3 Commits

Include renames

Author	SHA1	Message	Date
Aska	8603839711	feat(ai-core): trace instrumentation, LLM thinker, decay scheduler ... - orchestrator: Tracer interface with spans for intent analysis, persona, subsession dispatch, context build, LLM streaming and each tool call; traces finish when the stream completes — the admin Trace waterfall finally receives data - background: Thinker generates real LLM thoughts (post-chat + silence triggers, recent history as context, empty/overlong outputs discarded); thoughts broadcast to web clients as 'thinking' WS messages; pipeline postChatHook triggers post-chat thinking after each round - memory: ApplyDecayAll + ListUserIDs with a 6h decay/purge cron in main (was implemented but never scheduled)	2026-08-20 20:57:27 +08:00
Aska	6a4887e52a	feat(llm): add LLM call recording with admin panel integration ... - llm.Adapter: SetCallLogger hook for recording every API call - llm.CallLogger: ring-buffer with Recent+Stats for admin API - main.go: wire DeepSeek adapter to CallLogger - Fix: single CallLogger instance for both recording and display - Metrics: model name, duration, success/fail, tokens - All 16 packages pass	2026-08-12 19:10:51 +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