Commit Graph

11 Commits

Author SHA1 Message Date
Fam Zheng
28a00dd2f3 feat: configurable OAuth (Google + TikTok SSO), project membership, inline file preview
- 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
2026-03-17 03:42:38 +00:00
63f0582f54 feat: add Google OAuth, remote worker system, and file browser
- Google OAuth login with JWT session cookies, per-user project isolation
- Remote worker registration via WebSocket, execute_on_worker/list_workers agent tools
- File browser UI in workflow view, file upload/download API
- Deploy script switched to local build, added tori.euphon.cloud ingress
2026-03-17 02:00:58 +00:00
Fam Zheng
fa800b1601 feat: step artifacts framework
- Add Artifact type to Step (name, path, artifact_type, description)
- step_done tool accepts optional artifacts parameter
- Save artifacts to step_artifacts DB table
- Display artifacts in frontend PlanSection (tag style)
- Show artifacts in step context for sub-agents and coordinator
- Add LLM client retry with exponential backoff
2026-03-09 12:01:29 +00:00
Fam Zheng
c0b681adc3 feat: add settings API with key-value store
GET/PUT endpoints for app settings backed by a settings table.
2026-03-04 11:46:58 +00:00
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
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
40f200db4f KB multi-article support: CRUD articles, per-article indexing, sidebar KB mode
- Replace singleton kb_content table with kb_articles (id, title, content)
- Add article_id to kb_chunks for per-article chunk tracking
- Auto-migrate old kb_content data on startup
- KbManager: index/delete per article, search across all with article_title
- API: full CRUD on /kb/articles, keep GET /kb for agent tool
- Agent: kb_search shows article labels, kb_read concatenates all articles
- Frontend: Sidebar KB mode with article list, KbEditor for single article

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 08:56:08 +00:00
d9d3bc340c Add global knowledge base with RAG search
- 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>
2026-03-01 08:15:50 +00:00
1aa81896b5 Add project soft-delete with workspace archival
- Add delete button (×) to sidebar project list, shown on hover
- Soft-delete: mark projects as deleted in DB instead of hard delete
- Move workspace files to /app/data/deleted/ folder on deletion
- Filter deleted projects from list query
- Auto-select next project after deleting current one
- Also includes agent prompt improvements for reverse proxy paths

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 07:56:37 +00:00
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
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