- Call init_pain_storage() in Tauri .setup() so pain persistence activates on boot
- Integrate useColdStart hook into FirstConversationPrompt for auto-greeting
- Add UI mode toggle section to Settings/General (already had imports)
- Add "简洁" mode switch-back button to TopBar in professional layout
- Update SemanticSkillRouter @reserved annotation to reflect active status
HIGH fixes:
- H-NS-1: Non-streaming agent_chat now builds ChatModeConfig and calls
send_message_with_chat_mode(), matching the streaming path
- H-FE-1: ClarificationCard component renders structured clarification
questions with type badge, question text, and numbered options
- H-SEM-1: SemanticSkillRouter annotated as @reserved (Phase 3 wiring)
MEDIUM fixes:
- M-SETTINGS-1: Settings menu restructured with "高级" section separator;
skills/audit/tasks/heartbeat/semantic-memory grouped under advanced
- M-MAN-1: LoopEvent→StreamChatEvent mapping completeness checklist
added as documentation comment in agent_chat_stream loop
- M-ORPH-1: Deleted orphaned Automation/ and SkillMarket/ files,
plus transitively orphaned types, hooks, and adapters
- SemanticSkillRouter: add RuntimeLlmIntent trait and with_llm_fallback() builder
- route(): call LLM fallback when TF-IDF/embedding confidence < threshold
- CJK tokenization: generate bigrams for Chinese/Japanese/Korean text
- Fix: previous tokenizer treated entire CJK string as one huge token
- SemanticSkillRouter: add RuntimeLlmIntent trait and with_llm_fallback() builder
- route(): call LLM fallback when TF-IDF/embedding confidence < threshold
- CJK tokenization: generate bigrams for Chinese/Japanese/Korean text
- Fix: previous tokenizer treated entire CJK string as one huge token
- LlmSkillFallback: concrete RuntimeLlmIntent using LlmDriver
- Asks LLM to pick best skill from ambiguous candidates list
- Parses structured JSON response from LLM output
- Includes tests for LLM fallback and CJK tokenization
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
