3 Commits

Author	SHA1	Message	Date
Fam Zheng	2df4e12d30	Agent loop state machine refactor, unified LLM interface, and UI improvements ... - Rewrite agent loop as Planning→Executing(N)→Completed state machine with per-step context isolation to prevent token explosion - Split tools and prompts by phase (planning vs execution) - Add advance_step/save_memo tools for step transitions and cross-step memory - Unify LLM interface: remove duplicate types, single chat_with_tools path - Add UTF-8 safe truncation (truncate_str) to prevent panics on Chinese text - Extract CreateForm component, add auto-scroll to execution log - Add report generation with app access URL, non-blocking title generation - Add timer system, file serving, app proxy, exec module - Update Dockerfile with uv, deployment config Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-28 22:35:33 +00:00
Fam Zheng	ed66d9ac73	Add deployment documentation and deploy script ... Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-28 10:56:51 +00:00
Fam Zheng	7edbbee471	Tori: AI agent workflow manager - initial implementation ... Rust (Axum) + Vue 3 + SQLite. Features: - Project CRUD REST API with proper error handling - Per-project agent loop (mpsc + broadcast channels) - LLM-driven plan generation and replan on user feedback - SSH command execution with status streaming - WebSocket real-time updates to frontend - Four-zone UI: requirement, plan (left), execution (right), comment Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-28 10:36:50 +00:00