Fam Zheng
2df4e12d30
- 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>
Tori — AI Agent 工作流管理器
AI agent 驱动的工作流管理 Web 应用。描述需求，AI 规划，agent 执行，随时通过 comment 反馈。
快速开始
# 开发模式（前后端同时启动）
make dev
# 构建生产版本
make build
# 部署到 OCI ARM 服务器
make deploy
配置
cp config.yaml.example config.yaml
# 编辑 config.yaml，填入 LLM API key 等
技术栈
- 后端: Rust (Axum) + SQLite
- 前端: Vite + Vue 3 + TypeScript
- LLM: OpenAI 兼容 API（Requesty.ai 网关）
- 实时通信: WebSocket
- 远程执行: SSH