Fam Zheng
e4ba385112
- Split into `tori server` / `tori worker` subcommands (clap derive) - Extract lib.rs for shared crate (agent, llm, exec, state, etc.) - Introduce AgentUpdate channel to decouple agent loop from DB/broadcast - New sink.rs: AgentUpdate enum + ServiceManager + handle_agent_updates - New worker_runner.rs: connects to server WS, runs full agent loop - Expand worker protocol: ServerToWorker (workflow_assign, comment) and WorkerToServer (register, result, update) - Remove LLM from title generation (heuristic) and template selection (must be explicit) - Remove KB tools (kb_search, kb_read) and remote worker tools (list_workers, execute_on_worker) from agent loop - run_agent_loop/run_step_loop now take mpsc::Sender<AgentUpdate> instead of direct DB pool + broadcast sender
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