- KnowledgeView: IntersectionObserver was watching the viewport instead
of the card-grid scroll container, causing infinite scroll to stop
loading after only ~29 items. Pass card-grid element as `root`.
- CalendarView: listen for 'fable:calendar-changed' custom event and
call refetchEvents() so tool-created events appear without navigation.
- ChatPanel: dispatch 'fable:calendar-changed' when create_event,
update_event, or delete_event tool calls succeed.
- tools.py: normalize naive datetimes to UTC before storing events so
timezone comparisons in list_events queries are always consistent.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds pick_num_ctx() which selects the smallest context window tier
(8192, 16384, 32768) that fits the current messages with 25% headroom,
capped at OLLAMA_NUM_CTX. Threads num_ctx through generation_task.py so
every chat request uses the computed tier rather than a fixed 16384.
Fixes a critical cache miss bug: KV cache priming in app.py and
settings.py was sending requests without num_ctx, so Ollama sized the
cache at its model default (different from the 16384 real requests used),
forcing a full model reload on the first real user message. Both priming
sites now call pick_num_ctx() and pass the matching value.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Removes verbose redundant text from tool descriptions and system prompt
guidance: multi-line recurrence_rule JSON examples, CAPS warnings that
duplicate system prompt instructions, and wordy descriptions that don't
add model understanding.
Saves ~990 tokens per request (~17% reduction, 5,639 → ~4,650 tokens),
reducing prefill time on cache misses and lowering KV memory pressure.
No functional changes — parameter names, types, enums, and required
fields are unchanged.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Exposes OLLAMA_BACKGROUND_MODEL as a per-user setting in General settings,
alongside the Chat Model selector. Includes an inline warning when the same
model is selected for both, explaining the KV cache performance impact.
All background task callers (title generation, tag suggestions, project
summaries, RSS classification) now read background_model from user settings,
falling back to OLLAMA_BACKGROUND_MODEL env var.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Background tasks (title generation, tag suggestions, project summaries,
RSS classification) were using qwen3:8b and wiping its KV cache after
every response, preventing prefix cache hits on subsequent user messages.
Adds OLLAMA_BACKGROUND_MODEL (default: qwen2.5:0.5b) config var and
routes all background LLM calls to it, keeping qwen3:8b's KV cache
warm between user messages for consistent sub-second TTFT.
Also adds infinite scroll to KnowledgeView (replaces load-more button)
and bakes spaCy en_core_web_sm into the Docker image to eliminate the
pip install on every startup.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
get_weather now returns 1 day by default (today) instead of a full 7-day
forecast. A new optional `days` parameter (1–8) lets the model request
more days when the user explicitly asks for a weekly forecast or specific
date range. Tool description updated to guide the model accordingly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- KnowledgeView minichat: render assistant messages through renderMarkdown
so headers, bold, lists etc. display correctly instead of raw markdown
- get_weather tool: read user's temp_unit from briefing_config and convert
temperatures to °F when preferred; also include temp_unit in the
returned payload so the model can label values correctly
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- KnowledgeView minichat: add margin-inline: auto so the widget centers
within the content area when max-width is reached on wide screens
- weather get_weather tool: return success: true on both the arbitrary
location path and the cached locations path so ToolCallCard shows
the correct success state instead of always flagging as error
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
RAG notes, RSS news, current note, URL content, and briefing articles
are now prepended to the user message rather than appended to the system
message. The system message now contains only stable content (persona,
tool guidance, date, profile, workspace, history summary), making its
token sequence identical across consecutive requests and allowing
Ollama's KV prefix cache to fire reliably every time.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Routes simple/conversational messages to think=false automatically,
even when the user has thinking enabled. Patterns checked: word count
thresholds, complexity keywords, code blocks, skip patterns for greetings
and simple CRUD. Workspace mode (think=true from frontend) still benefits
from the classifier on short messages.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
wait_for_model_loaded() polled /api/ps for up to 180s waiting for the
model to appear as loaded. But Ollama lazy-loads models on the first
/api/chat request, so the poll will never succeed — it just blocks for
the full 180s after every Ollama restart before proceeding.
Removed the wait entirely. Ollama handles on-demand loading correctly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Move static content (persona + tool guidance) to a fixed prefix and
append all dynamic content (date, timezone, profile, entities) as a tail.
Ollama prefix caching requires byte-for-byte token match from the start
of the prompt. Previously, Today's date + user profile were embedded
mid-prompt, invalidating the cache on every request/day and causing
~20s TTFT regardless of model warmth.
With this change the static prefix (~5500 tokens) should be cached
after the first request each session, reducing TTFT to ~2-5s for the
~200-token dynamic tail only.
Also removed inline user_timezone from tool_lines (timezone is now
stated once in the dynamic tail, which the model reads).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
KnowledgeView:
- Watch streamingToolCalls; call fetchItems+fetchTags on create/update
note or task so the card grid reflects changes made via the minichat
- Cap minichat to max-width: var(--page-max-width) so it matches chat column width
WorkspaceView + WorkspaceNoteEditor:
- Expose reload() from WorkspaceNoteEditor via defineExpose
- Call noteEditorRef.reload() alongside taskPanelRef.reload() when
create_note/update_note tools succeed in the SSE watcher
KnowledgeView list cards:
- Backend: parse markdown task list into list_items [{text, checked}] + body
- Card renders up to 6 items with real checkboxes; toggleListItem()
does an optimistic update then PATCHes /api/notes/:id
- Progress bar kept below items; "+N more" shown when list is long
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- KnowledgeView mini-chat: replace harsh border-top with upward box-shadow
and rounded top corners (16px); remove padding-bottom from content area
so widget truly overlays cards without pushing layout; add collapse
toggle (chevron) that hides messages without closing the conversation
- WeatherCard: show precip_mm as fallback when precipitation_probability_max
is null but actual rainfall is expected (Open-Meteo omits probability for
some forecast days even when rain is shown)
- Pass precip_mm through weather service → frontend type definitions
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
SQLAlchemy reserves 'metadata' as a class attribute on declarative models.
Renamed to 'entity_meta' with explicit column name 'metadata' so the DB
column is unchanged but the Python attribute no longer conflicts.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- On first load: model runs online (downloads .pt files), then stores the
current HF commit SHA to /data/kokoro_commit_hash.txt and switches the
process to offline mode (HF_HUB_OFFLINE) for all future requests
- On subsequent restarts: presence of the commit file triggers offline mode
before the pipeline loads, skipping all HuggingFace network validation
- Daily at 03:00 UTC: scheduler temporarily lifts offline mode, fetches the
latest commit SHA from HF, and only reloads the pipeline if the model has
actually changed — then restores offline mode
- Removed HF_HUB_OFFLINE from docker-compose.yml; behaviour is now automatic
and not a hoster/user concern
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- ChatView: listen mode toggle (auto-reads new responses via TTS), volume popup
with range slider persisted per-device in localStorage via GainNode
- useVoiceAudio: shared module-level _volume ref with localStorage persistence,
GainNode for volume control, exported setVoiceVolume()
- tts.py: pre-warm all Kokoro voices at pipeline load to eliminate HuggingFace
HEAD requests at synthesis time (reduces TTS latency)
- BriefingView: discuss article button now auto-sends instead of just filling input;
prompt capped to 15 sentences; send() accepts optional overrideText
- llm.py: instruct LLM not to proactively search notes or comment on note absence
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Fetch precipitation_probability_max from Open-Meteo (replaces precip_sum
in the card display — probability is more useful at a glance than mm)
- Show WMO condition description text on each forecast day
- Convert wind speed to mph when temp unit is F; pass wind_unit in response
- Display 💧 X% chance of rain; 💨 X mph/km/h wind per day
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- WeatherCard: show precipitation (mm) and max wind speed per forecast day
- DashboardChatInput: add PTT mic button (transcribe-to-input, voice-gated)
- Remove global VoiceOverlay floating button and Space PTT shortcut from
App.vue — inline mic buttons in chat/briefing/dashboard are the right UX;
global overlay had focus/latency/context issues
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add voice blend support to TTS pipeline and settings UI. Users can mix
2–5 Kokoro voices with per-voice weight sliders; the blended style tensor
replaces the single voice when enabled. Settings persist as JSON and auto-
load on synthesis when no explicit voice is supplied in the request.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add trafilatura + html2text to dependencies
- Replace custom HTMLStripper with html2text for RSS feed content
- Fetch full article text via httpx + trafilatura after each new item is stored;
falls back to RSS-provided content if fetch/extraction fails
- Raise CONTENT_MAX_CHARS from 2000 to 50000 (TEXT column, no migration needed)
- Re-embed items with full article content once enrichment completes
- Startup backfill enriches existing items with short content (<1000 chars)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
feedparser returns HTML in content/summary fields for many feeds.
Raw tags were being stored in the DB and passed to the LLM/embeddings.
Added a stdlib HTMLParser-based stripper in extract_item() — block elements
become newlines, script/style content is dropped, plain text passes through.
No new dependencies required.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Embed RSS items at fetch time (nomic-embed-text); backfill at startup
- Semantic news search injected into chat system prompt ("Recent News You've Seen")
when items match query above 0.55 cosine threshold (independent of note RAG)
- "Discuss in chat" button on news cards — creates a seeded conversation with
the article title + full content, navigates directly to the new chat
- Briefing compilation now passes 500-char article excerpts (not just headlines)
to the LLM and uses 8192 num_ctx to accommodate the larger prompt
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replaces the freeform briefing-profile note with a DB-backed user_profiles
table. Users can edit job/industry/expertise/response preferences/interests/
work schedule via a new Settings → Profile tab. The LLM appends nightly
observations; at 14+ entries they are auto-consolidated into a learned_summary.
Profile context is injected into both briefing and chat system prompts.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace two-pass structured LLM synthesis (## Your Day / ## The World
sections with bullets and formatted news cards) with a single
conversational pass. The new prompt instructs the model to write 3-5
flowing sentences covering weather, today's tasks/events, and 1-2 news
highlights — no markdown, no headers, no lists. Full news detail stays
in the right panel; weather detail stays in the weather card.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Prevents models from sitting in VRAM indefinitely. Applies to both
streaming chat calls and the non-streaming generate_completion path,
as well as the startup warm-up request.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Voice enabled/STT model are now DB-backed (admin settings), not env
vars. Added reload_stt_model()/reload_tts_model() that clear singletons
under lock and re-trigger loading. POST /api/admin/voice/reload triggers
both in background tasks. Settings UI polls /api/voice/status every 2.5s
until models are ready, with spinner feedback.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace VOICE_ENABLED env var gate with DB-backed admin setting.
- services/voice_config.py: reads voice_enabled + voice_stt_model from
admin user's settings row (falls back to env var defaults)
- routes/admin.py: GET/PUT /api/admin/voice for admin configuration
- routes/voice.py, services/stt.py, services/tts.py: read enabled/model
from DB via voice_config instead of Config directly
- app.py: always schedule model loaders at startup; they self-gate on
the DB setting so no conditional needed at the call site
- SettingsView.vue: Voice section in Admin → Config tab (enable toggle +
STT model dropdown); user Voice tab now points to admin panel when disabled
No env var required to test — enable via Settings → Admin → Config → Voice.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
create_project and create_milestone hardcoded status="active" and
ignored any value passed by the MCP or API callers. Route, service,
and model construction now all thread the status field through.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add _build_briefing_article_context() helper to llm.py that reads
rss_item_ids from briefing message metadata and injects article content
into the system prompt. Pass conv_id through build_context() and
generation_task.py.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Previously metadata only stored rss_item_ids (integers); the full item data
was discarded after LLM synthesis. Now rss_items (id, title, url, source,
snippet, published_at) is also stored so clients can render per-story cards
without additional API calls.
Web BriefingView: replaces bare reaction-row buttons with news cards showing
source, headline (linked), 2-line snippet, and 👍/👎 per card.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add parse_pagination() to routes/utils.py; replace 6 duplicate limit/offset extractions in notes, tasks, chat, projects, milestones routes
- Extract _enrich_shares() in sharing.py; eliminates identical 12-line loop in list_project_shares and list_note_shares
- Extract _deduplicate_by_permission() in sharing.py; eliminates identical deduplication blocks in list_shared_with_me for projects and notes
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The briefing was formatting event start_dt directly in UTC instead of
converting to the user's local timezone. Also, the day_start/day_end
query window was naive (UTC), so events at the edges of the user's day
could be missed or included incorrectly.
Now reads user_timezone setting, uses it for today's date boundary and
for converting each event's start_dt before formatting.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Browser timezone is now synced to user_settings["user_timezone"] on
every login/page load (App.vue). The briefing scheduler and LLM context
both read from this single source, falling back to the legacy
briefing_config.timezone for existing users during migration.
- App.vue: PUT /api/settings with browser IANA timezone on startAppServices
- routes/chat.py: fall back to stored user_timezone when not sent in request
- briefing_scheduler: read user_timezone setting; briefing_config.timezone
kept as fallback only
- routes/briefing.py: pass tz_override from user_timezone to live-patched scheduler
- Remove timezone field from BriefingConfig interface and all briefing UI
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Frontend sends user_timezone (IANA, from Intl.DateTimeFormat) with
every message POST; threaded through route → generation_task → build_context
- System prompt now tells the LLM the user's timezone so it creates
events with the correct UTC offset (e.g. 15:00+01:00 not 15:00Z)
- Calendar tool guidance updated to require UTC offset in all event
datetimes
- EventSlideOver: dateFromIso/timeFromIso now use JS Date to convert
stored UTC times to local time for display; toIso includes local
timezone offset when saving so the correct UTC time is stored
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- ToolCallCard: event list items replaced with rich clickable cards (color dot,
title, time, location); clicking opens EventSlideOver for edit/delete; single
create/update events in header are also clickable; updated all event types to
use start_dt/end_dt fields from internal store
- HomeView: new upcoming events widget shows today + next 7 days as a card grid
above the hero project; clicking any card opens EventSlideOver inline
- briefing_pipeline: _gather_internal now queries the internal events store for
today's events; CalDAV events are still appended (deduped) if configured
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
bvandeusen