iven
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256dba49db
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fix(audit): 第五轮审计修复 — 反思LLM分析、语义路由、并行执行、错误中文化
- P2: 反思引擎接入 LLM 深度行为分析 (analyze_patterns_with_llm)
- P3-M6: 语义路由 RuntimeLlmIntentDriver 真实 LLM 匹配
- P3-L1: V2 Pipeline execute_parallel 改用 buffer_unordered 真正并行
- P3-S10: Rust 用户可见错误提示统一中文化
累计修复 27 项，完成度 ~72% → ~78%
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2026-03-27 12:10:48 +08:00 |
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iven
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0d4fa96b82
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refactor: 统一项目名称从OpenFang到ZCLAW
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重构所有代码和文档中的项目名称，将OpenFang统一更新为ZCLAW。包括：
- 配置文件中的项目名称
- 代码注释和文档引用
- 环境变量和路径
- 类型定义和接口名称
- 测试用例和模拟数据
同时优化部分代码结构，移除未使用的模块，并更新相关依赖项。
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2026-03-27 07:36:03 +08:00 |
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iven
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978dc5cdd8
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fix(安全): 修复HTML导出中的XSS漏洞并清理调试日志
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refactor(日志): 替换console.log为tracing日志系统
style(代码): 移除未使用的代码和依赖项
feat(测试): 添加端到端测试文档和CI工作流
docs(变更日志): 更新CHANGELOG.md记录0.1.0版本变更
perf(构建): 更新依赖版本并优化CI流程
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2026-03-26 19:49:03 +08:00 |
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iven
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b7f3d94950
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fix(presentation): 修复 presentation 模块类型错误和语法问题
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- 创建 types.ts 定义完整的类型系统
- 重写 DocumentRenderer.tsx 修复语法错误
- 重写 QuizRenderer.tsx 修复语法错误
- 重写 PresentationContainer.tsx 添加类型守卫
- 重写 TypeSwitcher.tsx 修复类型引用
- 更新 index.ts 移除不存在的 ChartRenderer 导出
审计结果:
- 类型检查: 通过
- 单元测试: 222 passed
- 构建: 成功
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2026-03-26 17:19:28 +08:00 |
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iven
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d0c6319fc1
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feat: 添加ESLint和Prettier配置并优化代码结构
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style: 格式化代码文件并修复样式问题
docs: 新增部署文档和系统要求文档
test: 更新测试截图和覆盖率报告
refactor: 重构SchedulerPanel加载状态逻辑
ci: 添加lint和format脚本到package.json
build: 更新依赖项并添加开发工具
chore: 添加验证报告和上线审查计划
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2026-03-26 08:02:23 +08:00 |
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iven
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bf6d81f9c6
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refactor: 清理未使用代码并添加未来功能标记
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style: 统一代码格式和注释风格
docs: 更新多个功能文档的完整度和状态
feat(runtime): 添加路径验证工具支持
fix(pipeline): 改进条件判断和变量解析逻辑
test(types): 为ID类型添加全面测试用例
chore: 更新依赖项和Cargo.lock文件
perf(mcp): 优化MCP协议传输和错误处理
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2026-03-25 21:55:12 +08:00 |
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iven
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aa6a9cbd84
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feat: 新增技能编排引擎和工作流构建器组件
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refactor: 统一Hands系统常量到单个源文件
refactor: 更新Hands中文名称和描述
fix: 修复技能市场在连接状态变化时重新加载
fix: 修复身份变更提案的错误处理逻辑
docs: 更新多个功能文档的验证状态和实现位置
docs: 更新Hands系统文档
test: 添加测试文件验证工作区路径
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2026-03-25 08:27:25 +08:00 |
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iven
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9c781f5f2a
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feat(pipeline): implement Pipeline DSL system for automated workflows
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Add complete Pipeline DSL system including:
- Rust backend (zclaw-pipeline crate) with parser, executor, and state management
- Frontend components: PipelinesPanel, PipelineResultPreview, ClassroomPreviewer
- Pipeline recommender for Agent conversation integration
- 5 pipeline templates: education, marketing, legal, research, productivity
- Documentation for Pipeline DSL architecture
Pipeline DSL enables declarative workflow definitions with:
- YAML-based configuration
- Expression resolution (${inputs.topic}, ${steps.step1.output})
- LLM integration, parallel execution, file export
- Agent smart recommendations in conversations
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-03-25 00:52:12 +08:00 |
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