Backend:
- Enrich GET /api/chat/models to also hit /api/ps and return loaded:bool
and modified_at alongside name/size, using parallel gather
Frontend (Settings → General):
- Model list: each row shows name (monospace), size (GB/MB), 'in VRAM' badge
if currently loaded, 'default' badge if it's the configured default
- Delete button per row; disabled while deletion in progress
- Pull form: text input (Enter submits) + Pull button
- Suggestion chips for qwen3:7b/14b/4b, llama3.1:8b, nomic-embed-text;
disabled if already installed
- Progress display during pull: status text + determinate bar when
Ollama reports total/completed, indeterminate animation otherwise
- Refresh button reloads the list; list auto-refreshes after pull/delete
- Link to ollama.com/library for model discovery
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
conv.model was stored at conversation creation time and short-circuited
the get_setting() call, so changing default_model in Settings had no
effect on existing conversations. Now the user's default_model setting
is always the source of truth for generation and summarization.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- stream_chat and stream_chat_with_tools: remove read=300s per-chunk
timeout, replace with read=None. In httpx streaming mode, the read
timeout applies per-chunk — if Ollama pauses >300s while processing
a large input context before the first token, it raises ReadTimeout,
killing generation and leaving the assistant message as an empty stub.
With read=None the stream is unbounded; connect=30s still guards the
initial connection.
- chat_status_route: increase Ollama status check timeout 5s → 10s.
When Ollama is busy processing a large prompt it can be slow to
respond to /api/tags, causing the status indicator to briefly flip to
"offline" even though generation is running normally.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When a user selected the 'Default' option in Settings, the dropdown
sent an empty string "" to the backend. The route saved it as a DB row,
which caused get_setting() to return "" instead of falling back to
Config defaults. The chat status endpoint then tried to match "" against
installed model names — always failing — resulting in model: "not_found"
and a permanently failing readiness indicator.
services/settings.py:
- Add delete_setting() helper: removes a setting row so get_setting()
correctly falls back to its hardcoded default argument
routes/settings.py:
- Import delete_setting
- When default_model or intent_model are saved as empty string, delete
the DB row instead of storing "" — cleanly restores Config fallback
routes/chat.py:
- chat_status_route: add explicit `or Config.OLLAMA_MODEL` guard for
any existing "" rows written before this fix (migration safety net)
- send_message and summarize routes: same guard on model resolution
so empty settings never cause silent generation failures
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Backend security & correctness:
- Add rate_limit.py: sliding-window rate limiter (asyncio) applied to login,
register, forgot/reset password endpoints (10/60s or 5/300s per IP)
- app.py: add security headers in after_request (X-Frame-Options, CSP,
X-Content-Type-Options, Referrer-Policy) using setdefault to preserve SSE headers
- auth.py: refactor duplicate login_required/admin_required into shared _check_auth()
- config.py: add TRUST_PROXY_HEADERS for proxy-aware client IP resolution
- routes/auth.py: rate limiting, _client_ip() helper, cleaned-up reset_password route
- routes/chat.py, notes.py, tasks.py: int() DoS fix on last_event_id; limit capped
at 500; date.fromisoformat() wrapped in try/except → 400 on invalid dates
- services/auth.py: fix Setting.user_id update bug (filter on NULL not user.id);
reset_password_with_token returns int|None (user_id) instead of bool
- services/backup.py: add _security_notice to full backup JSON export
- services/assist.py: system prompt explicitly preserves markdown list structure
and nested indented sub-items
Infrastructure:
- docker-compose.yml: add healthcheck on app service (/api/health, 10s interval)
- .dockerignore: prevent secrets/node_modules/__pycache__/.env.* leaking into build
Frontend bug fixes:
- TaskCard.vue, TaskViewerView.vue: fix isOverdue() timezone bug (ISO string compare)
- useAssist.ts: accept() now resets state to idle when document changed since proposal
- stores/chat.ts: fix memory leak in _pollUntilLoaded() (try/catch around fetchStatus)
- TiptapEditor.vue: selection offset uses closest-match strategy (not first-match)
- utils/markdown.ts: explicit DOMPurify config with FORCE_BODY; remove as const
(DOMPurify expects mutable string[])
New features:
- Auto-save (5-minute interval) in NoteEditorView and TaskEditorView — only when
editing an existing dirty record; silent on error, shows "Auto-saved" toast
- sectionParser.ts: top-level bullet/numbered list items are now individual sections
in the AI Assist panel (previously treated as one undifferentiated block)
- editor-shared.css: extracted ~500 lines of CSS duplicated between both editors;
includes .inline-assist-btn at global scope (required for teleported elements)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Context sidebar + note title:
- ChatView: replace ephemeral context pills with a persistent right-panel sidebar;
auto-found notes accumulate across turns; attached note shows with pin icon;
× button excludes a note from future auto-search; hidden on mobile
- routes/chat.py: batch-fetch note titles via get_notes_by_ids() and inject
context_note_title into each message dict at conversation load time
- notes.py: add get_notes_by_ids() batch fetch helper
- types/chat.ts: add context_note_title field to Message interface
- stores/chat.ts: sendMessage accepts optional 5th arg contextNoteTitle,
included in optimistic user message
- ChatMessage.vue: context badge shows note title instead of 'Note #N'
Expanded LLM tool suite (all with intent router rules + ToolCallCard display):
- delete_note / delete_task: permanent delete with user confirmation (write tool),
type-safe (refuse to delete wrong type), clears note context cache on success
- get_note: fetch full note body by query (search_notes returns only 200-char preview)
- list_notes: browse notes by recency/keyword/tags with limit; notes only
- update_note: add tags + tag_mode (replace/add/remove) parameters
- search_notes: add optional type filter ("note" | "task")
- search_todos (CalDAV): keyword-filter todos, companion to list_todos
- caldav.py: add search_todos() built on top of list_todos()
- generation_task.py: register new tools in _WRITE_TOOLS, _TOOL_LABELS, _TOOL_ACTIONS
- llm.py: update available actions list and guidance in system prompt
- intent.py: routing rules for all new tools
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
stream_chat_with_tools now accepts a think parameter. run_generation
forwards it to Ollama. The message POST route reads think from the
request body. ChatView passes think=true so qwen3 uses chain-of-thought
reasoning for full conversations; the dashboard widget and ChatPanel
omit it, staying fast. Dashboard button updated to "Think it through
in Chat →" to signal the deeper capability.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Before executing any write tool (create/update/delete), the backend now
pauses with an asyncio.Future and emits a tool_pending SSE event. The
frontend displays a ToolConfirmCard with Accept and Decline buttons.
Clicking Accept resolves the Future and proceeds; Decline records a
declined tool_call chip and falls through to regular streaming. Typing
single-word yes/no responses (e.g. "yes", "cancel") also works as
confirmation. 120s timeout auto-declines if no response.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- build_context() moved from route handler into run_generation() background task.
The 202 response now returns immediately; client connects to SSE before
note search / URL fetch begins, so 'Building context...' status is visible.
- _generate_title() runs in a fire-and-forget asyncio.create_task() after the
'done' SSE event fires. Users see their response complete 2–5s sooner on new
conversations; title appears later in the sidebar without blocking the stream.
- generate_completion() now sets think:False and accepts a max_tokens limit.
Intent classifier passes max_tokens=200 (JSON only), title generator passes
max_tokens=30 (short title), eliminating qwen3 thinking-mode overhead on these
auxiliary calls.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Streaming status transparency:
- generation_task.py emits 'status' SSE events at each pipeline stage:
"Analyzing your request..." before intent classification, tool label
before each tool execution, "Generating/Composing response..." before
each LLM streaming round
- chat.ts adds streamingStatus ref; cleared on first chunk or done/error;
includes fast 5s poll loop after warmModel() until model shows as loaded
- ChatView.vue shows pulsing dot + italic status label above content area;
falls back to blinking cursor once content arrives
- HomeView.vue shows status label in dashboard panel instead of '...'
Model load state indicator:
- /api/chat/status now queries /api/tags and /api/ps in parallel to
distinguish installed-but-cold vs loaded-in-VRAM model states
- New model status values: 'not_found' | 'cold' | 'loaded' (was 'ready')
- chatReady true for both 'cold' and 'loaded' (cold models still work)
- AppHeader shows 5 states: gray pulse (checking), red (Ollama down),
orange (not installed), yellow pulse (cold), green (loaded)
- Inline short label ("Cold", "Ready", "Offline", etc.) visible without
hovering; detailed tooltip on hover
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Green/red emoji circles replace Unicode symbols for at-a-glance model
readiness. Increase connect timeouts (10→30s) for cold model loading,
warm timeout (120→300s) for large models, and pull timeout (600→1800s)
to match route-level limit. Show error toast on SSE reconnection failure
instead of silently recovering.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add GET /api/chat/ps and POST /api/chat/warm endpoints for hot model
visibility and pre-loading
- Extend PATCH /api/chat/conversations/:id to accept model in addition
to title
- Add ModelSelector component with hot/cold indicators from Ollama /api/ps
- Add DashboardChatInput component (model selector + note picker + textarea)
replacing the simple "New Chat" button on the dashboard
- Add model selector dropdown to ChatView header, persisted per-conversation
- Warm default model on dashboard mount via fire-and-forget background task
- Configure Ollama with OLLAMA_MAX_LOADED_MODELS=2 and OLLAMA_KEEP_ALIVE=30m
- Always-visible edit buttons on NoteCard/TaskCard (remove hover-only behavior)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Rewrite get_all_tags() with SQL unnest instead of loading all notes
- Consolidate convert_note_to_task/convert_task_to_note to single-session ops
- Add search_notes_for_context() with single OR-keyword query for build_context()
- Drop selectinload from list_conversations(), use correlated subquery for message_count
- Add set_settings_batch() for single-transaction multi-setting upserts
- Extract get_installed_models() shared helper into services/llm.py
- Delete services/tasks.py pass-through wrapper; routes/tasks.py imports from services.notes
- Add B-tree indexes on notes.title and conversations.updated_at (migration 0007)
- Add logging to services/notes.py, services/chat.py, services/settings.py
- Safe Conversation.to_dict() when messages relationship is not loaded
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Improve chat context: build_context() now returns metadata about auto-found
notes, emitted as an SSE event so the frontend can display context pills
showing which notes influenced the response. Users can promote notes for
deeper context (+) or exclude irrelevant ones (x). A note picker lets users
manually attach notes. Multi-word search uses per-term AND matching, and
auto-search iterates keywords individually for broader OR-style coverage.
Standardize styling: introduce CSS design tokens (--radius-sm/md/lg/pill,
--color-success/warning/overlay, --focus-ring) and migrate all components
to use them. Fix header alignment to full-width, add active nav link state,
replace hardcoded colors with CSS variables, and normalize button padding.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace the asyncio.create_task() fire-and-forget pattern for model
downloads with SSE streaming that relays Ollama's pull progress in
real time. The frontend now shows live download percentage instead of
a static "Pulling..." label with blind polling.
- routes/chat.py: SSE streaming endpoint with 1800s timeout
- stores/settings.ts: pullModel uses apiStreamPost with onProgress callback
- SettingsView.vue: live "Downloading 42%" display, removed polling/setTimeout
- summary.md: updated to reflect SSE streaming for model pulls
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Settings infrastructure: key-value settings table, GET/PUT API, Pinia store
- Configurable assistant name (default "Fable") in settings and LLM system prompt
- Model catalog with 18 models in 3 categories (General Purpose, Coding,
Uncensored / Creative Writing) with download/select/remove functionality
- Move Ollama status indicator from chat views to global nav bar
- Chat bubble layout: user messages right-aligned, assistant left-aligned
- Floating dark input bar with auto-focus and circular send button
- Fix HTML entity rendering (' apostrophe issue in marked/DOMPurify pipeline)
- Fix new chat button navigation (fetchConversation before router.push)
- Recent chats section on home page with "New Chat" button
- Update summary.md with Phase 4.5 changes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds visibility into whether Ollama is reachable and the configured model
is ready before allowing chat. Prevents silent failures when the model is
still downloading or Ollama is unavailable.
- Backend: GET /api/chat/status endpoint checks Ollama /api/tags (5s timeout)
Returns ollama availability + model readiness + default model name
- Frontend: OllamaStatus type, chat store polling (30s interval)
- ChatView: status dot + label in header (green/yellow/red), disabled send
- ChatPanel: compact status indicator in panel header, disabled send
- summary.md: updated with new endpoint, store changes, and component descriptions
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Phase 4: Full chat system with SSE streaming, note-aware context, and
conversation persistence.
Backend:
- Migration 0005: conversations + messages tables with FKs and indexes
- Conversation/Message SQLAlchemy models with relationships
- LLM service: ensure_model (auto-pull on startup), stream_chat (NDJSON),
generate_completion, fetch_url_content (HTML stripping), build_context
(keyword extraction, related note search, URL content injection)
- Chat service: conversation CRUD, save_response_as_note,
summarize_conversation_as_note
- Chat routes blueprint: 9 endpoints including SSE streaming for messages,
save/summarize as note, Ollama model listing
- Auto-pull llama3.1 model on app startup (non-blocking)
Frontend:
- apiStreamPost: SSE client using fetch + ReadableStream
- Chat Pinia store with streaming state management
- ChatView: dedicated /chat page with conversation sidebar + message thread
- ChatPanel: slide-out panel with contextNoteId from current route
- ChatMessage: markdown-rendered message bubble with "Save as Note" action
- Updated AppHeader with Chat nav link + panel toggle button
- Updated App.vue to mount ChatPanel with route-derived context
- Added /chat and /chat/:id routes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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