2 Commits

Author	SHA1	Message	Date
Alvis	09a93c661e	Add three-tier model routing with VRAM management and benchmark suite ... - Three-tier routing: light (router answers directly ~3s), medium (qwen3:4b + tools ~60s), complex (/think prefix → qwen3:8b + subagents ~140s) - Router: qwen2.5:1.5b, temp=0, regex pre-classifier + raw-text LLM classify - VRAMManager: explicit flush/poll/prewarm to prevent Ollama CPU-spill bug - agent_factory: build_medium_agent and build_complex_agent using deepagents (TodoListMiddleware + SubAgentMiddleware with research/memory subagents) - Fix: split Telegram replies >4000 chars into multiple messages - Benchmark: 30 questions (easy/medium/hard) — 10/10/10 verified passing easy→light, medium→medium, hard→complex with VRAM flush confirmed Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-28 17:54:51 +00:00
Alvis	ff20f8942d	Fix system prompt: agent now correctly handles memory requests ... - Tell agent that memory is saved automatically after every reply - Instruct agent to never say it cannot store information - Instruct agent to acknowledge and confirm when user asks to remember something - Fix misleading startup log (gemma3:1b → qwen2.5:1.5b) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-23 05:22:08 +00:00