Fam Zheng
46424cfbc4
- Add state.rs with AgentState/Step/StepStatus/AgentPhase as single source of truth - Extract prompts to markdown files loaded via include_str! - Replace plan_steps table with execution_log + agent_state_snapshots - Implement user feedback processing with docker-build-cache plan diff: load snapshot → LLM revise_plan → diff (title, description) → invalidate from first mismatch → resume - run_agent_loop accepts optional initial_state for mid-execution resume - Broadcast plan step status (done/running/pending) to frontend on step transitions - Rewrite frontend types/components to match new API (ExecutionLogEntry, PlanStepInfo with status) 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