[Feature] add learnable agent#4
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Closing for new version preparation |
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添加完整的测试报告和架构问题分析文档: **新增文档:** 1. BUGS_FOUND.md - 端到端测试发现的6个BUG详细报告 2. ARCHITECTURE_ISSUES.md - 架构不协调问题深度分析 3. 更新 tasks.md - 添加数据库持久化任务和BUG记录 4. 更新 proposal.md - 添加Critical Bugs章节 **测试发现:** - BUG agentscope-ai#1: browse API缺失id字段 (✅ 已修复) - BUG agentscope-ai#2: 审计记录无持久化 (🔥 BLOCKER) - BUG agentscope-ai#4: 前后端字段不匹配 (✅ 已修复) - BUG agentscope-ai#5: universal上传未创建UnifiedFile (🔥 BLOCKER) - BUG agentscope-ai#6: 审计统计字段名不一致 (⚠️ High) **架构问题:** - 发现新旧文件系统设计哲学冲突 - UnifiedFileService vs universal upload 不兼容 - 需要重构以支持MinIO-only场景 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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Class Description
The LearnableAgent class extends AgentBase and implements abstract base class (ABC) functionalities, serving as the core for creating agents capable of learning from textual interactions.
Key components of the LearnableAgent class include:
reply: A method to be implemented by derived agents, allowing for customized response mechanisms.learn_from_chat: Processes messages from the agent's memory to learn and assess their value for knowledge preservation.archive_valuable_msg: Determines whether a message contains valuable knowledge and, if so, extracts a summary and stores it in the knowledge base.