Ruff 0.15.7 incorrectly flags datetime.fromisoformat() as a
"local variable referenced before assignment" inside a try block
within execute_tool(). datetime is imported at module level and
is not a local variable. Added noqa comment at the specific line.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- AI calendar tools now always available (moved from _CALDAV_TOOLS to _CORE_TOOLS);
create/list/search/update/delete events go through the internal DB store first,
with fire-and-forget CalDAV push sync when the user has CalDAV configured
- Add EventEntry interface and typed API helpers (listEvents, createEvent,
getEvent, updateEvent, deleteEvent) to client.ts
- Install @fullcalendar/vue3, daygrid, timegrid, interaction, core packages
- Add EventSlideOver.vue: create/edit/delete slide-over with title, start/end,
all-day toggle, location, description, color picker, and project selector
- Add CalendarView.vue: month/week/day FullCalendar with drag-drop and resize
wired to PATCH /api/events/:id; click empty date opens create slide-over
- Wire /calendar route, Calendar nav link in AppHeader, g+l keyboard shortcut
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Project view:
- Add inline status advance buttons on kanban task cards (todo→in_progress,
in_progress→done); buttons reveal on hover, stop link navigation
Task viewer:
- Back button navigates to task's project instead of /tasks when project_id set
- Esc key navigates to project (or /tasks); blurs focused element first
Quick capture:
- Use user's configured model instead of hardcoded Config.OLLAMA_MODEL
- Remove create_project from classifier prompt (tool not offered, caused
task-shaped inputs to silently fall through to note fallback)
Briefing scheduler:
- Fix get_event_loop() → get_running_loop() so background thread uses the
correct hypercorn event loop (jobs were scheduling but never executing)
- Suppress bare greeting when both LLM synthesis lanes return empty
RSS feed UI (SettingsView):
- Show last-fetched age, category badge, and feed URL per row
- Category input field when adding a feed
- Refresh all button: fetches latest items, reloads list, toasts with count
- Enter key submits add-feed form; better empty-state hint with example feeds
Weather tool:
- Accept any city/region name in addition to 'home'/'work'/'all'
- Geocodes via Nominatim + fetches live from Open-Meteo for arbitrary queries
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Accepted main's semantic duplicate threshold (>= 80 chars) over dev's
(>= 200 chars) for both note and task body checks.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- _resolve_project now uses reverse-substring + SequenceMatcher (≥0.55)
so partial names like "Famous Supply" match "Famous Supply Co." reliably
- create_project runs similar-project checks before the confirmed gate so
confirmed=true can't bypass them; threshold lowered to 0.55 to catch
abbreviated names
- Error messages on project-not-found no longer suggest create_project,
directing the model to list_projects first
- Tool description updated to explicitly prohibit calling create_project
in response to a lookup failure
- tasks.py: fire-and-forget embedding update on create/update
- briefing_pipeline.py: await is_caldav_configured (was sync call)
- notes.py: remove erroneous duplicate count_query filter
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add update_milestone LLM tool: accepts project + milestone title to
look up, then applies any of title/description/status changes
- WorkspaceView SSE watcher now triggers taskPanelRef.reload() on
create_milestone and update_milestone success, so milestone groups
appear immediately without a manual refresh
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
create_note now only checks against existing notes (is_task=False);
create_task only checks against existing tasks (is_task=True). All three
checks (exact title, fuzzy title, semantic similarity) pass the type
filter through to list_notes and semantic_search_notes.
Adds is_task param to semantic_search_notes() so callers can restrict
results to notes or tasks independently.
Prevents a note titled "Design enemy AI" from blocking a task with the
same title, and vice versa.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Raises body character limit from 80 → 200 (skips short/stub notes)
and threshold from 0.87 → 0.90 (only flags near-identical content).
Enemy design notes sharing a template will pass through cleanly;
accidentally duplicated notes with the same detailed content will
still trigger the confirmation prompt.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Queued message bubbles now match user bubble style (primary colour,
right-aligned, opacity 0.45) in both ChatView and WorkspaceView
- Queue persisted to localStorage (fa_conv_queue_<id>); survives page
refresh, restored on fetchConversation, cleared on delete
- ToolCallCard confirm/deny: buttons now inline in header row; "Create
anyway" calls POST /api/notes or /api/tasks directly (no LLM round-trip);
shows "✓ Created" / "Skipped" state; removed chatStore dependency
- POST /api/notes and POST /api/tasks now accept project (name string) and
resolve to project_id server-side, matching tools.py behaviour
- Remove semantic similarity duplicate check from create_note and
create_task — 0.87 threshold was too aggressive for topically-related
notes; title-based exact/fuzzy checks are sufficient
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Dashboard chat: allow typing/sending during streaming (queued in store)
placeholder updates to "Type to queue…" during generation
- ChatView/WorkspaceView: replace queued chip with actual pending message
bubbles — light grey, dashed border, "Queued" badge above content; clear
button below the stack
- ToolCallCard: when tool returns requires_confirmation=True, show
"Similar content found" label (not "Error"), link to the similar note,
and "Create Anyway" / "Don't Create" buttons that auto-send the reply
- tools.py: fuzzy title match now returns requires_confirmation=True with
similar_note data instead of a hard error, so numbered-series notes
(Lore: X 0, Lore: X 1) can be created with one button click; semantic
match responses also include similar_note for the link
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The semantic similarity check was flagging unrelated short-title tasks
as duplicates (e.g. "Lore: Shell 0" matching "Lore: Reinitialization 0"
at 91%) because with no body, the embedding is purely title-based and
co-domain tasks in the same project share a tight embedding neighborhood.
Only run the semantic check when the body is ≥ 80 chars — enough
content to make a meaningful comparison. The fuzzy title check already
covers exact/near-exact title duplicates.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The semantic similarity check was flagging unrelated short-title tasks
as duplicates (e.g. "Lore: Shell 0" matching "Lore: Reinitialization 0"
at 91%) because with no body, the embedding is purely title-based and
co-domain tasks in the same project share a tight embedding neighborhood.
Only run the semantic check when the body is ≥ 80 chars — enough
content to make a meaningful comparison. The fuzzy title check already
covers exact/near-exact title duplicates.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Three-layer guard on create_note and create_task:
1. Exact title match (get_note_by_title, case-insensitive) → hard block,
redirects model to use update_note instead
2. Fuzzy title match (SequenceMatcher ≥82%, punct-stripped word search for
candidates) → hard block; catches "Game Premise" vs "Game Premise Notes"
3. Semantic content similarity (semantic_search_notes threshold=0.87) → soft
block with requires_confirmation:true; model asks user then retries with
confirmed:true; graceful no-op if embedding model is unavailable
create_project and create_milestone now always require confirmed:true before
creation (structural entities — must be intentional). Both are also guarded
by exact + fuzzy title checks post-confirmation.
create_note and create_task gain an optional confirmed parameter (not
required by default; only used to bypass a content-similarity soft-block
after the user has been asked).
Helpers added to tools.py:
- _fuzzy_title_match(title, candidates, threshold=0.82)
- _PUNCT_RE for stripping punctuation before word-search candidate fetch
- difflib.SequenceMatcher and re imported at module level
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
tools.py:
- Default tag_mode changed from 'replace' to 'add' — existing tags are
preserved unless the user explicitly requests replacement
- create_task, create_note, update_note, create_milestone: project and
milestone lookup now uses get_by_title with fuzzy fallback; returns a
clear error (with a hint to use list_projects/list_milestones) instead
of silently creating duplicate projects or milestones via get_or_create
- create_task: project/milestone resolved before note creation so a bad
project name fails fast without leaving an orphaned task behind
- update_note return value now includes item_type, tags, project_id, and
an 'updated' summary string so the LLM can confirm what was modified
- research_topic stub now logs an error and returns failure instead of
silently returning success when reached via wrong code path
ProjectView.vue:
- Milestone headers now show edit (✎) and delete (✕) action buttons on hover
- Edit triggers inline rename input; Enter/blur commits, Escape cancels
- Delete opens a confirmation modal clarifying tasks are unlinked not deleted
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove all 6 CalDAV todo tools (create/list/update/complete/delete/search_todos)
from tools.py definitions, imports, execute_tool branches, intent routing rules,
generation_task labels/actions, and llm.py system prompt hints. CalDAV event
tools remain. Todo functions still exist in caldav.py but are no longer exposed.
- Quick-capture now uses a dedicated classify_capture_intent() with a focused
_CAPTURE_SYSTEM_PROMPT that always routes to a tool (never null). Tool set
expanded: create_note/task/event + update_note + research_topic.
- research_topic in quick-capture calls run_research_pipeline() directly (no SSE
buffer). run_research_pipeline() now accepts buf=None; all buf.append_event
calls are guarded so status events are skipped when no buffer is provided.
- Fallback note now always sets body=text (was empty for texts ≤80 chars).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- tools.py: search_images result now includes 'embed' (ready-to-use
markdown image syntax) and 'citation' fields instead of raw 'local_url';
adds 'instructions' field so the model knows to render them verbatim
- llm.py: system prompt now explicitly tells the model to embed images
using the 'embed' field rather than describing or listing URLs
- markdown.ts: explicitly allow src/alt in PURIFY_OPTS_FULL so img tags
are never stripped by DOMPurify
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Images found via SearXNG are fetched server-side, stored on disk, and
served from /api/images/<id> — the user's browser never contacts the
original image host. Original URLs are preserved for citation.
New files:
- alembic/versions/0016_add_image_cache.py — image_cache table
- src/fabledassistant/models/image_cache.py — SQLAlchemy model
- src/fabledassistant/services/images.py — fetch/store/serve logic
- src/fabledassistant/routes/images.py — GET /api/images/<id>
Modified:
- config.py: IMAGE_CACHE_DIR (/data/images), IMAGE_MAX_BYTES (5 MB)
- research.py: _search_searxng_images() — SearXNG categories=images
- tools.py: _IMAGE_TOOLS def + search_images branch in execute_tool
- intent.py: search_images routing rule (explicit visual language only)
- app.py: register images_bp
- docker-compose.yml: image_cache named volume mounted at /data/images
- ToolCallCard.vue: "image_search" label
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The model occasionally passes title as a list (e.g. when asked to create
multiple notes at once), causing asyncpg DataError on the INSERT. Return a
clear error result so the model sees the problem and retries with individual
calls instead of crashing with an unhandled exception.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Tags are now a first-class field rather than being auto-extracted from
the note body. A new TagInput.vue chip component handles tag entry in
both editor views with autocomplete, Enter/comma/backspace UX, and
space-to-hyphen sanitization.
Backend:
- routes/notes.py: create reads tags from JSON; update accepts explicit
tags (omit = keep existing); append_tag writes to tags array with
dedup; suggest-tags accepts current_tags filter; remove extract_tags
- routes/tasks.py: same — explicit tags on create/update; remove extract_tags
- services/tag_suggestions.py: current_tags param replaces body extraction
- services/tools.py: create_note tool schema adds tags param; executor passes it
- services/llm.py: system prompt tells LLM to use tags param, not embed #tag in body
Frontend:
- components/TagInput.vue: new chip-based tag input (autocomplete, keyboard UX)
- NoteEditorView.vue / TaskEditorView.vue: tags ref loaded from note.tags;
TagInput placed between title and body; save/autosave include tags; suggest
now adds chips; fetchTagSuggestions passes current_tags; dirty tracks tags
- TiptapEditor.vue: remove fetchTags prop and TagSuggestion extension;
keep TagDecoration for legacy inline #tag highlighting
No DB migration needed — tags column already correct.
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>
- New NoteEmbedding model + migration 0014 stores float embeddings (JSONB)
- services/embeddings.py: get_embedding, upsert_note_embedding,
semantic_search_notes (cosine similarity), backfill_note_embeddings
- build_context() now tries semantic search first, falls back to keyword search;
accepts cached_note_ids to reuse last-turn notes and stabilise the system
prompt prefix for Ollama's KV cache
- generation_buffer.py: per-conversation note ID cache (get/set/clear)
- generation_task.py: passes cached IDs into build_context, updates cache
after each turn, and invalidates it after create_note/update_note/create_task
- app.py: pulls nomic-embed-text at startup and launches a background backfill
to embed all existing notes (30 s delay so Ollama has time to load the model)
- routes/notes.py + services/tools.py: fire-and-forget embedding update on
every note create or update via the API or LLM tool calls
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- update_note: extend with status/priority/due_date fields so task attributes
can be changed via chat (mark done, set priority, move due date). body is now
optional — task field updates work without touching content.
- list_tasks: new core tool with status/priority/due_before/due_after/limit
filters backed by list_notes(is_task=True). Enables queries like
"overdue tasks", "high priority tasks", "what's in progress".
- update_todo: new CalDAV tool to modify VTODO summary, due date, description,
and priority — follows update_event pattern (modify component, rebuild ical,
save). Completes the CalDAV todo CRUD suite.
- tools.py: add update_todo import + execute case (type: todo_updated)
- llm.py: add list_tasks and update_todo to available actions + guidance
- intent.py: routing rules for mark-done/priority/due-date → update_note,
overdue/in-progress/high-priority queries → list_tasks, CalDAV todo updates
→ update_todo
- ToolCallCard.vue: tasks list block (linked titles + due + priority badges),
todo_updated label, tool-task-priority CSS classes
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Mistral didn't reliably use Ollama's structured tool calling API — it wrote
tool calls as JSON text instead of invoking them. This adds an intent routing
layer that classifies user intent via a fast non-streaming LLM call before
streaming, executing detected tools directly and bypassing native tool calling.
- Change default OLLAMA_MODEL from mistral to qwen3
- Add intent.py: classify_intent() with JSON parsing and fallback regex
- Integrate intent routing into generation_task.py round 0
- Add all-day event support (iCalendar DATE values) to CalDAV service
- Add recurring event support (RRULE) to CalDAV service and tool definition
- Improve create_event tool description for descriptive titles
- Enhance system prompt with structured tool usage guidance
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- CalDAV integration: per-user calendar config, create/list/search events
via caldav library, LLM tools for calendar operations from chat
- LLM-suggested tags: new tag_suggestions service prompts LLM with existing
tags and note content to suggest 3-5 relevant tags; exposed via API
endpoints (suggest-tags, append-tag); integrated into editor views
(suggest button + clickable pills) and chat tool calls (pills in
ToolCallCard with one-click apply)
- Settings/model UI refinements, generation task improvements
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Ollama tool/function calling integration allows the LLM to create tasks,
create notes, and search existing notes on behalf of the user during chat.
Multi-round tool loop (max 5 rounds) lets the model execute tools then
produce a natural language response. Tool results are persisted in a new
JSONB column on messages and rendered as compact cards with linked titles.
- Migration 0013: add tool_calls JSONB column to messages
- New services/tools.py: tool definitions + execute_tool dispatcher
- llm.py: ChatChunk dataclass, stream_chat_with_tools(), date in system prompt
- generation_task.py: multi-round tool call loop with SSE tool_call events
- Frontend: ToolCallRecord type, streamingToolCalls in store, ToolCallCard
component, rendering in ChatMessage and ChatView streaming bubble
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
bvandeusen
Bryan Van Deusen