6 Commits

Author SHA1 Message Date
Fam Zheng
29f026e383 feat: real-time activity indicator in log panel
- New WsMessage::ActivityUpdate for live status broadcasting
- Shows current activity at bottom of log: LLM calls, tool execution, user approval
- Activity bar with spinner, auto-clears on workflow completion
- Status badge with pulse animation in log header
2026-03-09 10:26:42 +00:00
Fam Zheng
ae72e699f4 refactor: move routes under /tori/ prefix and add /api/obj mount
Routes now live at /tori/api, /ws/tori, and static files at /tori/.
Root / redirects to /tori/. Object storage mounted at /api/obj.
Dev proxy updated accordingly.
2026-03-04 11:46:52 +00:00
Fam Zheng
0a8eee0285 LLM call logging, plan persistence API, quote-to-feedback UX, requirement input improvements
- Add llm_call_log table and per-call timing/token tracking in agent loop
- New GET /workflows/{id}/plan endpoint to restore plan from snapshots on page load
- New GET /workflows/{id}/llm-calls endpoint + WS LlmCallLog broadcast
- Parse Usage from LLM API response (prompt_tokens, completion_tokens)
- Detailed mode toggle in execution log showing LLM call cards with phase/tokens/latency
- Quote-to-feedback: hover quote buttons on plan steps and log entries, multi-quote chips in comment input
- Requirement input: larger textarea, multi-line display with pre-wrap and scroll

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 09:16:51 +00:00
Fam Zheng
46424cfbc4 Refactor agent runtime: state machine, feedback processing, execution log
- 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>
2026-03-02 08:54:43 +00:00
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
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