朱潮
05e22391ed
merge FACT_RETRIEVAL_PROMPT.md
2026-04-03 10:34:09 +08:00
朱潮
7da8466b3d
✨ feat: 记忆排除规则新增设备状态查询、故障报告、联系方式查找
...
- 新增排除类别：设备/设施状态查询与结果、Bug/故障报告、联系方式查找
- 新增3个日语负例 few-shot examples
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-02 16:48:11 +08:00
朱潮
bb23d230d1
✨ feat: 优化记忆提示词，过滤操作性/查询性动作
...
- 新增 EXCLUDE 排除规则，过滤查询动作、设备操作、一次性指令等不应记忆的信息
- 新增7个日语负例 few-shot examples（查询员工信息、操作灯光、设置空调等）
- 新增核心判断规则：只记忆用户是谁，不记忆用户让助手做了什么
- 同步合并 dev 分支的 plain language 规则和语义完整性改进
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-02 16:44:04 +08:00
autobee-sparticle
deb78a7625
fix: improve memory extraction for colloquial/informal speech ( #16 )
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* chore: add .worktrees/ to .gitignore
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(CI): 添加 onprem-dev 环境的构建和部署配置
在 CircleCI 配置中新增 onprem-dev 环境的 build-and-push 和 deploy 任务，部署到 cluster-for-B 的 onprem-dev 命名空间
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: improve memory extraction for colloquial/informal speech
Add semantic completeness rules and multilingual few-shot examples
to FACT_RETRIEVAL_PROMPT to prevent truncated or semantically incorrect
memory extraction. Specifically addresses Japanese casual speech where
particles (が, を, に) are often omitted.
Closes sparticleinc/mygpt-frontend#2125
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: zhuchao <zhuchaowe@163.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: shuirong <shuirong1997@icloud.com>
2026-03-17 10:37:49 +09:00
朱潮
17f4217f29
添加了同名人员处理说明
2026-03-02 16:06:58 +08:00
朱潮
60bd1e4042
✨ feat(prompt): add fact retrieval prompt with contact tracking
...
Add comprehensive prompt for extracting and storing user facts from
conversations, with special focus on relationship/contact tracking:
- Full name and nickname association (e.g., "Mike" → "Michael Johnson")
- Relationship context recording (family, friend, colleague, etc.)
- Multi-language name support
- Few-shot examples for various fact extraction scenarios
Generated with [Claude Code](https://claude.ai/code )
via [Happy](https://happy.engineering )
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
2026-01-21 13:22:17 +08:00
