3 Commits

Include renames

Author	SHA1	Message	Date
Aska	3f9c4ca3c3	fix(prompt): prevent LLM from confusing context with user input ... - Context merged into single system message with clear delimiters - Prefix: 「以下是系统上下文，不是用户说的话」 - Memory → 【相关记忆】, IoT → 【设备状态】 - Filter empty memories, skip raw intent data - Persona rule: context markers are internal data, not user input	2026-08-12 19:28:32 +08:00
Aska	585dfa1e38	fix(prompt): clean persona system prompt — remove YAML dump, filter empty subsessions ... - Persona injector: concise natural language rules, not raw YAML - Context builder: skip empty memory, skip raw intent data - Prompt reduced from 2000+ tokens to ~500 tokens - LLM response quality improved (natural tone, no confusion)	2026-08-12 19:27:12 +08:00
Aska	3b3e5a0697	feat(ai-core): add LLM orchestration engine ... - model: shared data types (Message, Intent, StreamToken, LLMMessage) - persona: YAML/Raw loading + system prompt injection - llm: OpenAI-compatible adapter with streaming + semantic cache - context: sliding window context store with token budgeting - subsession: parallel provider dispatch + review message parser - orchestrator: intent analysis pipeline (IoT/greeting/chat/memory) - background: autonomous thinking engine - 20+ tests, build + vet clean, ~130 total tests	2026-08-09 21:21:27 +08:00