - 初始实现
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### 2025-10-31
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- **新增**: agent skills 支持，测试阶段代码
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- **文件**: `chat_handler.py`, `knowledge_chat_cc_service.py`
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- **作者**: Alex
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### 2025-11-03
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- **新增**: 内置 skills (pptx, docx, pdf, xlsx)
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- **新增**: jina skill - 规范 jina 网络搜索
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- **解决**: "prompt too long" 问题
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### 2025-11-13
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- **新增**: cc agent task 任务添加默认 skills
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- **文件**: `task_handler.py`, `knowledge_task_cc_service.py`
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### 2025-11-19
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- **新增**: skill-creator 内置技能
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### 2025-11-20
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- **新增**: EFS 类型接口，新增上传 skill
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- **功能**: 支持 skill 包上传
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### 2025-11-21
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- **新增**: EFS 删除 skill 接口
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- **移除**: skill 查询接口（暂存）
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### 2025-11-22
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- **新增**: GRPC chat 接口，skills 参数支持
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### 2025-11-26
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- **新增**: skill 上传支持 `.skill` 后缀（测试）
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### 2025-11-28
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- **优化**: 默认挂载的 skill 改为合并逻辑
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- **优化**: 代码结构优化
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36
.features/skill/changelog/2026-Q1.md
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# 2026-Q1 Skill Changelog
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## 版本 0.2.0 - API 完善
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### 2026-01-07
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- **新增**: Skills 列表查询 API（能力管理页面）
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- **新增**: 技能管理 API with authentication
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- **文件**: `routes/skill_manager.py`
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- **作者**: claude[bot], 朱潮
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### 2026-01-09
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- **重构**: 移除 catalog agent，合并到 general agent
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- **说明**: 简化架构，统一使用 general_agent
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- **作者**: 朱潮
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### 2026-01-10
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- **修复**: SKILL.md 的 name 字段解析逻辑
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- **新增**: 支持非标准 YAML 格式
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- **新增**: 目录名称不匹配时自动重命名
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- **作者**: Alex
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### 2026-01-13
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- **修复**: multipart form data format for catalog service
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- **作者**: 朱潮
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### 2026-01-28
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- **新增**: enable_thinking, enable_memory, skills to agent_bot_config
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- **作者**: 朱潮
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### 2026-01-30
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- **修复**: skill router 正确注册
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- **作者**: 朱潮
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### 2026-02-11
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- **新增**: 初始化 skill feature memory
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- **作者**: 朱潮
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46
.features/skill/decisions/001-architecture.md
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# 001: Skill 架构设计
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## 状态
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已采纳 (Accepted)
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## 上下文
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需要为 QWEN_AGENT 模式的机器人提供可扩展的技能（插件/工具）支持，允许动态加载自定义功能。
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## 决策
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### 目录结构设计
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```
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skill-name/
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├── SKILL.md # 核心指令文档（必需）
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├── skill.yaml # 元数据配置（可选）
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├── .claude-plugin/
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│ └── plugin.json # Hook 和 MCP 配置（可选）
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└── scripts/ # 可执行脚本（可选）
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```
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### Hook 系统
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| Hook 类型 | 执行时机 | 用途 |
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|-----------|---------|------|
|
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| `PrePrompt` | system_prompt 加载时 | 动态注入用户上下文 |
|
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| `PostAgent` | agent 执行后 | 处理响应结果 |
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| `PreSave` | 保存消息前 | 内容过滤/修改 |
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### 技能来源
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1. **官方 skills**: `./skills/` 目录
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2. **用户 skills**: `projects/uploads/{bot_id}/skills/`
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## 结果
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### 正面影响
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- 渐进式加载，按需读取
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- 支持多种元数据格式（优先级: plugin.json > SKILL.md）
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- 完整的 Hook 扩展机制
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- MCP 服<><E69C8D><EFBFBD>器配置支持
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### 负面影响
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- 需要管理文件系统权限
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- 技能包格式验证复杂度增加
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## 替代方案
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1. 使用数据库存储（拒绝：文件更灵活）
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2. 仅支持单一格式（拒绝：用户多样性需求）
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35
.features/skill/decisions/002-security.md
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35
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# 002: Skill 上传安全措施
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## 状态
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已采纳 (Accepted)
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## 上下文
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用户可以上传 ZIP 格式的技能包，需要防范常见的安全攻击。
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## 决策
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### 安全防护措施
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| 威胁 | 防护措施 |
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|------|---------|
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| ZipSlip 攻击 | 检查每个文件的解压路径 |
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| 路径遍历 | 验证 `bot_id` 和 `skill_name` 格式 |
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| Zip 炸弹 | 压缩比检查（最大 100:1） |
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| 磁盘空间滥用 | 上传 50MB，解压后最大 500MB |
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| 符号链接攻击 | 禁止解压包含符号链接的文件 |
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### 限制规则
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```python
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MAX_UPLOAD_SIZE = 50 * 1024 * 1024 # 50MB
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MAX_EXTRACTED_SIZE = 500 * 1024 * 1024 # 500MB
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MAX_COMPRESSION_RATIO = 100 # 100:1
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```
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## 结果
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- 完整的上传验证链
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- 防止恶意文件攻击
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- 资源使用可控
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## 替代方案
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1. 使用沙箱容器解压（拒绝：复杂度高）
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2. 仅允许预定义技能（拒绝：限制用户自定义能力）
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@ -8,7 +8,7 @@ WORKDIR /app
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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# 安装系统依赖
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# 安装系统依赖（含 LibreOffice 和 sharp 所需的 libvips）
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RUN apt-get update && apt-get install -y \
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curl \
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wget \
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@ -16,6 +16,11 @@ RUN apt-get update && apt-get install -y \
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ca-certificates \
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libpq-dev \
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chromium \
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libreoffice-writer-nogui \
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libreoffice-calc-nogui \
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libreoffice-impress-nogui \
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libvips-dev \
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fonts-noto-cjk \
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&& rm -rf /var/lib/apt/lists/*
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# 安装Node.js (支持npx命令)
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@ -35,7 +40,7 @@ RUN pip install --no-cache-dir -r requirements.txt
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# 安装 Playwright 并下载 Chromium
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RUN pip install --no-cache-dir playwright && \
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playwright install chromium
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RUN npm install -g playwright && \
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RUN npm install -g playwright sharp && \
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npx playwright install chromium
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||||
|
||||
# 复制应用代码
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@ -8,7 +8,7 @@ WORKDIR /app
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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|
||||
# 安装系统依赖
|
||||
# 安装系统依赖（含 LibreOffice 和 sharp 所需的 libvips）
|
||||
RUN sed -i 's|http://deb.debian.org|http://mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources && \
|
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apt-get update && apt-get install -y \
|
||||
curl \
|
||||
@ -17,6 +17,11 @@ RUN sed -i 's|http://deb.debian.org|http://mirrors.aliyun.com|g' /etc/apt/source
|
||||
ca-certificates \
|
||||
libpq-dev \
|
||||
chromium \
|
||||
libreoffice-writer-nogui \
|
||||
libreoffice-calc-nogui \
|
||||
libreoffice-impress-nogui \
|
||||
libvips-dev \
|
||||
fonts-noto-cjk \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
|
||||
# 安装Node.js (支持npx命令)
|
||||
@ -36,7 +41,7 @@ RUN pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ -r req
|
||||
# 安装 Playwright 并下载 Chromium
|
||||
RUN pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ playwright && \
|
||||
playwright install chromium
|
||||
RUN npm install -g playwright && \
|
||||
RUN npm install -g playwright sharp && \
|
||||
npx playwright install chromium
|
||||
|
||||
# 安装modelscope
|
||||
|
||||
@ -138,33 +138,59 @@ async def load_system_prompt_async(config) -> str:
|
||||
|
||||
|
||||
|
||||
def replace_mcp_placeholders(mcp_settings: List[Dict], dataset_dir: str, bot_id: str, dataset_ids: List[str]) -> List[Dict]:
|
||||
def replace_mcp_placeholders(mcp_settings: List[Dict], dataset_dir: str, bot_id: str, dataset_ids: List[str], shell_env: Optional[Dict[str, str]] = None) -> List[Dict]:
|
||||
"""
|
||||
替换 MCP 配置中的占位符
|
||||
|
||||
支持的占位符来源（优先级从高到低）：
|
||||
1. 内置变量: {dataset_dir}, {bot_id}, {dataset_ids}
|
||||
2. shell_env 中的自定义环境变量
|
||||
3. 系统环境变量 (os.environ)
|
||||
"""
|
||||
if not mcp_settings or not isinstance(mcp_settings, list):
|
||||
return mcp_settings
|
||||
|
||||
dataset_id_str = ','.join(dataset_ids) if dataset_ids else ''
|
||||
|
||||
# 构建占位符映射：系统环境变量 < shell_env < 内置变量（优先级递增）
|
||||
import re
|
||||
placeholders = {}
|
||||
placeholders.update(os.environ)
|
||||
if shell_env:
|
||||
placeholders.update(shell_env)
|
||||
placeholders.update({
|
||||
'dataset_dir': dataset_dir,
|
||||
'bot_id': bot_id,
|
||||
'dataset_ids': dataset_id_str,
|
||||
})
|
||||
|
||||
def _safe_format(s: str) -> str:
|
||||
"""安全地替换字符串中的占位符，未匹配的占位符保持原样"""
|
||||
try:
|
||||
def _replacer(match):
|
||||
key = match.group(1)
|
||||
return placeholders.get(key, match.group(0))
|
||||
return re.sub(r'\{(\w+)\}', _replacer, s)
|
||||
except Exception:
|
||||
return s
|
||||
|
||||
def replace_placeholders_in_obj(obj):
|
||||
"""递归替换对象中的占位符"""
|
||||
if isinstance(obj, dict):
|
||||
for key, value in obj.items():
|
||||
if key == 'args' and isinstance(value, list):
|
||||
# 特别处理 args 列表
|
||||
obj[key] = [item.format(dataset_dir=dataset_dir, bot_id=bot_id, dataset_ids=dataset_id_str) if isinstance(item, str) else item
|
||||
obj[key] = [_safe_format(item) if isinstance(item, str) else item
|
||||
for item in value]
|
||||
elif isinstance(value, (dict, list)):
|
||||
obj[key] = replace_placeholders_in_obj(value)
|
||||
elif isinstance(value, str):
|
||||
obj[key] = value.format(dataset_dir=dataset_dir, bot_id=bot_id, dataset_ids=dataset_id_str)
|
||||
obj[key] = _safe_format(value)
|
||||
elif isinstance(obj, list):
|
||||
return [replace_placeholders_in_obj(item) if isinstance(item, (dict, list)) else
|
||||
item.format(dataset_dir=dataset_dir, bot_id=bot_id, dataset_ids=dataset_id_str) if isinstance(item, str) else item
|
||||
return [replace_placeholders_in_obj(item) if isinstance(item, (dict, list)) else
|
||||
_safe_format(item) if isinstance(item, str) else item
|
||||
for item in obj]
|
||||
return obj
|
||||
|
||||
|
||||
return replace_placeholders_in_obj(mcp_settings)
|
||||
|
||||
async def load_mcp_settings_async(config) -> List[Dict]:
|
||||
@ -269,7 +295,8 @@ async def load_mcp_settings_async(config) -> List[Dict]:
|
||||
# 替换 MCP 配置中的 {dataset_dir} 占位符
|
||||
if dataset_dir is None:
|
||||
dataset_dir = ""
|
||||
merged_settings = replace_mcp_placeholders(merged_settings, dataset_dir, bot_id, dataset_ids)
|
||||
shell_env = getattr(config, 'shell_env', None) or {}
|
||||
merged_settings = replace_mcp_placeholders(merged_settings, dataset_dir, bot_id, dataset_ids, shell_env)
|
||||
return merged_settings
|
||||
|
||||
|
||||
|
||||
@ -31,7 +31,6 @@ services:
|
||||
# 应用配置
|
||||
- BACKEND_HOST=http://api-dev.gbase.ai
|
||||
- MAX_CONTEXT_TOKENS=262144
|
||||
- DEFAULT_THINKING_ENABLE=true
|
||||
# PostgreSQL 配置
|
||||
- CHECKPOINT_DB_URL=postgresql://postgres:E5ACJo6zJub4QS@postgres:5432/agent_db
|
||||
- R2_UPLOAD_CONFIG=/app/config/local-upload.yaml
|
||||
|
||||
@ -12,7 +12,6 @@ services:
|
||||
# 应用配置
|
||||
- BACKEND_HOST=http://api-dev.gbase.ai
|
||||
- MAX_CONTEXT_TOKENS=262144
|
||||
- DEFAULT_THINKING_ENABLE=true
|
||||
- R2_UPLOAD_CONFIG=/app/config/s3-upload-sparticle.yaml
|
||||
volumes:
|
||||
# 挂载项目数据目录
|
||||
|
||||
@ -80,3 +80,15 @@ Trace Id: {trace_id}
|
||||
- Even when the user writes in a different language, you MUST still reply in [{language}].
|
||||
- Do NOT mix languages. Do NOT fall back to English or any other language under any circumstances.
|
||||
- Technical terms, code identifiers, file paths, and tool names may remain in their original form, but all surrounding text MUST be in [{language}].
|
||||
|
||||
**Citation Requirement (RAG Only)**: When answering questions based on `rag_retrieve` tool results, you MUST add XML citation tags for factual claims derived from the knowledge base.
|
||||
|
||||
**MANDATORY FORMAT**: `The cited factual claim <CITATION file="file_uuid" page="3" />`
|
||||
|
||||
**Citation Rules**:
|
||||
- The citation tag MUST be placed immediately after the factual claim or paragraph
|
||||
- The `file` attribute MUST use the exact `File ID` from `rag_retrieve` document
|
||||
- The `page` attribute MUST use the exact `Page Number` from `rag_retrieve` document
|
||||
- If multiple sources support the same claim, include separate citation tags for each source
|
||||
- Example: `According to the policy, returns are accepted within 30 days <CITATION file="abc123" page="5" />.`
|
||||
- This requirement ONLY applies when using `rag_retrieve` results to answer questions.
|
||||
|
||||
@ -5,7 +5,6 @@ API data models and response schemas.
|
||||
|
||||
from typing import Dict, List, Optional, Any, AsyncGenerator
|
||||
from pydantic import BaseModel, Field, field_validator, ConfigDict
|
||||
from utils.settings import DEFAULT_THINKING_ENABLE
|
||||
|
||||
class Message(BaseModel):
|
||||
role: str
|
||||
@ -52,7 +51,7 @@ class ChatRequest(BaseModel):
|
||||
mcp_settings: Optional[List[Dict]] = None
|
||||
user_identifier: Optional[str] = ""
|
||||
session_id: Optional[str] = None
|
||||
enable_thinking: Optional[bool] = DEFAULT_THINKING_ENABLE
|
||||
enable_thinking: Optional[bool] = False
|
||||
skills: Optional[List[str]] = None
|
||||
enable_memory: Optional[bool] = False
|
||||
shell_env: Optional[Dict[str, str]] = None
|
||||
|
||||
@ -35,8 +35,6 @@ SENTENCE_TRANSFORMER_MODEL = os.getenv("SENTENCE_TRANSFORMER_MODEL", "TaylorAI/g
|
||||
TOOL_OUTPUT_MAX_LENGTH = int(SUMMARIZATION_MAX_TOKENS/4)
|
||||
TOOL_OUTPUT_TRUNCATION_STRATEGY = os.getenv("TOOL_OUTPUT_TRUNCATION_STRATEGY", "smart")
|
||||
|
||||
# THINKING ENABLE
|
||||
DEFAULT_THINKING_ENABLE = os.getenv("DEFAULT_THINKING_ENABLE", "true") == "true"
|
||||
|
||||
|
||||
# WebDAV Authentication
|
||||
|
||||
Loading…
Reference in New Issue
Block a user