- Remove agent_loop from server (was ~400 lines) — server dispatches to workers
- AgentManager simplified to pure dispatcher (send_event → worker)
- Remove LLM config requirement from server (workers bring their own via config.yaml)
- Remove process_feedback, build_feedback_tools from server
- Remove chat API endpoint (LLM on workers only)
- Remove service proxy (services run on workers)
- Worker reads LLM config from its own config.yaml
- ws_worker.rs handles WorkerToServer::Update messages (DB + broadcast)
- Verified locally: tori server + tori worker connect and register
- 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
- Auth: configurable OAuthProvider enum supporting Google OAuth and TikTok SSO
- Auth: /auth/provider endpoint for frontend to detect active provider
- Auth: user role system (admin via ADMIN_USERS env var sees all projects)
- Projects: project_members many-to-many table with role (owner/member)
- Projects: membership-based access control, auto-add creator as owner
- Projects: member management API (list/add/remove)
- Files: remove Content-Disposition attachment header, let browser decide
- Health: public /tori/api/health endpoint for k8s probes
- POST /tori/api/token — sign ES256 JWT with configurable private key
- exec.rs auto-generates and injects TORI_JWT env var for all commands
- Config: jwt_private_key field for PEM file path
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.
- 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>
- 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>
Query workflows with status pending/planning/executing after restart
and re-submit them to the agent manager for continuation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- KB module: fastembed (AllMiniLML6V2) for CPU embedding, SQLite for
vector storage with brute-force cosine similarity search
- Chunking by ## headings, embeddings stored as BLOB in kb_chunks table
- API: GET/PUT /api/kb for full-text read/write with auto re-indexing
- Agent tools: kb_search (top-5 semantic search) and kb_read (full text)
available in both planning and execution phases
- Frontend: Settings menu in sidebar footer, KB editor as independent
view with markdown textarea and save button
- Also: extract shared db_err/ApiResult to api/mod.rs, add context
management design doc
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
