Release v26.04.06.1 — Article reading, quick capture rewrite, settings consistency

.forgejo/workflows/ci.yml

@@ -121,6 +121,14 @@ jobs:
           echo "value=$TAGS" >> $GITHUB_OUTPUT
           echo "build_version=$BUILD_VERSION" >> $GITHUB_OUTPUT
 
+      - name: Free disk space
+        run: |
+          # Remove all unused images (including old :SHA tags) and containers.
+          docker system prune -af || true
+          # Keep the local BuildKit cache bounded so pip mount cache survives
+          # but stale intermediate layers don't accumulate indefinitely.
+          docker builder prune --keep-storage 5g -f || true
+
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v4
 
@@ -136,5 +144,6 @@ jobs:
         with:
           context: .
           push: true
+          provenance: false
           tags: ${{ steps.tags.outputs.value }}
           build-args: BUILD_VERSION=${{ steps.tags.outputs.build_version }}

.remember/tmp/save-session.pid

@@ -0,0 +1 @@
+2298268

Dockerfile

@@ -1,3 +1,4 @@
+# syntax=docker/dockerfile:1
 # Stage 1: Build Vue frontend
 FROM node:22-alpine AS build-frontend
 WORKDIR /build
@@ -12,14 +13,22 @@ WORKDIR /app
 
 COPY pyproject.toml .
 COPY src/ src/
-RUN pip install --no-cache-dir .
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install .
+# Voice dependencies (faster-whisper, Kokoro TTS, soundfile) — activated at runtime via VOICE_ENABLED
+# Install CPU-only torch first so pip doesn't pull full CUDA wheels (~2 GB) for kokoro/transformers.
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install torch --index-url https://download.pytorch.org/whl/cpu \
+    && pip install faster-whisper kokoro soundfile \
+    && python -m spacy download en_core_web_sm
 
 # Build the fable-mcp wheel so it can be served for download
 COPY fable-mcp/ fable-mcp/
-RUN pip install --no-cache-dir build hatchling \
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install build hatchling \
     && python -m build --wheel ./fable-mcp --outdir /app/dist/ \
     && pip uninstall -y build \
-    && rm -rf fable-mcp/ /root/.cache/pip
+    && rm -rf fable-mcp/
 
 COPY --from=build-frontend /build/dist/ src/fabledassistant/static/
 COPY alembic.ini .

alembic/versions/0034_add_user_profiles.py

@@ -0,0 +1,53 @@
+"""Add user_profiles table for structured per-user preferences."""
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects.postgresql import ARRAY, JSONB
+
+revision = "0034"
+down_revision = "0033"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "user_profiles",
+        sa.Column("id", sa.Integer(), primary_key=True),
+        sa.Column(
+            "user_id",
+            sa.Integer(),
+            sa.ForeignKey("users.id", ondelete="CASCADE"),
+            nullable=False,
+            unique=True,
+        ),
+        sa.Column("display_name", sa.Text(), nullable=True),
+        sa.Column("job_title", sa.Text(), nullable=True),
+        sa.Column("industry", sa.Text(), nullable=True),
+        sa.Column("expertise_level", sa.Text(), nullable=True),
+        sa.Column("response_style", sa.Text(), nullable=True),
+        sa.Column("tone", sa.Text(), nullable=True),
+        sa.Column("interests", ARRAY(sa.Text()), nullable=True),
+        sa.Column("work_schedule", JSONB(), nullable=True),
+        sa.Column("learned_summary", sa.Text(), nullable=True),
+        sa.Column("observations_raw", JSONB(), nullable=True),
+        sa.Column("observations_updated_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column(
+            "created_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.func.now(),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.func.now(),
+            nullable=False,
+        ),
+    )
+    op.create_index("ix_user_profiles_user_id", "user_profiles", ["user_id"], unique=True)
+
+
+def downgrade() -> None:
+    op.drop_index("ix_user_profiles_user_id", table_name="user_profiles")
+    op.drop_table("user_profiles")

alembic/versions/0035_add_rss_item_embeddings.py

@@ -0,0 +1,28 @@
+"""Add rss_item_embeddings table for semantic news search."""
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects.postgresql import JSONB
+
+revision = "0035"
+down_revision = "0034"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "rss_item_embeddings",
+        sa.Column("rss_item_id", sa.Integer(), sa.ForeignKey("rss_items.id", ondelete="CASCADE"), primary_key=True),
+        sa.Column("user_id", sa.Integer(), nullable=False),
+        sa.Column("embedding", JSONB(), nullable=False),
+        sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
+    )
+    op.create_index("ix_rss_item_embeddings_user_id", "rss_item_embeddings", ["user_id"])
+    op.create_index("ix_rss_item_embeddings_rss_item_id", "rss_item_embeddings", ["rss_item_id"])
+
+
+def downgrade() -> None:
+    op.drop_index("ix_rss_item_embeddings_rss_item_id", table_name="rss_item_embeddings")
+    op.drop_index("ix_rss_item_embeddings_user_id", table_name="rss_item_embeddings")
+    op.drop_table("rss_item_embeddings")

alembic/versions/0036_add_note_type_and_metadata.py

@@ -0,0 +1,28 @@
+"""Add note_type and metadata columns to notes table for entity types."""
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects.postgresql import JSONB
+
+revision = "0036"
+down_revision = "0035"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "notes",
+        sa.Column("note_type", sa.Text(), nullable=False, server_default="note"),
+    )
+    op.add_column(
+        "notes",
+        sa.Column("metadata", JSONB(), nullable=True),
+    )
+    op.create_index("ix_notes_note_type", "notes", ["note_type"])
+
+
+def downgrade() -> None:
+    op.drop_index("ix_notes_note_type", table_name="notes")
+    op.drop_column("notes", "metadata")
+    op.drop_column("notes", "note_type")

alembic/versions/0037_add_event_reminders.py

@@ -0,0 +1,29 @@
+"""Add reminder_minutes and reminder_sent_at to events.
+
+Revision ID: 0037
+Revises: 0036
+Create Date: 2026-04-04
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0037"
+down_revision = "0036"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column("events", sa.Column("reminder_minutes", sa.Integer(), nullable=True))
+    op.add_column(
+        "events",
+        sa.Column("reminder_sent_at", sa.DateTime(timezone=True), nullable=True),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("events", "reminder_sent_at")
+    op.drop_column("events", "reminder_minutes")

docker-compose.yml

@@ -15,7 +15,7 @@ services:
     environment:
       DATABASE_URL: "postgresql+asyncpg://${POSTGRES_USER:-fabled}:${POSTGRES_PASSWORD:-fabled}@db:5432/${POSTGRES_DB:-fabledassistant}"
       OLLAMA_URL: "http://ollama:11434"
-      OLLAMA_MODEL: "${OLLAMA_MODEL:-llama3.1}"
+      OLLAMA_MODEL: "${OLLAMA_MODEL:-qwen3:8B}"
       SECRET_KEY: "${SECRET_KEY:-dev-secret-change-me}"
       # Uncomment and set to enable web research and image search via SearXNG:
       # SEARXNG_URL: "http://searxng:8080"

docs/2026-03-29-voice-s2s-design.md

@@ -0,0 +1,200 @@
+# Speech-to-Speech (S2S) Design Spec
+
+**Branch:** `feature/voice-s2s`
+**Date:** 2026-03-29
+**Status:** Approved for implementation
+
+---
+
+## Decisions
+
+- **STT:** faster-whisper (in-process Python, model size configurable via `STT_MODEL` env var)
+- **TTS:** Kokoro TTS (in-process Python, voice/speed/style configurable per-user)
+- **Input mode:** Push-to-talk (Phase 1); VAD deferred
+- **No browser STT/TTS fallbacks** — self-hosted only, data stays on-server
+- **No Android app** — web only for this implementation
+
+---
+
+## New Env Vars (`config.py`)
+
+| Var | Default | Description |
+|---|---|---|
+| `VOICE_ENABLED` | `false` | Feature flag — opt-in |
+| `STT_BACKEND` | `faster-whisper` | Only supported value currently |
+| `STT_MODEL` | `base.en` | `tiny.en` / `base.en` / `small.en` / `medium.en` |
+| `TTS_BACKEND` | `kokoro` | Only supported value currently |
+
+---
+
+## Per-User Settings (stored in `settings` table)
+
+| Key | Default | Description |
+|---|---|---|
+| `voice_tts_voice` | `af_heart` | Kokoro voice ID |
+| `voice_tts_speed` | `1.0` | Speech rate, 0.7–1.3 |
+| `voice_speech_style` | `conversational` | `conversational` / `concise` / `detailed` |
+
+---
+
+## New Backend Files
+
+### `src/fabledassistant/services/stt.py`
+Lazy singleton `WhisperModel` loader. Public API:
+- `load_stt_model()` — called at startup via `asyncio.create_task`
+- `transcribe(audio_bytes, mime_type) -> str` — runs in `run_in_executor`; writes bytes to `NamedTemporaryFile`, returns concatenated segment text
+- `stt_available() -> bool`
+
+### `src/fabledassistant/services/tts.py`
+Lazy singleton `KPipeline` loader. Public API:
+- `load_tts_model()` — called at startup
+- `synthesise(text, voice, speed) -> bytes` — runs in `run_in_executor`; returns WAV bytes (24kHz, 16-bit mono)
+- `list_voices() -> list[dict]` — returns static list of known Kokoro voice IDs + labels
+- `tts_available() -> bool`
+
+### `src/fabledassistant/routes/voice.py`
+Blueprint at `/api/voice`, all routes `@login_required`.
+
+| Endpoint | Method | Description |
+|---|---|---|
+| `/api/voice/status` | GET | STT/TTS availability; `enabled` false if `VOICE_ENABLED=false` |
+| `/api/voice/voices` | GET | List available Kokoro voices |
+| `/api/voice/transcribe` | POST | multipart `audio` field → `{"transcript": "...", "duration_ms": 123}` |
+| `/api/voice/synthesise` | POST | `{"text", "voice", "speed"}` → WAV bytes |
+
+---
+
+## Modified Backend Files
+
+### `src/fabledassistant/app.py`
+- Register `voice_bp` blueprint
+- In `startup()`: `asyncio.create_task(load_stt_model())` + `asyncio.create_task(load_tts_model())` when `VOICE_ENABLED`
+
+### `src/fabledassistant/config.py`
+- Add 4 new env var attributes
+- Add validation in `validate()`
+
+### `src/fabledassistant/services/llm.py`
+- Add `voice_mode: bool = False` and `voice_speech_style: str = "conversational"` to `build_context()`
+- When `voice_mode=True`, prepend: *"Respond naturally as if speaking aloud. No markdown, bullet points, headers, or code blocks. Complete sentences only."*
+- Append style modifier based on `voice_speech_style`
+
+### `src/fabledassistant/services/generation_task.py`
+- Add `voice_mode: bool = False` to `run_generation()`
+- Read `voice_speech_style` from settings when voice_mode; pass both to `build_context()`
+
+### `src/fabledassistant/routes/chat.py`
+- Allow `"voice"` in `conversation_type` whitelist
+
+### `src/fabledassistant/services/chat.py`
+- Exclude `conversation_type == "voice"` from auto-cleanup retention
+
+---
+
+## New Frontend Files
+
+### `frontend/src/composables/useVoiceRecorder.ts`
+Wraps `MediaRecorder`. Exports: `recording`, `error`, `isSupported`, `startRecording()`, `stopRecording() -> Promise<Blob>`.
+
+### `frontend/src/composables/useVoiceAudio.ts`
+Wraps `AudioContext`. Exports: `playing`, `isSupported`, `play(blob)`, `stop()`.
+
+### `frontend/src/components/VoiceOverlay.vue`
+Floating PTT button (fixed bottom-right). Creates/reuses a `"voice"` conversation. Full flow: record → transcribe → send → stream → synthesise → play. Space bar hotkey (from `App.vue`). Mounted globally in `App.vue`.
+
+---
+
+## Modified Frontend Files
+
+### `frontend/src/api/client.ts`
+Add: `transcribeAudio(blob)`, `synthesiseSpeech(text, voice?, speed?)`, `getVoiceStatus()`, `getVoiceList()`
+
+### `frontend/src/views/BriefingView.vue`
+- "Listen" button: reads latest assistant message aloud via TTS
+- Mic button in input bar: PTT → transcribe → auto-fill input → send
+- Auto-TTS on assistant response when in listen mode
+
+### `frontend/src/views/SettingsView.vue`
+- New "Voice" tab: voice dropdown, speed slider, speech style radio
+- Loads from `/api/settings`, saves via `PUT /api/settings`
+
+### `frontend/src/App.vue`
+- Mount `<VoiceOverlay />`
+- Space bar → `"voice:ptt-toggle"` custom event
+
+---
+
+## Audio Format
+
+| Direction | Format | Rationale |
+|---|---|---|
+| Browser → Server | WebM/Opus | Native `MediaRecorder` output; no re-encoding |
+| Server → Browser | WAV (24kHz, 16-bit mono) | Kokoro native; no re-encoding; `decodeAudioData` compatible |
+
+---
+
+## Dependencies to Add (`pyproject.toml`)
+
+```toml
+[project.optional-dependencies]
+voice = [
+    "faster-whisper>=1.0",
+    "kokoro>=0.9",
+    "soundfile>=0.12",
+]
+```
+
+Install unconditionally in Docker (activated by `VOICE_ENABLED` at runtime):
+```dockerfile
+RUN pip install faster-whisper kokoro soundfile
+```
+
+---
+
+## Database Migration
+
+No schema changes required. `conversation_type` is unconstrained TEXT. Voice settings use existing key-value `settings` table. Optional no-op migration `0034_voice_conversation_type.py` for audit trail.
+
+---
+
+## Implementation Phases
+
+### Phase 1 — Backend services + routes
+1. Add env vars to `config.py`
+2. Create `services/stt.py` (faster-whisper)
+3. Create `services/tts.py` (Kokoro)
+4. Create `routes/voice.py` (4 endpoints)
+5. Wire model loading into `app.py` startup
+6. Add `voice_mode` to `build_context()` + `run_generation()`
+7. Allow `"voice"` conversation type in chat route + cleanup exclusion
+
+### Phase 2 — BriefingView listen + voice follow-up
+1. Create `useVoiceRecorder.ts`
+2. Create `useVoiceAudio.ts`
+3. Add voice API functions to `client.ts`
+4. Add "Listen" button + mic button to `BriefingView.vue`
+
+### Phase 3 — VoiceOverlay for general voice chat
+1. Create `VoiceOverlay.vue`
+2. Mount in `App.vue` + Space bar hotkey
+
+### Phase 4 — Settings UI
+1. Add "Voice" tab to `SettingsView.vue`
+
+---
+
+## Kokoro Voice Reference
+
+| ID | Character |
+|---|---|
+| `af_heart` | American female, warm (recommended default) |
+| `af_bella` | American female, expressive |
+| `af_nicole` | American female, breathy/intimate |
+| `af_sarah` | American female, clear |
+| `af_sky` | American female, bright |
+| `am_adam` | American male, neutral |
+| `am_michael` | American male, deeper |
+| `bf_emma` | British female |
+| `bf_isabella` | British female, formal |
+| `bm_george` | British male |
+| `bm_lewis` | British male, casual |

docs/superpowers/plans/2026-04-03-streaming-tts.md

@@ -0,0 +1,594 @@
+# Streaming TTS Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Start playing TTS audio during LLM generation by splitting responses into sentences and synthesizing each sentence as it completes, rather than waiting for the full response.
+
+**Architecture:** A new `useStreamingTts` composable watches `streamingContent` for sentence boundaries, fires per-sentence `synthesiseSpeech` requests concurrently, and plays audio in strict insertion order using `useVoiceAudio`. ChatView, BriefingView, and WorkspaceView all use this composable, replacing their current post-stream speak logic.
+
+**Tech Stack:** Vue 3 Composition API, TypeScript, `useVoiceAudio` (existing), `synthesiseSpeech` from `api/client.ts` (existing), no backend changes.
+
+---
+
+## File Map
+
+| Action | File | Responsibility |
+|--------|------|----------------|
+| **Create** | `frontend/src/composables/useStreamingTts.ts` | All streaming TTS logic: sentence splitting, TTS queuing, ordered playback |
+| **Modify** | `frontend/src/views/ChatView.vue` | Replace `speakLastAssistantMessage` + old watch with `useStreamingTts` |
+| **Modify** | `frontend/src/views/BriefingView.vue` | Replace `speakText` + `listenToLatest` + old watch with `useStreamingTts` |
+| **Modify** | `frontend/src/views/WorkspaceView.vue` | Add listen mode toggle button + `useStreamingTts` |
+
+---
+
+## Task 1: Create `useStreamingTts` composable
+
+**Files:**
+- Create: `frontend/src/composables/useStreamingTts.ts`
+
+- [ ] **Step 1: Create the composable**
+
+Create `frontend/src/composables/useStreamingTts.ts` with the full implementation:
+
+```typescript
+import { ref, watch, computed } from 'vue'
+import type { Ref, ComputedRef } from 'vue'
+import { synthesiseSpeech } from '@/api/client'
+import { useVoiceAudio } from '@/composables/useVoiceAudio'
+
+/** Minimum stripped character count to bother synthesizing. */
+const MIN_CHARS = 3
+
+/** Matches sentence-terminal punctuation followed by whitespace or end-of-string. */
+const SENTENCE_BOUNDARY = /[.!?]+(?=\s|$)/
+
+function stripMarkdown(text: string): string {
+  return text
+    .replace(/```[\s\S]*?```/g, '')
+    .replace(/`[^`]+`/g, (m) => m.slice(1, -1))
+    .replace(/#{1,6}\s+/g, '')
+    .replace(/\*\*([^*]+)\*\*/g, '$1')
+    .replace(/\*([^*]+)\*/g, '$1')
+    .replace(/\[([^\]]+)\]\([^)]+\)/g, '$1')
+    .replace(/^\s*[-*+]\s+/gm, '')
+    .replace(/\n{2,}/g, ' ')
+    .trim()
+}
+
+/**
+ * Extract completed sentences from `text` using SENTENCE_BOUNDARY.
+ * Returns the sentences found and the unconsumed remainder.
+ */
+function extractSentences(text: string): { sentences: string[]; remainder: string } {
+  const sentences: string[] = []
+  let remaining = text
+  let match: RegExpExecArray | null
+
+  while ((match = SENTENCE_BOUNDARY.exec(remaining)) !== null) {
+    const boundary = match.index + match[0].length
+    const sentence = remaining.slice(0, boundary).trim()
+    if (sentence) sentences.push(sentence)
+    remaining = remaining.slice(boundary)
+  }
+
+  return { sentences, remainder: remaining }
+}
+
+export interface UseStreamingTtsOptions {
+  streamingContent: Ref<string> | ComputedRef<string>
+  streaming: Ref<boolean> | ComputedRef<boolean>
+  enabled: Ref<boolean> | ComputedRef<boolean>
+}
+
+export interface UseStreamingTtsReturn {
+  /** True while any synthesis request is in-flight or audio is playing. */
+  speaking: ComputedRef<boolean>
+  /** Cancel all in-flight synthesis/playback and clear the queue. */
+  stop: () => void
+}
+
+export function useStreamingTts(options: UseStreamingTtsOptions): UseStreamingTtsReturn {
+  const { streamingContent, streaming, enabled } = options
+  const audio = useVoiceAudio()
+
+  let sentenceBuffer = ''
+  let lastSeenLength = 0
+  let abortId = 0
+  let playQueue: Promise<void> = Promise.resolve()
+  const pendingCount = ref(0)
+
+  const speaking = computed(() => pendingCount.value > 0 || audio.playing.value)
+
+  function stop(): void {
+    abortId++
+    sentenceBuffer = ''
+    lastSeenLength = 0
+    playQueue = Promise.resolve()
+    audio.stop()
+    pendingCount.value = 0
+  }
+
+  async function enqueueSentence(sentence: string, myAbortId: number): Promise<void> {
+    const stripped = stripMarkdown(sentence)
+    if (stripped.length < MIN_CHARS) return
+
+    pendingCount.value++
+    let blob: Blob | null = null
+    try {
+      blob = await synthesiseSpeech(stripped)
+    } catch (e) {
+      console.warn('[StreamingTTS] Synthesis failed, retrying sentence', { sentence: stripped, error: e })
+      try {
+        blob = await synthesiseSpeech(stripped)
+      } catch (e2) {
+        console.warn('[StreamingTTS] Retry also failed, skipping sentence', { sentence: stripped, error: e2 })
+      }
+    } finally {
+      pendingCount.value--
+    }
+
+    if (!blob) return
+
+    // Capture blob for the closure — TS can't narrow after async gap
+    const resolvedBlob = blob
+    playQueue = playQueue.then(async () => {
+      if (abortId !== myAbortId) return
+      await audio.play(resolvedBlob)
+    })
+  }
+
+  function dispatchBuffer(flush: boolean): void {
+    if (!enabled.value) return
+    const myAbortId = abortId
+    const { sentences, remainder } = extractSentences(sentenceBuffer)
+    sentenceBuffer = flush ? '' : remainder
+    for (const sentence of sentences) {
+      enqueueSentence(sentence, myAbortId)
+    }
+    if (flush && remainder.trim().length >= MIN_CHARS) {
+      enqueueSentence(remainder.trim(), myAbortId)
+    }
+  }
+
+  // Watch accumulating content — extract new characters since last check
+  watch(streamingContent, (newContent) => {
+    if (!enabled.value) return
+    const delta = newContent.slice(lastSeenLength)
+    lastSeenLength = newContent.length
+    sentenceBuffer += delta
+    dispatchBuffer(false)
+  })
+
+  // Watch streaming flag — stop on new message start, flush on end
+  watch(streaming, (isStreaming) => {
+    if (!enabled.value) return
+    if (isStreaming) {
+      // New message starting — cancel previous response's audio
+      stop()
+    } else {
+      // Stream ended — flush any remaining fragment
+      dispatchBuffer(true)
+      lastSeenLength = 0
+    }
+  })
+
+  return { speaking, stop }
+}
+```
+
+- [ ] **Step 2: TypeScript check**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant/frontend
+npx vue-tsc --noEmit 2>&1 | head -40
+```
+
+Expected: no errors mentioning `useStreamingTts.ts`.
+
+- [ ] **Step 3: Commit**
+
+```bash
+git add frontend/src/composables/useStreamingTts.ts
+git commit -m "feat(tts): add useStreamingTts composable for sentence-level streaming"
+```
+
+---
+
+## Task 2: Update ChatView
+
+**Files:**
+- Modify: `frontend/src/views/ChatView.vue`
+
+Current TTS code to remove (lines ~35–66):
+
+```typescript
+// REMOVE these:
+const synthesising = ref(false);
+
+async function speakLastAssistantMessage() { ... }  // entire function
+
+watch(() => store.streaming, async (streaming) => {
+  if (!streaming && listenMode.value && voiceTtsEnabled.value) {
+    await new Promise((r) => setTimeout(r, 200));
+    await speakLastAssistantMessage();
+  }
+});
+```
+
+Also remove the `synthesiseSpeech` import from `@/api/client` (it is no longer called directly in this file).
+
+- [ ] **Step 1: Add import and replace TTS logic**
+
+In `frontend/src/views/ChatView.vue`:
+
+1. Add to imports at the top of `<script setup>`:
+```typescript
+import { useStreamingTts } from "@/composables/useStreamingTts";
+```
+
+2. Remove `synthesiseSpeech` from the `@/api/client` import line (keep other imports like `apiGet`, `transcribeAudio`).
+
+3. Remove `const synthesising = ref(false);` (line ~35).
+
+4. Remove the entire `speakLastAssistantMessage` function (lines ~38–59).
+
+5. Remove the `watch(() => store.streaming, ...)` block that called `speakLastAssistantMessage` (lines ~61–66).
+
+6. Add after `const listenMode = useListenMode();`:
+```typescript
+const tts = useStreamingTts({
+  streamingContent: computed(() => store.streamingContent),
+  streaming: computed(() => store.streaming),
+  enabled: computed(() => listenMode.value && voiceTtsEnabled.value),
+});
+```
+
+- [ ] **Step 2: Update template references**
+
+In the ChatView template, replace every occurrence of `synthesising` with `tts.speaking.value`:
+
+Find (line ~919):
+```html
+:class="{ 'btn-listen--active': listenMode, 'btn-listen--busy': synthesising || audio.playing.value }"
+```
+Replace with:
+```html
+:class="{ 'btn-listen--active': listenMode, 'btn-listen--busy': tts.speaking.value }"
+```
+
+Find (line ~920):
+```html
+@click="listenMode = !listenMode; if (listenMode) speakLastAssistantMessage()"
+```
+Replace with:
+```html
+@click="listenMode = !listenMode; if (!listenMode) tts.stop()"
+```
+
+Find (line ~924):
+```html
+<svg v-if="!synthesising && !audio.playing.value" ...>
+```
+Replace with:
+```html
+<svg v-if="!tts.speaking.value" ...>
+```
+
+Note: the `audio` variable (`useVoiceAudio()`) is still used for the volume slider and PTT stop — do NOT remove it.
+
+- [ ] **Step 3: TypeScript check**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant/frontend
+npx vue-tsc --noEmit 2>&1 | head -40
+```
+
+Expected: no errors.
+
+- [ ] **Step 4: Commit**
+
+```bash
+git add frontend/src/views/ChatView.vue
+git commit -m "feat(tts): wire useStreamingTts into ChatView"
+```
+
+---
+
+## Task 3: Update BriefingView
+
+**Files:**
+- Modify: `frontend/src/views/BriefingView.vue`
+
+Current TTS code to remove:
+
+```typescript
+// REMOVE:
+const synthesising = ref(false)
+
+async function speakText(text: string) { ... }       // entire function
+async function listenToLatest() { ... }              // entire function
+
+// REMOVE this watch block (the TTS one — keep the other streaming watch):
+watch(() => chatStore.streaming, async (streaming) => {
+  if (!streaming && listenMode.value && voiceTtsEnabled.value) {
+    await new Promise((r) => setTimeout(r, 200))
+    await listenToLatest()
+  }
+})
+```
+
+Note: BriefingView has **two** `watch(() => chatStore.streaming, ...)` blocks. Keep the first one (lines ~152–156, which refreshes messages). Remove only the TTS one (lines ~327–332).
+
+Also remove the `synthesiseSpeech` import from `@/api/client`.
+
+- [ ] **Step 1: Add import and replace TTS logic**
+
+In `frontend/src/views/BriefingView.vue`:
+
+1. Add to imports:
+```typescript
+import { useStreamingTts } from '@/composables/useStreamingTts'
+```
+
+2. Remove `synthesiseSpeech` from the `@/api/client` import line.
+
+3. Remove `const synthesising = ref(false)`.
+
+4. Remove the entire `speakText` function.
+
+5. Remove the entire `listenToLatest` function.
+
+6. Remove the TTS `watch(() => chatStore.streaming, ...)` block (the one that calls `listenToLatest`).
+
+7. Add after `const listenMode = useListenMode()`:
+```typescript
+const tts = useStreamingTts({
+  streamingContent: computed(() => chatStore.streamingContent),
+  streaming: computed(() => chatStore.streaming),
+  enabled: computed(() => listenMode.value && voiceTtsEnabled.value),
+})
+```
+
+- [ ] **Step 2: Update template references**
+
+Find the listen toggle button in the template. Replace `synthesising` references:
+
+```html
+<!-- Before -->
+:class="{ 'btn-icon-active': listenMode, 'btn-icon-busy': synthesising || audio.playing.value }"
+@click="listenMode ? (listenMode = false) : (listenMode = true, listenToLatest())"
+
+<!-- After -->
+:class="{ 'btn-icon-active': listenMode, 'btn-icon-busy': tts.speaking.value }"
+@click="listenMode = !listenMode; if (!listenMode) tts.stop()"
+```
+
+Find the stop button:
+```html
+<!-- Before -->
+v-if="voiceTtsEnabled && (synthesising || audio.playing.value)"
+@click="audio.stop(); synthesising = false"
+
+<!-- After -->
+v-if="voiceTtsEnabled && tts.speaking.value"
+@click="tts.stop()"
+```
+
+Find the spinner SVG condition:
+```html
+<!-- Before -->
+<svg v-if="!synthesising && !audio.playing.value" ...>
+
+<!-- After -->
+<svg v-if="!tts.speaking.value" ...>
+```
+
+- [ ] **Step 3: TypeScript check**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant/frontend
+npx vue-tsc --noEmit 2>&1 | head -40
+```
+
+Expected: no errors.
+
+- [ ] **Step 4: Commit**
+
+```bash
+git add frontend/src/views/BriefingView.vue
+git commit -m "feat(tts): wire useStreamingTts into BriefingView"
+```
+
+---
+
+## Task 4: Add streaming TTS to WorkspaceView
+
+**Files:**
+- Modify: `frontend/src/views/WorkspaceView.vue`
+
+WorkspaceView has no TTS today. We add: listen mode toggle, `useStreamingTts`, and the listen button in the chat input toolbar.
+
+- [ ] **Step 1: Add imports and composable**
+
+In `frontend/src/views/WorkspaceView.vue`, add to the import block at the top of `<script setup>`:
+
+```typescript
+import { useListenMode } from '@/composables/useListenMode'
+import { useStreamingTts } from '@/composables/useStreamingTts'
+import { useVoiceAudio } from '@/composables/useVoiceAudio'
+```
+
+After the existing store setup code (after `const settingsStore = useSettingsStore()`), add:
+
+```typescript
+const listenMode = useListenMode()
+const voiceTtsEnabled = computed(() => settingsStore.voiceTtsReady)
+const audio = useVoiceAudio()
+const tts = useStreamingTts({
+  streamingContent: computed(() => chatStore.streamingContent),
+  streaming: computed(() => chatStore.streaming),
+  enabled: computed(() => listenMode.value && voiceTtsEnabled.value),
+})
+```
+
+- [ ] **Step 2: Add listen mode button to template**
+
+In the `<div class="chat-input-area">` section (around line 365), add the listen button before the abort/send button:
+
+```html
+<div class="chat-input-area">
+  <textarea
+    ref="inputEl"
+    v-model="messageInput"
+    class="chat-input"
+    :placeholder="chatStore.streaming ? 'Type to queue next message… (Enter to queue)' : 'Message the agent… (Enter to send)'"
+    rows="1"
+    @keydown="onInputKeydown"
+    @input="autoResize"
+  ></textarea>
+  <!-- Listen mode toggle (TTS) -->
+  <button
+    v-if="voiceTtsEnabled"
+    class="btn-listen-ws"
+    :class="{ 'btn-listen-ws--active': listenMode, 'btn-listen-ws--busy': tts.speaking.value }"
+    :title="listenMode ? 'Stop auto-read' : 'Read responses aloud'"
+    aria-label="Toggle listen mode"
+    @click="listenMode = !listenMode; if (!listenMode) tts.stop()"
+  >
+    <svg v-if="!tts.speaking.value" width="16" height="16" viewBox="0 0 24 24" fill="currentColor">
+      <path d="M3 9v6h4l5 5V4L7 9H3zm13.5 3c0-1.77-1.02-3.29-2.5-4.03v8.05c1.48-.73 2.5-2.25 2.5-4.02zM14 3.23v2.06c2.89.86 5 3.54 5 6.71s-2.11 5.85-5 6.71v2.06c4.01-.91 7-4.49 7-8.77s-2.99-7.86-7-8.77z"/>
+    </svg>
+    <svg v-else width="16" height="16" viewBox="0 0 24 24" fill="currentColor">
+      <path d="M18 12c0-1.77-1.02-3.29-2.5-4.03v2.21l2.45 2.45c.03-.2.05-.41.05-.63zm2.5 0c0 .94-.2 1.82-.54 2.64l1.51 1.51C21.8 14.82 22 13.43 22 12c0-4.28-2.99-7.86-7-8.77v2.06c2.89.86 5 3.54 5 6.71zM4.27 3L3 4.27 7.73 9H3v6h4l5 5v-6.73l4.25 4.25c-.67.52-1.42.93-2.25 1.18v2.06c1.38-.31 2.63-.95 3.69-1.81L19.73 21 21 19.73l-9-9L4.27 3zM12 4L9.91 6.09 12 8.18V4z"/>
+    </svg>
+  </button>
+  <button
+    v-if="chatStore.streaming"
+    class="btn-abort"
+    title="Stop generation"
+    @click="chatStore.cancelGeneration()"
+  >
+    ■ Stop
+  </button>
+  <button
+    v-else
+    class="btn-send"
+    :disabled="!messageInput.trim()"
+    @click="sendMessage"
+  >
+    Send
+  </button>
+</div>
+```
+
+- [ ] **Step 3: Add CSS for the listen button**
+
+In the `<style>` block, add:
+
+```css
+.btn-listen-ws {
+  flex-shrink: 0;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  width: 2rem;
+  height: 2rem;
+  border: 1px solid var(--color-border);
+  border-radius: var(--radius-md);
+  background: transparent;
+  color: var(--color-text-muted);
+  cursor: pointer;
+  transition: color 0.15s, background 0.15s, border-color 0.15s;
+}
+.btn-listen-ws:hover {
+  color: var(--color-text);
+  border-color: var(--color-primary);
+}
+.btn-listen-ws--active {
+  color: var(--color-primary);
+  border-color: var(--color-primary);
+  background: color-mix(in srgb, var(--color-primary) 10%, transparent);
+}
+.btn-listen-ws--busy {
+  color: var(--color-primary);
+  animation: pulse 1.2s ease-in-out infinite;
+}
+```
+
+- [ ] **Step 4: TypeScript check**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant/frontend
+npx vue-tsc --noEmit 2>&1 | head -40
+```
+
+Expected: no errors.
+
+- [ ] **Step 5: Commit**
+
+```bash
+git add frontend/src/views/WorkspaceView.vue
+git commit -m "feat(tts): add streaming TTS listen mode to WorkspaceView"
+```
+
+---
+
+## Task 5: Final integration check and push
+
+- [ ] **Step 1: Full TypeScript check**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant/frontend
+npx vue-tsc --noEmit 2>&1
+```
+
+Expected: zero errors.
+
+- [ ] **Step 2: Verify no dead imports remain**
+
+```bash
+grep -n "synthesiseSpeech\|speakLastAssistantMessage\|speakText\|listenToLatest\|synthesising" \
+  frontend/src/views/ChatView.vue \
+  frontend/src/views/BriefingView.vue \
+  frontend/src/views/WorkspaceView.vue
+```
+
+Expected: no matches (all replaced).
+
+- [ ] **Step 3: Manual smoke test**
+
+1. Enable voice in Admin → Config
+2. Open Chat, enable listen mode (speaker icon)
+3. Send a message and watch: audio should begin playing the first sentence while the LLM is still streaming the response
+4. Send another message mid-playback — previous audio should stop immediately
+5. Toggle listen mode off mid-response — audio stops, `tts.stop()` called
+6. Repeat in `/briefing` and `/workspace/:id`
+
+- [ ] **Step 4: Push**
+
+```bash
+git push origin dev
+```
+
+---
+
+## Self-Review
+
+**Spec coverage check:**
+- ✅ Starts playing during generation (sentence-level queue, fires on each boundary)
+- ✅ Automatic when listen mode on (enabled computed = listenMode && voiceTtsEnabled)
+- ✅ ChatView updated
+- ✅ BriefingView updated
+- ✅ WorkspaceView added
+- ✅ One retry before skipping on failure
+- ✅ Failures logged via `console.warn` with sentence text and error
+- ✅ `stop()` on new message start (watch streaming → true)
+- ✅ Flush remaining buffer on stream end (watch streaming → false)
+- ✅ Fragments < 3 chars skipped
+- ✅ `abortId` prevents stale playback after stop
+
+**Type consistency:**
+- `tts.speaking` is `ComputedRef<boolean>` — accessed as `tts.speaking.value` in templates ✅
+- `tts.stop()` called consistently across all three views ✅
+- `useStreamingTts` options match usage in all three call sites ✅
+- `audio` variable kept in ChatView (used by volume slider) — not removed ✅

docs/superpowers/plans/2026-04-05-article-reading.md

@@ -0,0 +1,695 @@
+# Article Reading Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Add a `read_article` tool so the LLM can fetch any URL, fix the history builder so tool context survives follow-up turns, redesign the Discuss button to inject article content as a persisted tool exchange, and remove the RSS content character cap.
+
+**Architecture:** Four independent changes executed in dependency order: (1) content cap removal, (2) `read_article` tool, (3) history builder fix (prerequisite for everything persisting across follow-ups), (4) Discuss endpoint + frontend. Each task is independently committable.
+
+**Tech Stack:** Python/Quart, SQLAlchemy async, trafilatura (already installed), httpx (already installed), Vue 3 + TypeScript frontend.
+
+---
+
+## File map
+
+| Action | Path | Responsibility |
+|---|---|---|
+| Modify | `src/fabledassistant/services/rss.py` | Remove `CONTENT_MAX_CHARS` truncation |
+| Modify | `src/fabledassistant/services/tools.py` | Add `_URL_TOOLS` list, add `read_article` to `get_tools_for_user`, add handler in `execute_tool` |
+| Modify | `src/fabledassistant/routes/chat.py` | Fix history builder to replay tool_calls |
+| Modify | `src/fabledassistant/services/chat.py` | Add `tool_calls` parameter to `add_message` |
+| Modify | `src/fabledassistant/routes/briefing.py` | Add `POST /api/briefing/articles/<item_id>/discuss` endpoint |
+| Modify | `frontend/src/views/BriefingView.vue` | Replace `discussArticle()` to call new endpoint |
+| Modify | `tests/test_rss_service.py` | Update truncation test, add no-truncation test |
+| Create | `tests/test_article_reading.py` | Tests for `read_article` tool and history builder |
+
+---
+
+## Task 1: Remove RSS content cap
+
+**Files:**
+- Modify: `src/fabledassistant/services/rss.py:17-18,83,213`
+- Modify: `tests/test_rss_service.py:19-26`
+
+The `CONTENT_MAX_CHARS = 50_000` constant and all uses of `[:CONTENT_MAX_CHARS]` are removed.
+Trafilatura extracts only article body text, so content is naturally bounded.
+
+- [ ] **Step 1: Update the truncation test to assert no truncation**
+
+In `tests/test_rss_service.py`, replace the existing `test_extract_item_truncates_content` test:
+
+```python
+def test_extract_item_does_not_truncate_content():
+    """extract_item() should store content without truncation."""
+    from fabledassistant.services.rss import extract_item
+    long_text = "x" * 100_000
+    entry = MagicMock()
+    entry.get = lambda k, d="": {"summary": long_text, "title": "", "link": "", "id": "g"}.get(k, d)
+    entry.content = []
+    entry.published_parsed = None
+    item = extract_item(entry)
+    assert len(item["content"]) == 100_000
+```
+
+- [ ] **Step 2: Run the test to confirm it fails**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant
+make test ARGS="tests/test_rss_service.py::test_extract_item_does_not_truncate_content -v"
+```
+
+Expected: FAIL (current code truncates to 50_000).
+
+- [ ] **Step 3: Remove CONTENT_MAX_CHARS from rss.py**
+
+In `src/fabledassistant/services/rss.py`:
+
+Remove lines 17–18:
+```python
+# Safety cap on stored content — effectively unlimited for typical articles
+CONTENT_MAX_CHARS = 50_000
+```
+
+Change line 83 from:
+```python
+    content = _html_to_text(content)[:CONTENT_MAX_CHARS]
+```
+to:
+```python
+    content = _html_to_text(content)
+```
+
+Change line 213 from:
+```python
+                            item.content = full_text[:CONTENT_MAX_CHARS]
+```
+to:
+```python
+                            item.content = full_text
+```
+
+- [ ] **Step 4: Run all rss tests**
+
+```bash
+make test ARGS="tests/test_rss_service.py -v"
+```
+
+Expected: all pass. The `test_extract_item_truncates_content` test name no longer exists (replaced in Step 1).
+
+- [ ] **Step 5: Commit**
+
+```bash
+git add src/fabledassistant/services/rss.py tests/test_rss_service.py
+git commit -m "feat(rss): remove article content character cap"
+```
+
+---
+
+## Task 2: Add `read_article` tool
+
+**Files:**
+- Modify: `src/fabledassistant/services/tools.py`
+- Create: `tests/test_article_reading.py`
+
+The tool uses `_fetch_full_article` from `rss.py` (lazy import inside `execute_tool` to avoid circular dependencies). Added unconditionally to all users via a new `_URL_TOOLS` list.
+
+- [ ] **Step 1: Write failing tests**
+
+Create `tests/test_article_reading.py`:
+
+```python
+import json
+import pytest
+from unittest.mock import AsyncMock, patch
+
+
+@pytest.mark.asyncio
+async def test_read_article_success():
+    """read_article tool returns article content on success."""
+    from fabledassistant.services.tools import execute_tool
+    with patch(
+        "fabledassistant.services.rss._fetch_full_article",
+        new=AsyncMock(return_value="Article text here."),
+    ):
+        result = await execute_tool(
+            user_id=1,
+            tool_name="read_article",
+            arguments={"url": "https://example.com/article"},
+        )
+    assert result["success"] is True
+    assert result["type"] == "article_content"
+    assert result["url"] == "https://example.com/article"
+    assert result["content"] == "Article text here."
+    assert result["truncated"] is False
+
+
+@pytest.mark.asyncio
+async def test_read_article_fetch_failure():
+    """read_article tool returns success=False when fetch returns None."""
+    from fabledassistant.services.tools import execute_tool
+    with patch(
+        "fabledassistant.services.rss._fetch_full_article",
+        new=AsyncMock(return_value=None),
+    ):
+        result = await execute_tool(
+            user_id=1,
+            tool_name="read_article",
+            arguments={"url": "https://example.com/bad"},
+        )
+    assert result["success"] is False
+    assert "Could not fetch" in result["error"]
+
+
+@pytest.mark.asyncio
+async def test_read_article_truncates_at_40k():
+    """read_article tool truncates content at 40_000 chars and sets truncated=True."""
+    from fabledassistant.services.tools import execute_tool
+    long_content = "x" * 50_000
+    with patch(
+        "fabledassistant.services.rss._fetch_full_article",
+        new=AsyncMock(return_value=long_content),
+    ):
+        result = await execute_tool(
+            user_id=1,
+            tool_name="read_article",
+            arguments={"url": "https://example.com/long"},
+        )
+    assert result["success"] is True
+    assert len(result["content"]) == 40_000
+    assert result["truncated"] is True
+
+
+@pytest.mark.asyncio
+async def test_read_article_empty_url():
+    """read_article tool returns success=False when url is empty."""
+    from fabledassistant.services.tools import execute_tool
+    result = await execute_tool(
+        user_id=1,
+        tool_name="read_article",
+        arguments={"url": ""},
+    )
+    assert result["success"] is False
+```
+
+- [ ] **Step 2: Run tests to confirm they fail**
+
+```bash
+make test ARGS="tests/test_article_reading.py -v"
+```
+
+Expected: all 4 fail with "read_article not handled" or AttributeError.
+
+- [ ] **Step 3: Add `_URL_TOOLS` list and register it in `get_tools_for_user`**
+
+In `src/fabledassistant/services/tools.py`, add the `_URL_TOOLS` list immediately after the `_SEARCH_TOOLS` block (around line 836):
+
+```python
+_URL_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "read_article",
+            "description": (
+                "Fetch and read the full text of a web page or article from a URL. "
+                "Use when the user shares a URL and wants you to read it, or to get "
+                "the full content of a linked page. "
+                "Do NOT use search_web for URLs — use this tool instead."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "url": {"type": "string", "description": "The URL to fetch and read"}
+                },
+                "required": ["url"],
+            },
+        },
+    }
+]
+```
+
+In `get_tools_for_user` (around line 1034), add `_URL_TOOLS` unconditionally after `_CORE_TOOLS`:
+
+```python
+async def get_tools_for_user(user_id: int) -> list[dict]:
+    """Build the tool list for a user based on their configured integrations."""
+    tools = list(_CORE_TOOLS)
+    tools.extend(_URL_TOOLS)
+    tools.extend(_RAG_TOOLS)
+    tools.extend(_ENTITY_TOOLS)
+    if await is_caldav_configured(user_id):
+        tools.extend(_CALDAV_TOOLS)
+    if Config.searxng_enabled():
+        tools.extend(_SEARCH_TOOLS)
+        tools.extend(_RESEARCH_TOOLS)
+        tools.extend(_IMAGE_TOOLS)
+    logger.debug("User %d: %d tools available", user_id, len(tools))
+    return tools
+```
+
+- [ ] **Step 4: Add `read_article` handler in `execute_tool`**
+
+In `src/fabledassistant/services/tools.py`, in the `execute_tool` function, find the `elif tool_name == "search_web":` block (around line 1771). Add the new handler immediately before it:
+
+```python
+        elif tool_name == "read_article":
+            from fabledassistant.services.rss import _fetch_full_article
+            url = arguments.get("url", "").strip()
+            if not url:
+                return {"success": False, "error": "No URL provided"}
+            content = await _fetch_full_article(url)
+            if not content:
+                return {"success": False, "error": f"Could not fetch article content from {url}"}
+            _TOOL_CONTENT_CAP = 40_000
+            truncated = len(content) > _TOOL_CONTENT_CAP
+            return {
+                "success": True,
+                "type": "article_content",
+                "url": url,
+                "content": content[:_TOOL_CONTENT_CAP],
+                "truncated": truncated,
+            }
+
+```
+
+- [ ] **Step 5: Run the tests**
+
+```bash
+make test ARGS="tests/test_article_reading.py -v"
+```
+
+Expected: all 4 pass.
+
+- [ ] **Step 6: Run full test suite**
+
+```bash
+make test
+```
+
+Expected: all pass.
+
+- [ ] **Step 7: Commit**
+
+```bash
+git add src/fabledassistant/services/tools.py tests/test_article_reading.py
+git commit -m "feat(tools): add read_article tool using trafilatura extraction"
+```
+
+---
+
+## Task 3: Fix history builder
+
+**Files:**
+- Modify: `src/fabledassistant/routes/chat.py:162-166`
+- Modify: `tests/test_article_reading.py` (add history builder tests)
+
+The loop that builds `history` for `run_generation` currently drops `tool_calls`. This fix replays the full tool exchange so the LLM sees prior tool results on follow-up turns.
+
+- [ ] **Step 1: Add history builder tests**
+
+Append to `tests/test_article_reading.py`:
+
+```python
+def test_history_builder_plain_messages():
+    """Messages without tool_calls are added as {role, content} unchanged."""
+    import json
+    messages = [
+        type("M", (), {"role": "system", "content": "sys", "tool_calls": None})(),
+        type("M", (), {"role": "user", "content": "hello", "tool_calls": None})(),
+        type("M", (), {"role": "assistant", "content": "hi", "tool_calls": None})(),
+    ]
+    history = _build_history(messages)
+    assert history == [
+        {"role": "user", "content": "hello"},
+        {"role": "assistant", "content": "hi"},
+    ]
+
+
+def test_history_builder_with_tool_calls():
+    """Messages with tool_calls emit an assistant entry + tool result entries."""
+    import json
+    tool_calls_data = [
+        {
+            "function": "read_article",
+            "arguments": {"url": "https://example.com"},
+            "result": {"success": True, "content": "Article text"},
+        }
+    ]
+    messages = [
+        type("M", (), {"role": "user", "content": "read this", "tool_calls": None})(),
+        type("M", (), {
+            "role": "assistant",
+            "content": "",
+            "tool_calls": tool_calls_data,
+        })(),
+        type("M", (), {"role": "user", "content": "follow up", "tool_calls": None})(),
+    ]
+    history = _build_history(messages)
+    assert history[0] == {"role": "user", "content": "read this"}
+    assert history[1]["role"] == "assistant"
+    assert history[1]["tool_calls"] == [
+        {"function": {"name": "read_article", "arguments": {"url": "https://example.com"}}}
+    ]
+    assert history[2] == {"role": "tool", "content": json.dumps({"success": True, "content": "Article text"})}
+    assert history[3] == {"role": "user", "content": "follow up"}
+
+
+def _build_history(messages):
+    """Inline copy of the fixed history builder for testing."""
+    import json
+    history = []
+    for msg in messages:
+        if msg.role == "system":
+            continue
+        msg_dict = {"role": msg.role, "content": msg.content or ""}
+        if msg.tool_calls:
+            msg_dict["tool_calls"] = [
+                {"function": {"name": tc["function"], "arguments": tc["arguments"]}}
+                for tc in msg.tool_calls
+            ]
+            history.append(msg_dict)
+            for tc in msg.tool_calls:
+                history.append({"role": "tool", "content": json.dumps(tc.get("result", {}))})
+        else:
+            history.append(msg_dict)
+    return history
+```
+
+- [ ] **Step 2: Run the tests to confirm they pass**
+
+(These tests use `_build_history` defined inline — they test the logic directly, not the route. They should pass immediately.)
+
+```bash
+make test ARGS="tests/test_article_reading.py::test_history_builder_plain_messages tests/test_article_reading.py::test_history_builder_with_tool_calls -v"
+```
+
+Expected: both pass.
+
+- [ ] **Step 3: Apply the fix to `chat.py`**
+
+In `src/fabledassistant/routes/chat.py`, replace lines 162–166:
+
+```python
+    # Build history from existing messages (excluding system and the placeholder)
+    history = []
+    for msg in conv.messages:
+        if msg.role != "system":
+            history.append({"role": msg.role, "content": msg.content})
+```
+
+with:
+
+```python
+    # Build history from existing messages (excluding system and the placeholder).
+    # Tool calls from prior turns are replayed as assistant tool_call + tool result
+    # messages so the LLM retains tool context on follow-up turns.
+    history = []
+    for msg in conv.messages:
+        if msg.role == "system":
+            continue
+        msg_dict = {"role": msg.role, "content": msg.content or ""}
+        if msg.tool_calls:
+            msg_dict["tool_calls"] = [
+                {"function": {"name": tc["function"], "arguments": tc["arguments"]}}
+                for tc in msg.tool_calls
+            ]
+            history.append(msg_dict)
+            for tc in msg.tool_calls:
+                history.append({"role": "tool", "content": json.dumps(tc.get("result", {}))})
+        else:
+            history.append(msg_dict)
+```
+
+`json` is already imported at the top of `chat.py`.
+
+- [ ] **Step 4: Run full test suite**
+
+```bash
+make test
+```
+
+Expected: all pass.
+
+- [ ] **Step 5: Commit**
+
+```bash
+git add src/fabledassistant/routes/chat.py tests/test_article_reading.py
+git commit -m "fix(chat): replay tool_calls in history so tool context survives follow-up turns"
+```
+
+---
+
+## Task 4: Extend `add_message` to accept `tool_calls`
+
+**Files:**
+- Modify: `src/fabledassistant/services/chat.py:183-207`
+
+The Discuss endpoint (Task 5) needs to store a synthetic assistant message with `tool_calls`. The existing `add_message` doesn't support this parameter.
+
+- [ ] **Step 1: Update `add_message` signature and body**
+
+In `src/fabledassistant/services/chat.py`, replace the `add_message` function (lines 183–207):
+
+```python
+async def add_message(
+    conversation_id: int,
+    role: str,
+    content: str,
+    context_note_id: int | None = None,
+    status: str | None = None,
+    tool_calls: list | None = None,
+) -> Message:
+    async with async_session() as session:
+        kwargs: dict = dict(
+            conversation_id=conversation_id,
+            role=role,
+            content=content,
+            context_note_id=context_note_id,
+        )
+        if status is not None:
+            kwargs["status"] = status
+        if tool_calls is not None:
+            kwargs["tool_calls"] = tool_calls
+        msg = Message(**kwargs)
+        session.add(msg)
+        # Touch conversation updated_at
+        conv = await session.get(Conversation, conversation_id)
+        if conv:
+            conv.updated_at = datetime.now(timezone.utc)
+        await session.commit()
+        await session.refresh(msg)
+        return msg
+```
+
+- [ ] **Step 2: Run full test suite**
+
+```bash
+make test
+```
+
+Expected: all pass (existing callers only use positional/keyword args that are unchanged).
+
+- [ ] **Step 3: Commit**
+
+```bash
+git add src/fabledassistant/services/chat.py
+git commit -m "feat(chat): add tool_calls parameter to add_message"
+```
+
+---
+
+## Task 5: Add Discuss endpoint and update frontend
+
+**Files:**
+- Modify: `src/fabledassistant/routes/briefing.py`
+- Modify: `frontend/src/views/BriefingView.vue`
+
+New route: `POST /api/briefing/articles/<item_id>/discuss`. Fetches stored article from DB, stores a synthetic `read_article` tool exchange plus the user message, then triggers generation. Frontend replaces the inline-content approach with a call to this endpoint.
+
+- [ ] **Step 1: Add the discuss endpoint to briefing.py**
+
+At the top of `src/fabledassistant/routes/briefing.py`, add these imports (after the existing imports):
+
+```python
+from fabledassistant.models.rss_feed import RssItem, RssFeed
+from fabledassistant.services.chat import add_message, get_conversation
+from fabledassistant.services.generation_buffer import GenerationState, create_buffer, get_buffer
+from fabledassistant.services.generation_task import run_generation
+from fabledassistant.services.settings import get_setting
+```
+
+Note: `get_setting` and `asyncio` are already imported. Add only what is missing.
+
+Then add the new route at the end of `briefing.py` (before any final lines), after the `list_news` route:
+
+```python
+@briefing_bp.route("/articles/<int:item_id>/discuss", methods=["POST"])
+@_REQUIRE
+async def discuss_article(item_id: int):
+    """Pre-load a briefing article as a read_article tool exchange and trigger generation."""
+    uid = g.user.id
+    data = await request.get_json() or {}
+    conv_id = data.get("conv_id")
+    if not conv_id:
+        return jsonify({"error": "conv_id is required"}), 400
+
+    # Verify article belongs to this user (via feed ownership)
+    async with async_session() as session:
+        result = await session.execute(
+            select(RssItem).join(RssFeed, RssItem.feed_id == RssFeed.id)
+            .where(RssItem.id == item_id, RssFeed.user_id == uid)
+        )
+        item = result.scalar_one_or_none()
+    if item is None:
+        return jsonify({"error": "Article not found"}), 404
+
+    # Verify conversation belongs to this user
+    conv = await get_conversation(uid, conv_id)
+    if conv is None:
+        return jsonify({"error": "Conversation not found"}), 404
+
+    # Reject if generation already running
+    existing = get_buffer(conv_id)
+    if existing and existing.state == GenerationState.RUNNING:
+        return jsonify({"error": "Generation already in progress"}), 409
+
+    article_content = item.content or ""
+
+    # Store synthetic assistant message: read_article was already called with stored content
+    synthetic_tool_calls = [
+        {
+            "function": "read_article",
+            "arguments": {"url": item.url},
+            "result": {
+                "success": True,
+                "type": "article_content",
+                "url": item.url,
+                "content": article_content,
+                "truncated": False,
+            },
+        }
+    ]
+    await add_message(conv_id, "assistant", "", status="complete", tool_calls=synthetic_tool_calls)
+
+    # Store user message
+    await add_message(conv_id, "user", "Please summarize and discuss this article.")
+
+    # Reload conversation so history includes the two new messages
+    conv = await get_conversation(uid, conv_id)
+
+    # Build history (using the fixed builder from chat.py logic — duplicated here)
+    history = []
+    for msg in conv.messages:
+        if msg.role == "system":
+            continue
+        msg_dict = {"role": msg.role, "content": msg.content or ""}
+        if msg.tool_calls:
+            msg_dict["tool_calls"] = [
+                {"function": {"name": tc["function"], "arguments": tc["arguments"]}}
+                for tc in msg.tool_calls
+            ]
+            history.append(msg_dict)
+            for tc in msg.tool_calls:
+                history.append({"role": "tool", "content": json.dumps(tc.get("result", {}))})
+        else:
+            history.append(msg_dict)
+
+    model = await get_setting(uid, "default_model", "") or ""
+    from fabledassistant.config import Config as _Config
+    if not model:
+        model = _Config.OLLAMA_MODEL
+
+    # Create placeholder assistant message and generation buffer
+    assistant_msg = await add_message(conv_id, "assistant", "", status="generating")
+    try:
+        buf = create_buffer(conv_id, assistant_msg.id)
+    except RuntimeError:
+        return jsonify({"error": "Generation already in progress"}), 409
+
+    asyncio.create_task(run_generation(
+        buf, history, model,
+        uid, conv_id, conv.title,
+        "Please summarize and discuss this article.",
+        think=True,
+    ))
+
+    return jsonify({"assistant_message_id": assistant_msg.id, "status": "generating"}), 202
+```
+
+- [ ] **Step 2: Run full test suite**
+
+```bash
+make test
+```
+
+Expected: all pass.
+
+- [ ] **Step 3: Update `discussArticle` in BriefingView.vue**
+
+In `frontend/src/views/BriefingView.vue`, replace the `discussArticle` function:
+
+```typescript
+async function discussArticle(item: NewsItem) {
+  if (!todayConvId.value || chatStore.streaming) return
+  if (!isToday.value) selectedConvId.value = todayConvId.value
+  await nextTick(() => {
+    document.querySelector('.briefing-center')?.scrollIntoView({ behavior: 'smooth', block: 'nearest' })
+  })
+  try {
+    await apiPost<{ assistant_message_id: number }>(
+      `/api/briefing/articles/${item.id}/discuss`,
+      { conv_id: todayConvId.value },
+    )
+  } catch {
+    return
+  }
+  // Reload conversation so the new messages appear (including the generating placeholder),
+  // then reconnect to the SSE stream using the existing reconnectIfGenerating helper.
+  await chatStore.fetchConversation(todayConvId.value)
+  await chatStore.reconnectIfGenerating(todayConvId.value)
+}
+```
+
+`reconnectIfGenerating` is already exported from `useChatStore`. It finds the assistant message in `status="generating"` state and connects to the SSE stream automatically. No changes to `chat.ts` are needed.
+
+- [ ] **Step 4: TypeScript check**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant
+npm --prefix frontend run type-check
+```
+
+Expected: no errors.
+
+- [ ] **Step 5: Commit**
+
+```bash
+git add src/fabledassistant/routes/briefing.py frontend/src/views/BriefingView.vue frontend/src/stores/chat.ts
+git commit -m "feat(briefing): add discuss endpoint and update frontend to use persisted article context"
+```
+
+---
+
+## Task 6: Final verification
+
+- [ ] **Step 1: Run full test suite**
+
+```bash
+cd /home/bvandeusen/Nextcloud/Projects/fabledassistant
+make test
+```
+
+Expected: all tests pass.
+
+- [ ] **Step 2: TypeScript check**
+
+```bash
+npm --prefix frontend run type-check
+```
+
+Expected: no errors.
+
+- [ ] **Step 3: Push**
+
+```bash
+git push origin dev
+```

docs/superpowers/specs/2026-04-03-chatpanel-design.md

@@ -0,0 +1,216 @@
+# ChatPanel Unification Design
+
+**Date:** 2026-04-03
+
+## Goal
+
+Replace the four divergent chat surfaces (ChatView, BriefingView, WorkspaceView, HomeView widget) with a single `ChatPanel` component that encapsulates all chat behaviour — streaming, TTS, PTT, tool calls, thinking blocks, abort — so that fixes and features automatically apply to every context.
+
+---
+
+## Background
+
+The app currently has four independent chat implementations that have drifted significantly:
+
+| Surface | File | Gap |
+|---|---|---|
+| Main chat | `ChatView.vue` | Canonical reference |
+| Briefing | `BriefingView.vue` | Had separate TTS impl (now fixed), no PTT, streaming race bug |
+| Workspace | `WorkspaceView.vue` | TTS missing until recently, different input wiring |
+| Dashboard widget | `HomeView.vue` + `DashboardChatInput.vue` | Separate input component, response rendered manually in parent, no TTS, no PTT |
+
+Every fix to chat has required touching 3–4 files. This design makes chat a first-class component.
+
+---
+
+## Architecture
+
+### Component: `ChatPanel.vue`
+
+A single Vue 3 component that owns the entire chat interaction loop for a given conversation context. Two variants controlled by a `variant` prop:
+
+- **`full`** — full-height chat: message history, streaming bubble, input bar, all controls
+- **`widget`** — compact embedded chat: input bar + compact response area, no history scroll
+
+Both variants share identical internals: same composables, same store reads, same TTS/PTT/abort logic.
+
+### Extracted Sub-components
+
+| Component | Responsibility |
+|---|---|
+| `ChatInputBar.vue` | Unified input bar: textarea, note picker, PTT mic, send button, abort button |
+| `ChatMessageList.vue` | Scrollable message history with auto-scroll, bulk-select (full variant only) |
+| `ChatStreamingBubble.vue` | Live streaming content display + thinking block |
+| `ChatToolCallList.vue` | Tool call cards, collapsed/expanded state |
+
+### State Ownership
+
+`ChatPanel` reads from `useChatStore` directly — it does not accept messages or streaming state as props. This mirrors how all current views work and avoids prop-drilling re-implementation.
+
+The conversation being displayed is controlled via a `convId` prop. When `convId` is undefined, `ChatPanel` uses `chatStore.currentConversationId`. The parent view sets up the conversation (creates it if needed) and passes the ID down.
+
+---
+
+## Props & Emits Interface
+
+```typescript
+interface ChatPanelProps {
+  variant: 'full' | 'widget'
+  convId?: number                  // which conversation to display; undefined = store current
+  projectId?: number               // workspace: pins RAG scope, passed to sendMessage
+  briefingMode?: boolean           // briefing: hides RAG scope chip, enables briefing-specific send path
+  placeholder?: string             // input placeholder text
+  autoFocus?: boolean              // focus input on mount
+}
+
+interface ChatPanelEmits {
+  // Emitted when a new conversation is started from the widget (so parent can track convId)
+  (e: 'conversation-started', convId: number): void
+}
+```
+
+All other behaviour (TTS, PTT, thinking, tool calls, streaming indicator, abort) is always on — not gated by props. The intentional differences between views are expressed only through the props above.
+
+---
+
+## Variant Behaviour
+
+### `variant="full"` (ChatView, BriefingView, WorkspaceView)
+
+Layout (top to bottom):
+```
+┌────────────────────────────────────────┐
+│ [RAG scope chip / briefing header]     │  ← shown unless briefingMode or projectId set
+│ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ │
+│ ChatMessageList                        │
+│   user bubble                          │
+│   assistant bubble + tool calls        │
+│   thinking block (always shown)        │
+│   ...                                  │
+│ ChatStreamingBubble (while streaming)  │
+│ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ │
+│ ChatInputBar                           │
+│   [textarea] [note-picker] [mic] [▶]  │
+│   [listen toggle] [abort]              │
+└────────────────────────────────────────┘
+```
+
+### `variant="widget"` (HomeView dashboard)
+
+Layout (top to bottom, compact):
+```
+┌────────────────────────────────────────┐
+│ ChatInputBar (pill style)              │
+│   [textarea] [mic] [▶]                │
+├────────────────────────────────────────┤
+│ [query text]              (after send) │
+│ [streaming / final response text]      │
+│ [tool call chips]                      │
+│ [Continue in Chat →]                  │
+└────────────────────────────────────────┘
+```
+
+The widget variant does NOT show full message history. It shows only the most recent exchange. Once a new conversation is started or the user navigates to `/chat/:id`, the full history is available.
+
+The `.dashboard-response` section currently in `HomeView.vue` moves inside `ChatPanel` and is rendered when `variant="widget"` and a conversation exists.
+
+---
+
+## TTS / PTT Wiring
+
+`ChatPanel` instantiates `useStreamingTts` and `useListenMode` internally. These are not passed as props.
+
+```typescript
+// Inside ChatPanel setup()
+const listenMode = useListenMode()
+const voiceTtsEnabled = computed(() => /* same check as current views */)
+const tts = useStreamingTts({
+  streamingContent: computed(() => chatStore.streamingContent),
+  streaming: computed(() => !!chatStore.streaming),
+  enabled: computed(() => listenMode.value && voiceTtsEnabled.value),
+})
+```
+
+PTT is handled inside `ChatInputBar` via the existing `useVoiceRecorder` composable (already used in `DashboardChatInput`). On recording stop, the transcribed text is placed in the textarea and auto-submitted.
+
+---
+
+## Per-View Migration
+
+### ChatView → `<ChatPanel variant="full">`
+- Remove: all TTS/PTT/streaming/abort logic, scroll management, input bar template
+- Keep: route wiring, conversation list sidebar, bulk-delete UI (sidebar stays in ChatView)
+- ChatPanel replaces only the right-hand panel
+
+### BriefingView → `<ChatPanel variant="full" briefingMode />`
+- Remove: streaming watch, TTS, manual scroll, input bar, response persistence workaround
+- Keep: history dropdown (today / past briefings), date header
+- `briefingMode` hides the RAG scope chip
+
+### WorkspaceView → `<ChatPanel variant="full" :projectId="projectId">`
+- Remove: inline chat input, streaming watch, TTS wiring
+- Keep: 3-panel grid layout, task panel, note editor panel
+- ChatPanel takes the centre column
+
+### HomeView → `<ChatPanel variant="widget">`
+- Remove: `DashboardChatInput` import + usage, `.dashboard-response` section, all manual store wiring (`dashboardConvId`, `dashboardQuery`, `dashboardFinalContent`, `dashboardFinalToolCalls`, `onChatSubmit`)
+- Keep: dashboard layout, projects/tasks/events sections
+- `DashboardChatInput.vue` deleted
+
+---
+
+## Data Flow
+
+```
+Parent view
+  └─ <ChatPanel :convId="convId" variant="full|widget">
+       ├─ reads: useChatStore (messages, streaming, streamingContent, currentConversation)
+       ├─ ChatMessageList — renders history from store
+       ├─ ChatStreamingBubble — renders chatStore.streamingContent while streaming
+       ├─ ChatToolCallList — renders tool calls from streaming + finalized messages
+       ├─ ChatInputBar
+       │    ├─ usePtt (mic → textarea → auto-send)
+       │    └─ emits: submit(content, contextNoteId)
+       ├─ useStreamingTts (sentence-chunk TTS during streaming)
+       └─ useListenMode (shared global toggle)
+```
+
+---
+
+## Files Created / Modified
+
+**Created:**
+- `frontend/src/components/ChatPanel.vue`
+- `frontend/src/components/ChatInputBar.vue`
+- `frontend/src/components/ChatMessageList.vue`
+- `frontend/src/components/ChatStreamingBubble.vue`
+- (no new composable needed — PTT uses existing `useVoiceRecorder.ts`)
+
+**Modified:**
+- `frontend/src/views/ChatView.vue` — use ChatPanel for the chat area
+- `frontend/src/views/BriefingView.vue` — replace chat section with ChatPanel
+- `frontend/src/views/WorkspaceView.vue` — replace inline chat with ChatPanel
+- `frontend/src/views/HomeView.vue` — replace DashboardChatInput + response section with ChatPanel widget
+
+**Deleted:**
+- `frontend/src/components/DashboardChatInput.vue`
+
+---
+
+## CSS / Styling
+
+- `ChatPanel` carries its own scoped CSS for both variants
+- `ChatInputBar` replicates the pill style currently in `DashboardChatInput` and the flat style in `ChatView` — variant is controlled by a `pill` boolean prop (default false; widget sets it true)
+- All existing UI design language tokens (`--color-primary`, `--radius-lg`, Fraunces labels, gradient send button) are preserved
+
+---
+
+## What Does NOT Change
+
+- Chat store (`useChatStore`) — unchanged
+- API client (`client.ts`) — unchanged
+- Backend routes — unchanged
+- WorkspaceTaskPanel and WorkspaceNoteEditor — unchanged
+- Briefing history dropdown and date header — unchanged
+- ChatView conversation sidebar and bulk-delete — unchanged
+- RAG scope chip logic — moved inside ChatPanel, behaviour identical

docs/superpowers/specs/2026-04-03-streaming-tts-design.md

@@ -0,0 +1,101 @@
+# Streaming TTS Design
+
+**Date:** 2026-04-03  
+**Status:** Approved
+
+## Goal
+
+Start playing TTS audio during LLM generation rather than waiting for the full response to finish. When listen mode is on, the first sentence plays as soon as Kokoro finishes synthesizing it — while the LLM is still streaming the rest of the response.
+
+## Approach
+
+Client-side sentence queuing composable. The frontend accumulates streaming tokens, detects sentence boundaries, fires per-sentence synthesis requests concurrently, and plays audio in strict insertion order. The existing `/api/voice/synthesise` backend endpoint is unchanged.
+
+## Architecture
+
+### `useStreamingTts` composable
+
+**File:** `frontend/src/composables/useStreamingTts.ts`
+
+**Inputs:**
+- `streamingContent: Ref<string>` — the growing accumulated response text (e.g. `store.streamingContent`)
+- `streaming: Ref<boolean>` — whether the LLM is currently generating
+- `enabled: Ref<boolean>` — `true` when listen mode is on AND TTS is available
+
+**Exports:**
+- `speaking: Ref<boolean>` — `true` while any synthesis is in-flight or audio is playing
+- `stop()` — cancels all pending synthesis/playback and clears the queue
+
+**Internal state:**
+- `sentenceBuffer: string` — accumulates characters since the last dispatched sentence
+- `lastSeenLength: number` — tracks how far into `streamingContent` we've processed
+- `abortId: number` — incremented on `stop()`; each queued promise checks the current id and bails if stale
+- `playQueue: Promise<void>` — a chained promise that serializes audio playback in insertion order
+
+**Sentence detection:**
+- Regex: `/[.!?]+(?=\s|$)/` — handles `...`, `?!`, multi-punctuation
+- Triggered on every `streamingContent` change and on `streaming` flipping `false` (flush)
+- Fragments < 3 characters after markdown stripping are skipped
+
+**Per-sentence pipeline:**
+1. Strip markdown (same logic as current `speakLastAssistantMessage`)
+2. Fire `synthesiseSpeech(sentence)` immediately — runs concurrently with other sentences
+3. On failure: one immediate retry. If retry also fails, skip silently and advance the queue
+4. Resolved blob is inserted into the playback queue at its original position
+5. Playback queue plays blobs strictly in insertion order via `useVoiceAudio`
+
+**Stream-end flush:**
+- When `streaming` flips `false`, any remaining `sentenceBuffer` content (fragment without terminal punctuation) is dispatched as a final sentence — covers responses that end without a period
+
+**Automatic reset:**
+- When `streaming` flips `true` (new message starting), `stop()` is called automatically to cancel any in-flight audio from the previous response before starting fresh
+
+### Views updated
+
+| View | Change |
+|------|--------|
+| `ChatView.vue` | Replace `speakLastAssistantMessage()` + `watch(streaming)` + `synthesising` ref with `useStreamingTts` |
+| `BriefingView.vue` | Replace `speakText()` + `watch(streaming)` + `synthesising` ref with `useStreamingTts` |
+| `WorkspaceView.vue` | Add listen mode toggle button (same UI pattern as ChatView) + `useStreamingTts` wired to workspace chat stream |
+
+In all three views: the `speaking` export from `useStreamingTts` replaces the old `synthesising || audio.playing.value` checks for button busy state.
+
+### Backend
+
+No changes. `/api/voice/synthesise` accepts shorter sentence-length strings without issue.
+
+## Error Handling
+
+| Scenario | Behavior |
+|----------|----------|
+| Synthesis fails for a sentence | One immediate retry; if retry fails, sentence is skipped, queue advances, and a `console.warn` is emitted with the sentence index and error |
+| `stop()` called mid-queue | `abortId` incremented; all in-flight promises check id and discard their result |
+| New message starts while audio playing | `watch(streaming, true → ...)` calls `stop()` before starting new queue |
+| TTS unavailable or listen mode off | Composable is inert — watchers do nothing, no requests fired |
+| Fragment < 3 chars after stripping | Skipped without a TTS request |
+| Response ends without terminal punctuation | Remaining buffer flushed as final sentence on stream-end |
+
+## Data Flow
+
+```
+LLM SSE chunks → store.streamingContent (grows)
+                         ↓
+              useStreamingTts watcher
+                         ↓
+              sentenceBuffer accumulation
+                         ↓
+         sentence boundary detected? → synthesiseSpeech(sentence) [concurrent]
+                         ↓                        ↓ (fail → 1 retry → skip)
+              playQueue.then(play blob)    resolved blob
+                         ↓
+              useVoiceAudio.play() [sequential]
+                         ↓
+                    audio output
+```
+
+## Files Changed
+
+- **New:** `frontend/src/composables/useStreamingTts.ts`
+- **Modified:** `frontend/src/views/ChatView.vue` — swap TTS logic for composable
+- **Modified:** `frontend/src/views/BriefingView.vue` — swap TTS logic for composable
+- **Modified:** `frontend/src/views/WorkspaceView.vue` — add listen mode + composable

docs/superpowers/specs/2026-04-05-article-reading-design.md

@@ -0,0 +1,227 @@
+# Article Reading Design
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Allow the LLM to fetch and read the full text of any URL on demand, fix conversation history so tool context survives follow-up turns, and make the briefing Discuss button inject article content as a persisted tool exchange rather than raw user-message text.
+
+**Architecture:** Four self-contained changes — history reconstruction fix (prerequisite), `read_article` tool, Discuss endpoint, and content cap removal.
+
+**Tech Stack:** Python/Quart backend, trafilatura (already installed), SQLAlchemy async, Vue 3 frontend.
+
+---
+
+## Problem summary
+
+Three interrelated issues observed in briefing conversations:
+
+1. **Missing `read_article` tool** — when a user pastes a URL, the LLM calls `search_web` (a SearXNG text search), which returns generic site descriptions instead of article content.
+2. **History reconstruction bug** — `routes/chat.py:166` builds the `history` list with only `role` + `content`, silently dropping all `tool_calls` and their results from prior turns. Tool context is lost on every follow-up.
+3. **Discuss button UX** — inlines raw article text into the user message bubble. Feels clumsy, and the model sometimes searches notes on follow-ups anyway because the article isn't clearly marked as "loaded" context.
+
+---
+
+## Components
+
+### 1. History reconstruction fix
+**File:** `src/fabledassistant/routes/chat.py`
+
+The loop at line ~164 that builds `history` must be updated to replay tool exchanges:
+
+```python
+history = []
+for msg in conv.messages:
+    if msg.role == "system":
+        continue
+    msg_dict = {"role": msg.role, "content": msg.content or ""}
+    if msg.tool_calls:
+        msg_dict["tool_calls"] = [
+            {"function": {"name": tc["function"], "arguments": tc["arguments"]}}
+            for tc in msg.tool_calls
+        ]
+        history.append(msg_dict)
+        for tc in msg.tool_calls:
+            history.append({"role": "tool", "content": json.dumps(tc.get("result", {}))})
+    else:
+        history.append(msg_dict)
+```
+
+The `tool_calls` JSONB column already stores `[{function, arguments, result}]` per call. No schema change needed.
+
+### 2. `read_article` tool
+**Files:** `src/fabledassistant/services/research.py`, `src/fabledassistant/services/tools.py`, `src/fabledassistant/services/rss.py`
+
+Move `_fetch_full_article` from `rss.py` to `research.py` (imported back into `rss.py` to avoid breaking existing calls). This makes it available to `execute_tool` without a circular import.
+
+Tool definition added to `_TOOLS` in `tools.py`:
+
+```python
+{
+    "type": "function",
+    "function": {
+        "name": "read_article",
+        "description": (
+            "Fetch and read the full text of a web page or article from a URL. "
+            "Use when the user shares a URL and wants you to read it, "
+            "or to get the full content of a linked page. "
+            "Do not use search_web for URLs — use this tool instead."
+        ),
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "url": {"type": "string", "description": "The URL to fetch"}
+            },
+            "required": ["url"],
+        },
+    },
+}
+```
+
+`execute_tool` handler:
+
+```python
+elif tool_name == "read_article":
+    from fabledassistant.services.research import _fetch_full_article
+    url = arguments.get("url", "").strip()
+    if not url:
+        return {"success": False, "error": "No URL provided"}
+    content = await _fetch_full_article(url)
+    if not content:
+        return {"success": False, "error": f"Could not fetch article content from {url}"}
+    TOOL_CONTENT_CAP = 40_000
+    truncated = len(content) > TOOL_CONTENT_CAP
+    return {
+        "success": True,
+        "type": "article_content",
+        "url": url,
+        "content": content[:TOOL_CONTENT_CAP],
+        "truncated": truncated,
+    }
+```
+
+### 3. `add_message` — add `tool_calls` parameter
+**File:** `src/fabledassistant/services/chat.py`
+
+`add_message` needs to accept and store `tool_calls` so the Discuss endpoint can create synthetic messages:
+
+```python
+async def add_message(
+    conversation_id: int,
+    role: str,
+    content: str,
+    context_note_id: int | None = None,
+    status: str | None = None,
+    tool_calls: list | None = None,
+) -> Message:
+```
+
+Set `msg.tool_calls = tool_calls` when provided.
+
+### 4. Discuss endpoint
+**File:** `src/fabledassistant/routes/briefing.py`
+
+New route: `POST /api/briefing/articles/<int:item_id>/discuss`
+
+Request body: `{"conv_id": <int>}`
+
+Steps:
+1. Look up `rss_items` row by `item_id` — verify it belongs to the user via feed ownership. Return 404 if not found.
+2. Look up conversation by `conv_id` — verify it belongs to the user. Return 404 if not found.
+3. If generation already running for `conv_id` → return 409.
+4. Fetch stored content: `article_content = item.content or item.snippet or ""`
+5. Store synthetic assistant message (status=`"complete"`, role=`"assistant"`, content=`""`, tool_calls as below):
+   ```python
+   synthetic_tool_calls = [{
+       "function": "read_article",
+       "arguments": {"url": item.url},
+       "result": {
+           "success": True,
+           "type": "article_content",
+           "url": item.url,
+           "content": article_content,
+           "truncated": False,
+       },
+   }]
+   await add_message(conv_id, "assistant", "", status="complete", tool_calls=synthetic_tool_calls)
+   ```
+6. Store user message: `await add_message(conv_id, "user", "Please summarize and discuss this article.")`
+7. Build `history` from `conv.messages` (using the fixed builder above).
+8. Create assistant placeholder, create buffer, launch `run_generation` as normal.
+9. Return `{"assistant_message_id": ..., "status": "generating"}` 202.
+
+### 5. Frontend: BriefingView.vue
+**File:** `frontend/src/views/BriefingView.vue`
+
+Replace `discussArticle()`:
+
+```typescript
+async function discussArticle(item: NewsItem) {
+  if (!todayConvId.value) return
+  if (!isToday.value) selectedConvId.value = todayConvId.value
+  await nextTick(() => {
+    document.querySelector('.briefing-center')?.scrollIntoView({ behavior: 'smooth', block: 'nearest' })
+  })
+  await apiClient.post(`/api/briefing/articles/${item.id}/discuss`, {
+    conv_id: todayConvId.value,
+  })
+  // Re-fetch conversation so the new messages appear, then start SSE streaming.
+  // The existing chatStore.fetchConversation + startStreaming pattern handles this.
+  await chatStore.fetchConversation(todayConvId.value)
+  chatStore.startStreaming(todayConvId.value)
+}
+```
+
+The exact method names (`fetchConversation`, `startStreaming`) should match what `BriefingView.vue` already uses for the reply flow — confirm during implementation.
+
+The article no longer appears as wall-of-text in the user bubble. The chat UI shows it as a `read_article` tool call card (already handled by `ToolCallCard.vue`).
+
+### 6. Content cap removal
+**File:** `src/fabledassistant/services/rss.py`
+
+Remove `[:CONTENT_MAX_CHARS]` from:
+- `content = _html_to_text(content)[:CONTENT_MAX_CHARS]` in `extract_item()`
+- `item.content = full_text[:CONTENT_MAX_CHARS]` in the enrichment task
+
+The `CONTENT_MAX_CHARS` constant can be removed entirely. Trafilatura extracts only article body text (typically 2K–15K chars for news articles), so content is naturally bounded.
+
+---
+
+## Data flow
+
+### User pastes a URL in chat
+1. User sends message with a URL
+2. LLM calls `read_article(url)`
+3. `execute_tool` calls `_fetch_full_article(url)` → trafilatura extracts clean text
+4. Tool result appended in-memory as `{role: "tool", content: json}`
+5. LLM responds based on article content
+6. Generation saves assistant message with `tool_calls=[{function:"read_article", arguments, result}]`
+7. Follow-up turns: history builder replays tool_call + tool result → article stays in context
+
+### User clicks Discuss on a briefing article
+1. Frontend calls `POST /api/briefing/articles/{item_id}/discuss` with `{conv_id}`
+2. Backend fetches stored article text from DB (no network request)
+3. Backend stores synthetic assistant message with `read_article` tool result
+4. Backend stores user message `"Please summarize and discuss this article."`
+5. Generation runs — LLM sees pre-loaded article in history
+6. Follow-ups retain context via fixed history builder
+
+---
+
+## Error handling
+
+| Scenario | Behaviour |
+|---|---|
+| `_fetch_full_article` returns `None` (network/extraction failure) | Tool returns `{success: False, error: "Could not fetch article content from [url]"}` — LLM reports conversationally |
+| Discuss: `item_id` not found or wrong user | 404 |
+| Discuss: `conv_id` not found or wrong user | 404 |
+| Discuss: article has no stored content | Falls back to empty string — LLM works with what it has |
+| Discuss: generation already running | 409 |
+| Messages with `tool_calls = None` | History builder unchanged — no regression for existing conversations |
+
+---
+
+## Tests
+
+- **Unit:** `_fetch_full_article` returns `None` → `read_article` tool result has `success: False`
+- **Unit:** History builder with a stored message that has `tool_calls` → output includes assistant tool_call dict + a `{role: "tool"}` dict
+- **Unit:** History builder with messages where `tool_calls = None` → output unchanged from current behaviour
+- **Integration:** `POST /api/briefing/articles/{item_id}/discuss` → two messages stored (synthetic assistant + user message), generation triggered, returns 202

docs/superpowers/specs/2026-04-06-settings-consistency-design.md

@@ -0,0 +1,204 @@
+# Settings Consistency Pass — Design
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** Fix five interrelated gaps in the settings UI — missing timezone field, SSO-unaware account tab, duplicated work schedule, ignored slot toggles, and timezone changes not propagating to the briefing scheduler.
+
+**Architecture:** Primarily frontend cleanup with two focused backend hooks: settings PUT route gains a timezone→scheduler bridge; briefing scheduler gains slot-gating and work-day awareness.
+
+**Tech Stack:** Vue 3 + TypeScript frontend; Python/Quart backend; APScheduler; `zoneinfo`.
+
+---
+
+## Problem summary
+
+1. **No timezone field** — `user_timezone` is read by the scheduler and the chat pipeline but is never exposed in the UI. The briefing tab displays the browser's detected timezone but never persists it. Scheduler falls back to UTC.
+
+2. **Account tab ignores SSO** — "Email Address" and "Change Password" sections are shown to SSO users (`has_password = false`) even though they cannot change credentials here.
+
+3. **Work schedule duplicated** — Profile tab has the canonical work schedule (days + start/end time, stored in `profile.work_schedule`). Briefing tab has a redundant "Office Days" section (`briefing_config.work_days`) that the backend never reads.
+
+4. **Slot toggles are decorative** — The briefing tab's four slot checkboxes are saved to `briefing_config.slots` but `_add_user_jobs` schedules all four slots unconditionally.
+
+5. **Timezone setting not propagated** — `PUT /api/settings` saves `user_timezone` to the DB but does not call `update_user_schedule`, so the in-memory scheduler keeps the stale timezone until restart or briefing config re-save.
+
+---
+
+## Components
+
+### 1. General tab — Timezone field
+
+**File:** `frontend/src/views/SettingsView.vue`
+
+New section in the General tab (after the Assistant section, before Model Management):
+
+```html
+<section class="settings-section full-width">
+  <h2>Timezone</h2>
+  <p class="section-desc">Used to schedule briefings and format times in chat.</p>
+  <div class="field">
+    <label for="user-timezone">Your timezone</label>
+    <div style="display:flex; gap:0.5rem; align-items:center">
+      <input id="user-timezone" v-model="userTimezone" type="text"
+             class="input" placeholder="e.g. America/New_York" />
+      <button class="btn-secondary" type="button" @click="detectTimezone">Detect</button>
+    </div>
+    <p class="field-hint">IANA timezone name (e.g. America/Chicago, Europe/London).</p>
+  </div>
+  <div class="actions">
+    <button class="btn-save" @click="saveTimezone" :disabled="savingTimezone">
+      {{ savingTimezone ? 'Saving…' : 'Save' }}
+    </button>
+    <span v-if="timezoneSaved" class="saved-msg">Saved!</span>
+  </div>
+</section>
+```
+
+- `detectTimezone()` sets `userTimezone = Intl.DateTimeFormat().resolvedOptions().timeZone`
+- `saveTimezone()` calls `PUT /api/settings` with `{ user_timezone: userTimezone }`
+- Loaded in `onMounted` / general settings load alongside `assistantName`, `defaultModel`
+
+The briefing tab's "Firing in timezone" hint changes from the live Intl API to reading the stored `user_timezone` value:
+```
+Firing in timezone: <strong>{{ userTimezone || 'UTC (not set)' }}</strong>
+```
+
+### 2. Account tab — SSO guard
+
+**File:** `frontend/src/views/SettingsView.vue`
+
+Wrap the Email and Password sections:
+
+```html
+<!-- SSO info banner (shown when no local password) -->
+<section v-if="!authStore.user?.has_password" class="settings-section">
+  <h2>Account</h2>
+  <p class="section-desc">
+    Your account is managed by an external identity provider.
+    Email and password changes are made through your provider, not here.
+  </p>
+</section>
+
+<!-- Local-auth sections (hidden for SSO) -->
+<template v-if="authStore.user?.has_password">
+  <section class="settings-section"> <!-- Email Address --> </section>
+  <section class="settings-section"> <!-- Change Password --> </section>
+</template>
+
+<!-- Active Sessions — always shown -->
+<section class="settings-section"> ... </section>
+```
+
+No backend change needed — the API already rejects email/password changes for SSO accounts.
+
+### 3. Briefing tab — Remove Office Days
+
+**File:** `frontend/src/views/SettingsView.vue`
+
+Delete the "Office Days" `<section>` (lines ~2068–2082). The `briefing_config.work_days` field can remain in the config object for backwards compatibility but the UI stops writing it.
+
+The slot toggles section stays — it now actually drives scheduling (see §5).
+
+### 4. Backend — settings PUT propagates timezone to scheduler
+
+**File:** `src/fabledassistant/routes/settings.py`
+
+After `set_settings_batch`, add:
+
+```python
+if "user_timezone" in to_save:
+    import json
+    from fabledassistant.services.briefing_scheduler import update_user_schedule
+    config_raw = await get_setting(uid, "briefing_config", "{}")
+    try:
+        config = json.loads(config_raw) if isinstance(config_raw, str) else {}
+    except Exception:
+        config = {}
+    if config.get("enabled"):
+        update_user_schedule(uid, config, tz_override=to_save["user_timezone"] or None)
+```
+
+### 5. Backend — scheduler respects slot toggles and work days
+
+**File:** `src/fabledassistant/services/briefing_scheduler.py`
+
+**5a. `_add_user_jobs` — only schedule enabled slots**
+
+Change signature to accept `config: dict`:
+
+```python
+def _add_user_jobs(user_id: int, tz: str, config: dict | None = None) -> None:
+    enabled_slots = (config or {}).get("slots", {})
+    for slot_name, hour, minute in SLOTS:
+        # Default True for compilation (always run); others respect toggle
+        if slot_name != "compilation" and not enabled_slots.get(slot_name, True):
+            jid = _job_id(user_id, slot_name)
+            if _scheduler and _scheduler.get_job(jid):
+                _scheduler.remove_job(jid)
+            continue
+        _scheduler.add_job(
+            _run_user_slot_sync,
+            CronTrigger(hour=hour, minute=minute, timezone=tz),
+            args=[user_id, slot_name],
+            id=_job_id(user_id, slot_name),
+            replace_existing=True,
+            misfire_grace_time=3600,
+        )
+```
+
+Update callers:
+- `update_user_schedule(user_id, config, tz_override)` → pass `config` to `_add_user_jobs`
+- `start_briefing_scheduler` startup loop → fetch full config to pass through
+
+**5b. `_run_slot_for_user` — skip morning on non-work days**
+
+For the `morning` slot, check today against `profile.work_schedule.days`:
+
+```python
+if slot == "morning":
+    from fabledassistant.services.user_profile import get_profile
+    from datetime import datetime
+    tz_str = await get_setting(user_id, "user_timezone") or "UTC"
+    try:
+        user_tz = ZoneInfo(tz_str)
+    except Exception:
+        user_tz = ZoneInfo("UTC")
+    today_abbr = datetime.now(user_tz).strftime("%a")  # 'Mon', 'Tue', …
+    profile = await get_profile(user_id)
+    work_days = (profile.work_schedule or {}).get("days", ["Mon","Tue","Wed","Thu","Fri"])
+    if today_abbr not in work_days:
+        logger.info("Skipping morning slot for user %d — %s not a work day", user_id, today_abbr)
+        return
+```
+
+Note: `get_profile` must be importable from `user_profile.py` — confirm signature during implementation.
+
+---
+
+## Data flow
+
+1. User opens Settings → General tab loads, reads `user_timezone` from `GET /api/settings`, populates the field
+2. User clicks Detect → browser timezone fills the field
+3. User clicks Save → `PUT /api/settings {user_timezone: "America/New_York"}` → backend saves and immediately calls `update_user_schedule` if briefing enabled
+4. Briefing tab "Firing in timezone" now shows stored value instead of live browser API
+5. Next 8am job: scheduler checks if `morning` is enabled in `briefing_config.slots`, then checks if today is in `profile.work_schedule.days` before running
+
+---
+
+## Error handling
+
+| Scenario | Behaviour |
+|---|---|
+| `user_timezone` saved as empty string | `update_user_schedule` called with `tz_override=None` → falls back to `briefing_config.timezone` or UTC |
+| Invalid IANA string saved | `_resolve_timezone` already falls back to UTC with a warning log |
+| `profile.work_schedule` is None | `morning` slot defaults to Mon–Fri |
+| Slot toggles key missing from config | All non-compilation slots default to enabled (`True`) — no regression for existing users |
+| SSO user visits Account tab | Sees info banner; email/password forms hidden; no API calls attempted |
+
+---
+
+## What is NOT changing
+
+- Profile "Interests" and Briefing "News Preferences" remain separate — they serve different purposes (system-prompt personalisation vs RSS topic filtering)
+- `briefing_config.work_days` field is not deleted from existing configs — just stops being written by the UI
+- No migration needed — `profile.work_schedule.days` already exists; scheduler change is additive

fable-mcp/fable_mcp/client.py

@@ -36,7 +36,7 @@ class FableClient:
         self._client = httpx.AsyncClient(
             base_url=self.base_url,
             headers=self._headers,
-            timeout=30.0,
+            timeout=httpx.Timeout(connect=10.0, read=300.0, write=30.0, pool=10.0),
         )
         return self
 
@@ -91,7 +91,9 @@ class FableClient:
     async def stream_get(self, path: str, **kwargs: Any) -> AsyncIterator[str]:
         """Yield non-empty lines from a streaming GET response (SSE)."""
         async with self._http().stream("GET", path, **kwargs) as response:
-            self._raise_for_status(response)
+            if response.is_error:
+                await response.aread()
+                self._raise_for_status(response)
             async for line in response.aiter_lines():
                 if line:
                     yield line

fable-mcp/fable_mcp/server.py

@@ -565,7 +565,7 @@ async def fable_get_app_logs(
     """Fetch Fable application logs. Requires an admin-scoped API key.
 
     Args:
-        category: Log category — "error" (default), "audit", or "usage".
+        category: Log category — "error" (default), "audit", "usage", or "generation".
         limit: Maximum number of log entries to return.
         search: Optional keyword filter matched against action, endpoint, username, details.
 

fable-mcp/fable_mcp/tools/admin.py

@@ -12,7 +12,7 @@ async def get_app_logs(
 ) -> dict:
     """Fetch application logs from Fable. Requires an admin-scoped API key.
 
-    category: "error" | "audit" | "usage" (default: "error")
+    category: "error" | "audit" | "usage" | "generation" (default: "error")
     """
     params: dict = {"category": category, "limit": limit}
     if search:

fable-mcp/fable_mcp/tools/chat.py

@@ -1,10 +1,11 @@
 """MCP tools for Fable chat — create conversations and stream responses."""
 from __future__ import annotations
 
+import asyncio
 import json
 from typing import Any
 
-from fable_mcp.client import FableClient
+from fable_mcp.client import FableClient, FableAPIError
 
 
 async def list_conversations(
@@ -28,7 +29,12 @@ async def send_message(
     """Send a message to Fable and return the full assistant response.
 
     Creates a new MCP conversation if conversation_id is None.
-    Streams the SSE response and accumulates token chunks into a single string.
+    Posts the user message to start generation, then streams the SSE buffer.
+
+    SSE event format:
+        id: <N>
+        event: <type>        # chunk | done | tool_call | status | ...
+        data: <json>
 
     Returns:
         Dict with:
@@ -41,32 +47,46 @@ async def send_message(
             "/api/chat/conversations",
             json={"conversation_type": "mcp"},
         )
-        conversation_id = conv["id"]
+        conversation_id = str(conv["id"])
 
-    # Build SSE stream URL with message as query param
-    params: dict[str, Any] = {"message": message}
-    if think:
-        params["think"] = "true"
+    # Start generation
+    await client.post(
+        f"/api/chat/conversations/{conversation_id}/messages",
+        json={"content": message, "think": think},
+    )
 
     tokens: list[str] = []
     tool_calls: list[Any] = []
 
-    stream_path = f"/api/chat/conversations/{conversation_id}/stream"
-    async for raw_line in client.stream_get(stream_path, params=params):
-        if not raw_line.startswith("data: "):
-            continue
-        payload_str = raw_line[len("data: "):]
+    stream_path = f"/api/chat/conversations/{conversation_id}/generation/stream"
+
+    # Retry connecting to the stream briefly — the background task may not have
+    # created the generation buffer by the time we issue the GET.
+    for attempt in range(10):
         try:
-            event = json.loads(payload_str)
-        except json.JSONDecodeError:
-            continue
-        event_type = event.get("type")
-        if event_type == "token":
-            tokens.append(event.get("content", ""))
-        elif event_type == "tool_call":
-            tool_calls.append(event)
-        elif event_type == "done":
-            break
+            event_type: str | None = None
+            async for raw_line in client.stream_get(stream_path):
+                if raw_line.startswith("event: "):
+                    event_type = raw_line[len("event: "):].strip()
+                elif raw_line.startswith("data: "):
+                    payload_str = raw_line[len("data: "):]
+                    try:
+                        data = json.loads(payload_str)
+                    except json.JSONDecodeError:
+                        continue
+                    if event_type == "chunk":
+                        tokens.append(data.get("chunk", ""))
+                    elif event_type == "tool_call":
+                        tool_calls.append(data.get("tool_call", data))
+                    elif event_type == "done":
+                        break
+                    event_type = None  # reset after consuming data line
+            break  # stream completed successfully
+        except FableAPIError as exc:
+            if exc.status_code == 404 and attempt < 9:
+                await asyncio.sleep(0.3)
+                continue
+            raise
 
     return {
         "conversation_id": conversation_id,

fable-mcp/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "fable-mcp"
-version = "0.1.0"
+version = "0.2.4"
 description = "MCP server for Fabled Assistant"
 requires-python = ">=3.12"
 dependencies = [

frontend/src/App.vue

@@ -22,6 +22,7 @@ const { showShortcuts, toggleShortcuts, closeShortcuts } = useShortcuts();
 function startAppServices() {
   chatStore.startStatusPolling();
   settingsStore.fetchSettings();
+  settingsStore.checkVoiceStatus();
   // Sync browser timezone to the server on every login/page load.
   apiPut("/api/settings", { user_timezone: Intl.DateTimeFormat().resolvedOptions().timeZone }).catch(() => {});
 }
@@ -268,6 +269,10 @@ onUnmounted(() => {
                 <kbd class="shortcut-key">Enter</kbd>
                 <span class="shortcut-desc">New line</span>
               </div>
+              <div class="shortcut-row">
+                <kbd class="shortcut-key">Space</kbd>
+                <span class="shortcut-desc">Hold to speak (voice, when enabled)</span>
+              </div>
             </div>
           </div>
         </div>
@@ -313,7 +318,9 @@ onUnmounted(() => {
   min-height: 0;
   overflow-y: auto;
 }
-.app-content:has(.workspace-root) {
+.app-content:has(.workspace-root),
+.app-content:has(.chat-page),
+.app-content:has(.knowledge-root) {
   overflow: hidden;
 }
 

frontend/src/api/client.ts

@@ -426,6 +426,10 @@ export async function deleteRssReaction(rssItemId: number): Promise<void> {
   return apiDelete(`/api/briefing/rss-reactions/${rssItemId}`);
 }
 
+export async function openArticleInChat(itemId: number): Promise<{ conversation_id: number }> {
+  return apiPost(`/api/chat/from-article/${itemId}`, {});
+}
+
 export async function geocodeAddress(address: string): Promise<{ lat: number; lon: number; display_name: string } | null> {
   try {
     const r = await apiPost<{ lat: number; lon: number; label: string }>('/api/briefing/weather/geocode', { query: address });
@@ -619,3 +623,90 @@ export function getNewsItems(params: GetNewsItemsParams = {}) {
     `/api/briefing/news?${p}`
   )
 }
+
+// ─── Voice ────────────────────────────────────────────────────────────────────
+
+export interface VoiceStatusResult {
+  enabled: boolean
+  stt: boolean
+  tts: boolean
+  stt_model?: string
+  tts_backend?: string
+}
+
+export interface VoiceEntry {
+  id: string
+  label: string
+}
+
+export interface VoiceBlendEntry {
+  voice: string
+  weight: number
+}
+
+export const getVoiceStatus = () => apiGet<VoiceStatusResult>('/api/voice/status')
+
+export const getVoiceList = () =>
+  apiGet<{ voices: VoiceEntry[] }>('/api/voice/voices').then(r => r.voices)
+
+export async function transcribeAudio(blob: Blob): Promise<{ transcript: string; duration_ms: number }> {
+  const form = new FormData()
+  form.append('audio', blob, 'audio.webm')
+  const res = await fetch('/api/voice/transcribe', { method: 'POST', body: form })
+  if (!res.ok) {
+    const err = await res.json().catch(() => ({ error: `HTTP ${res.status}` }))
+    throw new ApiError(res.status, err)
+  }
+  return res.json()
+}
+
+export async function synthesiseSpeech(
+  text: string,
+  voice?: string,
+  speed?: number,
+  voiceBlend?: VoiceBlendEntry[]
+): Promise<Blob> {
+  // Only send voice/speed/blend when explicitly provided — omitting them lets
+  // the server auto-load the user's saved voice settings (voice, speed, blend).
+  const body: Record<string, unknown> = { text }
+  if (voiceBlend && voiceBlend.length >= 2) {
+    body.voice_blend = voiceBlend
+    if (speed !== undefined) body.speed = speed
+  } else if (voice !== undefined || speed !== undefined) {
+    body.voice = voice ?? 'af_heart'
+    body.speed = speed ?? 1.0
+  }
+  const res = await fetch('/api/voice/synthesise', {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify(body),
+  })
+  if (!res.ok) {
+    const err = await res.json().catch(() => ({ error: `HTTP ${res.status}` }))
+    throw new ApiError(res.status, err)
+  }
+  return res.blob()
+}
+
+// ── User Profile ─────────────────────────────────────────────────────────────
+
+export interface UserProfile {
+  display_name: string
+  job_title: string
+  industry: string
+  expertise_level: 'novice' | 'intermediate' | 'expert'
+  response_style: 'concise' | 'balanced' | 'detailed'
+  tone: 'casual' | 'professional' | 'technical'
+  interests: string[]
+  work_schedule: { days?: string[]; start?: string; end?: string }
+  learned_summary: string
+  observations_count: number
+  observations_updated_at: string | null
+}
+
+export const getProfile = () => apiGet<UserProfile>('/api/profile')
+export const updateProfile = (data: Partial<UserProfile>) =>
+  apiPut<UserProfile>('/api/profile', data)
+export const consolidateProfile = () =>
+  apiPost<{ status: string; learned_summary: string }>('/api/profile/consolidate', {})
+export const clearProfileObservations = () => apiDelete('/api/profile/observations')

frontend/src/assets/prose.css

@@ -180,6 +180,34 @@
   color: var(--color-text-muted);
 }
 
+/* Interactive checkboxes — marked output in the list-note viewer */
+.prose--checklist ul {
+  list-style: none;
+  padding-left: 0.25rem;
+}
+.prose--checklist li {
+  display: flex;
+  align-items: baseline;
+  gap: 0.5rem;
+  margin-bottom: 0.25rem;
+}
+.prose--checklist li input[type="checkbox"] {
+  flex-shrink: 0;
+  accent-color: var(--color-primary);
+  cursor: pointer;
+  width: 0.95em;
+  height: 0.95em;
+  margin: 0;
+}
+.prose--checklist li:has(input[type="checkbox"]:checked) > p,
+.prose--checklist li:has(input[type="checkbox"]:checked) {
+  text-decoration: line-through;
+  color: var(--color-text-muted);
+}
+.prose--checklist li:has(input[type="checkbox"]:checked) input[type="checkbox"] {
+  text-decoration: none; /* don't strike through the checkbox itself */
+}
+
 /* Tiptap editor */
 .tiptap-editor .ProseMirror {
   outline: none;

frontend/src/assets/theme.css

@@ -4,6 +4,7 @@
   --color-bg: #f5f5fb;
   --color-bg-secondary: #ededf5;
   --color-bg-card: #ffffff;
+  --color-surface: #f0f0f8;
   --color-text: #1a1a1a;
   --color-text-secondary: #666666;
   --color-text-muted: #999999;
@@ -49,12 +50,17 @@
   --radius-lg: 18px;
   --radius-pill: 9999px;
   --focus-ring: 0 0 0 2px color-mix(in srgb, var(--color-primary) 40%, transparent);
+  /* Layout */
+  --page-max-width: 1200px;
+  --page-padding-x: 1rem;
+  --sidebar-width: 260px;
 }
 
 [data-theme="dark"] {
   --color-bg: #111113;
   --color-bg-secondary: #18181f;
   --color-bg-card: #1e1e27;
+  --color-surface: #1a1b22;
   --color-text: #e4e4f0;
   --color-text-secondary: #8888a8;
   --color-text-muted: #52526a;

frontend/src/components/AppHeader.vue

@@ -15,7 +15,8 @@ const chatStore = useChatStore();
 const router = useRouter();
 const route = useRoute();
 
-const isChatActive = computed(() => route.path.startsWith("/chat"));
+const isChatActive = computed(() => route.path.startsWith("/chat"))
+const isKnowledgeActive = computed(() => route.path === "/" || route.path === "/knowledge");
 
 const mobileMenuOpen = ref(false);
 
@@ -72,15 +73,12 @@ router.afterEach(() => {
 
       <!-- Center: primary navigation (desktop) -->
       <div class="nav-center">
-        <router-link to="/notes" class="nav-link">Notes</router-link>
-        <router-link to="/projects" class="nav-link">Projects</router-link>
-        <router-link to="/tasks" class="nav-link">Tasks</router-link>
+        <router-link to="/" class="nav-link" :class="{ 'router-link-active': isKnowledgeActive }">Knowledge</router-link>
         <router-link to="/chat" :class="['nav-link', { 'router-link-active': isChatActive }]">Chat</router-link>
-        <router-link to="/graph" class="nav-link">Graph</router-link>
-        <router-link to="/calendar" class="nav-link">Calendar</router-link>
         <router-link to="/briefing" class="nav-link">Briefing</router-link>
-        <router-link to="/news" class="nav-link">News</router-link>
-        <router-link to="/shared" class="nav-link">Shared</router-link>
+        <router-link to="/calendar" class="nav-link">Calendar</router-link>
+        <router-link to="/tasks" class="nav-link">Tasks</router-link>
+        <router-link to="/projects" class="nav-link">Projects</router-link>
       </div>
 
       <!-- Right: status + utilities + gear + user -->
@@ -123,13 +121,12 @@ router.afterEach(() => {
 
     <!-- Mobile dropdown -->
     <div v-if="mobileMenuOpen" class="mobile-menu">
-      <router-link to="/notes" class="nav-link">Notes</router-link>
-      <router-link to="/projects" class="nav-link">Projects</router-link>
-      <router-link to="/tasks" class="nav-link">Tasks</router-link>
+      <router-link to="/" class="nav-link" :class="{ 'router-link-active': isKnowledgeActive }">Knowledge</router-link>
       <router-link to="/chat" :class="['nav-link', { 'router-link-active': isChatActive }]">Chat</router-link>
-      <router-link to="/graph" class="nav-link">Graph</router-link>
-      <router-link to="/calendar" class="nav-link">Calendar</router-link>
       <router-link to="/briefing" class="nav-link">Briefing</router-link>
+      <router-link to="/calendar" class="nav-link">Calendar</router-link>
+      <router-link to="/tasks" class="nav-link">Tasks</router-link>
+      <router-link to="/projects" class="nav-link">Projects</router-link>
       <router-link to="/news" class="nav-link">News</router-link>
       <router-link to="/shared" class="nav-link">Shared</router-link>
       <div class="mobile-divider"></div>

frontend/src/components/ChatInputBar.vue

@@ -0,0 +1,397 @@
+<script setup lang="ts">
+import { ref, computed, nextTick } from 'vue'
+import { apiGet, transcribeAudio } from '@/api/client'
+import { useVoiceRecorder } from '@/composables/useVoiceRecorder'
+import { useChatStore } from '@/stores/chat'
+import { useSettingsStore } from '@/stores/settings'
+import type { Note } from '@/types/note'
+
+const props = withDefaults(defineProps<{
+  /** Textarea placeholder */
+  placeholder?: string
+  /** When true, hides the note picker (briefing mode) */
+  briefingMode?: boolean
+  /** Pill shape — compact rounded style for widget */
+  pill?: boolean
+}>(), {
+  placeholder: 'Type a message… (Enter to send, Shift+Enter for new line)',
+  briefingMode: false,
+  pill: false,
+})
+
+const emit = defineEmits<{
+  submit: [payload: { content: string; contextNoteId?: number }]
+  abort: []
+}>()
+
+const store = useChatStore()
+const settingsStore = useSettingsStore()
+const voiceEnabled = computed(() => settingsStore.voiceSttReady)
+
+// ── Core input ────────────────────────────────────────────────────────────────
+const messageInput = ref('')
+const inputEl = ref<HTMLTextAreaElement | null>(null)
+const wrapperEl = ref<HTMLElement | null>(null)
+
+function autoResize() {
+  const el = inputEl.value
+  if (!el) return
+  el.style.height = 'auto'
+  el.style.height = Math.min(el.scrollHeight, 150) + 'px'
+}
+
+function resetTextareaHeight() {
+  const el = inputEl.value
+  if (!el) return
+  el.style.height = 'auto'
+}
+
+function onInputKeydown(e: KeyboardEvent) {
+  if (e.key === 'Enter' && !e.shiftKey) {
+    e.preventDefault()
+    onSubmit()
+  }
+}
+
+function onSubmit() {
+  const content = messageInput.value.trim()
+  if (!content) return
+  emit('submit', { content, contextNoteId: attachedNote.value?.id })
+  messageInput.value = ''
+  attachedNote.value = null
+  resetTextareaHeight()
+}
+
+// ── Note picker ───────────────────────────────────────────────────────────────
+const attachedNote = ref<{ id: number; title: string } | null>(null)
+const showNotePicker = ref(false)
+const noteSearchQuery = ref('')
+const noteSearchResults = ref<{ id: number; title: string }[]>([])
+const noteSearchLoading = ref(false)
+let noteSearchTimer: ReturnType<typeof setTimeout> | null = null
+
+function toggleNotePicker() {
+  showNotePicker.value = !showNotePicker.value
+  if (showNotePicker.value) {
+    noteSearchQuery.value = ''
+    noteSearchResults.value = []
+    nextTick(() => {
+      (wrapperEl.value?.querySelector('.note-picker-search') as HTMLInputElement)?.focus()
+    })
+  }
+}
+
+function onNoteSearchInput() {
+  if (noteSearchTimer) clearTimeout(noteSearchTimer)
+  noteSearchTimer = setTimeout(async () => {
+    const q = noteSearchQuery.value.trim()
+    if (!q) { noteSearchResults.value = []; return }
+    noteSearchLoading.value = true
+    try {
+      const data = await apiGet<{ notes: Note[] }>(`/api/notes?q=${encodeURIComponent(q)}&all=true&limit=5`)
+      noteSearchResults.value = data.notes.map((n) => ({ id: n.id, title: n.title }))
+    } catch {
+      noteSearchResults.value = []
+    } finally {
+      noteSearchLoading.value = false
+    }
+  }, 250)
+}
+
+function selectNote(note: { id: number; title: string }) {
+  attachedNote.value = note
+  showNotePicker.value = false
+}
+
+function removeAttachedNote() {
+  attachedNote.value = null
+}
+
+// ── PTT ───────────────────────────────────────────────────────────────────────
+const transcribingVoice = ref(false)
+const recorder = useVoiceRecorder()
+
+async function startPtt() {
+  if (!voiceEnabled.value || recorder.recording.value) return
+  await recorder.startRecording()
+}
+
+async function stopPtt() {
+  if (!recorder.recording.value) return
+  transcribingVoice.value = true
+  try {
+    const blob = await recorder.stopRecording()
+    const { transcript } = await transcribeAudio(blob)
+    if (transcript.trim()) {
+      messageInput.value = transcript.trim()
+      await nextTick()
+      autoResize()
+      onSubmit()
+    }
+  } catch { /* transcription failed silently */ }
+  finally { transcribingVoice.value = false }
+}
+
+// ── Exposed interface ─────────────────────────────────────────────────────────
+function focus() {
+  inputEl.value?.focus()
+}
+
+function prefill(text: string) {
+  messageInput.value = text
+  nextTick(() => {
+    autoResize()
+    inputEl.value?.focus()
+  })
+}
+
+defineExpose({ focus, prefill })
+</script>
+
+<template>
+  <div ref="wrapperEl" class="chat-input-bar" :class="{ 'chat-input-bar--pill': pill }">
+    <!-- Attached note pill -->
+    <div v-if="attachedNote" class="attached-note">
+      <span class="attached-note-pill">
+        {{ attachedNote.title }}
+        <button class="attached-note-remove" aria-label="Remove" @click="removeAttachedNote">&times;</button>
+      </span>
+    </div>
+
+    <div class="input-row">
+      <!-- Note picker -->
+      <div class="note-picker-wrapper">
+        <button
+          class="btn-icon"
+          @click="toggleNotePicker"
+          :disabled="!store.chatReady"
+          title="Attach a note"
+        >
+          <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+            <path d="M21.44 11.05l-9.19 9.19a6 6 0 01-8.49-8.49l9.19-9.19a4 4 0 015.66 5.66l-9.2 9.19a2 2 0 01-2.83-2.83l8.49-8.48"/>
+          </svg>
+        </button>
+        <div v-if="showNotePicker" class="note-picker-dropdown">
+          <input
+            class="note-picker-search"
+            v-model="noteSearchQuery"
+            @input="onNoteSearchInput"
+            placeholder="Search notes..."
+          />
+          <div class="note-picker-results">
+            <div
+              v-for="note in noteSearchResults"
+              :key="note.id"
+              class="note-picker-item"
+              @click="selectNote(note)"
+            >{{ note.title || 'Untitled' }}</div>
+            <div v-if="noteSearchLoading" class="note-picker-empty">Searching...</div>
+            <div v-else-if="noteSearchQuery && !noteSearchResults.length" class="note-picker-empty">No notes found</div>
+          </div>
+        </div>
+      </div>
+
+      <!-- Textarea -->
+      <textarea
+        ref="inputEl"
+        v-model="messageInput"
+        @keydown="onInputKeydown"
+        @input="autoResize"
+        :placeholder="!store.chatReady ? 'Chat unavailable' : store.streaming ? 'Type to queue… (Enter to queue)' : placeholder"
+        :disabled="!store.chatReady"
+        rows="1"
+        class="input-textarea"
+      ></textarea>
+
+      <!-- PTT mic -->
+      <button
+        v-if="voiceEnabled && recorder.isSupported"
+        class="btn-icon btn-mic"
+        :class="{ 'mic-recording': recorder.recording.value, 'mic-transcribing': transcribingVoice }"
+        @mousedown.prevent="startPtt"
+        @mouseup.prevent="stopPtt"
+        @touchstart.prevent="startPtt"
+        @touchend.prevent="stopPtt"
+        :disabled="transcribingVoice || !store.chatReady"
+        :title="recorder.recording.value ? 'Release to send' : 'Hold to speak'"
+        aria-label="Push to talk"
+      >
+        <svg v-if="!transcribingVoice" width="17" height="17" viewBox="0 0 24 24" fill="currentColor">
+          <path d="M12 14c1.66 0 3-1.34 3-3V5c0-1.66-1.34-3-3-3S9 3.34 9 5v6c0 1.66 1.34 3 3 3zm-1-9c0-.55.45-1 1-1s1 .45 1 1v6c0 .55-.45 1-1 1s-1-.45-1-1V5zm6 6c0 2.76-2.24 5-5 5s-5-2.24-5-5H5c0 3.53 2.61 6.43 6 6.92V21h2v-3.08c3.39-.49 6-3.39 6-6.92h-2z"/>
+        </svg>
+        <svg v-else width="17" height="17" viewBox="0 0 24 24" fill="currentColor">
+          <circle cx="12" cy="12" r="8" opacity="0.35"/><circle cx="12" cy="12" r="4"/>
+        </svg>
+      </button>
+
+      <!-- Abort (streaming) or Send -->
+      <button
+        v-if="store.streaming"
+        class="btn-abort-inline"
+        @click="emit('abort')"
+        title="Stop generation"
+      >
+        <svg width="14" height="14" viewBox="0 0 14 14" fill="currentColor"><rect width="14" height="14" rx="2"/></svg>
+      </button>
+      <button
+        v-else
+        class="btn-send"
+        @click="onSubmit"
+        :disabled="!messageInput.trim() || !store.chatReady"
+      >&uarr;</button>
+    </div>
+  </div>
+</template>
+
+<style scoped>
+.chat-input-bar {
+  width: 100%;
+}
+
+.attached-note {
+  padding: 0.25rem 0.5rem;
+}
+.attached-note-pill {
+  display: inline-flex;
+  align-items: center;
+  gap: 0.2rem;
+  background: var(--color-primary);
+  color: #fff;
+  border-radius: 10px;
+  padding: 0.15rem 0.4rem;
+  font-size: 0.75rem;
+}
+.attached-note-remove {
+  background: none;
+  border: none;
+  color: rgba(255, 255, 255, 0.7);
+  cursor: pointer;
+  font-size: 0.9rem;
+  line-height: 1;
+  padding: 0 0.1rem;
+}
+.attached-note-remove:hover { color: #fff; }
+
+.input-row {
+  display: flex;
+  align-items: center;
+  gap: 0.4rem;
+  padding: 0.5rem 0.5rem 0.5rem 0.75rem;
+  background: var(--color-input-bar-bg);
+  border-radius: 12px;
+  box-shadow: 0 2px 8px var(--color-shadow);
+}
+
+.chat-input-bar--pill .input-row {
+  border-radius: 24px;
+  padding: 0.6rem 0.6rem 0.6rem 1rem;
+}
+
+.input-textarea {
+  flex: 1;
+  resize: none;
+  padding: 0.35rem 0.5rem;
+  border: none;
+  background: transparent;
+  color: var(--color-input-bar-text);
+  outline: none;
+  font-family: inherit;
+  font-size: 0.9rem;
+  max-height: 150px;
+  overflow-y: auto;
+}
+.input-textarea::placeholder { color: var(--color-input-bar-placeholder); }
+.input-textarea:disabled { opacity: 0.5; }
+
+.btn-icon {
+  background: none;
+  border: none;
+  cursor: pointer;
+  color: var(--color-input-bar-text);
+  opacity: 0.6;
+  padding: 0.2rem;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  border-radius: var(--radius-sm);
+  flex-shrink: 0;
+}
+.btn-icon:hover { opacity: 1; }
+.btn-icon:disabled { opacity: 0.3; cursor: default; }
+
+.btn-mic.mic-recording { opacity: 1; color: #ef4444; }
+.btn-mic.mic-transcribing { opacity: 0.5; }
+
+.note-picker-wrapper { position: relative; }
+.note-picker-dropdown {
+  position: absolute;
+  bottom: calc(100% + 8px);
+  left: 0;
+  width: 260px;
+  background: var(--color-bg-card);
+  border: 1px solid var(--color-border);
+  border-radius: var(--radius-md);
+  box-shadow: 0 4px 16px var(--color-shadow);
+  z-index: 20;
+  overflow: hidden;
+}
+.note-picker-search {
+  width: 100%;
+  padding: 0.45rem 0.65rem;
+  border: none;
+  border-bottom: 1px solid var(--color-border);
+  background: transparent;
+  color: var(--color-text);
+  font-size: 0.85rem;
+  outline: none;
+  font-family: inherit;
+  box-sizing: border-box;
+}
+.note-picker-results { max-height: 180px; overflow-y: auto; }
+.note-picker-item {
+  padding: 0.4rem 0.65rem;
+  cursor: pointer;
+  font-size: 0.85rem;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+.note-picker-item:hover { background: var(--color-bg-secondary); }
+.note-picker-empty { padding: 0.4rem 0.65rem; color: var(--color-text-muted); font-size: 0.8rem; }
+
+.btn-send {
+  width: 30px;
+  min-width: 30px;
+  height: 30px;
+  padding: 0;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  background: linear-gradient(135deg, #6366f1, #4f46e5);
+  color: #fff;
+  border: none;
+  border-radius: 50%;
+  cursor: pointer;
+  font-size: 1rem;
+  flex-shrink: 0;
+  transition: box-shadow 0.15s;
+}
+.btn-send:hover { box-shadow: 0 0 12px rgba(99, 102, 241, 0.5); }
+.btn-send:disabled { opacity: 0.35; cursor: default; box-shadow: none; }
+
+.btn-abort-inline {
+  width: 28px;
+  min-width: 28px;
+  height: 28px;
+  padding: 0;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  background: var(--color-bg-secondary);
+  border: 1px solid var(--color-border);
+  border-radius: 50%;
+  cursor: pointer;
+  flex-shrink: 0;
+}
+.btn-abort-inline:hover { border-color: #ef4444; color: #ef4444; }
+</style>

frontend/src/components/ChatStreamingBubble.vue

@@ -0,0 +1,56 @@
+<script setup lang="ts">
+import { computed } from 'vue'
+import { useChatStore } from '@/stores/chat'
+import { useSettingsStore } from '@/stores/settings'
+import { renderMarkdown } from '@/utils/markdown'
+import ToolCallCard from '@/components/ToolCallCard.vue'
+import ToolConfirmCard from '@/components/ToolConfirmCard.vue'
+
+const store = useChatStore()
+const settingsStore = useSettingsStore()
+
+const streamingRendered = computed(() => {
+  if (!store.streamingContent) return ''
+  return renderMarkdown(store.streamingContent)
+})
+</script>
+
+<template>
+  <div class="chat-message role-assistant">
+    <div class="message-bubble streaming-bubble">
+      <div class="message-header">
+        <span class="role-label">{{ settingsStore.assistantName }}</span>
+      </div>
+      <div v-if="store.streamingToolCalls.length" class="streaming-tool-calls">
+        <ToolCallCard
+          v-for="(tc, i) in store.streamingToolCalls"
+          :key="i"
+          :tool-call="tc"
+        />
+      </div>
+      <ToolConfirmCard
+        v-if="store.streamingPendingTool"
+        :pending-tool="store.streamingPendingTool"
+        @accept="store.confirmTool(true)"
+        @decline="store.confirmTool(false)"
+      />
+      <div v-if="store.streamingStatus" class="streaming-status-line">
+        <span class="streaming-status-dot"></span>
+        {{ store.streamingStatus }}
+      </div>
+      <details
+        v-if="store.streamingThinking"
+        class="thinking-block"
+        :open="!store.streamingContent"
+      >
+        <summary class="thinking-summary">Reasoning</summary>
+        <pre class="thinking-text">{{ store.streamingThinking }}</pre>
+      </details>
+      <div class="message-content prose" v-html="streamingRendered"></div>
+      <span
+        v-if="!store.streamingStatus && !store.streamingThinking && !store.streamingContent"
+        class="typing-indicator"
+      ></span>
+    </div>
+  </div>
+</template>

frontend/src/components/DashboardChatInput.vue

@@ -1,351 +0,0 @@
-<script setup lang="ts">
-import { ref, nextTick } from "vue";
-import { apiGet } from "@/api/client";
-import { useChatStore } from "@/stores/chat";
-import type { Note } from "@/types/note";
-
-const emit = defineEmits<{
-  submit: [payload: { content: string; contextNoteId?: number }];
-}>();
-
-const store = useChatStore();
-
-const messageInput = ref("");
-const inputEl = ref<HTMLTextAreaElement | null>(null);
-
-// Note picker state
-const attachedNote = ref<{ id: number; title: string } | null>(null);
-const showNotePicker = ref(false);
-const noteSearchQuery = ref("");
-const noteSearchResults = ref<{ id: number; title: string }[]>([]);
-const noteSearchLoading = ref(false);
-let noteSearchTimer: ReturnType<typeof setTimeout> | null = null;
-
-function onSubmit() {
-  const content = messageInput.value.trim();
-  if (!content) return;
-  emit("submit", {
-    content,
-    contextNoteId: attachedNote.value?.id,
-  });
-  messageInput.value = "";
-  attachedNote.value = null;
-  resetTextareaHeight();
-}
-
-function onInputKeydown(e: KeyboardEvent) {
-  if (e.key === "Enter" && !e.shiftKey) {
-    e.preventDefault();
-    onSubmit();
-  }
-}
-
-function autoResize() {
-  const el = inputEl.value;
-  if (!el) return;
-  el.style.height = "auto";
-  el.style.height = Math.min(el.scrollHeight, 120) + "px";
-}
-
-function resetTextareaHeight() {
-  const el = inputEl.value;
-  if (!el) return;
-  el.style.height = "auto";
-}
-
-// Note picker
-function toggleNotePicker() {
-  showNotePicker.value = !showNotePicker.value;
-  if (showNotePicker.value) {
-    noteSearchQuery.value = "";
-    noteSearchResults.value = [];
-    nextTick(() => {
-      const el = document.querySelector(
-        ".dashboard-chat .note-picker-search"
-      ) as HTMLInputElement;
-      el?.focus();
-    });
-  }
-}
-
-function onNoteSearchInput() {
-  if (noteSearchTimer) clearTimeout(noteSearchTimer);
-  noteSearchTimer = setTimeout(async () => {
-    const q = noteSearchQuery.value.trim();
-    if (!q) {
-      noteSearchResults.value = [];
-      return;
-    }
-    noteSearchLoading.value = true;
-    try {
-      const data = await apiGet<{ notes: Note[] }>(
-        `/api/notes?q=${encodeURIComponent(q)}&all=true&limit=5`
-      );
-      noteSearchResults.value = data.notes.map((n) => ({
-        id: n.id,
-        title: n.title,
-      }));
-    } catch {
-      noteSearchResults.value = [];
-    } finally {
-      noteSearchLoading.value = false;
-    }
-  }, 250);
-}
-
-function selectNote(note: { id: number; title: string }) {
-  attachedNote.value = note;
-  showNotePicker.value = false;
-}
-
-function removeAttachedNote() {
-  attachedNote.value = null;
-}
-
-function focus() {
-  inputEl.value?.focus();
-}
-
-defineExpose({ focus });
-</script>
-
-<template>
-  <div class="dashboard-chat">
-    <!-- Attached note pill -->
-    <div v-if="attachedNote" class="attached-note">
-      <span class="attached-note-pill">
-        {{ attachedNote.title }}
-        <button class="attached-note-remove" aria-label="Remove attached note" @click="removeAttachedNote">
-          &times;
-        </button>
-      </span>
-    </div>
-
-    <div class="chat-input-bar">
-      <div class="note-picker-wrapper">
-        <button
-          class="btn-attach"
-          @click="toggleNotePicker"
-          :disabled="!store.chatReady"
-          title="Attach a note"
-        >
-          <svg
-            width="18"
-            height="18"
-            viewBox="0 0 24 24"
-            fill="none"
-            stroke="currentColor"
-            stroke-width="2"
-            stroke-linecap="round"
-            stroke-linejoin="round"
-          >
-            <path
-              d="M21.44 11.05l-9.19 9.19a6 6 0 01-8.49-8.49l9.19-9.19a4 4 0 015.66 5.66l-9.2 9.19a2 2 0 01-2.83-2.83l8.49-8.48"
-            />
-          </svg>
-        </button>
-
-        <div v-if="showNotePicker" class="note-picker-dropdown">
-          <input
-            class="note-picker-search"
-            v-model="noteSearchQuery"
-            @input="onNoteSearchInput"
-            placeholder="Search notes..."
-          />
-          <div class="note-picker-results">
-            <div
-              v-for="note in noteSearchResults"
-              :key="note.id"
-              class="note-picker-item"
-              @click="selectNote(note)"
-            >
-              {{ note.title || "Untitled" }}
-            </div>
-            <div v-if="noteSearchLoading" class="note-picker-empty">
-              Searching...
-            </div>
-            <div
-              v-else-if="noteSearchQuery && !noteSearchResults.length"
-              class="note-picker-empty"
-            >
-              No notes found
-            </div>
-          </div>
-        </div>
-      </div>
-
-      <textarea
-        ref="inputEl"
-        v-model="messageInput"
-        @keydown="onInputKeydown"
-        @input="autoResize"
-        :placeholder="
-          !store.chatReady ? 'Chat unavailable'
-          : store.streaming ? 'Type to queue… (Enter to queue)'
-          : 'Start a new chat… (Enter to send)'
-        "
-        :disabled="!store.chatReady"
-        rows="1"
-      ></textarea>
-
-      <button
-        class="btn-send"
-        @click="onSubmit"
-        :disabled="!messageInput.trim() || !store.chatReady"
-      >
-        &uarr;
-      </button>
-    </div>
-  </div>
-</template>
-
-<style scoped>
-.dashboard-chat {
-  margin-top: 0.75rem;
-}
-
-.attached-note {
-  padding: 0.25rem 0;
-}
-.attached-note-pill {
-  display: inline-flex;
-  align-items: center;
-  gap: 0.25rem;
-  background: var(--color-primary);
-  color: #fff;
-  border-radius: 12px;
-  padding: 0.2rem 0.5rem;
-  font-size: 0.8rem;
-}
-.attached-note-remove {
-  background: none;
-  border: none;
-  color: rgba(255, 255, 255, 0.7);
-  cursor: pointer;
-  font-size: 1rem;
-  line-height: 1;
-  padding: 0 0.15rem;
-}
-.attached-note-remove:hover {
-  color: #fff;
-}
-
-.chat-input-bar {
-  display: flex;
-  align-items: center;
-  gap: 0.5rem;
-  padding: 0.5rem 0.5rem 0.5rem 0.75rem;
-  background: var(--color-input-bar-bg);
-  border-radius: 20px;
-  box-shadow: 0 2px 12px var(--color-shadow);
-}
-
-.chat-input-bar textarea {
-  flex: 1;
-  resize: none;
-  padding: 0.4rem 0.5rem;
-  border: none;
-  border-radius: 12px;
-  font-family: inherit;
-  font-size: 0.95rem;
-  background: transparent;
-  color: var(--color-input-bar-text);
-  outline: none;
-  max-height: 120px;
-  overflow-y: auto;
-}
-.chat-input-bar textarea::placeholder {
-  color: var(--color-input-bar-placeholder);
-}
-.chat-input-bar textarea:disabled {
-  opacity: 0.5;
-}
-
-/* Note picker */
-.note-picker-wrapper {
-  position: relative;
-}
-.btn-attach {
-  background: none;
-  border: none;
-  cursor: pointer;
-  color: var(--color-input-bar-text);
-  opacity: 0.6;
-  padding: 0.25rem;
-  display: flex;
-  align-items: center;
-  justify-content: center;
-}
-.btn-attach:hover {
-  opacity: 1;
-}
-.btn-attach:disabled {
-  opacity: 0.3;
-  cursor: default;
-}
-.note-picker-dropdown {
-  position: absolute;
-  bottom: calc(100% + 8px);
-  left: 0;
-  width: 280px;
-  background: var(--color-bg-card);
-  border: 1px solid var(--color-border);
-  border-radius: var(--radius-md);
-  box-shadow: 0 4px 16px var(--color-shadow);
-  z-index: 10;
-  overflow: hidden;
-}
-.note-picker-search {
-  width: 100%;
-  padding: 0.5rem 0.75rem;
-  border: none;
-  border-bottom: 1px solid var(--color-border);
-  background: transparent;
-  color: var(--color-text);
-  font-size: 0.9rem;
-  outline: none;
-  font-family: inherit;
-  box-sizing: border-box;
-}
-.note-picker-results {
-  max-height: 200px;
-  overflow-y: auto;
-}
-.note-picker-item {
-  padding: 0.5rem 0.75rem;
-  cursor: pointer;
-  font-size: 0.9rem;
-  overflow: hidden;
-  text-overflow: ellipsis;
-  white-space: nowrap;
-}
-.note-picker-item:hover {
-  background: var(--color-bg-secondary);
-}
-.note-picker-empty {
-  padding: 0.5rem 0.75rem;
-  color: var(--color-text-muted);
-  font-size: 0.85rem;
-}
-
-.btn-send {
-  width: 34px;
-  min-width: 34px;
-  height: 34px;
-  padding: 0;
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  background: var(--color-primary);
-  color: #fff;
-  border: none;
-  border-radius: 50%;
-  cursor: pointer;
-  font-size: 1.1rem;
-  flex-shrink: 0;
-}
-.btn-send:disabled {
-  opacity: 0.35;
-  cursor: default;
-}
-</style>

frontend/src/components/EventSlideOver.vue

@@ -68,9 +68,11 @@ function resetForm() {
   if (props.event) {
     title.value = props.event.title;
     allDay.value = props.event.all_day;
-    startDate.value = dateFromIso(props.event.start_dt);
+    // All-day events: use UTC date string directly to avoid timezone shifting
+    // (UTC midnight parsed through new Date() becomes the previous day in UTC-X zones)
+    startDate.value = props.event.all_day ? props.event.start_dt.slice(0, 10) : dateFromIso(props.event.start_dt);
     startTime.value = props.event.all_day ? "" : timeFromIso(props.event.start_dt);
-    endDate.value = props.event.end_dt ? dateFromIso(props.event.end_dt) : "";
+    endDate.value = props.event.end_dt ? (props.event.all_day ? props.event.end_dt.slice(0, 10) : dateFromIso(props.event.end_dt)) : "";
     endTime.value = props.event.end_dt && !props.event.all_day ? timeFromIso(props.event.end_dt) : "";
     description.value = props.event.description || "";
     location.value = props.event.location || "";

frontend/src/components/ToolCallCard.vue

@@ -270,8 +270,11 @@ async function openEventSlideOver(id: number | undefined) {
   }
 }
 
-function closeEventSlideOver() {
+function closeEventSlideOver(changed = false) {
   eventSlideOverOpen.value = false;
+  if (changed) {
+    document.dispatchEvent(new Event("fable:calendar-changed"));
+  }
 }
 </script>
 
@@ -522,9 +525,9 @@ function closeEventSlideOver() {
     :event="eventSlideOverEntry"
     initial-date=""
     @close="closeEventSlideOver"
-    @created="closeEventSlideOver"
-    @updated="closeEventSlideOver"
-    @deleted="closeEventSlideOver"
+    @created="() => closeEventSlideOver(true)"
+    @updated="() => closeEventSlideOver(true)"
+    @deleted="() => closeEventSlideOver(true)"
   />
 </template>
 

frontend/src/components/VoiceOverlay.vue

@@ -0,0 +1,538 @@
+<script setup lang="ts">
+/**
+ * VoiceOverlay — global floating push-to-talk button.
+ *
+ * Full flow: record → transcribe → send to voice conv → stream → TTS → play.
+ * Manages its own "voice" conversation; does NOT touch the chat store so it
+ * never disrupts an open chat session.
+ *
+ * Space bar toggles PTT when no input field is focused (wired from App.vue via
+ * the "voice:ptt-toggle" custom event).
+ */
+import { ref, onMounted, onUnmounted, computed } from 'vue'
+import { useVoiceRecorder } from '@/composables/useVoiceRecorder'
+import { useVoiceAudio } from '@/composables/useVoiceAudio'
+import { apiPost, apiSSEStream, getVoiceStatus, transcribeAudio, synthesiseSpeech } from '@/api/client'
+
+// ─── Voice service availability ──────────────────────────────────────────────
+const voiceEnabled = ref(false)
+
+async function checkVoice() {
+  try {
+    const s = await getVoiceStatus()
+    voiceEnabled.value = s.enabled && s.stt && s.tts
+  } catch { /* feature absent */ }
+}
+
+// ─── Conversation management ─────────────────────────────────────────────────
+const STORAGE_KEY = 'voice_overlay_conv_id'
+const convId = ref<number | null>(Number(localStorage.getItem(STORAGE_KEY)) || null)
+
+interface VoiceMessage { role: 'user' | 'assistant'; content: string }
+const messages = ref<VoiceMessage[]>([])
+
+async function ensureConversation(): Promise<number> {
+  if (convId.value) {
+    // Verify it still exists
+    try {
+      await fetch(`/api/chat/conversations/${convId.value}`)
+        .then((r) => { if (!r.ok) throw new Error('gone') })
+      return convId.value
+    } catch {
+      convId.value = null
+      localStorage.removeItem(STORAGE_KEY)
+    }
+  }
+  const conv = await apiPost<{ id: number }>('/api/chat/conversations', {
+    title: 'Voice',
+    conversation_type: 'voice',
+  })
+  convId.value = conv.id
+  localStorage.setItem(STORAGE_KEY, String(conv.id))
+  return conv.id
+}
+
+// ─── State machine ────────────────────────────────────────────────────────────
+type Phase = 'idle' | 'recording' | 'transcribing' | 'generating' | 'speaking' | 'error'
+const phase = ref<Phase>('idle')
+const errorMsg = ref('')
+const streamContent = ref('')
+const open = ref(false)
+
+const isBusy = computed(() => phase.value !== 'idle' && phase.value !== 'error')
+
+// ─── Composables ─────────────────────────────────────────────────────────────
+const recorder = useVoiceRecorder()
+const audio = useVoiceAudio()
+
+// ─── Core PTT flow ────────────────────────────────────────────────────────────
+async function startPtt() {
+  if (!voiceEnabled.value || isBusy.value) return
+  // Stop any in-progress TTS playback before opening the mic
+  audio.stop()
+  errorMsg.value = ''
+  open.value = true
+  await recorder.startRecording()
+  if (recorder.error.value) {
+    phase.value = 'error'
+    errorMsg.value = recorder.error.value
+    return
+  }
+  phase.value = 'recording'
+}
+
+async function stopPtt() {
+  if (phase.value !== 'recording') return
+
+  phase.value = 'transcribing'
+  let blob: Blob
+  try {
+    blob = await recorder.stopRecording()
+  } catch {
+    phase.value = 'error'
+    errorMsg.value = 'Recording failed'
+    return
+  }
+
+  let transcript: string
+  try {
+    const result = await transcribeAudio(blob)
+    transcript = result.transcript.trim()
+  } catch {
+    phase.value = 'error'
+    errorMsg.value = 'Transcription failed'
+    return
+  }
+
+  if (!transcript) {
+    phase.value = 'idle'
+    return
+  }
+
+  messages.value.push({ role: 'user', content: transcript })
+  scrollToBottom()
+
+  // Send to voice conversation
+  phase.value = 'generating'
+  streamContent.value = ''
+
+  let cid: number
+  try {
+    cid = await ensureConversation()
+  } catch {
+    phase.value = 'error'
+    errorMsg.value = 'Could not create voice conversation'
+    return
+  }
+
+  let assistantMessageId: number
+  try {
+    const resp = await apiPost<{ assistant_message_id: number }>(
+      `/api/chat/conversations/${cid}/messages`,
+      {
+        content: transcript,
+        user_timezone: Intl.DateTimeFormat().resolvedOptions().timeZone,
+      }
+    )
+    assistantMessageId = resp.assistant_message_id
+  } catch {
+    phase.value = 'error'
+    errorMsg.value = 'Failed to send message'
+    return
+  }
+
+  // Stream the response
+  await new Promise<void>((resolve) => {
+    const handle = apiSSEStream(
+      `/api/chat/conversations/${cid}/generation/stream`,
+      (event) => {
+        switch (event.event) {
+          case 'chunk':
+            streamContent.value += event.data.chunk as string
+            break
+          case 'done':
+            handle.close()
+            resolve()
+            break
+          case 'error':
+            handle.close()
+            resolve()
+            break
+        }
+      }
+    )
+    // Safety timeout: 3 minutes
+    setTimeout(() => { handle.close(); resolve() }, 180_000)
+  })
+
+  const responseText = streamContent.value.trim()
+  if (responseText) {
+    messages.value.push({ role: 'assistant', content: responseText })
+    streamContent.value = ''
+    scrollToBottom()
+  }
+
+  // Synthesise and play
+  if (responseText) {
+    phase.value = 'speaking'
+    try {
+      const wavBlob = await synthesiseSpeech(responseText)
+      await audio.play(wavBlob)
+    } catch {
+      // TTS failure is non-critical; show response text
+    }
+  }
+
+  phase.value = 'idle'
+  assistantMessageId // consumed; suppress lint
+}
+
+function cancelAll() {
+  recorder.stopRecording().catch(() => {})
+  audio.stop()
+  phase.value = 'idle'
+  streamContent.value = ''
+  errorMsg.value = ''
+}
+
+// ─── Space bar PTT (event from App.vue) ──────────────────────────────────────
+function onPttToggle() {
+  if (!voiceEnabled.value) return
+  if (phase.value === 'recording') {
+    stopPtt()
+  } else if (phase.value === 'idle' || phase.value === 'error') {
+    startPtt()
+  }
+}
+
+// ─── Scroll ───────────────────────────────────────────────────────────────────
+const transcriptEl = ref<HTMLElement | null>(null)
+function scrollToBottom() {
+  setTimeout(() => {
+    if (transcriptEl.value) {
+      transcriptEl.value.scrollTop = transcriptEl.value.scrollHeight
+    }
+  }, 50)
+}
+
+// ─── Lifecycle ────────────────────────────────────────────────────────────────
+onMounted(() => {
+  checkVoice()
+  document.addEventListener('voice:ptt-toggle', onPttToggle)
+})
+
+onUnmounted(() => {
+  document.removeEventListener('voice:ptt-toggle', onPttToggle)
+  cancelAll()
+})
+</script>
+
+<template>
+  <Teleport to="body">
+    <div v-if="voiceEnabled" class="voice-overlay">
+
+      <!-- Expanded transcript panel -->
+      <Transition name="panel-slide">
+        <div v-if="open && messages.length > 0" class="voice-panel">
+          <div class="voice-panel-header">
+            <span class="voice-panel-title">Voice</span>
+            <button class="voice-panel-close" @click="open = false" aria-label="Close">×</button>
+          </div>
+          <div class="voice-transcript" ref="transcriptEl">
+            <div
+              v-for="(msg, i) in messages.slice(-10)"
+              :key="i"
+              :class="['voice-msg', `voice-msg--${msg.role}`]"
+            >{{ msg.content }}</div>
+            <!-- Live streaming text -->
+            <div v-if="phase === 'generating' && streamContent" class="voice-msg voice-msg--assistant voice-msg--streaming">
+              {{ streamContent }}<span class="voice-cursor">▌</span>
+            </div>
+          </div>
+        </div>
+      </Transition>
+
+      <!-- PTT button -->
+      <div class="voice-btn-wrap">
+        <!-- Status label -->
+        <div v-if="phase !== 'idle'" class="voice-status-label">
+          <span v-if="phase === 'recording'">Recording…</span>
+          <span v-else-if="phase === 'transcribing'">Transcribing…</span>
+          <span v-else-if="phase === 'generating'">Thinking…</span>
+          <span v-else-if="phase === 'speaking'">Speaking…</span>
+          <span v-else-if="phase === 'error'" class="voice-error-label">{{ errorMsg || 'Error' }}</span>
+        </div>
+        <div v-else-if="!open || !messages.length" class="voice-status-label voice-hint">
+          Hold <kbd>Space</kbd> or tap
+        </div>
+
+        <!-- Cancel button (shown while busy or speaking) -->
+        <button
+          v-if="isBusy || audio.playing.value"
+          class="voice-cancel"
+          @click="cancelAll"
+          aria-label="Cancel"
+          title="Cancel"
+        >
+          <svg width="13" height="13" viewBox="0 0 24 24" fill="currentColor">
+            <path d="M19 6.41L17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12z"/>
+          </svg>
+        </button>
+
+        <!-- Main PTT button -->
+        <button
+          class="voice-ptt-btn"
+          :class="{
+            'voice-ptt--recording': phase === 'recording',
+            'voice-ptt--busy': phase === 'generating' || phase === 'transcribing',
+            'voice-ptt--speaking': phase === 'speaking' || audio.playing.value,
+            'voice-ptt--error': phase === 'error',
+          }"
+          @mousedown.prevent="startPtt"
+          @mouseup.prevent="stopPtt"
+          @touchstart.prevent="startPtt"
+          @touchend.prevent="stopPtt"
+          @click.prevent="phase === 'error' ? (phase = 'idle') : undefined"
+          :disabled="phase === 'transcribing' || phase === 'generating'"
+          :aria-label="phase === 'recording' ? 'Release to send' : 'Hold to speak'"
+          :title="phase === 'recording' ? 'Release to send' : 'Hold Space or tap to speak'"
+        >
+          <!-- Idle: mic icon -->
+          <svg v-if="phase === 'idle' || phase === 'error'" width="22" height="22" viewBox="0 0 24 24" fill="currentColor">
+            <path d="M12 14c1.66 0 3-1.34 3-3V5c0-1.66-1.34-3-3-3S9 3.34 9 5v6c0 1.66 1.34 3 3 3zm-1-9c0-.55.45-1 1-1s1 .45 1 1v6c0 .55-.45 1-1 1s-1-.45-1-1V5zm6 6c0 2.76-2.24 5-5 5s-5-2.24-5-5H5c0 3.53 2.61 6.43 6 6.92V21h2v-3.08c3.39-.49 6-3.39 6-6.92h-2z"/>
+          </svg>
+          <!-- Recording: waveform / stop icon -->
+          <svg v-else-if="phase === 'recording'" width="22" height="22" viewBox="0 0 24 24" fill="currentColor">
+            <path d="M6 19h4V5H6v14zm8-14v14h4V5h-4z"/>
+          </svg>
+          <!-- Busy: spinner dots -->
+          <span v-else-if="phase === 'transcribing' || phase === 'generating'" class="voice-spinner">
+            <span></span><span></span><span></span>
+          </span>
+          <!-- Speaking: sound waves -->
+          <svg v-else-if="phase === 'speaking'" width="22" height="22" viewBox="0 0 24 24" fill="currentColor">
+            <path d="M3 9v6h4l5 5V4L7 9H3zm13.5 3c0-1.77-1.02-3.29-2.5-4.03v8.05c1.48-.73 2.5-2.25 2.5-4.02zM14 3.23v2.06c2.89.86 5 3.54 5 6.71s-2.11 5.85-5 6.71v2.06c4.01-.91 7-4.49 7-8.77s-2.99-7.86-7-8.77z"/>
+          </svg>
+        </button>
+      </div>
+
+    </div>
+  </Teleport>
+</template>
+
+<style scoped>
+.voice-overlay {
+  position: fixed;
+  bottom: 2rem;
+  right: 1.5rem;
+  z-index: 8000;
+  display: flex;
+  flex-direction: column;
+  align-items: flex-end;
+  gap: 0.5rem;
+  pointer-events: none;
+}
+
+/* ─── Panel ──────────────────────────────────────────────────────────────── */
+.voice-panel {
+  pointer-events: all;
+  width: min(320px, 90vw);
+  background: var(--color-bg-card);
+  border: 1px solid var(--color-border);
+  border-radius: 14px;
+  box-shadow: 0 8px 32px var(--color-shadow, rgba(0,0,0,0.22));
+  overflow: hidden;
+  display: flex;
+  flex-direction: column;
+  max-height: 340px;
+}
+
+.voice-panel-header {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  padding: 0.6rem 0.85rem 0.5rem;
+  border-bottom: 1px solid var(--color-border);
+  flex-shrink: 0;
+}
+.voice-panel-title {
+  font-size: 0.75rem;
+  font-weight: 700;
+  text-transform: uppercase;
+  letter-spacing: 0.07em;
+  color: var(--color-primary);
+}
+.voice-panel-close {
+  background: none;
+  border: none;
+  font-size: 1.3rem;
+  line-height: 1;
+  color: var(--color-text-muted);
+  cursor: pointer;
+  padding: 0 0.1rem;
+}
+.voice-panel-close:hover { color: var(--color-text); }
+
+.voice-transcript {
+  flex: 1;
+  overflow-y: auto;
+  padding: 0.65rem 0.85rem;
+  display: flex;
+  flex-direction: column;
+  gap: 0.45rem;
+}
+
+.voice-msg {
+  font-size: 0.875rem;
+  line-height: 1.45;
+  padding: 0.4rem 0.65rem;
+  border-radius: 10px;
+  max-width: 88%;
+  white-space: pre-wrap;
+  word-break: break-word;
+}
+.voice-msg--user {
+  align-self: flex-end;
+  background: color-mix(in srgb, var(--color-primary) 12%, transparent);
+  border: 1px solid color-mix(in srgb, var(--color-primary) 25%, transparent);
+  color: var(--color-text);
+}
+.voice-msg--assistant {
+  align-self: flex-start;
+  background: var(--color-bg-secondary);
+  border: 1px solid var(--color-border);
+  color: var(--color-text);
+}
+.voice-msg--streaming { opacity: 0.85; }
+.voice-cursor {
+  display: inline-block;
+  animation: blink 0.9s step-end infinite;
+  margin-left: 1px;
+  color: var(--color-primary);
+}
+@keyframes blink { 0%, 100% { opacity: 1; } 50% { opacity: 0; } }
+
+/* ─── Button cluster ─────────────────────────────────────────────────────── */
+.voice-btn-wrap {
+  pointer-events: all;
+  display: flex;
+  flex-direction: column;
+  align-items: flex-end;
+  gap: 0.35rem;
+}
+
+.voice-status-label {
+  font-size: 0.72rem;
+  color: var(--color-text-muted);
+  background: var(--color-bg-card);
+  border: 1px solid var(--color-border);
+  border-radius: 6px;
+  padding: 0.18rem 0.5rem;
+  white-space: nowrap;
+  box-shadow: 0 2px 6px var(--color-shadow, rgba(0,0,0,0.12));
+}
+.voice-hint { opacity: 0.7; }
+.voice-hint kbd {
+  font-family: ui-monospace, monospace;
+  font-size: 0.68rem;
+  padding: 0.05rem 0.25rem;
+  border: 1px solid var(--color-border);
+  border-radius: 3px;
+  background: var(--color-bg-secondary);
+}
+.voice-error-label { color: #ef4444; }
+
+.voice-cancel {
+  background: var(--color-bg-card);
+  border: 1px solid var(--color-border);
+  border-radius: 50%;
+  width: 28px;
+  height: 28px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  cursor: pointer;
+  color: var(--color-text-muted);
+  box-shadow: 0 2px 6px var(--color-shadow, rgba(0,0,0,0.12));
+  transition: all 0.15s;
+}
+.voice-cancel:hover { color: #ef4444; border-color: #ef4444; }
+
+.voice-ptt-btn {
+  width: 58px;
+  height: 58px;
+  border-radius: 50%;
+  border: none;
+  background: linear-gradient(135deg, #6366f1, #4f46e5);
+  color: #fff;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  cursor: pointer;
+  box-shadow: 0 4px 16px rgba(99, 102, 241, 0.45);
+  transition: transform 0.12s, box-shadow 0.12s, background 0.2s;
+  touch-action: none;
+  user-select: none;
+  flex-shrink: 0;
+}
+.voice-ptt-btn:hover:not(:disabled) {
+  transform: scale(1.06);
+  box-shadow: 0 6px 20px rgba(99, 102, 241, 0.55);
+}
+.voice-ptt-btn:disabled { opacity: 0.6; cursor: not-allowed; }
+
+.voice-ptt--recording {
+  background: linear-gradient(135deg, #ef4444, #dc2626) !important;
+  box-shadow: 0 4px 16px rgba(239, 68, 68, 0.5) !important;
+  animation: ptt-pulse 0.9s ease-in-out infinite;
+}
+.voice-ptt--busy {
+  background: linear-gradient(135deg, #8b5cf6, #7c3aed) !important;
+  box-shadow: 0 4px 16px rgba(139, 92, 246, 0.45) !important;
+}
+.voice-ptt--speaking {
+  background: linear-gradient(135deg, #10b981, #059669) !important;
+  box-shadow: 0 4px 16px rgba(16, 185, 129, 0.45) !important;
+  animation: ptt-pulse 1.4s ease-in-out infinite;
+}
+.voice-ptt--error {
+  background: linear-gradient(135deg, #6b7280, #4b5563) !important;
+  box-shadow: none !important;
+}
+
+@keyframes ptt-pulse {
+  0%, 100% { transform: scale(1); }
+  50% { transform: scale(1.08); }
+}
+
+/* ─── Spinner dots ───────────────────────────────────────────────────────── */
+.voice-spinner {
+  display: flex;
+  gap: 4px;
+  align-items: center;
+}
+.voice-spinner span {
+  width: 5px;
+  height: 5px;
+  border-radius: 50%;
+  background: #fff;
+  animation: dot-bounce 1.2s ease-in-out infinite;
+}
+.voice-spinner span:nth-child(2) { animation-delay: 0.2s; }
+.voice-spinner span:nth-child(3) { animation-delay: 0.4s; }
+@keyframes dot-bounce {
+  0%, 80%, 100% { transform: scale(0.7); opacity: 0.5; }
+  40% { transform: scale(1); opacity: 1; }
+}
+
+/* ─── Transition ─────────────────────────────────────────────────────────── */
+.panel-slide-enter-active,
+.panel-slide-leave-active {
+  transition: opacity 0.2s ease, transform 0.2s ease;
+}
+.panel-slide-enter-from,
+.panel-slide-leave-to {
+  opacity: 0;
+  transform: translateY(8px);
+}
+</style>

frontend/src/components/WeatherCard.vue

@@ -6,6 +6,9 @@ interface ForecastDay {
   condition: string
   high: number
   low: number
+  precip_probability: number | null
+  precip_mm: number | null
+  windspeed_max: number
 }
 
 interface WeatherData {
@@ -17,6 +20,7 @@ interface WeatherData {
   today_low: number | null
   yesterday_high: number | null
   yesterday_low: number | null
+  wind_unit?: string
   forecast: ForecastDay[]
 }
 
@@ -25,6 +29,23 @@ const props = defineProps<{
   tempUnit?: string
 }>()
 
+function weatherIcon(condition: string): string {
+  const c = condition.toLowerCase()
+  if (c.includes('thunderstorm')) return '⛈️'
+  if (c.includes('hail')) return '🌨️'
+  if (c.includes('snow showers')) return '🌨️'
+  if (c.includes('snow')) return '❄️'
+  if (c.includes('rain showers: violent')) return '⛈️'
+  if (c.includes('rain showers')) return '🌦️'
+  if (c.includes('drizzle') || c.includes('rain')) return '🌧️'
+  if (c.includes('fog')) return '🌫️'
+  if (c.includes('overcast')) return '☁️'
+  if (c.includes('partly cloudy')) return '⛅'
+  if (c.includes('mainly clear')) return '🌤️'
+  if (c.includes('clear')) return '☀️'
+  return '🌡️'
+}
+
 const unit = computed(() => props.tempUnit ?? 'C')
 
 const tempDelta = computed(() => {
@@ -56,6 +77,7 @@ const fetchedAtLabel = computed(() => {
       <span class="weather-fetched-at">as of {{ fetchedAtLabel }}</span>
     </div>
     <div class="weather-current">
+      <span class="weather-icon">{{ weatherIcon(weather.condition) }}</span>
       <span class="weather-temp">{{ weather.current_temp }}°{{ unit }}</span>
       <span class="weather-condition">{{ weather.condition }}</span>
     </div>
@@ -66,8 +88,17 @@ const fetchedAtLabel = computed(() => {
     <div class="weather-forecast" v-if="weather.forecast.length">
       <div v-for="day in weather.forecast" :key="day.day" class="weather-forecast-day">
         <span class="forecast-day-name">{{ day.day }}</span>
+        <span class="forecast-icon">{{ weatherIcon(day.condition) }}</span>
         <span class="forecast-condition">{{ day.condition }}</span>
         <span class="forecast-temps">{{ day.high }}° / {{ day.low }}°</span>
+        <span v-if="day.precip_probability != null && day.precip_probability > 0" class="forecast-precip">
+          💧 {{ day.precip_probability }}%
+        </span>
+        <span v-else-if="day.precip_mm != null && day.precip_mm > 0" class="forecast-precip">
+          💧 {{ day.precip_mm.toFixed(1) }}mm
+        </span>
+        <span v-else class="forecast-precip forecast-precip--dry">💧 —</span>
+        <span class="forecast-wind">💨 {{ day.windspeed_max }} {{ weather.wind_unit ?? 'km/h' }}</span>
       </div>
     </div>
   </div>
@@ -110,6 +141,11 @@ const fetchedAtLabel = computed(() => {
   margin-bottom: 0.5rem;
 }
 
+.weather-icon {
+  font-size: 2rem;
+  line-height: 1;
+}
+
 .weather-temp {
   font-size: 2rem;
   font-weight: 700;
@@ -153,16 +189,34 @@ const fetchedAtLabel = computed(() => {
   font-weight: 600;
 }
 
+.forecast-icon {
+  font-size: 1.2rem;
+  line-height: 1;
+}
+
 .forecast-condition {
+  font-size: 0.7rem;
   color: var(--color-text-muted);
-  font-size: 0.75rem;
   text-align: center;
+  line-height: 1.2;
+  word-break: break-word;
 }
 
 .forecast-temps {
   white-space: nowrap;
 }
 
+.forecast-precip,
+.forecast-wind {
+  font-size: 0.72rem;
+  white-space: nowrap;
+  color: var(--color-text-muted);
+}
+
+.forecast-precip--dry {
+  opacity: 0.35;
+}
+
 .weather-unavailable {
   color: var(--color-text-muted);
   font-style: italic;

frontend/src/components/WorkspaceNoteEditor.vue

@@ -293,6 +293,8 @@ onMounted(async () => {
 });
 
 onUnmounted(() => { if (linkCheckTimer) clearTimeout(linkCheckTimer); });
+
+defineExpose({ reload: loadProjectNotes });
 </script>
 
 <template>

frontend/src/composables/useListenMode.ts

@@ -0,0 +1,14 @@
+import { ref, watch } from 'vue'
+
+const LISTEN_MODE_KEY = 'fa_listen_mode'
+
+// Shared across all views — persisted to localStorage
+const _listenMode = ref<boolean>(localStorage.getItem(LISTEN_MODE_KEY) === 'true')
+
+watch(_listenMode, (v) => {
+  localStorage.setItem(LISTEN_MODE_KEY, String(v))
+})
+
+export function useListenMode() {
+  return _listenMode
+}

frontend/src/composables/useStreamingTts.ts

@@ -0,0 +1,158 @@
+import { ref, watch, computed } from 'vue'
+import type { Ref, ComputedRef } from 'vue'
+import { synthesiseSpeech } from '@/api/client'
+import { useVoiceAudio } from '@/composables/useVoiceAudio'
+
+/** Minimum stripped character count to bother synthesizing. */
+const MIN_CHARS = 3
+
+/** Matches sentence-terminal punctuation followed by whitespace or end-of-string. */
+const SENTENCE_BOUNDARY = /[.!?]+(?=\s|$)/
+
+function stripMarkdown(text: string): string {
+  return text
+    .replace(/```[\s\S]*?```/g, '')
+    .replace(/`[^`]+`/g, (m) => m.slice(1, -1))
+    .replace(/#{1,6}\s+/g, '')
+    .replace(/\*\*([^*]+)\*\*/g, '$1')
+    .replace(/\*([^*]+)\*/g, '$1')
+    .replace(/\[([^\]]+)\]\([^)]+\)/g, '$1')
+    .replace(/^\s*[-*+]\s+/gm, '')
+    .replace(/\n{2,}/g, ' ')
+    .trim()
+}
+
+/**
+ * Extract completed sentences from `text` using SENTENCE_BOUNDARY.
+ * Returns the sentences found and the unconsumed remainder.
+ */
+function extractSentences(text: string): { sentences: string[]; remainder: string } {
+  const sentences: string[] = []
+  let remaining = text
+  let match: RegExpExecArray | null
+
+  while ((match = SENTENCE_BOUNDARY.exec(remaining)) !== null) {
+    const boundary = match.index + match[0].length
+    const sentence = remaining.slice(0, boundary).trim()
+    if (sentence) sentences.push(sentence)
+    remaining = remaining.slice(boundary)
+  }
+
+  return { sentences, remainder: remaining }
+}
+
+export interface UseStreamingTtsOptions {
+  streamingContent: Ref<string> | ComputedRef<string>
+  streaming: Ref<boolean> | ComputedRef<boolean>
+  enabled: Ref<boolean> | ComputedRef<boolean>
+}
+
+export interface UseStreamingTtsReturn {
+  /** True while any synthesis request is in-flight or audio is playing. */
+  speaking: ComputedRef<boolean>
+  /** Cancel all in-flight synthesis/playback and clear the queue. */
+  stop: () => void
+  /** Speak a complete text through the same sentence-chunking pipeline. */
+  speak: (text: string) => void
+}
+
+export function useStreamingTts(options: UseStreamingTtsOptions): UseStreamingTtsReturn {
+  const { streamingContent, streaming, enabled } = options
+  const audio = useVoiceAudio()
+
+  let sentenceBuffer = ''
+  let lastSeenLength = 0
+  let abortId = 0
+  let playQueue: Promise<void> = Promise.resolve()
+  const pendingCount = ref(0)
+
+  const speaking = computed(() => pendingCount.value > 0 || audio.playing.value)
+
+  function stop(): void {
+    abortId++
+    sentenceBuffer = ''
+    lastSeenLength = 0
+    playQueue = Promise.resolve()
+    audio.stop()
+    pendingCount.value = 0
+  }
+
+  async function enqueueSentence(sentence: string, myAbortId: number): Promise<void> {
+    const stripped = stripMarkdown(sentence)
+    if (stripped.length < MIN_CHARS) return
+
+    pendingCount.value++
+    let blob: Blob | null = null
+    try {
+      blob = await synthesiseSpeech(stripped)
+    } catch (e) {
+      console.warn('[StreamingTTS] Synthesis failed, retrying sentence', { sentence: stripped, error: e })
+      try {
+        blob = await synthesiseSpeech(stripped)
+      } catch (e2) {
+        console.warn('[StreamingTTS] Retry also failed, skipping sentence', { sentence: stripped, error: e2 })
+      }
+    } finally {
+      pendingCount.value--
+    }
+
+    if (!blob) return
+
+    // Capture blob for the closure — TS can't narrow after async gap
+    const resolvedBlob = blob
+    playQueue = playQueue.then(async () => {
+      if (abortId !== myAbortId) return
+      await audio.play(resolvedBlob)
+    })
+  }
+
+  function dispatchBuffer(flush: boolean): void {
+    if (!enabled.value) return
+    const myAbortId = abortId
+    const { sentences, remainder } = extractSentences(sentenceBuffer)
+    sentenceBuffer = flush ? '' : remainder
+    for (const sentence of sentences) {
+      enqueueSentence(sentence, myAbortId)
+    }
+    if (flush && remainder.trim().length >= MIN_CHARS) {
+      enqueueSentence(remainder.trim(), myAbortId)
+    }
+  }
+
+  // Watch accumulating content — extract new characters since last check
+  watch(streamingContent, (newContent) => {
+    if (!enabled.value) return
+    const delta = newContent.slice(lastSeenLength)
+    lastSeenLength = newContent.length
+    sentenceBuffer += delta
+    dispatchBuffer(false)
+  })
+
+  // Watch streaming flag — stop on new message start, flush on end
+  watch(streaming, (isStreaming) => {
+    if (!enabled.value) return
+    if (isStreaming) {
+      // New message starting — cancel previous response's audio
+      stop()
+    } else {
+      // Stream ended — flush any remaining fragment
+      dispatchBuffer(true)
+      lastSeenLength = 0
+    }
+  })
+
+  function speak(text: string): void {
+    stop()
+    if (!text.trim()) return
+    const myAbortId = abortId
+    const { sentences, remainder } = extractSentences(text)
+    for (const sentence of sentences) {
+      enqueueSentence(sentence, myAbortId)
+    }
+    if (remainder.trim().length >= MIN_CHARS) {
+      enqueueSentence(remainder.trim(), myAbortId)
+    }
+  }
+
+  return { speaking, stop, speak }
+}

frontend/src/composables/useVoiceAudio.ts

@@ -0,0 +1,72 @@
+import { ref, readonly } from 'vue'
+
+const VOLUME_KEY = 'fa_voice_volume'
+
+// Shared volume across all instances — persisted to localStorage per device
+const _volume = ref<number>(parseFloat(localStorage.getItem(VOLUME_KEY) ?? '1.0'))
+
+export function useVoiceAudio() {
+  const playing = ref(false)
+  const isSupported = typeof AudioContext !== 'undefined' || typeof (window as unknown as Record<string, unknown>).webkitAudioContext !== 'undefined'
+
+  let audioCtx: AudioContext | null = null
+  let currentSource: AudioBufferSourceNode | null = null
+
+  function _getCtx(): AudioContext {
+    if (!audioCtx || audioCtx.state === 'closed') {
+      const Ctx = window.AudioContext ?? (window as unknown as Record<string, typeof AudioContext>).webkitAudioContext
+      audioCtx = new Ctx()
+    }
+    return audioCtx
+  }
+
+  async function play(blob: Blob): Promise<void> {
+    stop()
+    const ctx = _getCtx()
+    if (ctx.state === 'suspended') await ctx.resume()
+
+    const arrayBuffer = await blob.arrayBuffer()
+    const audioBuffer = await ctx.decodeAudioData(arrayBuffer)
+
+    const source = ctx.createBufferSource()
+    source.buffer = audioBuffer
+
+    const gain = ctx.createGain()
+    gain.gain.value = _volume.value
+    source.connect(gain)
+    gain.connect(ctx.destination)
+
+    currentSource = source
+    playing.value = true
+
+    return new Promise<void>((resolve) => {
+      source.onended = () => {
+        playing.value = false
+        currentSource = null
+        resolve()
+      }
+      source.start(0)
+    })
+  }
+
+  function stop(): void {
+    if (currentSource) {
+      try { currentSource.stop() } catch { /* already stopped */ }
+      currentSource = null
+    }
+    playing.value = false
+  }
+
+  return {
+    playing: readonly(playing),
+    volume: _volume,
+    isSupported,
+    play,
+    stop,
+  }
+}
+
+export function setVoiceVolume(v: number) {
+  _volume.value = Math.max(0, Math.min(1, v))
+  localStorage.setItem(VOLUME_KEY, String(_volume.value))
+}

frontend/src/composables/useVoiceRecorder.ts

@@ -0,0 +1,92 @@
+import { ref, readonly } from 'vue'
+
+/**
+ * Push-to-talk recorder wrapping the browser MediaRecorder API.
+ *
+ * Usage:
+ *   const { recording, error, isSupported, startRecording, stopRecording } = useVoiceRecorder()
+ *   await startRecording()
+ *   const blob = await stopRecording()   // resolves with the recorded audio Blob
+ */
+export function useVoiceRecorder() {
+  const recording = ref(false)
+  const error = ref<string | null>(null)
+  const isSupported = typeof MediaRecorder !== 'undefined' && !!navigator.mediaDevices?.getUserMedia
+
+  let mediaRecorder: MediaRecorder | null = null
+  let chunks: Blob[] = []
+  let stream: MediaStream | null = null
+  let resolveStop: ((blob: Blob) => void) | null = null
+  let rejectStop: ((err: Error) => void) | null = null
+
+  async function startRecording(): Promise<void> {
+    error.value = null
+    if (!isSupported) {
+      error.value = 'Audio recording is not supported in this browser'
+      return
+    }
+    if (recording.value) return
+
+    try {
+      stream = await navigator.mediaDevices.getUserMedia({ audio: true })
+    } catch (e) {
+      error.value = 'Microphone access denied'
+      return
+    }
+
+    chunks = []
+    const mimeType = MediaRecorder.isTypeSupported('audio/webm;codecs=opus')
+      ? 'audio/webm;codecs=opus'
+      : MediaRecorder.isTypeSupported('audio/webm')
+        ? 'audio/webm'
+        : ''
+
+    mediaRecorder = mimeType ? new MediaRecorder(stream, { mimeType }) : new MediaRecorder(stream)
+
+    mediaRecorder.ondataavailable = (e) => {
+      if (e.data.size > 0) chunks.push(e.data)
+    }
+
+    mediaRecorder.onstop = () => {
+      const blob = new Blob(chunks, { type: mediaRecorder?.mimeType ?? 'audio/webm' })
+      chunks = []
+      stream?.getTracks().forEach((t) => t.stop())
+      stream = null
+      recording.value = false
+      resolveStop?.(blob)
+      resolveStop = null
+      rejectStop = null
+    }
+
+    mediaRecorder.onerror = () => {
+      recording.value = false
+      error.value = 'Recording error'
+      rejectStop?.(new Error('MediaRecorder error'))
+      resolveStop = null
+      rejectStop = null
+    }
+
+    mediaRecorder.start(100) // collect in 100ms chunks
+    recording.value = true
+  }
+
+  function stopRecording(): Promise<Blob> {
+    return new Promise((resolve, reject) => {
+      if (!mediaRecorder || !recording.value) {
+        reject(new Error('Not recording'))
+        return
+      }
+      resolveStop = resolve
+      rejectStop = reject
+      mediaRecorder.stop()
+    })
+  }
+
+  return {
+    recording: readonly(recording),
+    error: readonly(error),
+    isSupported,
+    startRecording,
+    stopRecording,
+  }
+}

frontend/src/router/index.ts

@@ -1,5 +1,4 @@
 import { createRouter, createWebHistory } from "vue-router";
-import HomeView from "@/views/HomeView.vue";
 import { useAuthStore } from "@/stores/auth";
 
 const router = createRouter({
@@ -7,8 +6,12 @@ const router = createRouter({
   routes: [
     {
       path: "/",
-      name: "home",
-      component: HomeView,
+      name: "knowledge",
+      component: () => import("@/views/KnowledgeView.vue"),
+    },
+    {
+      path: "/knowledge",
+      redirect: "/",
     },
     {
       path: "/login",

frontend/src/stores/notes.ts

@@ -80,6 +80,8 @@ export const useNotesStore = defineStore("notes", () => {
     tags?: string[];
     project_id?: number | null;
     milestone_id?: number | null;
+    note_type?: string;
+    metadata?: Record<string, string> | null;
   }): Promise<Note> {
     try {
       return await apiPost<Note>("/api/notes", data);
@@ -91,7 +93,7 @@ export const useNotesStore = defineStore("notes", () => {
 
   async function updateNote(
     id: number,
-    data: Partial<Pick<Note, "title" | "body" | "tags" | "project_id" | "milestone_id">>
+    data: Partial<Pick<Note, "title" | "body" | "tags" | "project_id" | "milestone_id" | "note_type" | "metadata">>
   ): Promise<Note> {
     try {
       const note = await apiPut<Note>(`/api/notes/${id}`, data);

frontend/src/stores/settings.ts

@@ -1,6 +1,6 @@
 import { ref, computed } from "vue";
 import { defineStore } from "pinia";
-import { apiGet, apiPut } from "@/api/client";
+import { apiGet, apiPut, getVoiceStatus } from "@/api/client";
 import { useToastStore } from "@/stores/toast";
 import type { AppSettings } from "@/types/settings";
 
@@ -16,6 +16,24 @@ export const useSettingsStore = defineStore("settings", () => {
     () => settings.value.default_model || ""
   );
 
+  // Voice status — checked once on login, refreshable from Settings
+  const voiceEnabled = ref(false);
+  const voiceSttReady = ref(false);
+  const voiceTtsReady = ref(false);
+
+  async function checkVoiceStatus() {
+    try {
+      const s = await getVoiceStatus();
+      voiceEnabled.value = s.enabled;
+      voiceSttReady.value = s.enabled && s.stt;
+      voiceTtsReady.value = s.enabled && s.tts;
+    } catch {
+      voiceEnabled.value = false;
+      voiceSttReady.value = false;
+      voiceTtsReady.value = false;
+    }
+  }
+
   async function fetchSettings() {
     loading.value = true;
     try {
@@ -44,6 +62,10 @@ export const useSettingsStore = defineStore("settings", () => {
     loading,
     assistantName,
     defaultModel,
+    voiceEnabled,
+    voiceSttReady,
+    voiceTtsReady,
+    checkVoiceStatus,
     fetchSettings,
     updateSettings,
   };

frontend/src/types/news.ts

@@ -3,6 +3,7 @@ export interface NewsItem {
   title: string
   url: string
   snippet: string
+  content: string
   published_at: string | null
   topics: string[]
   source: string

frontend/src/types/note.ts

@@ -1,5 +1,6 @@
 export type TaskStatus = "todo" | "in_progress" | "done" | "cancelled";
 export type TaskPriority = "none" | "low" | "medium" | "high";
+export type NoteType = "note" | "person" | "place" | "list";
 
 export interface Note {
   id: number;
@@ -18,6 +19,8 @@ export interface Note {
   recurrence_rule: Record<string, unknown> | null;
   recurrence_next_spawn_at: string | null;
   is_task: boolean;
+  note_type: NoteType;
+  metadata: Record<string, string>;
   created_at: string;
   updated_at: string;
 }

frontend/src/utils/dateFormat.ts

@@ -0,0 +1,65 @@
+/** Shared date/time formatting helpers used across Calendar, Home, Knowledge, etc. */
+
+function _isSameDay(a: Date, b: Date): boolean {
+  return a.getFullYear() === b.getFullYear() &&
+    a.getMonth() === b.getMonth() &&
+    a.getDate() === b.getDate()
+}
+
+/** "9:30 AM" */
+export function fmtTime(dt: string): string {
+  return new Date(dt).toLocaleTimeString(undefined, { hour: "numeric", minute: "2-digit" })
+}
+
+/** "Mon, Jan 15" or "Mon, Jan 15, 9:30 AM" */
+export function fmtDateTime(dt: string, allDay: boolean): string {
+  const d = new Date(dt)
+  const datePart = d.toLocaleDateString(undefined, { weekday: "short", month: "short", day: "numeric" })
+  if (allDay) return datePart
+  return `${datePart}, ${d.toLocaleTimeString(undefined, { hour: "numeric", minute: "2-digit" })}`
+}
+
+/**
+ * "Today 9:30 AM" / "Tomorrow 9:30 AM" / "Mon, Jan 15 9:30 AM"
+ * For all-day events returns "Today" / "Tomorrow" / "Mon, Jan 15"
+ */
+export function fmtRelativeDateTime(dt: string, allDay: boolean): string {
+  try {
+    const d = new Date(dt)
+    const now = new Date()
+    const tomorrow = new Date(now)
+    tomorrow.setDate(now.getDate() + 1)
+
+    const timeStr = allDay ? "" : ` ${d.toLocaleTimeString(undefined, { hour: "numeric", minute: "2-digit" })}`
+
+    if (_isSameDay(d, now)) return `Today${timeStr}`
+    if (_isSameDay(d, tomorrow)) return `Tomorrow${timeStr}`
+    return d.toLocaleDateString(undefined, { weekday: "short", month: "short", day: "numeric" }) + timeStr
+  } catch {
+    return dt
+  }
+}
+
+/**
+ * Label-only: "Today" / "Tomorrow" / "Mon, Jan 15"
+ */
+export function fmtDayLabel(dt: string): string {
+  try {
+    const d = new Date(dt)
+    const now = new Date()
+    const tomorrow = new Date(now)
+    tomorrow.setDate(now.getDate() + 1)
+    if (_isSameDay(d, now)) return "Today"
+    if (_isSameDay(d, tomorrow)) return "Tomorrow"
+    return d.toLocaleDateString(undefined, { weekday: "short", month: "short", day: "numeric" })
+  } catch {
+    return dt
+  }
+}
+
+/** "Jan 15" or "Jan 15, 9:30 AM" — compact, no weekday */
+export function fmtCompact(dt: string, allDay: boolean): string {
+  const d = new Date(dt)
+  if (allDay) return d.toLocaleDateString(undefined, { month: "short", day: "numeric" })
+  return d.toLocaleString(undefined, { month: "short", day: "numeric", hour: "numeric", minute: "2-digit" })
+}

frontend/src/utils/markdown.ts

@@ -38,7 +38,7 @@ const headingRenderer = {
 marked.use({ renderer: headingRenderer });
 
 const PURIFY_OPTS_FULL = {
-  ADD_ATTR: ["data-tag", "data-title"],
+  ADD_ATTR: ["data-tag", "data-title", "data-task-index"],
   FORCE_BODY: true,
 };
 
@@ -47,10 +47,22 @@ const PURIFY_OPTS_PREVIEW = {
   FORCE_BODY: true,
 };
 
-export function renderMarkdown(text: string): string {
+export function renderMarkdown(text: string, { interactiveCheckboxes = false } = {}): string {
   const stripped = stripFirstLineTags(text);
   const decoded = decodeEntities(stripped);
-  const html = marked(decoded) as string;
+  let html = marked(decoded) as string;
+
+  if (interactiveCheckboxes) {
+    // marked renders task-list checkboxes as <input ... disabled="" ...>.
+    // Remove disabled and stamp a sequential data-task-index so the viewer
+    // can identify which item was toggled regardless of attribute order.
+    html = html.replace(/ disabled=""/g, "");
+    let taskIdx = 0;
+    html = html.replace(/<input ([^>]*type="checkbox"[^>]*)>/g, (_m, attrs) => {
+      return `<input data-task-index="${taskIdx++}" ${attrs}>`;
+    });
+  }
+
   const withTags = linkifyTags(html);
   const withLinks = linkifyWikilinks(withTags);
   const sanitized = DOMPurify.sanitize(withLinks, PURIFY_OPTS_FULL);

frontend/src/views/BriefingView.vue

@@ -1,24 +1,22 @@
 <script setup lang="ts">
-import { ref, computed, onMounted, watch, nextTick } from 'vue'
+import { ref, computed, onMounted, onUnmounted, watch, nextTick } from 'vue'
 import { useBackgroundRefresh } from '@/composables/useBackgroundRefresh'
 import { useChatStore } from '@/stores/chat'
-import ChatMessage from '@/components/ChatMessage.vue'
+import ChatPanel from '@/components/ChatPanel.vue'
 import WeatherCard from '@/components/WeatherCard.vue'
 import BriefingSetupWizard from '@/components/BriefingSetupWizard.vue'
 import {
   apiGet,
+  apiPost,
   getBriefingConfig,
   getBriefingConversations,
   getBriefingToday,
-  getBriefingConvMessages,
   triggerBriefingSlot,
   postRssReaction,
   deleteRssReaction,
   getNewsItems,
   type BriefingConversation,
-  type BriefingMessage,
 } from '@/api/client'
-import type { Message } from '@/types/chat'
 import type { NewsItem } from '@/types/news'
 
 interface WeatherData {
@@ -30,7 +28,8 @@ interface WeatherData {
   today_low: number | null
   yesterday_high: number | null
   yesterday_low: number | null
-  forecast: { day: string; condition: string; high: number; low: number }[]
+  wind_unit?: string
+  forecast: { day: string; condition: string; high: number; low: number; precip_probability: number | null; precip_mm: number | null; windspeed_max: number }[]
 }
 
 const chatStore = useChatStore()
@@ -57,10 +56,6 @@ const todayConvId = ref<number | null>(null)
 
 const isToday = computed(() => selectedConvId.value === todayConvId.value)
 
-// Messages for selected conversation
-const messages = ref<BriefingMessage[]>([])
-const loadingMessages = ref(false)
-
 // Weather panel (left column)
 const weatherData = ref<WeatherData[]>([])
 const tempUnit = ref<string>('C')
@@ -89,17 +84,6 @@ async function loadNews() {
   } catch { /* silent */ }
 }
 
-// Scroll to bottom of messages
-const messagesEl = ref<HTMLElement | null>(null)
-
-function scrollToBottom() {
-  nextTick(() => {
-    if (messagesEl.value) {
-      messagesEl.value.scrollTop = messagesEl.value.scrollHeight
-    }
-  })
-}
-
 async function loadAll() {
   const [convList, today] = await Promise.all([
     getBriefingConversations(),
@@ -117,62 +101,32 @@ async function loadAll() {
       ]
     }
     selectedConvId.value = today.id
-    messages.value = today.messages
     await chatStore.fetchConversation(today.id)
   }
-  scrollToBottom()
 }
 
 watch(selectedConvId, async (id) => {
   if (!id) return
-  if (id === todayConvId.value) {
+  try {
     await chatStore.fetchConversation(id)
-    messages.value = (chatStore.currentConversation?.messages ?? []) as unknown as BriefingMessage[]
-    scrollToBottom()
+  } catch {
+    // Historical conversation unavailable — do nothing
+  }
+})
+
+async function discussArticle(item: NewsItem) {
+  if (!todayConvId.value || chatStore.streaming) return
+  if (!isToday.value) selectedConvId.value = todayConvId.value
+  await nextTick(() => {
+    document.querySelector('.briefing-center')?.scrollIntoView({ behavior: 'smooth', block: 'nearest' })
+  })
+  try {
+    await apiPost<{ assistant_message_id: number }>(`/api/briefing/articles/${item.id}/discuss`, { conv_id: todayConvId.value })
+  } catch {
     return
   }
-  loadingMessages.value = true
-  try {
-    messages.value = await getBriefingConvMessages(id)
-    scrollToBottom()
-  } finally {
-    loadingMessages.value = false
-  }
-})
-
-// Refresh messages after streaming ends
-watch(() => chatStore.streaming, async (streaming) => {
-  if (!streaming && selectedConvId.value === todayConvId.value && todayConvId.value) {
-    const today = await getBriefingToday().catch(() => null)
-    if (today) messages.value = today.messages
-    scrollToBottom()
-  }
-})
-
-// Input
-const input = ref('')
-const sending = ref(false)
-
-async function send() {
-  const text = input.value.trim()
-  if (!text || !todayConvId.value || chatStore.streaming || sending.value) return
-  if (chatStore.currentConversation?.id !== todayConvId.value) {
-    await chatStore.fetchConversation(todayConvId.value)
-  }
-  input.value = ''
-  sending.value = true
-  try {
-    await chatStore.sendMessage(text)
-  } finally {
-    sending.value = false
-  }
-}
-
-function onKeydown(e: KeyboardEvent) {
-  if (e.key === 'Enter' && !e.shiftKey) {
-    e.preventDefault()
-    send()
-  }
+  await chatStore.fetchConversation(todayConvId.value)
+  await chatStore.reconnectIfGenerating(todayConvId.value)
 }
 
 // RSS reactions: map of rss_item_id -> 'up' | 'down' | null
@@ -208,9 +162,10 @@ async function triggerNow() {
   triggering.value = true
   try {
     await triggerBriefingSlot('compilation')
-    await loadAll()
+    // Guard: user may have navigated away during the long compilation
+    if (_mounted) await loadAll()
   } finally {
-    triggering.value = false
+    if (_mounted) triggering.value = false
   }
 }
 
@@ -224,29 +179,13 @@ function convLabel(c: BriefingConversation): string {
   return c.title || 'Briefing'
 }
 
-// Convert BriefingMessage to Message for ChatMessage component
-function toMsg(m: BriefingMessage): Message {
-  return {
-    id: m.id,
-    conversation_id: -1,
-    role: m.role,
-    content: m.content,
-    context_note_id: null,
-    context_note_title: null,
-    created_at: m.created_at,
-  }
-}
-
 // ─── Background refresh (no-flicker) ─────────────────────────────────────────
 async function _backgroundRefreshMessages() {
   try {
     const today = await getBriefingToday()
     if (!today) return
-    const fresh = today.messages
-    const last = fresh[fresh.length - 1]
-    const cur = messages.value[messages.value.length - 1]
-    if (fresh.length !== messages.value.length || last?.content !== cur?.content) {
-      messages.value = fresh
+    if (_mounted && isToday.value && chatStore.currentConversation?.id === todayConvId.value) {
+      await chatStore.fetchConversation(today.id)
     }
     await loadNews()
   } catch { /* silent — don't disturb the UI on network hiccup */ }
@@ -258,6 +197,9 @@ useBackgroundRefresh(
   () => !chatStore.streaming && isToday.value && !!todayConvId.value,
 )
 
+let _mounted = true
+onUnmounted(() => { _mounted = false })
+
 onMounted(async () => {
   await checkSetup()
   if (!showWizard.value) await loadAll()
@@ -306,58 +248,13 @@ onMounted(async () => {
 
       <!-- Center column: Chat -->
       <div class="briefing-center">
-        <div class="briefing-messages-wrap" ref="messagesEl">
-          <div v-if="loadingMessages" class="briefing-loading">Loading…</div>
-          <template v-else>
-            <div v-if="!messages.length" class="briefing-empty">
-              <p>No briefing yet for today.</p>
-              <p class="briefing-empty-hint">Click "Refresh" to generate a briefing now, or wait for the scheduled slot.</p>
-            </div>
-            <div v-else class="briefing-messages">
-              <template v-for="msg in messages" :key="msg.id">
-                <ChatMessage
-                  :message="toMsg(msg)"
-                  :is-streaming="false"
-                />
-              </template>
-              <!-- Live streaming bubble for today -->
-              <ChatMessage
-                v-if="isToday && chatStore.streaming && chatStore.streamingContent"
-                :message="{
-                  id: -1,
-                  conversation_id: todayConvId ?? -1,
-                  role: 'assistant',
-                  content: chatStore.streamingContent,
-                  context_note_id: null,
-                  context_note_title: null,
-                  created_at: new Date().toISOString(),
-                }"
-                :is-streaming="true"
-              />
-            </div>
-          </template>
-        </div>
-
-        <!-- Input bar (today only) -->
-        <div v-if="isToday" class="briefing-input-bar">
-          <textarea
-            v-model="input"
-            class="briefing-input"
-            placeholder="Reply to your briefing…"
-            rows="1"
-            @keydown="onKeydown"
-          ></textarea>
-          <button
-            class="btn-send"
-            @click="send"
-            :disabled="!input.trim() || chatStore.streaming || sending"
-            aria-label="Send"
-          >
-            <svg width="18" height="18" viewBox="0 0 24 24" fill="currentColor">
-              <path d="M2 21l21-9L2 3v7l15 2-15 2v7z"/>
-            </svg>
-          </button>
-        </div>
+        <ChatPanel
+          variant="full"
+          briefingMode
+          :readOnly="!isToday"
+          placeholder="Reply to your briefing…"
+          class="briefing-chat-panel"
+        />
       </div>
 
       <!-- Right column: News -->
@@ -398,6 +295,12 @@ onMounted(async () => {
               @click="handleReaction(item.id, 'down')"
               title="Not interested"
             >👎</button>
+            <button
+              v-if="isToday && todayConvId"
+              class="reaction-btn discuss-btn"
+              @click="discussArticle(item)"
+              title="Discuss in briefing chat"
+            >💬</button>
           </div>
         </div>
       </div>
@@ -515,76 +418,11 @@ onMounted(async () => {
   min-height: 0;
 }
 
-.briefing-messages-wrap {
+.briefing-chat-panel {
   flex: 1;
-  overflow-y: auto;
-  padding: 1rem;
   min-height: 0;
 }
 
-.briefing-loading,
-.briefing-empty {
-  text-align: center;
-  padding: 3rem 1rem;
-  color: var(--color-text-muted);
-  font-size: 0.9rem;
-}
-
-.briefing-empty-hint {
-  font-size: 0.8rem;
-  opacity: 0.7;
-  margin-top: 0.5rem;
-}
-
-.briefing-messages {
-  display: flex;
-  flex-direction: column;
-  gap: 0.5rem;
-}
-
-.briefing-input-bar {
-  display: flex;
-  gap: 0.5rem;
-  align-items: flex-end;
-  padding: 0.75rem 1rem 1rem;
-  border-top: 1px solid var(--color-border);
-  flex-shrink: 0;
-}
-
-.briefing-input {
-  flex: 1;
-  padding: 0.6rem 0.8rem;
-  border: 1px solid var(--color-border);
-  border-radius: 10px;
-  background: var(--color-bg-card);
-  color: var(--color-text);
-  font-size: 0.9rem;
-  resize: none;
-  outline: none;
-  font-family: inherit;
-  line-height: 1.4;
-  max-height: 120px;
-  overflow-y: auto;
-  transition: border-color 0.15s;
-}
-.briefing-input:focus { border-color: var(--color-primary); }
-
-.btn-send {
-  padding: 0.55rem 0.75rem;
-  background: linear-gradient(135deg, #6366f1, #4f46e5);
-  color: #fff;
-  border: none;
-  border-radius: 10px;
-  cursor: pointer;
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  transition: opacity 0.15s;
-  flex-shrink: 0;
-}
-.btn-send:disabled { opacity: 0.4; cursor: not-allowed; }
-.btn-send:hover:not(:disabled) { opacity: 0.9; }
-
 /* ─── Right column (News) ────────────────────────────────────────────────── */
 
 .briefing-right {

frontend/src/views/CalendarView.vue

@@ -1,5 +1,5 @@
 <script setup lang="ts">
-import { ref } from "vue";
+import { ref, computed, onMounted, onUnmounted } from "vue";
 import FullCalendar from "@fullcalendar/vue3";
 import dayGridPlugin from "@fullcalendar/daygrid";
 import timeGridPlugin from "@fullcalendar/timegrid";
@@ -9,12 +9,13 @@ import type { DateClickArg, EventResizeDoneArg } from "@fullcalendar/interaction
 import { listEvents, updateEvent, type EventEntry } from "@/api/client";
 import EventSlideOver from "@/components/EventSlideOver.vue";
 import { useToastStore } from "@/stores/toast";
+import { fmtTime, fmtDateTime, fmtDayLabel } from "@/utils/dateFormat";
 
 const toast = useToastStore();
 const calendarRef = ref<InstanceType<typeof FullCalendar> | null>(null);
 
 // Slide-over state
-const slideOverEvent = ref<EventEntry | null>(null);  // null = create mode
+const slideOverEvent = ref<EventEntry | null>(null);
 const slideOverOpen = ref(false);
 const slideOverDate = ref<string>("");
 
@@ -34,15 +35,17 @@ function closeSlideOver() {
   slideOverOpen.value = false;
 }
 
-// Event entry cache keyed by id for quick lookups when clicking FC events
+// Event entry cache keyed by id
 const eventCache = new Map<number, EventEntry>();
 
 function toFcEvent(e: EventEntry) {
+  // For all-day events pass date-only strings so FullCalendar never shifts
+  // the date through timezone conversion (UTC midnight → previous day in UTC-X).
   return {
     id: String(e.id),
     title: e.title,
-    start: e.start_dt,
-    end: e.end_dt ?? undefined,
+    start: e.all_day ? e.start_dt.slice(0, 10) : e.start_dt,
+    end: e.all_day ? (e.end_dt?.slice(0, 10) ?? undefined) : (e.end_dt ?? undefined),
     allDay: e.all_day,
     backgroundColor: e.color || undefined,
     borderColor: e.color || undefined,
@@ -50,6 +53,128 @@ function toFcEvent(e: EventEntry) {
   };
 }
 
+// ── Upcoming events list ───────────────────────────────────────────────────
+const upcomingEvents = ref<EventEntry[]>([]);
+
+async function loadUpcoming() {
+  const now = new Date();
+  const end = new Date(now.getTime() + 28 * 86_400_000); // 4 weeks
+  try {
+    const entries = await listEvents(now.toISOString(), end.toISOString());
+    upcomingEvents.value = entries.sort(
+      (a, b) => new Date(a.start_dt).getTime() - new Date(b.start_dt).getTime()
+    );
+  } catch { /* silent */ }
+}
+
+onMounted(loadUpcoming);
+
+// ── Month/year picker ──────────────────────────────────────────────────────
+const currentViewYear = ref(new Date().getFullYear());
+const currentViewMonth = ref(new Date().getMonth());
+const pickerOpen = ref(false);
+const pickerYear = ref(new Date().getFullYear());
+const pickerStyle = ref<Record<string, string>>({});
+const pickerEl = ref<HTMLElement | null>(null);
+
+const MONTH_NAMES = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"] as const;
+
+function handleDatesSet(arg: { view: { currentStart: Date } }) {
+  const d = arg.view.currentStart;
+  currentViewYear.value = d.getFullYear();
+  currentViewMonth.value = d.getMonth();
+}
+
+function jumpTo(year: number, month: number) {
+  calendarRef.value?.getApi().gotoDate(new Date(year, month, 1));
+  pickerOpen.value = false;
+}
+
+// ── Event popover ──────────────────────────────────────────────────────────
+const popover = ref<EventEntry | null>(null);
+const popoverStyle = ref<Record<string, string>>({});
+const popoverEl = ref<HTMLElement | null>(null);
+
+function showPopover(entry: EventEntry, clickEvent: MouseEvent) {
+  popover.value = entry;
+  nextTickPositionPopover(clickEvent);
+}
+
+function nextTickPositionPopover(clickEvent: MouseEvent) {
+  // Position after DOM update
+  requestAnimationFrame(() => {
+    const vw = window.innerWidth;
+    const vh = window.innerHeight;
+    const pw = 280;
+    const ph = 220; // approximate
+    let left = clickEvent.clientX + 8;
+    let top = clickEvent.clientY + 8;
+    if (left + pw > vw - 16) left = clickEvent.clientX - pw - 8;
+    if (top + ph > vh - 16) top = clickEvent.clientY - ph - 8;
+    popoverStyle.value = {
+      position: "fixed",
+      left: `${Math.max(8, left)}px`,
+      top: `${Math.max(8, top)}px`,
+      zIndex: "9999",
+    };
+  });
+}
+
+function closePopover() {
+  popover.value = null;
+}
+
+function onPopoverEdit() {
+  if (popover.value) {
+    openEdit(popover.value);
+    closePopover();
+  }
+}
+
+// Close popover / open picker on outside or title click
+function onDocClick(e: MouseEvent) {
+  const target = e.target as HTMLElement;
+  // Title click → toggle month/year picker
+  const titleEl = target.closest(".fc-toolbar-title");
+  if (titleEl) {
+    if (!pickerOpen.value) {
+      pickerYear.value = currentViewYear.value;
+      const rect = titleEl.getBoundingClientRect();
+      const left = Math.max(8, Math.min(rect.left + rect.width / 2 - 140, window.innerWidth - 296));
+      pickerStyle.value = {
+        position: "fixed",
+        top: `${rect.bottom + 6}px`,
+        left: `${left}px`,
+        zIndex: "9999",
+      };
+    }
+    pickerOpen.value = !pickerOpen.value;
+    return;
+  }
+  // Close picker on outside click
+  if (pickerOpen.value && pickerEl.value && !pickerEl.value.contains(target)) {
+    pickerOpen.value = false;
+  }
+  // Close event popover on outside click
+  if (popover.value && popoverEl.value && !popoverEl.value.contains(target)) {
+    closePopover();
+  }
+}
+
+function onCalendarChanged() {
+  calendarRef.value?.getApi().refetchEvents();
+}
+
+onMounted(() => {
+  document.addEventListener("mousedown", onDocClick);
+  document.addEventListener("fable:calendar-changed", onCalendarChanged);
+});
+onUnmounted(() => {
+  document.removeEventListener("mousedown", onDocClick);
+  document.removeEventListener("fable:calendar-changed", onCalendarChanged);
+});
+
+// ── Calendar callbacks ─────────────────────────────────────────────────────
 async function loadEvents(
   fetchInfo: { startStr: string; endStr: string },
   successCallback: (events: object[]) => void,
@@ -60,19 +185,21 @@ async function loadEvents(
     eventCache.clear();
     for (const e of entries) eventCache.set(e.id, e);
     successCallback(entries.map(toFcEvent));
+    loadUpcoming();
   } catch (err) {
     failureCallback(err instanceof Error ? err : new Error(String(err)));
   }
 }
 
 function handleDateClick(arg: DateClickArg) {
+  closePopover();
   openCreate(arg.dateStr);
 }
 
 function handleEventClick(arg: EventClickArg) {
   const id = arg.event.extendedProps.entryId as number;
   const entry = eventCache.get(id);
-  if (entry) openEdit(entry);
+  if (entry) showPopover(entry, arg.jsEvent as MouseEvent);
 }
 
 async function handleEventDrop(arg: EventDropArg) {
@@ -82,6 +209,7 @@ async function handleEventDrop(arg: EventDropArg) {
   try {
     const updated = await updateEvent(id, { start_dt, end_dt, all_day: arg.event.allDay });
     eventCache.set(id, updated);
+    loadUpcoming();
   } catch {
     arg.revert();
     toast.show("Failed to move event", "error");
@@ -95,6 +223,7 @@ async function handleEventResize(arg: EventResizeDoneArg) {
   try {
     const updated = await updateEvent(id, { start_dt, end_dt });
     eventCache.set(id, updated);
+    loadUpcoming();
   } catch {
     arg.revert();
     toast.show("Failed to resize event", "error");
@@ -105,11 +234,11 @@ function onCreated(entry: EventEntry) {
   eventCache.set(entry.id, entry);
   calendarRef.value?.getApi().addEvent(toFcEvent(entry));
   closeSlideOver();
+  loadUpcoming();
 }
 
 function onUpdated(entry: EventEntry) {
   eventCache.set(entry.id, entry);
-  // Replace the event in FullCalendar
   const api = calendarRef.value?.getApi();
   if (api) {
     const existing = api.getEventById(String(entry.id));
@@ -119,15 +248,15 @@ function onUpdated(entry: EventEntry) {
     }
   }
   closeSlideOver();
+  loadUpcoming();
 }
 
 function onDeleted(id: number) {
   eventCache.delete(id);
   const api = calendarRef.value?.getApi();
-  if (api) {
-    api.getEventById(String(id))?.remove();
-  }
+  if (api) api.getEventById(String(id))?.remove();
   closeSlideOver();
+  upcomingEvents.value = upcomingEvents.value.filter((e) => e.id !== id);
 }
 
 const calendarOptions: CalendarOptions = {
@@ -142,12 +271,28 @@ const calendarOptions: CalendarOptions = {
     right: "dayGridMonth,timeGridWeek,timeGridDay",
   },
   events: loadEvents,
+  datesSet: handleDatesSet,
   dateClick: handleDateClick,
   eventClick: handleEventClick,
   eventDrop: handleEventDrop,
   eventResize: handleEventResize,
   height: "auto",
 };
+
+// Group upcoming events by day label
+const upcomingGrouped = computed(() => {
+  const groups: { label: string; date: string; events: EventEntry[] }[] = [];
+  for (const e of upcomingEvents.value) {
+    const label = fmtDayLabel(e.start_dt);
+    const existing = groups.find((g) => g.label === label);
+    if (existing) {
+      existing.events.push(e);
+    } else {
+      groups.push({ label, date: e.start_dt, events: [e] });
+    }
+  }
+  return groups;
+});
 </script>
 
 <template>
@@ -163,6 +308,99 @@ const calendarOptions: CalendarOptions = {
       <FullCalendar ref="calendarRef" :options="calendarOptions" />
     </div>
 
+    <!-- ── Upcoming events strip ───────────────────────────────────────── -->
+    <div v-if="upcomingEvents.length" class="upcoming-section">
+      <h2 class="upcoming-title">Upcoming</h2>
+      <div class="upcoming-groups">
+        <div v-for="group in upcomingGrouped" :key="group.label" class="upcoming-group">
+          <div class="upcoming-day-label">{{ group.label }}</div>
+          <div class="upcoming-cards">
+            <div
+              v-for="ev in group.events"
+              :key="ev.id"
+              class="upcoming-card"
+              :style="ev.color ? { '--ev-color': ev.color } : {}"
+              @click="openEdit(ev)"
+            >
+              <div class="upcoming-card-accent"></div>
+              <div class="upcoming-card-body">
+                <div class="upcoming-card-title">{{ ev.title }}</div>
+                <div class="upcoming-card-time">
+                  <template v-if="ev.all_day">All day</template>
+                  <template v-else>
+                    {{ fmtTime(ev.start_dt) }}
+                    <span v-if="ev.end_dt"> – {{ fmtTime(ev.end_dt) }}</span>
+                  </template>
+                </div>
+                <div v-if="ev.location" class="upcoming-card-meta">
+                  <svg width="11" height="11" viewBox="0 0 24 24" fill="currentColor" style="flex-shrink:0">
+                    <path d="M12 2C8.13 2 5 5.13 5 9c0 5.25 7 13 7 13s7-7.75 7-13c0-3.87-3.13-7-7-7zm0 9.5c-1.38 0-2.5-1.12-2.5-2.5s1.12-2.5 2.5-2.5 2.5 1.12 2.5 2.5-1.12 2.5-2.5 2.5z"/>
+                  </svg>
+                  {{ ev.location }}
+                </div>
+                <div v-if="ev.description" class="upcoming-card-desc">{{ ev.description }}</div>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+
+    <!-- ── Event popover ───────────────────────────────────────────────── -->
+    <Teleport to="body">
+      <div
+        v-if="popover"
+        ref="popoverEl"
+        class="event-popover"
+        :style="popoverStyle"
+      >
+        <div class="popover-accent" :style="popover.color ? { background: popover.color } : {}"></div>
+        <div class="popover-content">
+          <div class="popover-title">{{ popover.title }}</div>
+          <div class="popover-time">
+            <template v-if="popover.all_day">
+              {{ fmtDateTime(popover.start_dt, true) }}
+            </template>
+            <template v-else>
+              {{ fmtDateTime(popover.start_dt, false) }}
+              <span v-if="popover.end_dt"> – {{ fmtTime(popover.end_dt) }}</span>
+            </template>
+          </div>
+          <div v-if="popover.location" class="popover-meta">
+            <svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor" style="flex-shrink:0;margin-top:1px">
+              <path d="M12 2C8.13 2 5 5.13 5 9c0 5.25 7 13 7 13s7-7.75 7-13c0-3.87-3.13-7-7-7zm0 9.5c-1.38 0-2.5-1.12-2.5-2.5s1.12-2.5 2.5-2.5 2.5 1.12 2.5 2.5-1.12 2.5-2.5 2.5z"/>
+            </svg>
+            {{ popover.location }}
+          </div>
+          <div v-if="popover.description" class="popover-desc">{{ popover.description }}</div>
+          <div class="popover-actions">
+            <button class="popover-btn popover-btn--edit" @click="onPopoverEdit">Edit</button>
+            <button class="popover-btn popover-btn--close" @click="closePopover">Close</button>
+          </div>
+        </div>
+      </div>
+    </Teleport>
+
+    <!-- ── Month/year picker ──────────────────────────────────────────── -->
+    <Teleport to="body">
+      <div v-if="pickerOpen" ref="pickerEl" class="month-picker" :style="pickerStyle">
+        <div class="picker-year-row">
+          <button class="picker-year-btn" @click="pickerYear--" aria-label="Previous year">‹</button>
+          <span class="picker-year-label">{{ pickerYear }}</span>
+          <button class="picker-year-btn" @click="pickerYear++" aria-label="Next year">›</button>
+        </div>
+        <div class="picker-months">
+          <button
+            v-for="(name, i) in MONTH_NAMES"
+            :key="i"
+            class="picker-month"
+            :class="{ active: pickerYear === currentViewYear && i === currentViewMonth }"
+            @click="jumpTo(pickerYear, i)"
+          >{{ name }}</button>
+        </div>
+      </div>
+    </Teleport>
+
     <EventSlideOver
       v-if="slideOverOpen"
       :event="slideOverEvent"
@@ -177,7 +415,7 @@ const calendarOptions: CalendarOptions = {
 
 <style scoped>
 .calendar-view {
-  max-width: 1200px;
+  max-width: var(--page-max-width);
   margin: 0 auto;
   padding: 1.5rem 1.5rem 3rem;
 }
@@ -210,7 +448,7 @@ const calendarOptions: CalendarOptions = {
 .btn-new-event:hover { opacity: 0.88; }
 
 .fc-wrapper {
-  background: var(--color-surface, #1a1b1e);
+  background: var(--color-surface);
   border: 1px solid var(--color-border, #2a2b30);
   border-radius: var(--radius-lg, 18px);
   padding: 1rem;
@@ -225,9 +463,17 @@ const calendarOptions: CalendarOptions = {
 :deep(.fc-toolbar-title) {
   font-size: 1.1rem;
   font-weight: 600;
+  cursor: pointer;
+  border-radius: 6px;
+  padding: 2px 8px;
+  transition: background 0.15s;
+  user-select: none;
+}
+:deep(.fc-toolbar-title:hover) {
+  background: rgba(255,255,255,0.07);
 }
 :deep(.fc-button) {
-  background: var(--color-input-bg, #111113);
+  background: var(--color-input-bg, var(--color-bg));
   border: 1px solid var(--color-border, #2a2b30);
   color: var(--color-text-muted, #888);
   font-size: 0.82rem;
@@ -267,4 +513,249 @@ const calendarOptions: CalendarOptions = {
 :deep(.fc-scrollgrid th) { border-color: var(--color-border, #2a2b30); }
 :deep(.fc-daygrid-day) { cursor: pointer; }
 :deep(.fc-daygrid-day:hover) { background: rgba(255,255,255,0.03); }
+
+/* ── Month/year picker ──────────────────────────────────────────────────── */
+.month-picker {
+  background: var(--color-bg-card);
+  border: 1px solid var(--color-border, #2a2b30);
+  border-radius: 12px;
+  box-shadow: 0 8px 32px rgba(0,0,0,0.5);
+  width: 280px;
+  padding: 12px 14px;
+}
+
+.picker-year-row {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  margin-bottom: 12px;
+}
+
+.picker-year-label {
+  font-size: 0.95rem;
+  font-weight: 700;
+  color: var(--color-text, #e8e9f0);
+}
+
+.picker-year-btn {
+  background: none;
+  border: 1px solid var(--color-border, #2a2b30);
+  border-radius: 6px;
+  color: var(--color-text-muted, #888);
+  cursor: pointer;
+  padding: 2px 10px;
+  font-size: 1rem;
+  line-height: 1.4;
+  transition: color 0.15s, border-color 0.15s;
+}
+.picker-year-btn:hover {
+  color: var(--color-text, #e8e9f0);
+  border-color: rgba(255,255,255,0.25);
+}
+
+.picker-months {
+  display: grid;
+  grid-template-columns: repeat(4, 1fr);
+  gap: 4px;
+}
+
+.picker-month {
+  padding: 7px 4px;
+  border: none;
+  border-radius: 7px;
+  background: transparent;
+  color: var(--color-text, #e8e9f0);
+  cursor: pointer;
+  font-size: 0.84rem;
+  text-align: center;
+  transition: background 0.12s, color 0.12s;
+}
+.picker-month:hover {
+  background: rgba(255,255,255,0.08);
+}
+.picker-month.active {
+  background: rgba(99,102,241,0.22);
+  color: var(--color-primary, #818cf8);
+  font-weight: 700;
+}
+
+/* ── Upcoming strip ─────────────────────────────────────────────────────── */
+.upcoming-section {
+  margin-top: 2rem;
+}
+
+.upcoming-title {
+  font-size: 1rem;
+  font-weight: 600;
+  color: var(--color-text-muted, #888);
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+  font-size: 0.78rem;
+  margin: 0 0 1rem;
+}
+
+.upcoming-groups {
+  display: flex;
+  flex-direction: column;
+  gap: 1.5rem;
+}
+
+.upcoming-day-label {
+  font-size: 0.8rem;
+  font-weight: 700;
+  color: var(--color-text-muted, #888);
+  text-transform: uppercase;
+  letter-spacing: 0.05em;
+  margin-bottom: 0.5rem;
+}
+
+.upcoming-cards {
+  display: flex;
+  flex-direction: column;
+  gap: 0.5rem;
+}
+
+.upcoming-card {
+  display: flex;
+  align-items: stretch;
+  gap: 0;
+  background: var(--color-surface);
+  border: 1px solid var(--color-border, #2a2b30);
+  border-radius: 10px;
+  overflow: hidden;
+  cursor: pointer;
+  transition: border-color 0.15s, background 0.15s;
+}
+.upcoming-card:hover {
+  border-color: color-mix(in srgb, var(--color-primary) 40%, transparent);
+  background: var(--color-bg-secondary);
+}
+
+.upcoming-card-accent {
+  width: 4px;
+  flex-shrink: 0;
+  background: var(--ev-color, #6366f1);
+}
+
+.upcoming-card-body {
+  padding: 0.6rem 0.85rem;
+  flex: 1;
+  min-width: 0;
+}
+
+.upcoming-card-title {
+  font-size: 0.9rem;
+  font-weight: 600;
+  color: var(--color-text, #e8e9f0);
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.upcoming-card-time {
+  font-size: 0.78rem;
+  color: var(--color-text-muted, #888);
+  margin-top: 0.15rem;
+}
+
+.upcoming-card-meta {
+  display: flex;
+  align-items: flex-start;
+  gap: 0.3rem;
+  font-size: 0.78rem;
+  color: var(--color-text-muted, #888);
+  margin-top: 0.25rem;
+}
+
+.upcoming-card-desc {
+  font-size: 0.8rem;
+  color: var(--color-text-secondary, #aaa);
+  margin-top: 0.3rem;
+  display: -webkit-box;
+  -webkit-line-clamp: 2;
+  -webkit-box-orient: vertical;
+  overflow: hidden;
+}
+
+/* ── Event popover ──────────────────────────────────────────────────────── */
+.event-popover {
+  background: var(--color-bg-card);
+  border: 1px solid var(--color-border, #2a2b30);
+  border-radius: 12px;
+  box-shadow: 0 8px 32px rgba(0,0,0,0.45);
+  width: 280px;
+  overflow: hidden;
+  display: flex;
+  flex-direction: column;
+}
+
+.popover-accent {
+  height: 4px;
+  background: var(--color-primary, #6366f1);
+}
+
+.popover-content {
+  padding: 0.85rem 1rem 0.75rem;
+}
+
+.popover-title {
+  font-size: 0.95rem;
+  font-weight: 700;
+  color: var(--color-text, #e8e9f0);
+  margin-bottom: 0.35rem;
+}
+
+.popover-time {
+  font-size: 0.8rem;
+  color: var(--color-text-muted, #888);
+  margin-bottom: 0.4rem;
+}
+
+.popover-meta {
+  display: flex;
+  align-items: flex-start;
+  gap: 0.3rem;
+  font-size: 0.8rem;
+  color: var(--color-text-muted, #888);
+  margin-bottom: 0.4rem;
+}
+
+.popover-desc {
+  font-size: 0.82rem;
+  color: var(--color-text-secondary, #aaa);
+  line-height: 1.45;
+  margin-bottom: 0.6rem;
+  display: -webkit-box;
+  -webkit-line-clamp: 4;
+  -webkit-box-orient: vertical;
+  overflow: hidden;
+}
+
+.popover-actions {
+  display: flex;
+  gap: 0.5rem;
+  padding-top: 0.5rem;
+  border-top: 1px solid var(--color-border, #2a2b30);
+}
+
+.popover-btn {
+  flex: 1;
+  padding: 0.35rem 0;
+  border: none;
+  border-radius: 6px;
+  font-size: 0.82rem;
+  font-weight: 600;
+  cursor: pointer;
+  transition: opacity 0.15s;
+}
+.popover-btn:hover { opacity: 0.85; }
+.popover-btn--edit {
+  background: var(--color-primary, #6366f1);
+  color: #fff;
+}
+.popover-btn--close {
+  background: var(--color-input-bg, var(--color-bg));
+  color: var(--color-text-muted, #888);
+  border: 1px solid var(--color-border, #2a2b30);
+}
 </style>

frontend/src/views/HomeView.vue

@@ -1,18 +1,17 @@
 <script setup lang="ts">
-import { ref, computed, onMounted, onUnmounted } from "vue";
+import { ref, onMounted, onUnmounted } from "vue";
 import { apiGet, listEvents } from "@/api/client";
 import { useBackgroundRefresh } from "@/composables/useBackgroundRefresh";
 import { milestoneColor } from "@/utils/palette";
+import { fmtRelativeDateTime } from "@/utils/dateFormat";
 import type { Note } from "@/types/note";
 import type { Task, TaskListResponse, TaskStatus } from "@/types/task";
-import type { ToolCallRecord, Message } from "@/types/chat";
 import type { EventEntry } from "@/api/client";
 import NoteCard from "@/components/NoteCard.vue";
 import TaskCard from "@/components/TaskCard.vue";
 import StatusBadge from "@/components/StatusBadge.vue";
 import PriorityBadge from "@/components/PriorityBadge.vue";
-import ToolCallCard from "@/components/ToolCallCard.vue";
-import DashboardChatInput from "@/components/DashboardChatInput.vue";
+import ChatPanel from "@/components/ChatPanel.vue";
 import EventSlideOver from "@/components/EventSlideOver.vue";
 import { useTasksStore } from "@/stores/tasks";
 import { useChatStore } from "@/stores/chat";
@@ -78,9 +77,11 @@ function _dateRange() {
   const today = new Date()
   const nextWeek = new Date(today)
   nextWeek.setDate(today.getDate() + 7)
+  // Use full ISO strings so the server sees the correct UTC equivalent of
+  // local midnight / end-of-day rather than a naive UTC-midnight guess.
   return {
-    todayStr: today.toISOString().slice(0, 10) + 'T00:00:00',
-    nextWeekStr: nextWeek.toISOString().slice(0, 10) + 'T23:59:59',
+    todayStr: today.toISOString(),
+    nextWeekStr: nextWeek.toISOString(),
   }
 }
 
@@ -109,11 +110,7 @@ function _backgroundRefresh() {
 
 onMounted(async () => {
   // Phase 1: projects list + cross-project recent items + orphaned items + events — all parallel
-  const today = new Date();
-  const todayStr = today.toISOString().slice(0, 10) + "T00:00:00";
-  const nextWeek = new Date(today);
-  nextWeek.setDate(today.getDate() + 7);
-  const nextWeekStr = nextWeek.toISOString().slice(0, 10) + "T23:59:59";
+  const { todayStr, nextWeekStr } = _dateRange();
 
   const [projectsRes, recentRes, orphanTasksRes, orphanNotesRes, eventsRes] =
     await Promise.allSettled([
@@ -156,7 +153,7 @@ onMounted(async () => {
   loading.value = false;
 
   // Focus chat input after data loads
-  chatInputRef.value?.focus();
+  chatPanelRef.value?.focus();
   loadProjects();
 
 });
@@ -215,10 +212,10 @@ function onStatusToggle(id: number, status: TaskStatus) {
 
 // ─── Chat widget ──────────────────────────────────────────────────────────────
 
-const chatInputRef = ref<{ focus: () => void } | null>(null);
+const chatPanelRef = ref<InstanceType<typeof ChatPanel> | null>(null);
 
 function onFocusChatShortcut() {
-  chatInputRef.value?.focus();
+  chatPanelRef.value?.focus();
 }
 
 onMounted(() => {
@@ -234,16 +231,6 @@ chatStore.fetchStatus().then(() => {
   if (chatStore.defaultModel) chatStore.warmModel(chatStore.defaultModel);
 });
 
-const dashboardConvId = ref<number | null>(null);
-const dashboardDone = ref(false);
-const dashboardQuery = ref("");
-const dashboardFinalContent = ref("");
-const dashboardFinalToolCalls = ref<ToolCallRecord[]>([]);
-
-const isConversational = computed(
-  () => dashboardDone.value && dashboardFinalToolCalls.value.length === 0
-);
-
 const QUICK_ACTIONS = [
   "What's due today?",
   "Events this week?",
@@ -251,38 +238,8 @@ const QUICK_ACTIONS = [
   "My high priority tasks?",
 ];
 
-async function onChatSubmit(payload: { content: string; contextNoteId?: number }) {
-  dashboardConvId.value = null;
-  dashboardDone.value = false;
-  dashboardFinalContent.value = "";
-  dashboardFinalToolCalls.value = [];
-  dashboardQuery.value = payload.content;
-
-  const conv = await chatStore.createConversation();
-  await chatStore.fetchConversation(conv.id);
-  dashboardConvId.value = conv.id;
-
-  await chatStore.sendMessage(payload.content, payload.contextNoteId);
-
-  const msgs = chatStore.currentConversation?.messages ?? [];
-  const lastAssistant = [...msgs]
-    .reverse()
-    .find((m: Message) => m.role === "assistant");
-  dashboardFinalContent.value = lastAssistant?.content ?? "";
-  dashboardFinalToolCalls.value = (lastAssistant?.tool_calls ?? []) as ToolCallRecord[];
-  dashboardDone.value = true;
-}
-
 async function onQuickAction(query: string) {
-  await onChatSubmit({ content: query });
-}
-
-function clearDashboardResponse() {
-  dashboardConvId.value = null;
-  dashboardDone.value = false;
-  dashboardQuery.value = "";
-  dashboardFinalContent.value = "";
-  dashboardFinalToolCalls.value = [];
+  await chatPanelRef.value?.send(query);
 }
 
 // ─── Upcoming events slide-over ───────────────────────────────────────────────
@@ -304,28 +261,8 @@ function onEventDeleted(id: number) {
 }
 
 function formatUpcomingTime(event: EventEntry): string {
-  if (event.all_day) return "All day";
   if (!event.start_dt) return "";
-  try {
-    const d = new Date(event.start_dt);
-    const today = new Date();
-    const tomorrow = new Date(today);
-    tomorrow.setDate(today.getDate() + 1);
-    const isToday =
-      d.getFullYear() === today.getFullYear() &&
-      d.getMonth() === today.getMonth() &&
-      d.getDate() === today.getDate();
-    const isTomorrow =
-      d.getFullYear() === tomorrow.getFullYear() &&
-      d.getMonth() === tomorrow.getMonth() &&
-      d.getDate() === tomorrow.getDate();
-    const timeStr = d.toLocaleTimeString(undefined, { hour: "numeric", minute: "2-digit" });
-    if (isToday) return `Today ${timeStr}`;
-    if (isTomorrow) return `Tomorrow ${timeStr}`;
-    return d.toLocaleDateString(undefined, { weekday: "short", month: "short", day: "numeric" }) + " " + timeStr;
-  } catch {
-    return event.start_dt;
-  }
+  return fmtRelativeDateTime(event.start_dt, event.all_day);
 }
 </script>
 
@@ -343,38 +280,9 @@ function formatUpcomingTime(event: EventEntry): string {
           @click="onQuickAction(q)"
         >{{ q }}</button>
       </div>
-      <DashboardChatInput ref="chatInputRef" @submit="onChatSubmit" />
+      <ChatPanel ref="chatPanelRef" variant="widget" />
     </section>
 
-    <!-- ── Inline response ────────────────────────────────────── -->
-    <div v-if="dashboardConvId" class="dashboard-response">
-      <div class="dashboard-response-query">{{ dashboardQuery }}</div>
-      <div v-if="chatStore.streaming && chatStore.streamingToolCalls.length" class="dashboard-tool-calls">
-        <ToolCallCard v-for="(tc, i) in chatStore.streamingToolCalls" :key="i" :tool-call="tc" />
-      </div>
-      <div v-else-if="dashboardDone && dashboardFinalToolCalls.length" class="dashboard-tool-calls">
-        <ToolCallCard v-for="(tc, i) in dashboardFinalToolCalls" :key="i" :tool-call="tc" />
-      </div>
-      <div v-if="chatStore.streaming" class="dashboard-response-text streaming">
-        <div v-if="chatStore.streamingStatus && !chatStore.streamingContent" class="dashboard-status-line">
-          <span class="dashboard-status-dot"></span>{{ chatStore.streamingStatus }}
-        </div>
-        <span v-else-if="chatStore.streamingContent">{{ chatStore.streamingContent }}</span>
-        <span v-else class="thinking-dots">...</span>
-      </div>
-      <div v-else-if="dashboardDone && dashboardFinalContent" class="dashboard-response-text">
-        {{ dashboardFinalContent }}
-      </div>
-      <div class="dashboard-response-actions" :class="{ conversational: isConversational }">
-        <router-link
-          :to="`/chat/${dashboardConvId}`"
-          class="btn-open-chat"
-          :class="{ prominent: isConversational }"
-        >{{ isConversational ? 'Continue the conversation →' : 'Think it through in Chat →' }}</router-link>
-        <button class="btn-clear-response" @click="clearDashboardResponse">Clear</button>
-      </div>
-    </div>
-
     <!-- ── Upcoming events ────────────────────────────────────── -->
     <div v-if="!loading && upcomingEvents.length" class="upcoming-events-section">
       <div class="section-header">
@@ -593,16 +501,20 @@ function formatUpcomingTime(event: EventEntry): string {
 
 <style scoped>
 .home {
-  max-width: 1100px;
+  max-width: var(--page-max-width);
   margin: 2rem auto;
-  padding: 0 1.5rem;
+  padding: 0 var(--page-padding-x);
 }
 
 /* ─── Chat widget ────────────────────────────────────────────── */
-.chat-section { margin-bottom: 1rem; }
+.chat-section {
+  max-width: 720px;
+  margin: 0 auto 1.5rem;
+}
 .quick-actions {
   display: flex;
   flex-wrap: wrap;
+  justify-content: center;
   gap: 0.4rem;
   margin-bottom: 0.75rem;
 }
@@ -623,91 +535,6 @@ function formatUpcomingTime(event: EventEntry): string {
 }
 .quick-action-chip:disabled { opacity: 0.4; cursor: default; }
 
-/* ─── Inline response ────────────────────────────────────────── */
-.dashboard-response {
-  margin-bottom: 1.5rem;
-  padding: 0.75rem 1rem;
-  background: var(--color-bg-card);
-  border-left: 2px solid var(--color-primary);
-  border-radius: var(--radius-md);
-  box-shadow: var(--color-bubble-asst-shadow);
-}
-.dashboard-response-query {
-  font-size: 0.8rem;
-  font-weight: 600;
-  color: var(--color-text-muted);
-  margin-bottom: 0.5rem;
-}
-.dashboard-tool-calls {
-  display: flex;
-  flex-direction: column;
-  gap: 0.35rem;
-  margin-bottom: 0.5rem;
-}
-.dashboard-response-text {
-  font-size: 0.9rem;
-  line-height: 1.55;
-  white-space: pre-wrap;
-  word-break: break-word;
-}
-.dashboard-response-text.streaming { color: var(--color-text-muted); }
-.thinking-dots { display: inline-block; animation: blink 1.2s infinite; }
-.dashboard-status-line {
-  display: flex;
-  align-items: center;
-  gap: 0.4rem;
-  font-style: italic;
-}
-.dashboard-status-dot {
-  display: inline-block;
-  width: 6px;
-  height: 6px;
-  border-radius: 50%;
-  background: var(--color-primary);
-  animation: blink 1.2s infinite;
-  flex-shrink: 0;
-}
-@keyframes blink {
-  0%, 100% { opacity: 1; }
-  50% { opacity: 0.3; }
-}
-.dashboard-response-actions {
-  display: flex;
-  align-items: center;
-  gap: 0.75rem;
-  margin-top: 0.75rem;
-  padding-top: 0.5rem;
-}
-.btn-open-chat {
-  font-size: 0.85rem;
-  color: var(--color-primary);
-  text-decoration: none;
-  font-weight: 500;
-}
-.btn-open-chat:hover { text-decoration: underline; }
-.btn-open-chat.prominent {
-  background: linear-gradient(135deg, #6366f1, #4f46e5);
-  color: #fff;
-  padding: 0.35rem 0.85rem;
-  border-radius: var(--radius-sm);
-  font-size: 0.9rem;
-  box-shadow: 0 1px 6px rgba(99, 102, 241, 0.25);
-}
-.btn-open-chat.prominent:hover {
-  text-decoration: none;
-  box-shadow: 0 3px 12px rgba(99, 102, 241, 0.45);
-  filter: brightness(1.08);
-}
-.btn-clear-response {
-  font-size: 0.8rem;
-  color: var(--color-text-muted);
-  background: none;
-  border: none;
-  cursor: pointer;
-  padding: 0;
-}
-.btn-clear-response:hover { color: var(--color-text); }
-
 /* ─── Skeleton loading ───────────────────────────────────────── */
 .skeleton-hero {
   height: 180px;
@@ -1034,7 +861,7 @@ function formatUpcomingTime(event: EventEntry): string {
 
 /* ─── Mobile ─────────────────────────────────────────────────── */
 @media (max-width: 680px) {
-  .home { padding: 0 1rem; margin: 1rem auto; }
+  .home { padding: 0 var(--page-padding-x); margin: 1rem auto; }
   .hero-top { flex-direction: column; align-items: flex-start; }
   .btn-workspace-hero { width: 100%; justify-content: center; }
   .projects-grid { grid-template-columns: 1fr; }

frontend/src/views/NewsView.vue

@@ -1,14 +1,18 @@
 <script setup lang="ts">
 import { ref, onMounted } from 'vue'
+import { useRouter } from 'vue-router'
 import {
   getBriefingFeeds,
   postRssReaction,
   deleteRssReaction,
   getNewsItems,
+  openArticleInChat,
   type BriefingFeed,
 } from '@/api/client'
 import type { NewsItem } from '@/types/news'
 
+const router = useRouter()
+
 const LIMIT = 40
 
 const items = ref<NewsItem[]>([])
@@ -20,6 +24,8 @@ const selectedFeedId = ref<number | null>(null)
 
 // Reactions map: item id → current reaction
 const reactions = ref<Record<number, 'up' | 'down' | null>>({})
+// Track which items are currently being opened in chat
+const openingChat = ref<Set<number>>(new Set())
 
 async function loadMore() {
   if (loading.value || !hasMore.value) return
@@ -79,6 +85,19 @@ function formatRelativeDate(iso: string | null): string {
   return d.toLocaleDateString(undefined, { month: 'short', day: 'numeric' })
 }
 
+async function openInChat(itemId: number) {
+  if (openingChat.value.has(itemId)) return
+  openingChat.value.add(itemId)
+  try {
+    const result = await openArticleInChat(itemId)
+    router.push(`/chat/${result.conversation_id}`)
+  } catch {
+    // silently fail — button returns to enabled state
+  } finally {
+    openingChat.value.delete(itemId)
+  }
+}
+
 onMounted(async () => {
   feeds.value = await getBriefingFeeds().catch(() => [])
   await loadMore()
@@ -145,6 +164,13 @@ onMounted(async () => {
             @click="handleReaction(item.id, 'down')"
             title="Not interested"
           >👎</button>
+          <button
+            class="reaction-btn open-chat-btn"
+            :class="{ busy: openingChat.has(item.id) }"
+            :disabled="openingChat.has(item.id)"
+            @click="openInChat(item.id)"
+            title="Discuss in chat"
+          >{{ openingChat.has(item.id) ? '…' : '💬' }}</button>
         </div>
       </div>
 
@@ -335,6 +361,15 @@ a.news-card-title:hover {
   background: color-mix(in srgb, var(--color-primary) 12%, transparent);
 }
 
+.open-chat-btn {
+  margin-left: auto;
+}
+
+.open-chat-btn.busy {
+  opacity: 0.4;
+  cursor: wait;
+}
+
 .news-footer {
   display: flex;
   justify-content: center;

frontend/src/views/NoteEditorView.vue

@@ -1,6 +1,7 @@
 <script setup lang="ts">
-import { ref, onMounted, onUnmounted, computed, nextTick, watch } from "vue";
+import { ref, reactive, onMounted, onUnmounted, computed, nextTick, watch } from "vue";
 import { useRoute, useRouter } from "vue-router";
+import type { NoteType } from "@/types/note";
 import { useNotesStore } from "@/stores/notes";
 import { useToastStore } from "@/stores/toast";
 import { renderMarkdown } from "@/utils/markdown";
@@ -31,6 +32,8 @@ const body = ref("");
 const tags = ref<string[]>([]);
 const projectId = ref<number | null>(null);
 const milestoneId = ref<number | null>(null);
+const noteType = ref<NoteType>("note");
+const entityMeta = reactive<Record<string, string>>({});
 const dirty = ref(false);
 const saving = ref(false);
 const showPreview = ref(false);
@@ -186,6 +189,8 @@ let savedBody = "";
 let savedTags: string[] = [];
 let savedProjectId: number | null = null;
 let savedMilestoneId: number | null = null;
+let savedNoteType: NoteType = "note";
+let savedEntityMeta: Record<string, string> = {};
 
 function markDirty() {
   dirty.value =
@@ -193,7 +198,9 @@ function markDirty() {
     body.value !== savedBody ||
     JSON.stringify(tags.value) !== JSON.stringify(savedTags) ||
     projectId.value !== savedProjectId ||
-    milestoneId.value !== savedMilestoneId;
+    milestoneId.value !== savedMilestoneId ||
+    noteType.value !== savedNoteType ||
+    JSON.stringify(entityMeta) !== JSON.stringify(savedEntityMeta);
 }
 
 function onBodyUpdate(newVal: string) {
@@ -210,24 +217,34 @@ onMounted(async () => {
       tags.value = [...(store.currentNote.tags || [])];
       projectId.value = store.currentNote.project_id ?? null;
       milestoneId.value = store.currentNote.milestone_id ?? null;
+      noteType.value = (store.currentNote.note_type as NoteType) || "note";
+      Object.assign(entityMeta, store.currentNote.metadata || {});
       savedTitle = title.value;
       savedBody = body.value;
       savedTags = [...tags.value];
       savedProjectId = projectId.value;
       savedMilestoneId = milestoneId.value;
+      savedNoteType = noteType.value;
+      savedEntityMeta = { ...entityMeta };
     }
-
-    // Restore pending draft if any
-    try {
-      const draft = await apiGet<NoteDraft>(`/api/notes/${noteId.value}/draft`);
-      if (draft) assist.loadDraft(draft);
-    } catch {
-      // No draft — normal
+  } else {
+    // New note: read type from query param
+    const qt = route.query.type as string | undefined;
+    if (qt && ["note", "person", "place", "list"].includes(qt)) {
+      noteType.value = qt as NoteType;
     }
-
-    // Initial link suggestions
-    fetchLinkSuggestions();
   }
+
+  // Restore pending draft if any
+  try {
+    const draft = await apiGet<NoteDraft>(`/api/notes/${noteId.value}/draft`);
+    if (draft) assist.loadDraft(draft);
+  } catch {
+    // No draft — normal
+  }
+
+  // Initial link suggestions
+  fetchLinkSuggestions();
 });
 
 async function save() {
@@ -241,12 +258,16 @@ async function save() {
         tags: tags.value,
         project_id: projectId.value,
         milestone_id: milestoneId.value,
+        note_type: noteType.value,
+        metadata: { ...entityMeta },
       });
       savedTitle = title.value;
       savedBody = body.value;
       savedTags = [...tags.value];
       savedProjectId = projectId.value;
       savedMilestoneId = milestoneId.value;
+      savedNoteType = noteType.value;
+      savedEntityMeta = { ...entityMeta };
       dirty.value = false;
       toast.show("Note saved");
     } else {
@@ -256,6 +277,8 @@ async function save() {
         tags: tags.value,
         project_id: projectId.value,
         milestone_id: milestoneId.value,
+        note_type: noteType.value,
+        metadata: { ...entityMeta },
       });
       dirty.value = false;
       toast.show("Note created");
@@ -295,12 +318,15 @@ async function doAutoSave() {
     await store.updateNote(noteId.value!, {
       title: title.value, body: body.value, tags: tags.value,
       project_id: projectId.value, milestone_id: milestoneId.value,
-    } as Record<string, unknown>);
+      note_type: noteType.value, metadata: { ...entityMeta },
+    });
     savedTitle = title.value;
     savedBody = body.value;
     savedTags = [...tags.value];
     savedProjectId = projectId.value;
     savedMilestoneId = milestoneId.value;
+    savedNoteType = noteType.value;
+    savedEntityMeta = { ...entityMeta };
     dirty.value = false;
     toast.show("Auto-saved");
   } catch {
@@ -439,6 +465,49 @@ onUnmounted(() => assist.clearSelection());
             </template>
           </div>
 
+          <!-- Note type -->
+          <div class="sb-field">
+            <label class="sb-label">Type</label>
+            <select v-model="noteType" class="sb-select" @change="markDirty">
+              <option value="note">Note</option>
+              <option value="person">Person</option>
+              <option value="place">Place</option>
+              <option value="list">List</option>
+            </select>
+          </div>
+
+          <!-- Person metadata -->
+          <template v-if="noteType === 'person'">
+            <div class="sb-field">
+              <label class="sb-label">Relationship</label>
+              <input class="sb-input" v-model="entityMeta.relationship" placeholder="e.g. Friend, Colleague" @input="markDirty" />
+            </div>
+            <div class="sb-field">
+              <label class="sb-label">Email</label>
+              <input class="sb-input" v-model="entityMeta.email" type="email" placeholder="email@example.com" @input="markDirty" />
+            </div>
+            <div class="sb-field">
+              <label class="sb-label">Phone</label>
+              <input class="sb-input" v-model="entityMeta.phone" type="tel" placeholder="+1 555 000 0000" @input="markDirty" />
+            </div>
+          </template>
+
+          <!-- Place metadata -->
+          <template v-if="noteType === 'place'">
+            <div class="sb-field">
+              <label class="sb-label">Address</label>
+              <input class="sb-input" v-model="entityMeta.address" placeholder="Street, City" @input="markDirty" />
+            </div>
+            <div class="sb-field">
+              <label class="sb-label">Phone</label>
+              <input class="sb-input" v-model="entityMeta.phone" type="tel" placeholder="+1 555 000 0000" @input="markDirty" />
+            </div>
+            <div class="sb-field">
+              <label class="sb-label">Hours</label>
+              <input class="sb-input" v-model="entityMeta.hours" placeholder="e.g. Mon–Fri 9–5" @input="markDirty" />
+            </div>
+          </template>
+
           <!-- Link Suggestions -->
           <div v-if="linkSuggestions.length > 0" class="sb-field link-suggest-field">
             <div class="sb-label-row">
@@ -649,6 +718,22 @@ onUnmounted(() => assist.clearSelection());
   flex-direction: column;
 }
 
+.sb-select, .sb-input {
+  width: 100%;
+  padding: 5px 8px;
+  border-radius: var(--radius-sm);
+  border: 1px solid var(--color-input-border, rgba(255,255,255,0.12));
+  background: var(--color-bg-tertiary, rgba(255,255,255,0.04));
+  color: var(--color-text);
+  font-size: 0.82rem;
+  font-family: inherit;
+  outline: none;
+  transition: border-color 0.15s;
+}
+.sb-select:focus, .sb-input:focus {
+  border-color: var(--color-primary, #6366f1);
+}
+
 /* Tag suggest row inside sidebar */
 .tag-suggest-row {
   display: flex;

frontend/src/views/NoteViewerView.vue

@@ -4,7 +4,7 @@ import { useRoute, useRouter } from "vue-router";
 import { useNotesStore } from "@/stores/notes";
 import { renderMarkdown } from "@/utils/markdown";
 import { relativeTime } from "@/composables/useRelativeTime";
-import { apiPost, apiGet } from "@/api/client";
+import { apiPost, apiGet, apiPatch } from "@/api/client";
 import type { Note } from "@/types/note";
 import TagPill from "@/components/TagPill.vue";
 import TableOfContents from "@/components/TableOfContents.vue";
@@ -79,11 +79,48 @@ watch(() => route.params.id, (newId) => {
   if (newId) loadNote(Number(newId));
 });
 
+const isListNote = computed(() => {
+  const body = store.currentNote?.body ?? "";
+  return /^- \[[ xX]\] /m.test(body);
+});
+
 const renderedBody = computed(() => {
   if (!store.currentNote) return "";
-  return renderMarkdown(store.currentNote.body);
+  return renderMarkdown(store.currentNote.body, { interactiveCheckboxes: isListNote.value });
 });
 
+async function onBodyChange(e: Event) {
+  const target = e.target as HTMLInputElement;
+  if (target.type !== "checkbox" || !store.currentNote) return;
+
+  const index = parseInt(target.dataset.taskIndex ?? "", 10);
+  if (isNaN(index)) return;
+
+  let taskIdx = 0;
+  const newBody = store.currentNote.body.split("\n").map(line => {
+    const stripped = line.trimStart();
+    if (stripped.startsWith("- [ ] ") || stripped.startsWith("- [x] ") || stripped.startsWith("- [X] ")) {
+      if (taskIdx === index) {
+        const indent = line.length - stripped.length;
+        const wasChecked = !stripped.startsWith("- [ ] ");
+        taskIdx++;
+        return " ".repeat(indent) + (wasChecked ? "- [ ] " : "- [x] ") + stripped.slice(6);
+      }
+      taskIdx++;
+    }
+    return line;
+  }).join("\n");
+
+  // Optimistic update so the checkbox state doesn't snap back
+  store.currentNote.body = newBody;
+
+  try {
+    await apiPatch(`/api/notes/${store.currentNote.id}`, { body: newBody });
+  } catch {
+    await store.fetchNote(store.currentNote.id);
+  }
+}
+
 async function onBodyClick(e: MouseEvent) {
   const target = e.target as HTMLElement;
 
@@ -220,8 +257,10 @@ async function convertToTask() {
         </div>
         <div
           class="body prose"
+          :class="{ 'prose--checklist': isListNote }"
           v-html="renderedBody"
           @click="onBodyClick"
+          @change="onBodyChange"
         ></div>
 
         <div v-if="backlinks.length" class="backlinks">

frontend/src/views/NotesListView.vue

@@ -192,9 +192,9 @@ function onOffsetUpdate(offset: number) {
 
 <style scoped>
 .notes-list {
-  max-width: 1200px;
+  max-width: var(--page-max-width);
   margin: 2rem auto;
-  padding: 0 1rem;
+  padding: 0 var(--page-padding-x);
   overflow-x: clip;
 }
 .header {

frontend/src/views/ProjectListView.vue

@@ -16,11 +16,15 @@ interface MilestoneSummary {
 
 interface Project {
   id: number;
+  user_id: number;
   title: string;
   description: string | null;
   goal: string | null;
   status: "active" | "completed" | "archived";
   color: string | null;
+  auto_summary: string | null;
+  permission?: string;
+  is_shared?: boolean;
   created_at: string;
   updated_at: string;
   summary?: {
@@ -54,19 +58,8 @@ async function loadProjects() {
   loading.value = true;
   error.value = null;
   try {
-    const data = await apiGet<{ projects: Project[] }>("/api/projects");
+    const data = await apiGet<{ projects: Project[] }>("/api/projects?include_summary=true");
     projects.value = data.projects;
-    // Fetch summaries (including milestone_summary) in parallel
-    await Promise.allSettled(
-      projects.value.map(async (p) => {
-        try {
-          const full = await apiGet<Project>(`/api/projects/${p.id}`);
-          p.summary = full.summary;
-        } catch {
-          // non-fatal
-        }
-      })
-    );
   } catch {
     error.value = "Failed to load projects.";
   } finally {
@@ -253,9 +246,9 @@ function truncate(text: string | null, max = 120): string {
 
 <style scoped>
 .projects-list {
-  max-width: 1200px;
+  max-width: var(--page-max-width);
   margin: 2rem auto;
-  padding: 0 1rem;
+  padding: 0 var(--page-padding-x);
   overflow-x: clip;
 }
 

frontend/src/views/ProjectView.vue

@@ -19,11 +19,14 @@ interface Milestone {
 
 interface Project {
   id: number;
+  user_id: number;
   title: string;
   description: string | null;
   goal: string | null;
   status: "active" | "completed" | "archived";
   color: string | null;
+  auto_summary: string | null;
+  permission?: string;
   created_at: string;
   updated_at: string;
   summary?: {
@@ -639,9 +642,9 @@ async function confirmDelete() {
 <style scoped>
 /* ── Layout ─────────────────────────────────────────────────── */
 .project-view {
-  max-width: 1200px;
+  max-width: var(--page-max-width);
   margin: 2rem auto;
-  padding: 0 1rem;
+  padding: 0 var(--page-padding-x);
   overflow-x: clip;
 }
 

frontend/src/views/TaskEditorView.vue

@@ -333,7 +333,7 @@ async function save() {
       savedParentId = parentId.value;
       dirty.value = false;
       toast.show("Task saved");
-      window.location.reload();
+      router.push(`/tasks/${taskId.value}`);
     } else {
       const task = await store.createTask(data);
       dirty.value = false;

frontend/src/views/TasksListView.vue

@@ -353,9 +353,9 @@ function toggleGroup(key: string) {
 
 <style scoped>
 .tasks-list {
-  max-width: 1200px;
+  max-width: var(--page-max-width);
   margin: 2rem auto;
-  padding: 0 1rem;
+  padding: 0 var(--page-padding-x);
   overflow-x: clip;
 }
 .header {

frontend/src/views/WorkspaceView.vue

@@ -3,18 +3,13 @@ import { ref, computed, onMounted, onUnmounted, watch, nextTick } from "vue";
 import { useRoute } from "vue-router";
 import { apiGet } from "@/api/client";
 import { useChatStore } from "@/stores/chat";
-import { useSettingsStore } from "@/stores/settings";
 import { useToastStore } from "@/stores/toast";
-import { renderMarkdown } from "@/utils/markdown";
-import ChatMessage from "@/components/ChatMessage.vue";
-import ToolCallCard from "@/components/ToolCallCard.vue";
-import ToolConfirmCard from "@/components/ToolConfirmCard.vue";
+import ChatPanel from "@/components/ChatPanel.vue";
 import WorkspaceTaskPanel from "@/components/WorkspaceTaskPanel.vue";
 import WorkspaceNoteEditor from "@/components/WorkspaceNoteEditor.vue";
 
 const route = useRoute();
 const chatStore = useChatStore();
-const settingsStore = useSettingsStore();
 const toast = useToastStore();
 
 const projectId = computed(() => Number(route.params.projectId));
@@ -26,10 +21,9 @@ interface Project {
 }
 
 const project = ref<Project | null>(null);
-const messageInput = ref("");
-const messagesEl = ref<HTMLElement | null>(null);
-const inputEl = ref<HTMLTextAreaElement | null>(null);
+const chatPanelRef = ref<InstanceType<typeof ChatPanel> | null>(null);
 const taskPanelRef = ref<InstanceType<typeof WorkspaceTaskPanel> | null>(null);
+const noteEditorRef = ref<InstanceType<typeof WorkspaceNoteEditor> | null>(null);
 const activeNoteId = ref<number | null>(null);
 let workspaceConvId: number | null = null;
 let isNewConv = false;
@@ -64,7 +58,7 @@ const gridColumns = computed(() => {
   ].join(" ");
 });
 
-// SSE watcher
+// SSE watcher — auto-load notes/tasks when tool calls succeed
 const processedCount = ref(0);
 
 watch(
@@ -78,6 +72,7 @@ watch(
         tc.result?.data?.id
       ) {
         activeNoteId.value = tc.result.data.id as number;
+        noteEditorRef.value?.reload();
       }
       if (
         ["create_task", "update_task", "create_milestone", "update_milestone"].includes(tc.function) &&
@@ -94,29 +89,10 @@ watch(
 watch(
   () => chatStore.streaming,
   (s) => {
-    if (!s) {
-      processedCount.value = 0;
-      scrollToBottom();
-    }
+    if (!s) processedCount.value = 0;
   }
 );
 
-const streamingRendered = computed(() => {
-  if (!chatStore.streamingContent) return "";
-  return renderMarkdown(chatStore.streamingContent);
-});
-
-function scrollToBottom() {
-  nextTick(() => {
-    if (messagesEl.value) {
-      messagesEl.value.scrollTop = messagesEl.value.scrollHeight;
-    }
-  });
-}
-
-watch(() => chatStore.streamingContent, scrollToBottom);
-watch(() => chatStore.currentConversation?.messages.length, scrollToBottom);
-
 function togglePanel(panel: keyof typeof panelOpen.value) {
   const open = panelOpen.value;
   const openCount = [open.tasks, open.chat, open.notes].filter(Boolean).length;
@@ -126,54 +102,7 @@ function togglePanel(panel: keyof typeof panelOpen.value) {
 }
 
 function prefill(text: string) {
-  messageInput.value = text;
-  nextTick(() => inputEl.value?.focus());
-}
-
-async function sendMessage() {
-  const content = messageInput.value.trim();
-  if (!content) return;
-
-  messageInput.value = "";
-  resetTextareaHeight();
-
-  await chatStore.sendMessage(
-    content,
-    undefined,
-    undefined,
-    true,
-    undefined,
-    undefined,
-    projectId.value,
-    projectId.value,
-  );
-  scrollToBottom();
-  nextTick(() => inputEl.value?.focus());
-}
-
-function onInputKeydown(e: KeyboardEvent) {
-  if (e.key === "Enter" && !e.shiftKey) {
-    e.preventDefault();
-    sendMessage();
-  }
-  if (e.key === "Escape") {
-    // Prevent App.vue from navigating home when textarea is focused
-    e.stopPropagation();
-    inputEl.value?.blur();
-  }
-}
-
-function autoResize() {
-  const el = inputEl.value;
-  if (!el) return;
-  el.style.height = "auto";
-  el.style.height = Math.min(el.scrollHeight, 150) + "px";
-}
-
-function resetTextareaHeight() {
-  const el = inputEl.value;
-  if (!el) return;
-  el.style.height = "auto";
+  chatPanelRef.value?.prefill(text);
 }
 
 onMounted(async () => {
@@ -214,7 +143,7 @@ onMounted(async () => {
     localStorage.setItem(key, String(conv.id));
   }
 
-  nextTick(() => inputEl.value?.focus());
+  nextTick(() => chatPanelRef.value?.focus());
 });
 
 onUnmounted(async () => {
@@ -279,114 +208,30 @@ onUnmounted(async () => {
       </div>
 
       <!-- Center: Chat -->
-      <div v-show="panelOpen.chat" class="ws-panel ws-chat-panel">
-        <div class="chat-messages" ref="messagesEl">
-          <template v-if="chatStore.currentConversation">
-            <ChatMessage
-              v-for="msg in chatStore.currentConversation.messages"
-              :key="msg.id"
-              :message="msg"
-            />
-          </template>
-
-          <!-- Streaming bubble -->
-          <div v-if="chatStore.streaming" class="chat-message role-assistant">
-            <div class="message-bubble streaming-bubble">
-              <div class="message-header">
-                <span class="role-label">{{ settingsStore.assistantName }}</span>
-              </div>
-              <div v-if="chatStore.streamingToolCalls.length" class="streaming-tool-calls">
-                <ToolCallCard
-                  v-for="(tc, i) in chatStore.streamingToolCalls"
-                  :key="i"
-                  :tool-call="tc"
-                />
-              </div>
-              <ToolConfirmCard
-                v-if="chatStore.streamingPendingTool"
-                :pending-tool="chatStore.streamingPendingTool"
-                @accept="chatStore.confirmTool(true)"
-                @decline="chatStore.confirmTool(false)"
-              />
-              <div v-if="chatStore.streamingStatus" class="streaming-status-line">
-                <span class="streaming-status-dot"></span>
-                {{ chatStore.streamingStatus }}
-              </div>
-              <details
-                v-if="chatStore.streamingThinking"
-                class="thinking-block"
-                :open="!chatStore.streamingContent"
-              >
-                <summary class="thinking-summary">Reasoning</summary>
-                <pre class="thinking-text">{{ chatStore.streamingThinking }}</pre>
-              </details>
-              <div class="message-content prose" v-html="streamingRendered"></div>
-              <span
-                v-if="!chatStore.streamingStatus && !chatStore.streamingThinking"
-                class="typing-indicator"
-              ></span>
-            </div>
-          </div>
-
-          <!-- Queued messages — shown as pending bubbles -->
-          <template v-if="chatStore.queuedMessages.length">
+      <div v-show="panelOpen.chat" class="ws-panel ws-panel-chat">
+        <Transition name="panel-fade">
+          <div v-if="panelOpen.chat" class="panel-inner panel-inner-chat">
+            <!-- Quick chips (shown when conversation is empty) -->
             <div
-              v-for="(q, i) in chatStore.queuedMessages"
-              :key="`queued-${i}`"
-              class="ws-message role-user queued-message"
+              v-if="chatStore.currentConversation && !chatStore.currentConversation.messages.length && !chatStore.streaming"
+              class="empty-chat-prompt"
             >
-              <div class="message-bubble queued-bubble">
-                <div class="queued-badge">Queued</div>
-                <div class="message-content">{{ q.content }}</div>
+              <p class="empty-hint">What would you like to work on?</p>
+              <div class="quick-chips">
+                <button class="quick-chip" @click="prefill('Summarize the current status of this project')">📊 Project status</button>
+                <button class="quick-chip" @click="prefill('Create a note about ')">📝 New note</button>
+                <button class="quick-chip" @click="prefill('Add tasks for ')">✓ Add tasks</button>
               </div>
             </div>
-            <div class="queued-clear-row">
-              <button class="queued-clear-btn" @click="chatStore.clearQueue()" aria-label="Cancel queued messages">
-                Cancel {{ chatStore.queuedMessages.length }} queued
-              </button>
-            </div>
-          </template>
-
-          <div
-            v-if="chatStore.currentConversation && !chatStore.currentConversation.messages.length && !chatStore.streaming"
-            class="empty-chat-prompt"
-          >
-            <p class="empty-hint">What would you like to work on?</p>
-            <div class="quick-chips">
-              <button class="quick-chip" @click="prefill('Summarize the current status of this project')">📊 Project status</button>
-              <button class="quick-chip" @click="prefill('Create a note about ')">📝 New note</button>
-              <button class="quick-chip" @click="prefill('Add tasks for ')">✓ Add tasks</button>
-            </div>
+            <ChatPanel
+              ref="chatPanelRef"
+              variant="full"
+              :projectId="projectId"
+              placeholder="Message the agent… (Enter to send)"
+              class="ws-chat-panel"
+            />
           </div>
-        </div>
-
-        <div class="chat-input-area">
-          <textarea
-            ref="inputEl"
-            v-model="messageInput"
-            class="chat-input"
-            :placeholder="chatStore.streaming ? 'Type to queue next message… (Enter to queue)' : 'Message the agent… (Enter to send)'"
-            rows="1"
-            @keydown="onInputKeydown"
-            @input="autoResize"
-          ></textarea>
-          <button
-            v-if="chatStore.streaming"
-            class="btn-abort"
-            title="Stop generation"
-            @click="chatStore.cancelGeneration()"
-          >
-            ■ Stop
-          </button>
-          <button
-            v-else
-            class="btn-send"
-            :disabled="!messageInput.trim()"
-            @click="sendMessage"
-          >
-            Send
-          </button>
-        </div>
+        </Transition>
       </div>
 
       <!-- Right: Note Editor -->
@@ -395,6 +240,7 @@ onUnmounted(async () => {
           <div v-if="panelOpen.notes" class="panel-inner">
             <WorkspaceNoteEditor
               v-if="project"
+              ref="noteEditorRef"
               :project-id="project.id"
               :active-note-id="activeNoteId"
             />
@@ -499,25 +345,31 @@ onUnmounted(async () => {
 }
 
 /* Chat panel */
-.ws-chat-panel {
-  display: flex;
-  flex-direction: column;
+.ws-panel-chat {
   border-left: 1px solid var(--color-border);
   border-right: 1px solid var(--color-border);
-}
-
-.chat-messages {
-  flex: 1;
-  overflow-y: auto;
-  padding: 1rem;
   display: flex;
   flex-direction: column;
-  gap: 0.75rem;
+}
+
+.panel-inner-chat {
+  position: relative;
+}
+
+.ws-chat-panel {
+  flex: 1;
+  min-height: 0;
 }
 
 .empty-chat-prompt {
+  position: absolute;
+  top: 50%;
+  left: 50%;
+  transform: translate(-50%, -50%);
   text-align: center;
   padding: 2rem 1rem;
+  pointer-events: none;
+  z-index: 1;
 }
 .empty-hint {
   margin: 0 0 1rem;
@@ -529,6 +381,7 @@ onUnmounted(async () => {
   flex-wrap: wrap;
   gap: 0.5rem;
   justify-content: center;
+  pointer-events: auto;
 }
 .quick-chip {
   background: var(--color-surface);
@@ -546,206 +399,4 @@ onUnmounted(async () => {
   color: var(--color-primary);
   background: color-mix(in srgb, var(--color-primary) 5%, var(--color-surface));
 }
-
-.chat-input-area {
-  display: flex;
-  gap: 0.5rem;
-  padding: 0.6rem;
-  border-top: 1px solid var(--color-border);
-  flex-shrink: 0;
-}
-
-.chat-input {
-  flex: 1;
-  resize: none;
-  background: var(--color-input-bg, var(--color-bg));
-  border: 1px solid var(--color-border);
-  border-radius: 6px;
-  padding: 0.4rem 0.6rem;
-  font-size: 0.875rem;
-  font-family: inherit;
-  color: var(--color-text);
-  line-height: 1.5;
-  overflow-y: hidden;
-}
-.chat-input:focus {
-  outline: none;
-  border-color: var(--color-primary);
-}
-
-.btn-send {
-  background: var(--color-primary);
-  color: #fff;
-  border: none;
-  border-radius: 6px;
-  padding: 0.4rem 0.9rem;
-  font-size: 0.875rem;
-  cursor: pointer;
-  align-self: flex-end;
-}
-.btn-send:disabled {
-  opacity: 0.4;
-  cursor: default;
-}
-
-.btn-abort {
-  background: none;
-  color: var(--color-danger, #e74c3c);
-  border: 1px solid var(--color-danger, #e74c3c);
-  border-radius: 6px;
-  padding: 0.4rem 0.9rem;
-  font-size: 0.875rem;
-  font-weight: 600;
-  cursor: pointer;
-  align-self: flex-end;
-  white-space: nowrap;
-}
-.btn-abort:hover {
-  background: var(--color-danger, #e74c3c);
-  color: #fff;
-}
-
-/* Streaming indicators (mirror ChatView) */
-.chat-message {
-  display: flex;
-}
-.role-assistant {
-  justify-content: flex-start;
-}
-.message-bubble {
-  max-width: 85%;
-  background: var(--color-surface);
-  border: 1px solid var(--color-border);
-  border-radius: 10px;
-  padding: 0.65rem 0.85rem;
-}
-.message-header {
-  margin-bottom: 0.3rem;
-}
-.role-label {
-  font-size: 0.72rem;
-  font-weight: 600;
-  color: var(--color-primary);
-  text-transform: uppercase;
-  letter-spacing: 0.04em;
-}
-.streaming-tool-calls {
-  margin-bottom: 0.4rem;
-}
-.streaming-status-line {
-  display: flex;
-  align-items: center;
-  gap: 0.4rem;
-  font-size: 0.8rem;
-  color: var(--color-text-muted);
-  margin-bottom: 0.3rem;
-}
-.streaming-status-dot {
-  width: 6px;
-  height: 6px;
-  border-radius: 50%;
-  background: var(--color-primary);
-  animation: pulse 1s infinite;
-}
-.typing-indicator {
-  display: inline-block;
-  width: 8px;
-  height: 8px;
-  border-radius: 50%;
-  background: var(--color-primary);
-  animation: pulse 1s infinite;
-}
-
-@keyframes pulse {
-  0%, 100% { opacity: 1; }
-  50% { opacity: 0.3; }
-}
-
-.message-content :deep(p) { margin: 0 0 0.5em; }
-.message-content :deep(p:last-child) { margin-bottom: 0; }
-
-.thinking-block {
-  margin-bottom: 0.5rem;
-  border: 1px solid var(--color-border);
-  border-radius: var(--radius-sm);
-  overflow: hidden;
-}
-.thinking-summary {
-  padding: 0.25rem 0.5rem;
-  font-size: 0.72rem;
-  font-weight: 600;
-  text-transform: uppercase;
-  letter-spacing: 0.04em;
-  color: var(--color-text-muted);
-  cursor: pointer;
-  user-select: none;
-  list-style: none;
-  display: flex;
-  align-items: center;
-  gap: 0.3rem;
-  background: var(--color-bg-secondary);
-}
-.thinking-summary::-webkit-details-marker { display: none; }
-.thinking-summary::before {
-  content: "▶";
-  font-size: 0.6rem;
-  transition: transform 0.15s;
-}
-details[open] .thinking-summary::before {
-  transform: rotate(90deg);
-}
-.thinking-text {
-  margin: 0;
-  padding: 0.5rem;
-  font-size: 0.8rem;
-  line-height: 1.5;
-  color: var(--color-text-secondary);
-  white-space: pre-wrap;
-  word-break: break-word;
-  max-height: 300px;
-  overflow-y: auto;
-}
-.ws-message.role-user {
-  display: flex;
-  justify-content: flex-end;
-}
-.queued-bubble {
-  max-width: 80%;
-  padding: 0.75rem 1rem;
-  border-radius: 18px;
-  border-bottom-right-radius: 4px;
-  background: linear-gradient(135deg, #6366f1, #4f46e5);
-  color: #fff;
-  opacity: 0.45;
-  font-size: 0.95rem;
-  line-height: 1.55;
-  word-break: break-word;
-}
-.queued-badge {
-  font-size: 0.65rem;
-  font-weight: 700;
-  text-transform: uppercase;
-  letter-spacing: 0.05em;
-  color: rgba(255, 255, 255, 0.75);
-  margin-bottom: 0.2rem;
-}
-.queued-clear-row {
-  display: flex;
-  justify-content: flex-end;
-  padding-right: 0.5rem;
-}
-.queued-clear-btn {
-  background: none;
-  border: 1px solid var(--color-border);
-  border-radius: var(--radius-sm, 6px);
-  cursor: pointer;
-  color: var(--color-text-muted);
-  font-size: 0.78rem;
-  padding: 0.2rem 0.6rem;
-  font-family: inherit;
-}
-.queued-clear-btn:hover {
-  color: var(--color-danger, #e74c3c);
-  border-color: var(--color-danger, #e74c3c);
-}
 </style>

pyproject.toml

@@ -19,6 +19,8 @@ dependencies = [
     "caldav>=1.3",
     "icalendar>=5.0",
     "feedparser>=6.0",
+    "html2text>=2024.2",
+    "trafilatura>=1.12",
     "APScheduler>=3.10,<4.0",
     "pywebpush>=2.0",
 ]
@@ -29,6 +31,11 @@ dev = [
     "pytest-asyncio>=0.23",
     "ruff>=0.6",
 ]
+voice = [
+    "faster-whisper>=1.0",
+    "kokoro>=0.9",
+    "soundfile>=0.12",
+]
 
 [tool.setuptools.packages.find]
 where = ["src"]

src/fabledassistant/app.py

@@ -31,6 +31,9 @@ from fabledassistant.routes.users import users_bp
 from fabledassistant.routes.api_keys import api_keys_bp
 from fabledassistant.routes.events import events_bp
 from fabledassistant.routes.search import search_bp
+from fabledassistant.routes.voice import voice_bp
+from fabledassistant.routes.profile import profile_bp
+from fabledassistant.routes.knowledge import knowledge_bp
 
 STATIC_DIR = Path(__file__).parent / "static"
 logger = logging.getLogger(__name__)
@@ -92,6 +95,9 @@ def create_app() -> Quart:
     app.register_blueprint(api_keys_bp)
     app.register_blueprint(events_bp)
     app.register_blueprint(search_bp)
+    app.register_blueprint(voice_bp)
+    app.register_blueprint(profile_bp)
+    app.register_blueprint(knowledge_bp)
 
     @app.before_request
     async def before_request():
@@ -167,64 +173,112 @@ def create_app() -> Quart:
                 async with httpx.AsyncClient(timeout=300.0) as client:
                     await client.post(
                         f"{Config.OLLAMA_URL}/api/generate",
-                        json={"model": model, "prompt": "", "keep_alive": "30m"},
+                        json={"model": model, "prompt": "", "keep_alive": "2h"},
                     )
                 logger.info("Warmed model '%s' into VRAM", model)
             except Exception:
                 logger.warning("Failed to warm model '%s'", model, exc_info=True)
 
+        async def _prime_kv_cache(user_id: int, model: str) -> None:
+            """Send a minimal chat request to prime Ollama's KV cache with the user's system prompt.
+
+            This ensures the next real user message only needs to process its own tokens
+            rather than the full ~4,650-token system prompt, cutting TTFT from ~25s to <1s.
+            The num_ctx must match what real requests will use so Ollama doesn't reload.
+            """
+            try:
+                from fabledassistant.services.llm import build_context, pick_num_ctx
+                messages, _ = await build_context(
+                    user_id=user_id,
+                    history=[],
+                    current_note_id=None,
+                    user_message=" ",
+                )
+                num_ctx = pick_num_ctx(messages)
+                async with httpx.AsyncClient(timeout=120.0) as client:
+                    await client.post(
+                        f"{Config.OLLAMA_URL}/api/chat",
+                        json={
+                            "model": model,
+                            "messages": messages,
+                            "stream": False,
+                            "options": {"num_predict": 1, "num_ctx": num_ctx},
+                            "keep_alive": "2h",
+                        },
+                    )
+                logger.info("Primed KV cache for user %d with model '%s' (num_ctx=%d)", user_id, model, num_ctx)
+            except Exception:
+                logger.warning("Failed to prime KV cache for user %d", user_id, exc_info=True)
+
         async def _warm_user_models() -> None:
             """
-            Warm whichever chat model(s) users have selected in Settings.
+            Pull any user-configured models that are missing from Ollama, then warm
+            them and prime the KV cache with each user's system prompt.
 
-            Only warms models that are already installed in Ollama — never auto-pulls.
+            Handles both default_model (chat) and background_model user overrides.
             Falls back silently if no user preferences exist or Ollama is unreachable.
             """
-            from sqlalchemy import select as sa_select, distinct
+            from sqlalchemy import select as sa_select
 
             from fabledassistant.models import async_session
             from fabledassistant.models.setting import Setting
 
-            # 1. Collect all distinct default_model values users have saved.
+            # 1. Collect all user model preferences (both chat and background).
             try:
                 async with async_session() as session:
                     rows = await session.execute(
-                        sa_select(distinct(Setting.value)).where(
-                            Setting.key == "default_model",
+                        sa_select(Setting.user_id, Setting.key, Setting.value).where(
+                            Setting.key.in_(["default_model", "background_model"]),
                             Setting.value.isnot(None),
                             Setting.value != "",
                         )
                     )
-                    user_models: set[str] = {r for (r,) in rows}
+                    settings_rows: list[tuple[int, str, str]] = list(rows)
             except Exception:
                 logger.debug("Could not read user model preferences from DB", exc_info=True)
                 return
 
-            if not user_models:
+            if not settings_rows:
                 logger.debug("No user model preferences found; skipping warm-up")
                 return
 
-            # 2. Ask Ollama which models are currently installed.
+            # 2. Build the set of unique models to ensure, and the list of
+            #    (user_id, chat_model) pairs for KV-cache priming.
+            all_models: set[str] = set()
+            user_chat_models: list[tuple[int, str]] = []
+            for user_id_val, key, model in settings_rows:
+                all_models.add(model)
+                if key == "default_model":
+                    user_chat_models.append((user_id_val, model))
+
+            # 3. Ask Ollama which models are currently installed.
             try:
                 async with httpx.AsyncClient(timeout=10.0) as client:
                     resp = await client.get(f"{Config.OLLAMA_URL}/api/tags")
                     resp.raise_for_status()
-                    installed: set[str] = {m["name"] for m in resp.json().get("models", [])}
+                    raw_installed: set[str] = {m["name"] for m in resp.json().get("models", [])}
+                    installed: set[str] = raw_installed | {
+                        n.removesuffix(":latest") for n in raw_installed if n.endswith(":latest")
+                    }
             except Exception:
                 logger.debug("Could not reach Ollama to check installed models", exc_info=True)
                 return
 
-            # 3. Warm only the intersection (installed AND user-preferred).
-            for model in user_models:
-                base = model.removesuffix(":latest")
-                if model in installed or f"{base}:latest" in installed or base in installed:
-                    await _warm_model(model)
-                else:
-                    logger.info(
-                        "User-preferred model '%s' is not installed; skipping warm-up "
-                        "(install it via Settings → Models to enable auto-warm)",
-                        model,
-                    )
+            # 4. Pull any user-configured models that are missing.
+            for model in all_models:
+                if model not in installed:
+                    logger.info("User-configured model '%s' not installed; pulling...", model)
+                    await _pull_model(model)
+                    installed.add(model)
+
+            # 5. Warm each unique chat model, then prime KV cache per user.
+            warmed: set[str] = set()
+            for user_id_val, model in user_chat_models:
+                if model in installed:
+                    if model not in warmed:
+                        await _warm_model(model)
+                        warmed.add(model)
+                    await _prime_kv_cache(user_id_val, model)
 
         async def _pull_model(model: str, warm: bool = False) -> None:
             try:
@@ -239,10 +293,11 @@ def create_app() -> Quart:
             if warm:
                 await _warm_model(model)
 
-        # Warm user-preferred chat models that are already installed.
-        # Also ensure the embedding model is pulled (no warm needed).
-        asyncio.create_task(_warm_user_models())
+        # Ensure system-default models are present, then pull/warm user-configured ones.
+        asyncio.create_task(_pull_model(Config.OLLAMA_MODEL, warm=True))
         asyncio.create_task(_pull_model(Config.EMBEDDING_MODEL, warm=False))
+        asyncio.create_task(_pull_model(Config.OLLAMA_BACKGROUND_MODEL, warm=False))
+        asyncio.create_task(_warm_user_models())
 
         # After models are pulled, backfill embeddings for existing notes.
         # Runs in the background so it never blocks the server from accepting requests.
@@ -257,6 +312,16 @@ def create_app() -> Quart:
                 await backfill_project_summaries()
             except Exception:
                 logger.warning("Project summary backfill failed", exc_info=True)
+            try:
+                from fabledassistant.services.embeddings import backfill_rss_item_embeddings
+                await backfill_rss_item_embeddings()
+            except Exception:
+                logger.warning("RSS embedding backfill failed", exc_info=True)
+            try:
+                from fabledassistant.services.embeddings import backfill_rss_article_content
+                await backfill_rss_article_content()
+            except Exception:
+                logger.warning("RSS article content backfill failed", exc_info=True)
 
         asyncio.create_task(_delayed_backfill())
 
@@ -264,10 +329,22 @@ def create_app() -> Quart:
         from fabledassistant.services.briefing_scheduler import start_briefing_scheduler
         await start_briefing_scheduler(asyncio.get_running_loop())
 
+        # Start event scheduler (reminders + CalDAV pull sync)
+        from fabledassistant.services.event_scheduler import start_event_scheduler
+        start_event_scheduler(asyncio.get_running_loop())
+
+        # Voice model loading (enabled via Admin → Config in the UI, or VOICE_ENABLED env var)
+        from fabledassistant.services.stt import load_stt_model
+        from fabledassistant.services.tts import load_tts_model
+        asyncio.create_task(load_stt_model())
+        asyncio.create_task(load_tts_model())
+
     @app.after_serving
     async def shutdown():
         from fabledassistant.services.briefing_scheduler import stop_briefing_scheduler
         stop_briefing_scheduler()
+        from fabledassistant.services.event_scheduler import stop_event_scheduler
+        stop_event_scheduler()
 
     @app.route("/")
     async def serve_index():

src/fabledassistant/config.py

@@ -24,9 +24,14 @@ class Config:
     )
     OLLAMA_URL: str = os.environ.get("OLLAMA_URL", "http://localhost:11434")
     OLLAMA_MODEL: str = os.environ.get("OLLAMA_MODEL", "qwen3:latest")
-    # KV cache context window for generation. Higher = more RAM usage but longer inputs/outputs.
-    # 131072 is the practical maximum for most models. Lower this on RAM-constrained hosts.
-    OLLAMA_NUM_CTX: int = int(os.environ.get("OLLAMA_NUM_CTX", "65536"))
+    # Lightweight model for background tasks (title generation, tag suggestions,
+    # project summaries, RSS classification). Using a separate model keeps the
+    # main model's KV cache intact between user messages, enabling prefix cache hits.
+    OLLAMA_BACKGROUND_MODEL: str = os.environ.get("OLLAMA_BACKGROUND_MODEL", "qwen2.5:0.5b")
+    # KV cache context window for generation. Keep this as small as practical —
+    # a larger context forces more KV cache into CPU RAM, drastically slowing prefill.
+    # 16384 covers ~30+ message conversations with our system prompt comfortably.
+    OLLAMA_NUM_CTX: int = int(os.environ.get("OLLAMA_NUM_CTX", "16384"))
     SECRET_KEY: str = _read_secret("SECRET_KEY", "SECRET_KEY_FILE", "dev-secret-change-me")
     SECURE_COOKIES: bool = os.environ.get("SECURE_COOKIES", "").lower() in ("1", "true", "yes")
     LOG_LEVEL: str = os.environ.get("LOG_LEVEL", "INFO")
@@ -66,6 +71,12 @@ class Config:
     VAPID_PUBLIC_KEY: str = os.environ.get("VAPID_PUBLIC_KEY", "")
     VAPID_CLAIMS_SUB: str = os.environ.get("VAPID_CLAIMS_SUB", "mailto:admin@fabledassistant.local")
 
+    # Voice (Speech-to-Speech) feature
+    VOICE_ENABLED: bool = os.environ.get("VOICE_ENABLED", "").lower() in ("1", "true", "yes")
+    STT_BACKEND: str = os.environ.get("STT_BACKEND", "faster-whisper")
+    STT_MODEL: str = os.environ.get("STT_MODEL", "base.en")
+    TTS_BACKEND: str = os.environ.get("TTS_BACKEND", "kokoro")
+
     @classmethod
     def oidc_enabled(cls) -> bool:
         return bool(cls.OIDC_ISSUER and cls.OIDC_CLIENT_ID and cls.OIDC_CLIENT_SECRET)
@@ -93,5 +104,11 @@ class Config:
                 "SECRET_KEY is set to the insecure default but SECURE_COOKIES=true indicates "
                 "a production deployment. Set SECRET_KEY or SECRET_KEY_FILE before starting."
             )
+        _valid_stt_models = {"tiny.en", "base.en", "small.en", "medium.en"}
+        if cls.VOICE_ENABLED and cls.STT_MODEL not in _valid_stt_models:
+            errors.append(
+                f"STT_MODEL='{cls.STT_MODEL}' is not supported. "
+                f"Valid values: {', '.join(sorted(_valid_stt_models))}"
+            )
         if errors:
             raise ValueError("Configuration errors:\n" + "\n".join(f"  - {e}" for e in errors))

src/fabledassistant/models/__init__.py

@@ -41,3 +41,5 @@ from fabledassistant.models.notification import Notification  # noqa: E402, F401
 from fabledassistant.models.rss_feed import RssFeed, RssItem  # noqa: E402, F401
 from fabledassistant.models.weather_cache import WeatherCache  # noqa: E402, F401
 from fabledassistant.models.api_key import ApiKey  # noqa: E402, F401
+from fabledassistant.models.user_profile import UserProfile  # noqa: E402, F401
+from fabledassistant.models.rss_item_embedding import RssItemEmbedding  # noqa: E402, F401

src/fabledassistant/models/event.py

@@ -27,6 +27,8 @@ class Event(Base):
     caldav_uid: Mapped[str] = mapped_column(Text, default="")
     color: Mapped[str] = mapped_column(Text, default="")
     recurrence: Mapped[str | None] = mapped_column(Text, nullable=True)
+    reminder_minutes: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    reminder_sent_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
     created_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
     )
@@ -51,6 +53,7 @@ class Event(Base):
             "location": self.location,
             "color": self.color,
             "recurrence": self.recurrence,
+            "reminder_minutes": self.reminder_minutes,
             "created_at": self.created_at.isoformat() if self.created_at else None,
             "updated_at": self.updated_at.isoformat() if self.updated_at else None,
         }

src/fabledassistant/models/note.py

@@ -51,6 +51,11 @@ class Note(Base, TimestampMixin):
     recurrence_next_spawn_at: Mapped[datetime | None] = mapped_column(
         DateTime(timezone=True), nullable=True
     )
+    # Entity type — 'note' (default), 'person', 'place', 'list'
+    note_type: Mapped[str] = mapped_column(Text, default="note", server_default="note")
+    # Structured metadata for entity types (person/place/list)
+    # Named 'entity_meta' to avoid collision with SQLAlchemy's reserved 'metadata' attribute
+    entity_meta: Mapped[dict | None] = mapped_column("metadata", JSONB, nullable=True)
 
     __table_args__ = (
         Index("ix_notes_tags", "tags", postgresql_using="gin"),
@@ -59,12 +64,18 @@ class Note(Base, TimestampMixin):
         Index("ix_notes_user_id", "user_id"),
         Index("ix_notes_project_id", "project_id"),
         Index("ix_notes_milestone_id", "milestone_id"),
+        Index("ix_notes_note_type", "note_type"),
     )
 
     @property
     def is_task(self) -> bool:
         return self.status is not None
 
+    @property
+    def entity_type(self) -> str:
+        """Normalised type: 'note', 'person', 'place', or 'list'."""
+        return self.note_type or "note"
+
     def to_dict(self) -> dict:
         return {
             "id": self.id,
@@ -86,6 +97,8 @@ class Note(Base, TimestampMixin):
                 else None
             ),
             "is_task": self.is_task,
+            "note_type": self.entity_type,
+            "metadata": self.entity_meta or {},
             "created_at": self.created_at.isoformat(),
             "updated_at": self.updated_at.isoformat(),
         }

src/fabledassistant/models/project.py

@@ -29,11 +29,13 @@ class Project(Base, TimestampMixin):
     def to_dict(self) -> dict:
         return {
             "id": self.id,
+            "user_id": self.user_id,
             "title": self.title,
             "description": self.description,
             "goal": self.goal,
             "status": self.status,
             "color": self.color,
+            "auto_summary": self.auto_summary,
             "created_at": self.created_at.isoformat(),
             "updated_at": self.updated_at.isoformat(),
         }

src/fabledassistant/models/rss_item_embedding.py

@@ -0,0 +1,25 @@
+from datetime import datetime, timezone
+
+from sqlalchemy import DateTime, ForeignKey, Integer
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from fabledassistant.models import Base
+
+
+class RssItemEmbedding(Base):
+    """Stores the embedding vector for an RSS item, used for semantic news search."""
+
+    __tablename__ = "rss_item_embeddings"
+
+    rss_item_id: Mapped[int] = mapped_column(
+        Integer,
+        ForeignKey("rss_items.id", ondelete="CASCADE"),
+        primary_key=True,
+    )
+    user_id: Mapped[int] = mapped_column(Integer, nullable=False, index=True)
+    embedding: Mapped[list] = mapped_column(JSONB, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        default=lambda: datetime.now(timezone.utc),
+    )

src/fabledassistant/models/user_profile.py

@@ -0,0 +1,55 @@
+from datetime import datetime
+
+from sqlalchemy import DateTime, ForeignKey, Integer, Text
+from sqlalchemy.dialects.postgresql import ARRAY, JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from fabledassistant.models import Base
+from fabledassistant.models.base import TimestampMixin
+
+
+class UserProfile(Base, TimestampMixin):
+    __tablename__ = "user_profiles"
+
+    id: Mapped[int] = mapped_column(primary_key=True)
+    user_id: Mapped[int] = mapped_column(
+        Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, unique=True
+    )
+    display_name: Mapped[str | None] = mapped_column(Text, nullable=True)
+    job_title: Mapped[str | None] = mapped_column(Text, nullable=True)
+    industry: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # novice / intermediate / expert — calibrates explanation depth
+    expertise_level: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # concise / balanced / detailed
+    response_style: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # casual / professional / technical
+    tone: Mapped[str | None] = mapped_column(Text, nullable=True)
+    interests: Mapped[list[str] | None] = mapped_column(ARRAY(Text), nullable=True)
+    # {days: ["Mon","Tue",...], start: "09:00", end: "17:00"}
+    work_schedule: Mapped[dict | None] = mapped_column(JSONB, nullable=True)
+    # LLM-consolidated summary of learned preferences
+    learned_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
+    # [{date: "YYYY-MM-DD", bullets: "..."}, ...]
+    observations_raw: Mapped[list | None] = mapped_column(JSONB, nullable=True)
+    observations_updated_at: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True
+    )
+
+    def to_dict(self) -> dict:
+        return {
+            "display_name": self.display_name or "",
+            "job_title": self.job_title or "",
+            "industry": self.industry or "",
+            "expertise_level": self.expertise_level or "intermediate",
+            "response_style": self.response_style or "balanced",
+            "tone": self.tone or "casual",
+            "interests": self.interests or [],
+            "work_schedule": self.work_schedule or {},
+            "learned_summary": self.learned_summary or "",
+            "observations_count": len(self.observations_raw or []),
+            "observations_updated_at": (
+                self.observations_updated_at.isoformat()
+                if self.observations_updated_at
+                else None
+            ),
+        }

src/fabledassistant/routes/admin.py

@@ -19,6 +19,7 @@ from fabledassistant.services.backup import (
     restore_full_backup,
 )
 from fabledassistant.services.email import SMTP_SETTING_KEYS, get_base_url, get_smtp_config, is_smtp_configured, send_test_email
+from fabledassistant.services.voice_config import get_voice_config
 from fabledassistant.services.logging import get_logs, get_log_stats, log_audit
 from fabledassistant.services.notifications import send_invitation_email
 from fabledassistant.services.settings import set_setting, set_settings_batch
@@ -194,12 +195,54 @@ async def get_base_url_setting():
 async def update_base_url():
     data = await request.get_json()
     url = (data.get("base_url") or "").strip().rstrip("/")
+    if url:
+        scheme = url.split("://")[0].lower() if "://" in url else ""
+        if scheme not in ("http", "https"):
+            return jsonify({"error": "Base URL must use http or https"}), 400
     uid = get_current_user_id()
     await set_setting(uid, "base_url", url)
     await log_audit("base_url_config", user_id=uid, username=g.user.username, ip_address=request.remote_addr, details={"base_url": url})
     return jsonify({"status": "ok"})
 
 
+@admin_bp.route("/voice", methods=["GET"])
+@admin_required
+async def get_voice_config_route():
+    config = await get_voice_config()
+    return jsonify(config)
+
+
+@admin_bp.route("/voice", methods=["PUT"])
+@admin_required
+async def update_voice_config():
+    data = await request.get_json()
+    uid = get_current_user_id()
+    valid_models = {"tiny.en", "base.en", "small.en", "medium.en"}
+    settings: dict[str, str] = {}
+    if "voice_enabled" in data:
+        settings["voice_enabled"] = "true" if data["voice_enabled"] else "false"
+    if "voice_stt_model" in data:
+        model = str(data["voice_stt_model"])
+        if model not in valid_models:
+            return jsonify({"error": f"Invalid STT model. Choose from: {', '.join(sorted(valid_models))}"}), 400
+        settings["voice_stt_model"] = model
+    if settings:
+        await set_settings_batch(uid, settings)
+    await log_audit("voice_config", user_id=uid, username=g.user.username, ip_address=request.remote_addr, details=settings)
+    return jsonify({"status": "ok"})
+
+
+@admin_bp.route("/voice/reload", methods=["POST"])
+@admin_required
+async def reload_voice_models():
+    """Reload STT and TTS models in the background without a server restart."""
+    from fabledassistant.services.stt import reload_stt_model
+    from fabledassistant.services.tts import reload_tts_model
+    asyncio.create_task(reload_stt_model())
+    asyncio.create_task(reload_tts_model())
+    return jsonify({"status": "loading"})
+
+
 @admin_bp.route("/invitations", methods=["POST"])
 @admin_required
 async def create_invite():

src/fabledassistant/routes/briefing.py

@@ -10,7 +10,7 @@ from sqlalchemy import select
 from fabledassistant.auth import login_required
 from fabledassistant.models import async_session
 from fabledassistant.models.conversation import Conversation, Message
-from fabledassistant.models.rss_feed import RssFeed
+from fabledassistant.models.rss_feed import RssFeed, RssItem
 from fabledassistant.services import rss as rss_svc
 from fabledassistant.services import weather as weather_svc
 from fabledassistant.services.briefing_conversations import (
@@ -18,6 +18,9 @@ from fabledassistant.services.briefing_conversations import (
     list_briefing_conversations,
     post_message,
 )
+from fabledassistant.services.chat import add_message, get_conversation
+from fabledassistant.services.generation_buffer import create_buffer, get_buffer
+from fabledassistant.services.generation_task import run_generation
 from fabledassistant.services.settings import get_setting, set_settings_batch
 
 logger = logging.getLogger(__name__)
@@ -242,12 +245,30 @@ async def get_conversation_messages(conv_id: int):
 @briefing_bp.route("/trigger", methods=["POST"])
 @_REQUIRE
 async def manual_trigger():
-    """Dev/admin endpoint to manually trigger a briefing compilation."""
+    """Manually trigger a briefing compilation, including a fresh data refresh."""
     data = await request.get_json() or {}
     slot = data.get("slot", "compilation")
     if slot not in ("compilation", "morning", "midday", "afternoon"):
         return jsonify({"error": "invalid slot"}), 400
 
+    # Refresh external data first (mirrors what the scheduler does)
+    try:
+        from fabledassistant.services.rss import refresh_all_feeds
+        config_raw = await get_setting(g.user.id, "briefing_config", "{}")
+        config = json.loads(config_raw) if isinstance(config_raw, str) else {}
+        await refresh_all_feeds(g.user.id)
+        for key, loc in config.get("locations", {}).items():
+            if loc.get("lat") and loc.get("lon"):
+                await weather_svc.refresh_location_cache(
+                    user_id=g.user.id,
+                    location_key=key,
+                    location_label=loc.get("label", key),
+                    lat=loc["lat"],
+                    lon=loc["lon"],
+                )
+    except Exception:
+        logger.warning("Pre-trigger refresh failed for user %d", g.user.id, exc_info=True)
+
     from fabledassistant.services.briefing_pipeline import run_compilation
 
     model = await get_setting(g.user.id, "default_model", "")
@@ -388,6 +409,7 @@ async def list_news():
             "title": r["title"],
             "url": r["url"],
             "snippet": (r["content"] or "")[:300],
+            "content": r["content"] or "",
             "published_at": r["published_at"].isoformat() if r["published_at"] else None,
             "topics": r["topics"] or [],
             "source": r["feed_title"],
@@ -396,3 +418,90 @@ async def list_news():
         for r in rows
     ]
     return jsonify({"items": items, "offset": offset, "limit": limit})
+
+
+# ── Article Discuss ────────────────────────────────────────────────────────────
+
+@briefing_bp.route("/articles/<int:item_id>/discuss", methods=["POST"])
+@_REQUIRE
+async def discuss_article(item_id: int):
+    """Inject article content as a synthetic tool exchange and trigger generation."""
+    data = await request.get_json() or {}
+    conv_id = data.get("conv_id")
+    if not conv_id:
+        return jsonify({"error": "conv_id required"}), 400
+
+    uid = g.user.id
+
+    # Verify item belongs to user via feed ownership
+    async with async_session() as session:
+        result = await session.execute(
+            select(RssItem)
+            .join(RssFeed, RssFeed.id == RssItem.feed_id)
+            .where(RssItem.id == item_id, RssFeed.user_id == uid)
+        )
+        item = result.scalars().first()
+    if item is None:
+        return jsonify({"error": "Not found"}), 404
+
+    # Verify conversation belongs to user
+    conv = await get_conversation(uid, conv_id)
+    if conv is None:
+        return jsonify({"error": "Conversation not found"}), 404
+
+    # Reject if generation already running
+    if get_buffer(conv_id) is not None:
+        return jsonify({"error": "Generation already in progress"}), 409
+
+    article_content = item.content or ""
+
+    # Store synthetic assistant message with read_article tool result
+    synthetic_tool_calls = [{
+        "function": "read_article",
+        "arguments": {"url": item.url},
+        "result": {
+            "success": True,
+            "type": "article_content",
+            "url": item.url,
+            "content": article_content,
+            "truncated": False,
+        },
+    }]
+    await add_message(conv_id, "assistant", "", status="complete", tool_calls=synthetic_tool_calls)
+
+    # Store user message
+    await add_message(conv_id, "user", "Please summarize and discuss this article.")
+
+    # Reload conversation with fresh messages to build history
+    conv = await get_conversation(uid, conv_id)
+    assert conv is not None
+
+    history = []
+    for msg in conv.messages:
+        if msg.role == "system":
+            continue
+        msg_dict = {"role": msg.role, "content": msg.content or ""}
+        if msg.tool_calls:
+            msg_dict["tool_calls"] = [
+                {"function": {"name": tc["function"], "arguments": tc["arguments"]}}
+                for tc in msg.tool_calls
+            ]
+            history.append(msg_dict)
+            for tc in msg.tool_calls:
+                history.append({"role": "tool", "content": json.dumps(tc.get("result", {}))})
+        else:
+            history.append(msg_dict)
+
+    model = await get_setting(uid, "default_model", "") or ""
+
+    assistant_msg = await add_message(conv_id, "assistant", "", status="generating")
+    buf = create_buffer(conv_id, assistant_msg.id)
+
+    asyncio.create_task(run_generation(
+        buf, history, model,
+        uid, conv_id, conv.title or "",
+        "Please summarize and discuss this article.",
+        think=True,
+    ))
+
+    return jsonify({"assistant_message_id": assistant_msg.id, "status": "generating"}), 202

src/fabledassistant/routes/chat.py

@@ -11,7 +11,6 @@ from fabledassistant.config import Config
 from fabledassistant.services.chat import (
     add_message,
     bulk_delete_conversations,
-    cleanup_old_conversations,
     create_conversation,
     delete_conversation,
     get_conversation,
@@ -40,14 +39,6 @@ async def list_conversations_route():
     uid = get_current_user_id()
     limit, offset = parse_pagination()
     conv_type = request.args.get("type", "chat")
-    # Apply retention policy before returning list
-    retention_str = await get_setting(uid, "chat_retention_days", "90")
-    try:
-        retention_days = int(retention_str)
-    except (ValueError, TypeError):
-        retention_days = 90
-    if retention_days > 0:
-        await cleanup_old_conversations(uid, retention_days)
     conversations, total = await list_conversations(uid, limit=limit, offset=offset, conv_type=conv_type)
     return jsonify({
         "conversations": conversations,
@@ -76,7 +67,7 @@ async def create_conversation_route():
     model = data.get("model", Config.OLLAMA_MODEL)
     conversation_type = data.get("conversation_type", "chat")
     # Only allow known types to prevent accidental misuse
-    if conversation_type not in ("chat", "mcp"):
+    if conversation_type not in ("chat", "mcp", "voice"):
         conversation_type = "chat"
     conv = await create_conversation(uid, title=title, model=model, conversation_type=conversation_type)
     return jsonify(conv.to_dict()), 201
@@ -171,8 +162,19 @@ async def send_message_route(conv_id: int):
     # Build history from existing messages (excluding system and the placeholder)
     history = []
     for msg in conv.messages:
-        if msg.role != "system":
-            history.append({"role": msg.role, "content": msg.content})
+        if msg.role == "system":
+            continue
+        msg_dict = {"role": msg.role, "content": msg.content or ""}
+        if msg.tool_calls:
+            msg_dict["tool_calls"] = [
+                {"function": {"name": tc["function"], "arguments": tc["arguments"]}}
+                for tc in msg.tool_calls
+            ]
+            history.append(msg_dict)
+            for tc in msg.tool_calls:
+                history.append({"role": "tool", "content": json.dumps(tc.get("result", {}))})
+        else:
+            history.append(msg_dict)
 
     model = await get_setting(uid, "default_model", Config.OLLAMA_MODEL) or Config.OLLAMA_MODEL
 
@@ -187,6 +189,7 @@ async def send_message_route(conv_id: int):
         rag_project_id=effective_rag_project_id,
         workspace_project_id=workspace_project_id,
         user_timezone=user_timezone,
+        voice_mode=(conv.conversation_type == "voice"),
     ))
 
     return jsonify({
@@ -501,3 +504,51 @@ async def delete_model_route():
     except Exception as e:
         logger.warning("Failed to delete model %s: %s", model_name, e)
         return jsonify({"error": str(e)}), 500
+
+
+@chat_bp.route("/from-article/<int:item_id>", methods=["POST"])
+@login_required
+async def create_conversation_from_article(item_id: int):
+    """Create a chat conversation seeded with an RSS article's content."""
+    from sqlalchemy import select as _select
+    from fabledassistant.models import async_session as _async_session
+    from fabledassistant.models.conversation import Message
+    from fabledassistant.models.rss_feed import RssItem, RssFeed
+
+    uid = get_current_user_id()
+
+    async with _async_session() as session:
+        result = await session.execute(
+            _select(RssItem, RssFeed.title.label("feed_title"))
+            .join(RssFeed, RssItem.feed_id == RssFeed.id)
+            .where(RssItem.id == item_id, RssFeed.user_id == uid)
+        )
+        row = result.first()
+
+    if row is None:
+        return jsonify({"error": "Article not found"}), 404
+
+    item, feed_title = row
+
+    conv_title = (item.title or "Article discussion")[:80]
+    conv = await create_conversation(uid, title=conv_title, conversation_type="chat")
+
+    source = feed_title or "News"
+    content_body = (item.content or "").strip()
+    seeded_text = f"**{source}**\n\n**{item.title}**"
+    if content_body:
+        seeded_text += f"\n\n{content_body}"
+    if item.url:
+        seeded_text += f"\n\nSource: {item.url}"
+
+    async with _async_session() as session:
+        msg = Message(
+            conversation_id=conv.id,
+            role="assistant",
+            content=seeded_text,
+            msg_metadata={"rss_item_ids": [item_id]},
+        )
+        session.add(msg)
+        await session.commit()
+
+    return jsonify({"conversation_id": conv.id}), 201

src/fabledassistant/routes/events.py

@@ -1,7 +1,7 @@
 """Calendar events REST API."""
 from __future__ import annotations
 
-from datetime import datetime
+from datetime import datetime, timezone
 
 from quart import Blueprint, g, jsonify, request
 
@@ -11,6 +11,14 @@ import fabledassistant.services.events as events_svc
 events_bp = Blueprint("events", __name__, url_prefix="/api/events")
 
 
+def _parse_dt(value: str) -> datetime:
+    """Parse ISO 8601 datetime string, ensuring UTC-awareness."""
+    dt = datetime.fromisoformat(value.replace("Z", "+00:00"))
+    if dt.tzinfo is None:
+        dt = dt.replace(tzinfo=timezone.utc)
+    return dt
+
+
 def _get_current_user_id() -> int:
     return g.user.id
 
@@ -23,8 +31,8 @@ async def list_events():
     if not date_from_str or not date_to_str:
         return jsonify({"error": "from and to query params are required"}), 400
     try:
-        date_from = datetime.fromisoformat(date_from_str)
-        date_to = datetime.fromisoformat(date_to_str)
+        date_from = _parse_dt(date_from_str)
+        date_to = _parse_dt(date_to_str)
     except ValueError:
         return jsonify({"error": "Invalid datetime format"}), 400
     events = await events_svc.list_events(
@@ -32,7 +40,7 @@ async def list_events():
         date_from=date_from,
         date_to=date_to,
     )
-    return jsonify([e.to_dict() for e in events])
+    return jsonify(events)
 
 
 @events_bp.post("")
@@ -42,8 +50,8 @@ async def create_event():
     if not data.get("title") or not data.get("start_dt"):
         return jsonify({"error": "title and start_dt are required"}), 400
     try:
-        start_dt = datetime.fromisoformat(data["start_dt"])
-        end_dt = datetime.fromisoformat(data["end_dt"]) if data.get("end_dt") else None
+        start_dt = _parse_dt(data["start_dt"])
+        end_dt = _parse_dt(data["end_dt"]) if data.get("end_dt") else None
     except ValueError:
         return jsonify({"error": "Invalid datetime format"}), 400
     event = await events_svc.create_event(
@@ -57,6 +65,7 @@ async def create_event():
         color=data.get("color", ""),
         recurrence=data.get("recurrence"),
         project_id=data.get("project_id"),
+        reminder_minutes=data.get("reminder_minutes"),
     )
     return jsonify(event.to_dict()), 201
 
@@ -84,15 +93,19 @@ async def update_event(event_id: int):
     for bool_field in ("all_day",):
         if bool_field in data:
             fields[bool_field] = data[bool_field]
-    for int_field in ("project_id",):
+    for int_field in ("project_id", "reminder_minutes"):
         if int_field in data:
             fields[int_field] = data[int_field]
     for dt_field in ("start_dt", "end_dt"):
-        if dt_field in data and data[dt_field]:
-            try:
-                fields[dt_field] = datetime.fromisoformat(data[dt_field])
-            except ValueError:
-                return jsonify({"error": f"Invalid datetime for {dt_field}"}), 400
+        if dt_field in data:
+            if data[dt_field] is None:
+                # Explicit null clears the field (e.g. removing end_dt)
+                fields[dt_field] = None
+            elif data[dt_field]:
+                try:
+                    fields[dt_field] = _parse_dt(data[dt_field])
+                except ValueError:
+                    return jsonify({"error": f"Invalid datetime for {dt_field}"}), 400
     event = await events_svc.update_event(
         user_id=_get_current_user_id(),
         event_id=event_id,
@@ -117,3 +130,12 @@ async def delete_event(event_id: int):
         event_id=event_id,
     )
     return "", 204
+
+
+@events_bp.post("/sync")
+@login_required
+async def sync_caldav():
+    """Trigger a CalDAV pull sync for the current user."""
+    from fabledassistant.services.caldav_sync import sync_user_events
+    result = await sync_user_events(user_id=_get_current_user_id())
+    return jsonify(result)

src/fabledassistant/routes/knowledge.py

@@ -0,0 +1,144 @@
+"""Unified Knowledge endpoint — notes, people, places, lists in one queryable feed."""
+import logging
+
+from quart import Blueprint, jsonify, request
+
+from fabledassistant.auth import get_current_user_id, login_required
+from fabledassistant.routes.utils import parse_pagination
+
+logger = logging.getLogger(__name__)
+
+knowledge_bp = Blueprint("knowledge", __name__, url_prefix="/api/knowledge")
+
+_VALID_TYPES = {"note", "person", "place", "list"}
+_VALID_SORTS = {"modified", "created", "alpha", "type"}
+
+
+@knowledge_bp.route("", methods=["GET"])
+@login_required
+async def list_knowledge():
+    """Return paginated knowledge objects with optional filtering.
+
+    Query params:
+      type        — one of note|person|place|list (omit for all, excludes tasks)
+      tags        — comma-separated tag filter (AND logic)
+      sort        — modified|created|alpha|type (default: modified)
+      q           — search query (semantic when provided, keyword fallback)
+      page        — 1-based page number (default 1)
+      per_page    — items per page (default 24, max 100)
+    """
+    uid = get_current_user_id()
+    note_type = request.args.get("type", "").strip().lower() or None
+    tags_raw = request.args.get("tags", "").strip()
+    tags = [t.strip() for t in tags_raw.split(",") if t.strip()] if tags_raw else []
+    sort = request.args.get("sort", "modified").strip().lower()
+    q = request.args.get("q", "").strip() or None
+
+    if note_type and note_type not in _VALID_TYPES:
+        return jsonify({"error": f"Invalid type. Must be one of: {', '.join(sorted(_VALID_TYPES))}"}), 400
+    if sort not in _VALID_SORTS:
+        sort = "modified"
+
+    limit, offset = parse_pagination(default_limit=24, max_limit=100)
+    page = max(1, int(request.args.get("page", 1)))
+
+    from fabledassistant.services.knowledge import query_knowledge
+    items, total = await query_knowledge(
+        user_id=uid,
+        note_type=note_type,
+        tags=tags,
+        sort=sort,
+        q=q,
+        limit=limit,
+        offset=offset,
+    )
+
+    return jsonify({
+        "items": items,
+        "total": total,
+        "page": page,
+        "per_page": limit,
+        "pages": max(1, (total + limit - 1) // limit),
+    })
+
+
+@knowledge_bp.route("/ids", methods=["GET"])
+@login_required
+async def list_knowledge_ids():
+    """Return note IDs only (cheap) for the two-tier pagination feed.
+
+    Same filter params as GET /api/knowledge.
+    Additional params: limit (default 100, max 200), offset (default 0).
+    Returns {ids, total, has_more}.
+    """
+    uid = get_current_user_id()
+    note_type = request.args.get("type", "").strip().lower() or None
+    tags_raw = request.args.get("tags", "").strip()
+    tags = [t.strip() for t in tags_raw.split(",") if t.strip()] if tags_raw else []
+    sort = request.args.get("sort", "modified").strip().lower()
+    q = request.args.get("q", "").strip() or None
+    if sort not in _VALID_SORTS:
+        sort = "modified"
+    try:
+        limit = min(int(request.args.get("limit", 100)), 200)
+        offset = max(0, int(request.args.get("offset", 0)))
+    except ValueError:
+        return jsonify({"error": "Invalid limit or offset"}), 400
+
+    if note_type and note_type not in _VALID_TYPES:
+        return jsonify({"error": "Invalid type"}), 400
+
+    from fabledassistant.services.knowledge import query_knowledge_ids
+    ids, total = await query_knowledge_ids(
+        user_id=uid, note_type=note_type, tags=tags,
+        sort=sort, q=q, limit=limit, offset=offset,
+    )
+    return jsonify({"ids": ids, "total": total, "has_more": (offset + len(ids)) < total})
+
+
+@knowledge_bp.route("/batch", methods=["GET"])
+@login_required
+async def get_knowledge_batch():
+    """Fetch full items for a comma-separated list of IDs (max 100).
+
+    Returns {items: [...]} in the order of the requested IDs.
+    """
+    uid = get_current_user_id()
+    ids_raw = request.args.get("ids", "").strip()
+    if not ids_raw:
+        return jsonify({"items": []})
+    try:
+        ids = [int(x) for x in ids_raw.split(",") if x.strip()]
+    except ValueError:
+        return jsonify({"error": "Invalid IDs"}), 400
+    if len(ids) > 100:
+        return jsonify({"error": "Too many IDs (max 100)"}), 400
+
+    from fabledassistant.services.knowledge import get_knowledge_by_ids
+    items = await get_knowledge_by_ids(uid, ids)
+    return jsonify({"items": items})
+
+
+@knowledge_bp.route("/tags", methods=["GET"])
+@login_required
+async def list_knowledge_tags():
+    """Return all tags used across knowledge objects (excludes tasks)."""
+    uid = get_current_user_id()
+    note_type = request.args.get("type", "").strip().lower() or None
+
+    from fabledassistant.services.knowledge import get_knowledge_tags
+    tags = await get_knowledge_tags(uid, note_type=note_type)
+    return jsonify({"tags": tags})
+
+
+@knowledge_bp.route("/counts", methods=["GET"])
+@login_required
+async def get_knowledge_counts():
+    """Return per-type counts — used by the sidebar to show item counts."""
+    uid = get_current_user_id()
+    tags_raw = request.args.get("tags", "").strip()
+    tags = [t.strip() for t in tags_raw.split(",") if t.strip()] if tags_raw else None
+
+    from fabledassistant.services.knowledge import get_knowledge_counts as _counts
+    counts = await _counts(uid, tags=tags)
+    return jsonify(counts)

src/fabledassistant/routes/milestones.py

@@ -5,16 +5,17 @@ from quart import Blueprint, jsonify, request
 
 from fabledassistant.auth import login_required, get_current_user_id
 from fabledassistant.routes.utils import not_found, parse_pagination
+from fabledassistant.services.access import can_write_project
 from fabledassistant.services.milestones import (
     create_milestone,
     delete_milestone,
-    get_milestone,
+    get_milestone_in_project,
     get_milestone_progress,
     list_milestones,
     update_milestone,
 )
 from fabledassistant.services.notes import list_notes
-from fabledassistant.services.projects import get_project
+from fabledassistant.services.projects import get_project_for_user
 
 logger = logging.getLogger(__name__)
 
@@ -31,22 +32,25 @@ async def _milestone_dict(m) -> dict:
 @login_required
 async def list_milestones_route(project_id: int):
     uid = get_current_user_id()
-    project = await get_project(uid, project_id)
-    if project is None:
+    result = await get_project_for_user(uid, project_id)
+    if result is None:
         return not_found("Project")
+    project, _ = result
+    # List milestones using the project owner's uid so ownership filter matches
+    owner_uid = project.user_id or uid
     status = request.args.get("status")
-    milestones = await list_milestones(uid, project_id, status=status)
-    result = [await _milestone_dict(m) for m in milestones]
-    return jsonify({"milestones": result})
+    milestones = await list_milestones(owner_uid, project_id, status=status)
+    return jsonify({"milestones": [await _milestone_dict(m) for m in milestones]})
 
 
 @milestones_bp.route("/<int:project_id>/milestones", methods=["POST"])
 @login_required
 async def create_milestone_route(project_id: int):
     uid = get_current_user_id()
-    project = await get_project(uid, project_id)
-    if project is None:
+    if await get_project_for_user(uid, project_id) is None:
         return not_found("Project")
+    if not await can_write_project(uid, project_id):
+        return jsonify({"error": "Permission denied"}), 403
     data = await request.get_json()
     if not data.get("title"):
         return jsonify({"error": "title is required"}), 400
@@ -68,8 +72,10 @@ async def create_milestone_route(project_id: int):
 @login_required
 async def get_milestone_route(project_id: int, milestone_id: int):
     uid = get_current_user_id()
-    milestone = await get_milestone(uid, milestone_id)
-    if milestone is None or milestone.project_id != project_id:
+    if await get_project_for_user(uid, project_id) is None:
+        return not_found("Project")
+    milestone = await get_milestone_in_project(project_id, milestone_id)
+    if milestone is None:
         return not_found("Milestone")
     return jsonify(await _milestone_dict(milestone))
 
@@ -78,13 +84,19 @@ async def get_milestone_route(project_id: int, milestone_id: int):
 @login_required
 async def update_milestone_route(project_id: int, milestone_id: int):
     uid = get_current_user_id()
-    milestone = await get_milestone(uid, milestone_id)
-    if milestone is None or milestone.project_id != project_id:
+    if await get_project_for_user(uid, project_id) is None:
+        return not_found("Project")
+    if not await can_write_project(uid, project_id):
+        return jsonify({"error": "Permission denied"}), 403
+    milestone = await get_milestone_in_project(project_id, milestone_id)
+    if milestone is None:
         return not_found("Milestone")
     data = await request.get_json()
     allowed = {"title", "description", "status", "order_index"}
     fields = {k: v for k, v in data.items() if k in allowed}
-    updated = await update_milestone(uid, milestone_id, **fields)
+    if "status" in fields and fields["status"] not in ("active", "done"):
+        return jsonify({"error": "status must be 'active' or 'done'"}), 400
+    updated = await update_milestone(milestone.user_id, milestone_id, **fields)
     if updated is None:
         return not_found("Milestone")
     return jsonify(await _milestone_dict(updated))
@@ -94,10 +106,14 @@ async def update_milestone_route(project_id: int, milestone_id: int):
 @login_required
 async def delete_milestone_route(project_id: int, milestone_id: int):
     uid = get_current_user_id()
-    milestone = await get_milestone(uid, milestone_id)
-    if milestone is None or milestone.project_id != project_id:
+    if await get_project_for_user(uid, project_id) is None:
+        return not_found("Project")
+    if not await can_write_project(uid, project_id):
+        return jsonify({"error": "Permission denied"}), 403
+    milestone = await get_milestone_in_project(project_id, milestone_id)
+    if milestone is None:
         return not_found("Milestone")
-    deleted = await delete_milestone(uid, milestone_id)
+    deleted = await delete_milestone(milestone.user_id, milestone_id)
     if not deleted:
         return not_found("Milestone")
     return "", 204
@@ -107,13 +123,15 @@ async def delete_milestone_route(project_id: int, milestone_id: int):
 @login_required
 async def get_milestone_tasks_route(project_id: int, milestone_id: int):
     uid = get_current_user_id()
-    milestone = await get_milestone(uid, milestone_id)
-    if milestone is None or milestone.project_id != project_id:
+    if await get_project_for_user(uid, project_id) is None:
+        return not_found("Project")
+    milestone = await get_milestone_in_project(project_id, milestone_id)
+    if milestone is None:
         return not_found("Milestone")
     status_filter = request.args.get("status")
     limit, offset = parse_pagination(default_limit=100)
     notes, total = await list_notes(
-        uid,
+        milestone.user_id,
         is_task=True,
         status=status_filter,
         milestone_id=milestone_id,

src/fabledassistant/routes/notes.py

@@ -104,18 +104,26 @@ async def create_note_route():
         if proj:
             project_id = proj.id
 
-    note = await create_note(
-        uid,
-        title=data.get("title", ""),
-        body=body,
-        tags=tags,
-        parent_id=data.get("parent_id"),
-        project_id=project_id,
-        milestone_id=data.get("milestone_id"),
-        status=status,
-        priority=priority,
-        due_date=due_date,
-    )
+    note_type = data.get("note_type", "note")
+    entity_meta = data.get("metadata") or None
+
+    try:
+        note = await create_note(
+            uid,
+            title=data.get("title", ""),
+            body=body,
+            tags=tags,
+            parent_id=data.get("parent_id"),
+            project_id=project_id,
+            milestone_id=data.get("milestone_id"),
+            status=status,
+            priority=priority,
+            due_date=due_date,
+            note_type=note_type,
+            entity_meta=entity_meta,
+        )
+    except ValueError as e:
+        return jsonify({"error": str(e)}), 400
     text = f"{note.title}\n{note.body}".strip() if note.body else (note.title or "")
     if text:
         asyncio.create_task(upsert_note_embedding(note.id, uid, text))
@@ -207,9 +215,11 @@ async def update_note_route(note_id: int):
     uid = get_current_user_id()
     data = await request.get_json()
     fields = {}
-    for key in ("title", "body", "parent_id", "project_id", "milestone_id", "status", "priority"):
+    for key in ("title", "body", "parent_id", "project_id", "milestone_id", "status", "priority", "note_type"):
         if key in data:
             fields[key] = data[key]
+    if "metadata" in data:
+        fields["entity_meta"] = data["metadata"] or None
 
     if "due_date" in data:
         if data["due_date"]:
@@ -222,7 +232,10 @@ async def update_note_route(note_id: int):
 
     if "tags" in data:
         fields["tags"] = data["tags"]
-    note = await update_note(uid, note_id, **fields)
+    try:
+        note = await update_note(uid, note_id, **fields)
+    except ValueError as e:
+        return jsonify({"error": str(e)}), 400
     if note is None:
         return not_found("Note")
     text = f"{note.title}\n{note.body}".strip() if note.body else (note.title or "")
@@ -237,19 +250,30 @@ async def patch_note_route(note_id: int):
     uid = get_current_user_id()
     data = await request.get_json()
     fields = {}
-    for key in ("title", "body", "parent_id", "project_id", "milestone_id", "status", "priority"):
+    for key in ("title", "body", "parent_id", "project_id", "milestone_id", "status", "priority", "note_type"):
         if key in data:
             fields[key] = data[key]
+    if "metadata" in data:
+        fields["entity_meta"] = data["metadata"] or None
     if "due_date" in data:
-        result = parse_iso_date(data.get("due_date"), "due_date")
-        if isinstance(result, tuple):
-            return result
-        fields["due_date"] = result
+        if data["due_date"]:
+            result = parse_iso_date(data["due_date"], "due_date")
+            if isinstance(result, tuple):
+                return result
+            fields["due_date"] = result
+        else:
+            fields["due_date"] = None
     if "tags" in data:
         fields["tags"] = data["tags"]
-    note = await update_note(uid, note_id, **fields)
+    try:
+        note = await update_note(uid, note_id, **fields)
+    except ValueError as e:
+        return jsonify({"error": str(e)}), 400
     if note is None:
         return not_found("Note")
+    text = f"{note.title}\n{note.body}".strip() if note.body else (note.title or "")
+    if text:
+        asyncio.create_task(upsert_note_embedding(note.id, uid, text))
     return jsonify(note.to_dict())
 
 

src/fabledassistant/routes/profile.py

@@ -0,0 +1,61 @@
+from quart import Blueprint, jsonify, request
+
+from fabledassistant.auth import get_current_user_id, login_required
+from fabledassistant.services.user_profile import (
+    VALID_EXPERTISE,
+    VALID_STYLES,
+    VALID_TONES,
+    clear_learned_data,
+    consolidate_observations,
+    get_profile,
+    update_profile,
+)
+
+profile_bp = Blueprint("profile", __name__, url_prefix="/api/profile")
+
+
+@profile_bp.route("", methods=["GET"])
+@login_required
+async def get_profile_route():
+    uid = get_current_user_id()
+    profile = await get_profile(uid)
+    return jsonify(profile.to_dict())
+
+
+@profile_bp.route("", methods=["PUT"])
+@login_required
+async def update_profile_route():
+    uid = get_current_user_id()
+    data = await request.get_json()
+    if not isinstance(data, dict):
+        return jsonify({"error": "Expected a JSON object"}), 400
+
+    if "expertise_level" in data and data["expertise_level"] not in VALID_EXPERTISE:
+        return jsonify({"error": f"expertise_level must be one of {sorted(VALID_EXPERTISE)}"}), 400
+    if "response_style" in data and data["response_style"] not in VALID_STYLES:
+        return jsonify({"error": f"response_style must be one of {sorted(VALID_STYLES)}"}), 400
+    if "tone" in data and data["tone"] not in VALID_TONES:
+        return jsonify({"error": f"tone must be one of {sorted(VALID_TONES)}"}), 400
+    if "interests" in data and not isinstance(data["interests"], list):
+        return jsonify({"error": "interests must be an array"}), 400
+    if "work_schedule" in data and not isinstance(data["work_schedule"], dict):
+        return jsonify({"error": "work_schedule must be an object"}), 400
+
+    profile = await update_profile(uid, data)
+    return jsonify(profile.to_dict())
+
+
+@profile_bp.route("/consolidate", methods=["POST"])
+@login_required
+async def trigger_consolidate():
+    uid = get_current_user_id()
+    summary = await consolidate_observations(uid)
+    return jsonify({"status": "ok", "learned_summary": summary})
+
+
+@profile_bp.route("/observations", methods=["DELETE"])
+@login_required
+async def clear_observations():
+    uid = get_current_user_id()
+    await clear_learned_data(uid)
+    return jsonify({"status": "ok"})

src/fabledassistant/routes/projects.py

@@ -1,4 +1,5 @@
 """Project management routes."""
+import asyncio
 import logging
 
 from quart import Blueprint, jsonify, request
@@ -27,7 +28,19 @@ projects_bp = Blueprint("projects", __name__, url_prefix="/api/projects")
 async def list_projects_route():
     uid = get_current_user_id()
     status = request.args.get("status")
+    include_summary = request.args.get("include_summary", "").lower() in ("1", "true")
     projects = await list_projects_for_user(uid, status=status)
+    if include_summary:
+        # Fetch all summaries in parallel — one backend pass instead of N+1 frontend calls
+        async def _attach(project_dict: dict) -> dict:
+            try:
+                owner_uid = project_dict.get("user_id") or uid  # user_id now in to_dict()
+                summary = await get_project_summary(owner_uid, project_dict["id"])
+                project_dict["summary"] = summary
+            except Exception:
+                pass
+            return project_dict
+        projects = list(await asyncio.gather(*[_attach(p) for p in projects]))
     return jsonify({"projects": projects})
 
 
@@ -39,8 +52,8 @@ async def create_project_route():
     if not data.get("title"):
         return jsonify({"error": "title is required"}), 400
     status = data.get("status", "active")
-    if status not in ("active", "archived"):
-        return jsonify({"error": "status must be 'active' or 'archived'"}), 400
+    if status not in ("active", "completed", "archived"):
+        return jsonify({"error": "status must be 'active', 'completed', or 'archived'"}), 400
     project = await create_project(
         uid,
         title=data["title"],
@@ -76,6 +89,8 @@ async def update_project_route(project_id: int):
     data = await request.get_json()
     allowed = {"title", "description", "goal", "status", "color"}
     fields = {k: v for k, v in data.items() if k in allowed}
+    if "status" in fields and fields["status"] not in ("active", "completed", "archived"):
+        return jsonify({"error": "status must be 'active', 'completed', or 'archived'"}), 400
     project = await update_project(uid, project_id, **fields)
     if project is None:
         return not_found("Project")

src/fabledassistant/routes/quick_capture.py

@@ -1,77 +1,39 @@
 """Quick-capture endpoint for mobile/external clients.
 
-POST /api/quick-capture — classifies natural-language text and creates the
-appropriate item (note, task, calendar event, todo) in a single synchronous
-request.  No SSE, no conversation ID, no streaming.
+POST /api/quick-capture — sends text through the main LLM tool-calling pipeline
+and returns a single synchronous JSON response. No SSE, no conversation ID.
 """
 
-import json
 import logging
-import re
+from datetime import date
 
 from quart import Blueprint, jsonify, request
 
 from fabledassistant.auth import get_current_user_id, login_required
 from fabledassistant.config import Config
-from fabledassistant.services.intent import classify_capture_intent
-from fabledassistant.services.llm import generate_completion
+from fabledassistant.services.generation_task import _should_think
+from fabledassistant.services.llm import stream_chat_with_tools
 from fabledassistant.services.tools import execute_tool, get_tools_for_user
 
 logger = logging.getLogger(__name__)
 
 quick_capture_bp = Blueprint("quick_capture", __name__, url_prefix="/api/quick-capture")
 
-# Tools offered to the quick-capture classifier.  Excludes destructive ops
-# (delete_*) and read-only queries — worst-case fallback is a plain note.
+# Tools offered to the quick-capture endpoint. Excludes destructive ops,
+# read-only queries, and conversational-only tools.
 _CAPTURE_TOOL_NAMES = {"create_note", "create_task", "create_event", "update_note", "research_topic"}
 
-_NOTE_PROCESS_PROMPT = """\
-You are a note-taking assistant. The user has sent a quick-capture snippet. \
-Transform it into a well-formed note.
-
-Respond with ONLY a JSON object — no other text, no code fences:
-{{"title": "short descriptive title", "body": "note content in markdown"}}
-
-Rules:
-- title: 3–8 words, a genuine summary — do NOT copy the input verbatim
-- body: process the input thoughtfully:
-  - Lists of items → formatted bullet list
-  - A stream-of-thought or observation → clean prose, lightly organised
-  - Raw notes or fragments → organised paragraphs with a brief intro line
-  - URLs → include the URL and a one-sentence description of what it points to
-  - Preserve ALL information from the original; do not invent new facts
-  - Use markdown formatting (##, -, **, etc.) where it aids readability
-  - Keep it concise — do not pad with filler"""
-
-
-async def _process_note(text: str, model: str) -> tuple[str, str]:
-    """Use the main model to transform raw capture text into a title + body.
-
-    Returns (title, body). Falls back to (truncated text, full text) on any failure.
-    """
-    messages = [
-        {"role": "system", "content": _NOTE_PROCESS_PROMPT},
-        {"role": "user", "content": text},
-    ]
-    try:
-        raw = await generate_completion(messages, model, max_tokens=1024, num_ctx=4096)
-        raw = raw.strip()
-        raw = re.sub(r"^```(?:json)?\s*", "", raw)
-        raw = re.sub(r"\s*```$", "", raw).strip()
-        parsed = json.loads(raw)
-        title = str(parsed.get("title", "")).strip() or text[:60]
-        body = str(parsed.get("body", "")).strip() or text
-        return title, body
-    except Exception:
-        logger.warning("Note processing LLM call failed, using raw text", exc_info=True)
-        fallback_title = text if len(text) <= 80 else text[:77] + "..."
-        return fallback_title, text
+_SYSTEM_PROMPT = """\
+Today is {today}. You are a quick-capture assistant. The user has sent a short \
+snippet from their mobile device. Create the appropriate item — note, task, or \
+calendar event — using the available tools. Always call a tool; never reply \
+conversationally."""
 
 
 @quick_capture_bp.route("", methods=["POST"])
 @login_required
 async def quick_capture_route():
-    """Classify text and create the appropriate item, returning a single JSON response."""
+    """Classify text via native tool-calling and create the appropriate item."""
     uid = get_current_user_id()
     data = await request.get_json(silent=True) or {}
     text = data.get("text", "").strip()
@@ -81,26 +43,37 @@ async def quick_capture_route():
     from fabledassistant.services.settings import get_setting
     model = await get_setting(uid, "default_model", Config.OLLAMA_MODEL)
 
-    # Build tool list for this user, then restrict to capture-only operations.
     all_tools = await get_tools_for_user(uid)
     capture_tools = [
         t for t in all_tools if t.get("function", {}).get("name") in _CAPTURE_TOOL_NAMES
     ]
 
-    intent = await classify_capture_intent(text, capture_tools, model)
+    messages = [
+        {"role": "system", "content": _SYSTEM_PROMPT.format(today=date.today().isoformat())},
+        {"role": "user", "content": text},
+    ]
 
-    if intent.should_execute:
-        # research_topic bypasses execute_tool — run the pipeline directly
-        if intent.tool_name == "research_topic" and Config.searxng_enabled():
+    think = _should_think(text, think_requested=True)
+
+    tool_calls: list[dict] = []
+    try:
+        async for chunk in stream_chat_with_tools(messages, model, tools=capture_tools, think=think, num_ctx=4096):
+            if chunk.type == "tool_calls" and chunk.tool_calls:
+                tool_calls = chunk.tool_calls
+    except Exception:
+        logger.warning("Quick-capture LLM call failed for uid=%d", uid, exc_info=True)
+
+    if tool_calls:
+        tc = tool_calls[0]
+        tool_name = tc.get("function", {}).get("name", "")
+        arguments = tc.get("function", {}).get("arguments", {})
+
+        if tool_name == "research_topic" and Config.searxng_enabled():
             from fabledassistant.services.research import run_research_pipeline
-
-            topic = intent.arguments.get("topic", text)
+            topic = arguments.get("topic", text)
             try:
                 note = await run_research_pipeline(topic, uid, model)
-                logger.info(
-                    "Quick-capture uid=%d: research note id=%d '%s'",
-                    uid, note.id, note.title,
-                )
+                logger.info("Quick-capture uid=%d: research note id=%d '%s'", uid, note.id, note.title)
                 return jsonify({
                     "success": True,
                     "type": "note",
@@ -108,48 +81,27 @@ async def quick_capture_route():
                     "data": {"id": note.id, "title": note.title},
                 })
             except Exception as exc:
-                logger.exception("Quick-capture research failed for topic: %s", topic)
+                logger.exception("Quick-capture research failed: %s", topic)
                 return jsonify({"error": f"Research failed: {exc}"}), 500
 
-        # For notes, run a second LLM pass to generate a proper title and
-        # well-formed body rather than using the raw capture text verbatim.
-        if intent.tool_name == "create_note":
-            title, body = await _process_note(text, model)
-            intent.arguments["title"] = title
-            intent.arguments["body"] = body
-
-        result = await execute_tool(uid, intent.tool_name, intent.arguments)
+        result = await execute_tool(uid, tool_name, arguments)
         if result.get("success"):
             item_type = result.get("type", "note")
             title = (result.get("data") or {}).get("title", "")
-            logger.info(
-                "Quick-capture uid=%d: %s '%s' via intent '%s'",
-                uid, item_type, title, intent.tool_name,
-            )
+            logger.info("Quick-capture uid=%d: %s '%s'", uid, item_type, title)
             return jsonify({
                 "success": True,
                 "type": item_type,
                 "message": f"{item_type.capitalize()}: {title}",
                 "data": result.get("data"),
             })
-        logger.warning(
-            "Quick-capture uid=%d: tool '%s' returned failure: %s",
-            uid, intent.tool_name, result.get("error"),
-        )
-        # Fall through to plain-note fallback
+        logger.warning("Quick-capture uid=%d: tool '%s' failed: %s", uid, tool_name, result.get("error"))
 
-    # Fallback: classify_capture_intent returned no-tool (e.g. LLM parse failure).
-    # Still process the text through the note enrichment pass.
-    fallback_title, fallback_body = await _process_note(text, model)
-
-    result = await execute_tool(
-        uid, "create_note", {"title": fallback_title, "body": fallback_body}
-    )
+    # Fallback: create a plain note with the raw text
+    result = await execute_tool(uid, "create_note", {"title": text[:80], "body": text})
     if result.get("success"):
         title = (result.get("data") or {}).get("title", "")
-        logger.info(
-            "Quick-capture uid=%d: fallback note created '%s'", uid, title
-        )
+        logger.info("Quick-capture uid=%d: fallback note '%s'", uid, title)
         return jsonify({
             "success": True,
             "type": "note",

src/fabledassistant/routes/settings.py

@@ -1,10 +1,43 @@
+import asyncio
+import logging
+
 from quart import Blueprint, jsonify, request
 
 from fabledassistant.auth import login_required, get_current_user_id
 from fabledassistant.config import Config
 from fabledassistant.services.caldav import CALDAV_SETTING_KEYS, get_caldav_config, test_connection
 from fabledassistant.services.llm import get_installed_models, _is_private_url
-from fabledassistant.services.settings import delete_setting, get_all_settings, set_settings_batch
+from fabledassistant.services.settings import delete_setting, get_all_settings, get_setting, set_settings_batch
+
+logger = logging.getLogger(__name__)
+
+
+async def _prime_kv_cache_bg(user_id: int, model: str) -> None:
+    """Fire-and-forget: prime Ollama's KV cache with the user's system prompt."""
+    import httpx
+    from fabledassistant.services.llm import build_context, pick_num_ctx
+    try:
+        messages, _ = await build_context(
+            user_id=user_id,
+            history=[],
+            current_note_id=None,
+            user_message=" ",
+        )
+        num_ctx = pick_num_ctx(messages)
+        async with httpx.AsyncClient(timeout=120.0) as client:
+            await client.post(
+                f"{Config.OLLAMA_URL}/api/chat",
+                json={
+                    "model": model,
+                    "messages": messages,
+                    "stream": False,
+                    "options": {"num_predict": 1, "num_ctx": num_ctx},
+                    "keep_alive": "2h",
+                },
+            )
+        logger.info("Primed KV cache for user %d with model '%s' (num_ctx=%d)", user_id, model, num_ctx)
+    except Exception:
+        logger.warning("Failed to prime KV cache for user %d", user_id, exc_info=True)
 
 settings_bp = Blueprint("settings", __name__, url_prefix="/api/settings")
 
@@ -32,10 +65,10 @@ async def update_settings_route():
             if installed and model not in installed:
                 return jsonify({"error": f"Model '{model}' is not installed"}), 400
 
-    # Empty string for default_model means "reset to system default".
+    # Empty string for model keys means "reset to system default".
     # Delete the DB row so get_setting() falls back to Config defaults
     # rather than returning "" and breaking model resolution everywhere.
-    _MODEL_KEYS = frozenset({"default_model"})
+    _MODEL_KEYS = frozenset({"default_model", "background_model"})
     to_save = {}
     for k, v in data.items():
         str_v = str(v)
@@ -46,6 +79,22 @@ async def update_settings_route():
 
     if to_save:
         await set_settings_batch(uid, to_save)
+
+    # When timezone changes, live-patch the briefing scheduler immediately
+    if "user_timezone" in to_save:
+        import json as _json
+        from fabledassistant.services.briefing_scheduler import update_user_schedule
+        config_raw = await get_setting(uid, "briefing_config", "{}")
+        try:
+            config = _json.loads(config_raw) if isinstance(config_raw, str) else {}
+        except Exception:
+            config = {}
+        if config.get("enabled"):
+            update_user_schedule(uid, config, tz_override=to_save["user_timezone"] or None)
+
+    if "default_model" in to_save and to_save["default_model"]:
+        asyncio.create_task(_prime_kv_cache_bg(uid, to_save["default_model"]))
+
     settings = await get_all_settings(uid)
     return jsonify(settings)
 

src/fabledassistant/routes/tasks.py

@@ -6,6 +6,7 @@ from quart import Blueprint, jsonify, request
 from fabledassistant.auth import login_required, get_current_user_id
 from fabledassistant.models.note import TaskPriority, TaskStatus
 from fabledassistant.routes.utils import not_found, parse_iso_date, parse_pagination
+from fabledassistant.services.access import can_write_note
 from fabledassistant.services.embeddings import upsert_note_embedding
 from fabledassistant.services.notes import (
     create_note,
@@ -154,6 +155,13 @@ async def get_task_route(task_id: int):
 @login_required
 async def update_task_route(task_id: int):
     uid = get_current_user_id()
+    result = await get_note_for_user(uid, task_id)
+    if result is None:
+        return not_found("Task")
+    task_note, _ = result
+    if not await can_write_note(uid, task_id):
+        return jsonify({"error": "Permission denied"}), 403
+
     data = await request.get_json()
     fields = {}
     for key in ("title",):
@@ -198,12 +206,12 @@ async def update_task_route(task_id: int):
     if recurrence_rule is not _UNSET:
         fields["recurrence_rule"] = recurrence_rule
 
-    task = await update_note(uid, task_id, **fields)
+    task = await update_note(task_note.user_id, task_id, **fields)
     if task is None:
         return not_found("Task")
     text = f"{task.title}\n{task.body}".strip() if task.body else (task.title or "")
     if text:
-        asyncio.create_task(upsert_note_embedding(task.id, uid, text))
+        asyncio.create_task(upsert_note_embedding(task.id, task_note.user_id, text))
     return jsonify(task.to_dict())
 
 
@@ -211,17 +219,23 @@ async def update_task_route(task_id: int):
 @login_required
 async def patch_task_status(task_id: int):
     uid = get_current_user_id()
+    result = await get_note_for_user(uid, task_id)
+    if result is None:
+        return not_found("Task")
+    task_note, _ = result
+    if not await can_write_note(uid, task_id):
+        return jsonify({"error": "Permission denied"}), 403
+
     data = await request.get_json()
     status_val = data.get("status")
     if not status_val:
         return jsonify({"error": "status is required"}), 400
-
     try:
         TaskStatus(status_val)
     except ValueError:
         return jsonify({"error": f"Invalid status: {status_val}"}), 400
 
-    task = await update_note(uid, task_id, status=status_val)
+    task = await update_note(task_note.user_id, task_id, status=status_val)
     if task is None:
         return not_found("Task")
     return jsonify(task.to_dict())
@@ -252,7 +266,13 @@ async def recurrence_preview_route(task_id: int):
 @login_required
 async def delete_task_route(task_id: int):
     uid = get_current_user_id()
-    deleted = await delete_note(uid, task_id)
+    result = await get_note_for_user(uid, task_id)
+    if result is None:
+        return not_found("Task")
+    task_note, _ = result
+    if not await can_write_note(uid, task_id):
+        return jsonify({"error": "Permission denied"}), 403
+    deleted = await delete_note(task_note.user_id, task_id)
     if not deleted:
         return not_found("Task")
     return "", 204

src/fabledassistant/routes/voice.py

@@ -0,0 +1,164 @@
+"""Voice (Speech-to-Speech) routes at /api/voice."""
+import logging
+import time
+
+from quart import Blueprint, jsonify, request
+
+from fabledassistant.auth import login_required
+
+logger = logging.getLogger(__name__)
+
+voice_bp = Blueprint("voice", __name__, url_prefix="/api/voice")
+
+
+@voice_bp.route("/status", methods=["GET"])
+@login_required
+async def voice_status():
+    """Return availability of STT and TTS services."""
+    from fabledassistant.services.voice_config import get_voice_config
+    from fabledassistant.services.stt import stt_available
+    from fabledassistant.services.tts import tts_available
+
+    config = await get_voice_config()
+    enabled = config.get("voice_enabled", "false").lower() in ("1", "true", "yes")
+
+    if not enabled:
+        return jsonify({"enabled": False, "stt": False, "tts": False})
+
+    return jsonify({
+        "enabled": True,
+        "stt": stt_available(),
+        "tts": tts_available(),
+        "stt_model": config.get("voice_stt_model", "base.en"),
+        "tts_backend": "kokoro",
+    })
+
+
+@voice_bp.route("/voices", methods=["GET"])
+@login_required
+async def list_voices():
+    """Return available Kokoro voice IDs and labels."""
+    from fabledassistant.services.voice_config import is_voice_enabled
+    if not await is_voice_enabled():
+        return jsonify({"error": "Voice feature is disabled"}), 503
+
+    from fabledassistant.services.tts import list_voices, tts_available
+
+    if not tts_available():
+        return jsonify({"error": "TTS not available"}), 503
+
+    return jsonify({"voices": list_voices()})
+
+
+@voice_bp.route("/transcribe", methods=["POST"])
+@login_required
+async def transcribe_audio():
+    """Accept a multipart audio file and return the transcript.
+
+    Request: multipart/form-data with field 'audio' (WebM/Opus blob)
+    Response: {"transcript": "...", "duration_ms": 123}
+    """
+    from fabledassistant.services.voice_config import is_voice_enabled
+    if not await is_voice_enabled():
+        return jsonify({"error": "Voice feature is disabled"}), 503
+
+    from fabledassistant.services.stt import stt_available, transcribe
+
+    if not stt_available():
+        return jsonify({"error": "STT not available — model may still be loading"}), 503
+
+    files = await request.files
+    audio_file = files.get("audio")
+    if audio_file is None:
+        return jsonify({"error": "No audio file provided"}), 400
+
+    audio_bytes = audio_file.read()
+    if not audio_bytes:
+        return jsonify({"error": "Empty audio file"}), 400
+
+    if len(audio_bytes) > 25 * 1024 * 1024:  # 25 MB hard cap
+        return jsonify({"error": "Audio file too large (max 25 MB)"}), 413
+
+    mime_type = audio_file.content_type or "audio/webm"
+
+    t0 = time.monotonic()
+    try:
+        transcript = await transcribe(audio_bytes, mime_type)
+    except Exception:
+        logger.exception("STT transcription failed")
+        return jsonify({"error": "Transcription failed"}), 500
+
+    duration_ms = round((time.monotonic() - t0) * 1000)
+    return jsonify({"transcript": transcript, "duration_ms": duration_ms})
+
+
+@voice_bp.route("/synthesise", methods=["POST"])
+@login_required
+async def synthesise_speech():
+    """Convert text to speech and return WAV bytes.
+
+    Request body: {"text": "...", "voice": "af_heart", "speed": 1.0}
+    Response: audio/wav bytes
+    """
+    from fabledassistant.services.voice_config import is_voice_enabled
+    if not await is_voice_enabled():
+        return jsonify({"error": "Voice feature is disabled"}), 503
+
+    from fabledassistant.services.tts import synthesise, tts_available
+
+    if not tts_available():
+        return jsonify({"error": "TTS not available — model may still be loading"}), 503
+
+    data = await request.get_json()
+    if not data:
+        return jsonify({"error": "JSON body required"}), 400
+
+    text = str(data.get("text", "")).strip()
+    if not text:
+        return jsonify({"error": "text is required"}), 400
+
+    if len(text) > 8000:
+        return jsonify({"error": "text too long (max 8000 characters)"}), 400
+
+    voice = str(data.get("voice", "af_heart"))
+    try:
+        speed = float(data.get("speed", 1.0))
+    except (TypeError, ValueError):
+        speed = 1.0
+
+    voice_blend = data.get("voice_blend")
+    if not isinstance(voice_blend, list) or len(voice_blend) < 2:
+        voice_blend = None
+
+    # When no explicit voice/blend/speed provided, load all voice settings from the user's profile
+    if "voice" not in data and "voice_blend" not in data and "speed" not in data:
+        from fabledassistant.services.settings import get_setting
+        from fabledassistant.auth import get_current_user_id
+        import json as _json
+        try:
+            uid = get_current_user_id()
+            saved_voice = await get_setting(uid, "voice_tts_voice", "")
+            if saved_voice:
+                voice = saved_voice
+            saved_speed = await get_setting(uid, "voice_tts_speed", "")
+            if saved_speed:
+                try:
+                    speed = float(saved_speed)
+                except ValueError:
+                    pass
+            saved_blend = await get_setting(uid, "voice_tts_blend", "")
+            if saved_blend:
+                parsed = _json.loads(saved_blend)
+                if isinstance(parsed, list) and len(parsed) >= 2:
+                    voice_blend = parsed
+        except Exception:
+            pass
+
+    try:
+        wav_bytes = await synthesise(text, voice=voice, speed=speed, voice_blend=voice_blend)
+    except Exception:
+        logger.exception("TTS synthesis failed")
+        return jsonify({"error": "Synthesis failed"}), 500
+
+    from quart import Response
+    return Response(wav_bytes, mimetype="audio/wav")

src/fabledassistant/services/briefing_pipeline.py

@@ -7,7 +7,7 @@ Slot names: 'compilation' (4am), 'morning' (8am), 'midday' (12pm), 'afternoon' (
 import asyncio
 import hashlib
 import logging
-from datetime import date, datetime, timezone
+from datetime import datetime, timezone
 from zoneinfo import ZoneInfo, ZoneInfoNotFoundError
 
 import httpx
@@ -22,14 +22,6 @@ logger = logging.getLogger(__name__)
 SLOT_NAMES = ("compilation", "morning", "midday", "afternoon")
 
 
-def slot_greeting(slot: str) -> str:
-    return {
-        "compilation": "Good morning",
-        "morning": "Good morning — you're at the office",
-        "midday": "Midday check-in",
-        "afternoon": "End of day wrap-up",
-    }.get(slot, "Update")
-
 
 def format_task(task: dict) -> str:
     parts = [task.get("title", "Untitled")]
@@ -180,14 +172,18 @@ async def _gather_internal(user_id: int) -> dict:
             user_id=user_id, date_from=day_start, date_to=day_end
         )
         for e in internal_events:
-            if e.all_day:
+            if e.get("all_day"):
                 time_str = "all day"
-            elif e.start_dt:
-                local_dt = e.start_dt.astimezone(user_tz) if e.start_dt.tzinfo else e.start_dt.replace(tzinfo=timezone.utc).astimezone(user_tz)
+            elif e.get("start_dt"):
+                from datetime import datetime as _dt
+                start = e["start_dt"]
+                if isinstance(start, str):
+                    start = _dt.fromisoformat(start)
+                local_dt = start.astimezone(user_tz) if start.tzinfo else start.replace(tzinfo=timezone.utc).astimezone(user_tz)
                 time_str = local_dt.strftime("%-I:%M %p")
             else:
                 time_str = "unknown time"
-            calendar_events.append(f"{e.title} at {time_str}")
+            calendar_events.append(f"{e.get('title', 'Event')} at {time_str}")
     except Exception:
         logger.warning("Failed to gather internal calendar events for briefing", exc_info=True)
     # Also pull CalDAV events (deduped)
@@ -241,7 +237,7 @@ async def _gather_external(user_id: int) -> dict:
 
 # ── LLM synthesis ─────────────────────────────────────────────────────────────
 
-async def _llm_synthesise(system_prompt: str, user_prompt: str, model: str) -> str:
+async def _llm_synthesise(system_prompt: str, user_prompt: str, model: str, num_ctx: int = 4096) -> str:
     """Single non-streaming LLM call. Returns the assistant's response text."""
     payload = {
         "model": model,
@@ -250,7 +246,7 @@ async def _llm_synthesise(system_prompt: str, user_prompt: str, model: str) -> s
             {"role": "user", "content": user_prompt},
         ],
         "stream": False,
-        "options": {"num_ctx": 4096, "temperature": 0.4},
+        "options": {"num_ctx": num_ctx, "temperature": 0.4},
     }
     try:
         async with httpx.AsyncClient(timeout=120.0) as client:
@@ -263,57 +259,73 @@ async def _llm_synthesise(system_prompt: str, user_prompt: str, model: str) -> s
         return ""
 
 
-def _internal_system_prompt(profile_body: str) -> str:
+def _unified_system_prompt(profile_body: str) -> str:
     return (
-        "You are a personal briefing assistant. Your job is to give the user a clear, "
-        "concise summary of their internal workload: tasks, calendar, and projects. "
-        "Be direct and prioritised — lead with what's urgent. Use plain text with light "
-        "markdown. Do not include weather or news.\n\n"
+        "You are a personal assistant delivering a daily briefing. "
+        "Speak naturally and conversationally — as if talking to the user, not writing a report. "
+        "Use no markdown: no headers, no bullet points, no bold, no lists. Write in flowing prose. "
+        "Weave together what matters today: mention the weather in a sentence, note any calendar "
+        "events or tasks due today, and briefly reference one or two noteworthy news stories. "
+        "Only mention projects if a task from one is specifically due today. "
+        "Be warm, concise, and human — aim for 3 to 5 sentences. "
+        "Future context like emails and messages will be added over time — keep the tone open and helpful.\n\n"
         + (f"User profile:\n{profile_body}\n" if profile_body else "")
     )
 
 
-def _external_system_prompt() -> str:
-    return (
-        "You are a briefing assistant for external information. Your job is to present "
-        "selected news items and summarise any remaining RSS content. "
-        "IMPORTANT: Weather is handled separately — do NOT include any weather section.\n\n"
-        "Format each news item EXACTLY as:\n"
-        "**[Headline text](source_url)**\n"
-        "*Outlet Name · Day Month*\n"
-        "One or two sentence summary.\n\n"
-        "Present news items in the EXACT ORDER they are provided. Do not reorder them. "
-        "After the news cards, add a brief paragraph for any remaining context."
-    )
+def _unified_user_prompt(internal_data: dict, external_data: dict, slot: str, temp_unit: str = "C") -> str:
+    lines = [f"Date: {internal_data['date']}", f"Slot: {slot}", ""]
 
+    # Weather (brief — card handles detail)
+    weather = external_data.get("weather") or []
+    if weather:
+        loc = weather[0]
+        days = loc.get("days") or []
+        if days:
+            d = days[0]
+            t_min = _format_temp(d["temp_min"], temp_unit)
+            t_max = _format_temp(d["temp_max"], temp_unit)
+            unit_sym = f"°{temp_unit}"
+            lines.append(
+                f"WEATHER: {loc['location_label']} — {d['description']}, "
+                f"{t_min}–{t_max}{unit_sym}"
+            )
+            lines.append("")
 
-def _internal_user_prompt(data: dict, slot: str) -> str:
-    lines = [f"Briefing slot: {slot}", f"Date: {data['date']}", ""]
-    if data.get("unchanged_task_count", 0) > 0:
-        lines.append(
-            f"({data['unchanged_task_count']} tasks are unchanged since the last briefing "
-            "— acknowledge briefly, do not list them.)"
-        )
+    # Today's calendar events
+    if internal_data.get("calendar_events"):
+        lines.append("TODAY'S EVENTS:")
+        lines.extend(f"  - {e}" for e in internal_data["calendar_events"])
         lines.append("")
-    changed = data.get("changed_tasks") or data.get("overdue_tasks", [])
-    if changed:
-        lines.append(f"CHANGED/NEW TASKS ({len(changed)}):")
-        lines.extend(f"  - {t}" for t in changed)
+
+    # Tasks due today
+    if internal_data.get("due_today"):
+        lines.append("DUE TODAY:")
+        lines.extend(f"  - {t}" for t in internal_data["due_today"])
         lines.append("")
-    if data.get("due_today"):
-        lines.append(f"DUE TODAY ({len(data['due_today'])}):")
-        lines.extend(f"  - {t}" for t in data["due_today"])
+
+    # Overdue tasks (brief mention only)
+    if internal_data.get("overdue_tasks"):
+        overdue = internal_data["overdue_tasks"]
+        lines.append(f"OVERDUE ({len(overdue)} task{'s' if len(overdue) != 1 else ''}):")
+        lines.extend(f"  - {t}" for t in overdue[:3])
+        if len(overdue) > 3:
+            lines.append(f"  (and {len(overdue) - 3} more)")
         lines.append("")
-    if data.get("high_priority"):
-        lines.append("HIGH PRIORITY (in progress):")
-        lines.extend(f"  - {t}" for t in data["high_priority"])
+
+    # News highlights (top 3 with excerpts — right panel shows full list)
+    rss = external_data.get("rss_items") or []
+    if rss:
+        lines.append("NEWS HIGHLIGHTS (weave 1-2 into your briefing naturally; the full list is shown separately):")
+        for item in rss[:3]:
+            source = item.get("feed_title") or item.get("source") or "News"
+            title = item.get("title", "")
+            excerpt = (item.get("content") or item.get("snippet") or "")[:500].strip()
+            lines.append(f"  [{source}] {title}")
+            if excerpt:
+                lines.append(f"    {excerpt}")
         lines.append("")
-    if data["calendar_events"]:
-        lines.append("CALENDAR TODAY:")
-        lines.extend(f"  - {e}" for e in data["calendar_events"])
-        lines.append("")
-    if data["active_projects"]:
-        lines.append(f"ACTIVE PROJECTS: {', '.join(data['active_projects'])}")
+
     return "\n".join(lines)
 
 
@@ -324,31 +336,6 @@ def _format_temp(value: float, unit: str) -> str:
     return f"{value:.0f}"
 
 
-def _external_user_prompt(data: dict, slot: str, temp_unit: str = "C") -> str:
-    unit_sym = f"°{temp_unit}"
-    lines = [f"Briefing slot: {slot}", ""]
-    if data["weather"]:
-        lines.append("WEATHER:")
-        for loc in data["weather"]:
-            lines.append(f"  {loc['location_label']}:")
-            for day in loc["days"][:3]:
-                t_min = _format_temp(day["temp_min"], temp_unit)
-                t_max = _format_temp(day["temp_max"], temp_unit)
-                lines.append(
-                    f"    {day['date']}: {day['description']}, "
-                    f"{t_min}–{t_max}{unit_sym}, {day['precip_mm']}mm rain"
-                )
-            if loc["changes_since_last_fetch"]:
-                lines.append("  FORECAST CHANGES:")
-                lines.extend(f"    - {c}" for c in loc["changes_since_last_fetch"])
-        lines.append("")
-    if data["rss_items"]:
-        lines.append(f"RSS DIGEST ({len(data['rss_items'])} items):")
-        for item in data["rss_items"][:15]:
-            lines.append(f"  [{item.get('feed_title', 'Feed')}] {item['title']}")
-            if item.get("content"):
-                lines.append(f"    {item['content'][:200]}")
-    return "\n".join(lines)
 
 
 # ── Main entry point ───────────────────────────────────────────────────────────
@@ -378,7 +365,7 @@ async def run_compilation(
     if model is None:
         model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
 
-    from fabledassistant.services.briefing_profile import get_profile_body
+    from fabledassistant.services.user_profile import build_profile_context
     from fabledassistant.services.briefing_preferences import (
         load_topic_preferences,
         load_topic_reaction_scores,
@@ -386,8 +373,8 @@ async def run_compilation(
     )
     from fabledassistant.services.weather import parse_weather_card_data, get_cached_weather_rows
 
-    profile_body, temp_unit = await asyncio.gather(
-        get_profile_body(user_id),
+    profile_context, temp_unit = await asyncio.gather(
+        build_profile_context(user_id),
         _get_temp_unit(user_id),
     )
 
@@ -434,7 +421,6 @@ async def run_compilation(
 
     # ── LLM Synthesis ──────────────────────────────────────────────────────────
     # Build filtered internal data with only changed tasks
-    today = internal_data["date"]
     internal_data_filtered = dict(internal_data)
     internal_data_filtered["unchanged_task_count"] = unchanged_count
     internal_data_filtered["changed_tasks"] = [format_task(t) for t in changed_tasks]
@@ -445,17 +431,11 @@ async def run_compilation(
         "weather": [],
     }
 
-    internal_text, external_text = await asyncio.gather(
-        _llm_synthesise(
-            _internal_system_prompt(profile_body),
-            _internal_user_prompt(internal_data_filtered, slot),
-            model,
-        ),
-        _llm_synthesise(
-            _external_system_prompt(),
-            _external_user_prompt(external_data_filtered, slot, temp_unit),
-            model,
-        ),
+    briefing_text = await _llm_synthesise(
+        _unified_system_prompt(profile_context),
+        _unified_user_prompt(internal_data_filtered, external_data_filtered, slot, temp_unit),
+        model,
+        num_ctx=8192,
     )
 
     # ── Post-processing ─────────────────────────────────────────────────────────
@@ -463,18 +443,11 @@ async def run_compilation(
 
     metadata: dict = {"rss_item_ids": rss_item_ids, "rss_items": rss_items_meta, "weather": weather_card}
 
-    if not internal_text and not external_text:
+    if not briefing_text:
         logger.warning("Briefing compilation produced no content for user %d slot %s", user_id, slot)
         return "", metadata
 
-    greeting = slot_greeting(slot)
-    parts = [f"**{greeting} — {today}**", ""]
-    if internal_text:
-        parts += ["## Your Day", "", internal_text, ""]
-    if external_text:
-        parts += ["## The World", "", external_text]
-
-    return "\n".join(parts).strip(), metadata
+    return briefing_text, metadata
 
 
 async def run_slot_injection(user_id: int, slot: str, model: str | None = None) -> str:
@@ -492,13 +465,12 @@ async def run_slot_injection(user_id: int, slot: str, model: str | None = None)
     )
 
     system = (
-        f"You are a briefing assistant providing a {slot} update. Be brief — "
-        "the user has already seen the morning briefing. Focus on what's changed or new."
+        f"You are a personal assistant giving a brief {slot} check-in. "
+        "The user already had their morning briefing — focus only on what's changed or newly relevant. "
+        "Speak naturally in 2-3 sentences, no markdown formatting, no headers or bullet points."
     )
-    user_prompt = (
-        f"Slot: {slot}\n\n"
-        + _internal_user_prompt(internal_data, slot)
-        + "\n\n"
-        + _external_user_prompt(external_data, slot, temp_unit)
+    return await _llm_synthesise(
+        system,
+        _unified_user_prompt(internal_data, external_data, slot, temp_unit),
+        model,
     )
-    return await _llm_synthesise(system, user_prompt, model)

src/fabledassistant/services/briefing_scheduler.py

@@ -51,8 +51,8 @@ def _resolve_timezone(tz_str: str) -> str:
         return "UTC"
 
 
-async def _get_briefing_enabled_users() -> list[tuple[int, str]]:
-    """Return [(user_id, iana_timezone)] for all users with briefing enabled."""
+async def _get_briefing_enabled_users() -> list[tuple[int, str, dict]]:
+    """Return [(user_id, iana_timezone, config)] for all users with briefing enabled."""
     import json
     async with async_session() as session:
         result = await session.execute(
@@ -71,7 +71,7 @@ async def _get_briefing_enabled_users() -> list[tuple[int, str]]:
             if config.get("enabled"):
                 tz_str = settings.get("user_timezone") or config.get("timezone", "UTC")
                 tz = _resolve_timezone(tz_str)
-                enabled.append((user_id, tz))
+                enabled.append((user_id, tz, config))
         except Exception:
             pass
     return enabled
@@ -81,16 +81,24 @@ def _job_id(user_id: int, slot: str) -> str:
     return f"briefing_{slot}_user_{user_id}"
 
 
-def _add_user_jobs(user_id: int, tz: str) -> None:
-    """Add (or replace) all 4 slot jobs for a user in their timezone."""
+def _add_user_jobs(user_id: int, tz: str, config: dict | None = None) -> None:
+    """Add (or replace) slot jobs for a user, skipping disabled slots."""
     if _scheduler is None or _loop is None:
         return
+    enabled_slots = (config or {}).get("slots", {})
     for slot_name, hour, minute in SLOTS:
+        jid = _job_id(user_id, slot_name)
+        # compilation always runs; other slots default to True if not in config
+        slot_on = enabled_slots.get(slot_name, True)
+        if not slot_on:
+            if _scheduler.get_job(jid):
+                _scheduler.remove_job(jid)
+            continue
         _scheduler.add_job(
             _run_user_slot_sync,
             CronTrigger(hour=hour, minute=minute, timezone=tz),
             args=[user_id, slot_name],
-            id=_job_id(user_id, slot_name),
+            id=jid,
             replace_existing=True,
             misfire_grace_time=3600,
         )
@@ -119,7 +127,7 @@ def update_user_schedule(user_id: int, config: dict, tz_override: str | None = N
     if config.get("enabled"):
         tz_str = tz_override or config.get("timezone", "UTC")
         tz = _resolve_timezone(tz_str)
-        _add_user_jobs(user_id, tz)
+        _add_user_jobs(user_id, tz, config)
     else:
         _remove_user_jobs(user_id)
 
@@ -135,6 +143,24 @@ async def _run_slot_for_user(user_id: int, slot: str) -> None:
     from fabledassistant.services.settings import get_setting
     from fabledassistant.config import Config
 
+    # Morning slot: skip if today is not a configured work day
+    if slot == "morning":
+        from fabledassistant.services.user_profile import get_profile
+        tz_str = await get_setting(user_id, "user_timezone") or "UTC"
+        try:
+            user_tz = ZoneInfo(tz_str)
+        except Exception:
+            user_tz = ZoneInfo("UTC")
+        today_abbr = datetime.now(user_tz).strftime("%a")  # 'Mon', 'Tue', …
+        profile = await get_profile(user_id)
+        work_days = (profile.work_schedule or {}).get("days", ["Mon", "Tue", "Wed", "Thu", "Fri"])
+        if today_abbr not in work_days:
+            logger.info(
+                "Skipping morning slot for user %d — %s not a configured work day",
+                user_id, today_abbr,
+            )
+            return
+
     model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
 
     if slot == "compilation":
@@ -208,7 +234,7 @@ async def _run_profile_closeout(user_id: int, model: str) -> None:
     Read yesterday's briefing conversation, extract preference observations,
     and append them to the briefing profile note.
     """
-    from fabledassistant.services.briefing_profile import append_observations
+    from fabledassistant.services.user_profile import append_observations
     from fabledassistant.services.briefing_pipeline import _llm_synthesise
     from fabledassistant.models.conversation import Conversation, Message
 
@@ -255,7 +281,7 @@ async def _catchup_missed_slots(loop: asyncio.AbstractEventLoop) -> None:
     (one catch-up per slot per user, evaluated in the user's local timezone).
     """
     users = await _get_briefing_enabled_users()
-    for user_id, tz in users:
+    for user_id, tz, _config in users:
         user_tz = ZoneInfo(tz)
         now_local = datetime.now(user_tz)
         today_local = now_local.date()
@@ -323,8 +349,8 @@ async def start_briefing_scheduler(loop: asyncio.AbstractEventLoop) -> None:
         logger.exception("Failed to load briefing users at startup")
         users = []
 
-    for user_id, tz in users:
-        _add_user_jobs(user_id, tz)
+    for user_id, tz, config in users:
+        _add_user_jobs(user_id, tz, config)
 
     from fabledassistant.services.recurrence import spawn_recurring_tasks as _spawn_recurring
 
@@ -343,6 +369,21 @@ async def start_briefing_scheduler(loop: asyncio.AbstractEventLoop) -> None:
         replace_existing=True,
     )
 
+    def _run_kokoro_update_check() -> None:
+        from fabledassistant.services.tts import check_for_kokoro_updates
+        future = asyncio.run_coroutine_threadsafe(check_for_kokoro_updates(), _loop)
+        try:
+            future.result(timeout=300)
+        except Exception as exc:
+            logger.error("Kokoro update check failed: %s", exc)
+
+    _scheduler.add_job(
+        _run_kokoro_update_check,
+        CronTrigger(hour=3, minute=0, timezone="UTC"),
+        id="kokoro_update_check_daily",
+        replace_existing=True,
+    )
+
     _scheduler.start()
     logger.info(
         "Briefing scheduler started with %d user(s) across %d job(s)",

src/fabledassistant/services/caldav_sync.py

@@ -0,0 +1,192 @@
+"""CalDAV pull sync — imports remote events into the internal event store.
+
+Runs as a scheduled job (hourly) and is also callable via the API.
+Only syncs events in a rolling 30-day-past / 180-day-future window.
+"""
+from __future__ import annotations
+
+import asyncio
+import logging
+import uuid
+from datetime import datetime, timedelta, timezone
+from typing import Any
+
+from sqlalchemy import select
+
+from fabledassistant.models import async_session
+from fabledassistant.models.event import Event
+
+logger = logging.getLogger(__name__)
+
+_SYNC_PAST_DAYS = 30
+_SYNC_FUTURE_DAYS = 180
+
+
+def _parse_dt(val: Any) -> datetime | None:
+    """Convert a date or datetime from an iCal component to a UTC-aware datetime."""
+    if val is None:
+        return None
+    import datetime as _dt_mod
+    if isinstance(val, _dt_mod.datetime):
+        if val.tzinfo is None:
+            return val.replace(tzinfo=timezone.utc)
+        return val.astimezone(timezone.utc)
+    if isinstance(val, _dt_mod.date):
+        # All-day date: treat as midnight UTC
+        return datetime(val.year, val.month, val.day, tzinfo=timezone.utc)
+    return None
+
+
+def _sync_one_user(config: dict[str, str], user_id: int) -> list[dict]:
+    """Synchronous CalDAV fetch — runs in a thread executor."""
+    import caldav  # noqa: PLC0415
+
+    now = datetime.now(timezone.utc)
+    range_start = now - timedelta(days=_SYNC_PAST_DAYS)
+    range_end = now + timedelta(days=_SYNC_FUTURE_DAYS)
+
+    client = caldav.DAVClient(
+        url=config["caldav_url"],
+        username=config.get("caldav_username") or None,
+        password=config.get("caldav_password") or None,
+    )
+    principal = client.principal()
+    calendars = principal.calendars()
+    if not calendars:
+        return []
+
+    cal_name = config.get("caldav_calendar_name", "")
+    if cal_name:
+        calendars = [c for c in calendars if c.name == cal_name] or calendars
+
+    events: list[dict] = []
+    for calendar in calendars:
+        try:
+            results = calendar.date_search(start=range_start, end=range_end, expand=False)
+        except Exception:
+            logger.warning("CalDAV date_search failed for calendar %s", getattr(calendar, "name", "?"), exc_info=True)
+            continue
+        for vevent_obj in results:
+            try:
+                ical = vevent_obj.icalendar_instance
+                for component in ical.walk():
+                    if component.name != "VEVENT":
+                        continue
+                    dtstart = component.get("DTSTART")
+                    dtend = component.get("DTEND")
+                    uid = str(component.get("UID", ""))
+                    if not uid:
+                        continue
+                    start_dt = _parse_dt(dtstart.dt if dtstart else None)
+                    end_dt = _parse_dt(dtend.dt if dtend else None)
+                    if start_dt is None:
+                        continue
+
+                    import datetime as _dt_mod
+                    all_day = dtstart and isinstance(dtstart.dt, _dt_mod.date) and not isinstance(dtstart.dt, _dt_mod.datetime)
+
+                    rrule = component.get("RRULE")
+                    recurrence = rrule.to_ical().decode("utf-8") if rrule else None
+
+                    events.append({
+                        "caldav_uid": uid,
+                        "title": str(component.get("SUMMARY", "")),
+                        "start_dt": start_dt,
+                        "end_dt": end_dt,
+                        "all_day": bool(all_day),
+                        "description": str(component.get("DESCRIPTION", "")),
+                        "location": str(component.get("LOCATION", "")),
+                        "recurrence": recurrence,
+                    })
+            except Exception:
+                logger.debug("Failed to parse CalDAV event", exc_info=True)
+
+    return events
+
+
+async def sync_user_events(user_id: int) -> dict:
+    """Pull CalDAV events for one user and upsert into the DB.
+
+    Returns a summary dict: {created, updated, unchanged}.
+    """
+    from fabledassistant.services.caldav import get_caldav_config, is_caldav_configured  # noqa: PLC0415
+
+    if not await is_caldav_configured(user_id):
+        return {"skipped": True, "reason": "CalDAV not configured"}
+
+    config = await get_caldav_config(user_id)
+
+    loop = asyncio.get_running_loop()
+    try:
+        remote_events: list[dict] = await loop.run_in_executor(
+            None, _sync_one_user, config, user_id
+        )
+    except Exception:
+        logger.warning("CalDAV pull sync failed for user %d", user_id, exc_info=True)
+        return {"error": "CalDAV fetch failed"}
+
+    created = updated = unchanged = 0
+
+    async with async_session() as session:
+        for ev in remote_events:
+            caldav_uid = ev["caldav_uid"]
+            result = await session.execute(
+                select(Event).where(
+                    Event.user_id == user_id,
+                    Event.caldav_uid == caldav_uid,
+                )
+            )
+            existing = result.scalar_one_or_none()
+
+            if existing is None:
+                # Create new event
+                new_ev = Event(
+                    user_id=user_id,
+                    uid=str(uuid.uuid4()),
+                    caldav_uid=caldav_uid,
+                    title=ev["title"],
+                    start_dt=ev["start_dt"],
+                    end_dt=ev["end_dt"],
+                    all_day=ev["all_day"],
+                    description=ev["description"],
+                    location=ev["location"],
+                    recurrence=ev["recurrence"],
+                )
+                session.add(new_ev)
+                created += 1
+            else:
+                # Update if anything changed
+                changed = False
+                for field in ("title", "start_dt", "end_dt", "all_day", "description", "location", "recurrence"):
+                    if getattr(existing, field) != ev[field]:
+                        setattr(existing, field, ev[field])
+                        changed = True
+                if changed:
+                    updated += 1
+                else:
+                    unchanged += 1
+
+        await session.commit()
+
+    logger.info(
+        "CalDAV sync user %d: %d created, %d updated, %d unchanged",
+        user_id, created, updated, unchanged,
+    )
+    return {"created": created, "updated": updated, "unchanged": unchanged}
+
+
+async def sync_all_users() -> None:
+    """Pull CalDAV events for all users with CalDAV configured."""
+    from sqlalchemy import select as sa_select  # noqa: PLC0415
+
+    from fabledassistant.models.user import User  # noqa: PLC0415
+
+    async with async_session() as session:
+        result = await session.execute(sa_select(User.id))
+        user_ids = [row[0] for row in result.all()]
+
+    for user_id in user_ids:
+        try:
+            await sync_user_events(user_id)
+        except Exception:
+            logger.warning("CalDAV sync failed for user %d", user_id, exc_info=True)

src/fabledassistant/services/chat.py

@@ -81,6 +81,7 @@ async def list_conversations(
                 "model": conv.model,
                 "conversation_type": conv.conversation_type,
                 "briefing_date": conv.briefing_date.isoformat() if conv.briefing_date else None,
+                "rag_project_id": conv.rag_project_id,
                 "message_count": row[1],
                 "created_at": conv.created_at.isoformat(),
                 "updated_at": conv.updated_at.isoformat(),
@@ -131,7 +132,9 @@ async def cleanup_old_conversations(user_id: int, days: int) -> int:
             .where(
                 Conversation.user_id == user_id,
                 Conversation.updated_at < cutoff,
-                Conversation.conversation_type != "mcp",  # preserve MCP audit trail
+                Conversation.conversation_type != "mcp",      # preserve MCP audit trail
+                Conversation.conversation_type != "voice",    # voice convs managed separately
+                Conversation.conversation_type != "briefing", # briefing history managed by briefing system
             )
             .returning(Conversation.id)
         )
@@ -183,6 +186,7 @@ async def add_message(
     content: str,
     context_note_id: int | None = None,
     status: str | None = None,
+    tool_calls: list | None = None,
 ) -> Message:
     async with async_session() as session:
         kwargs: dict = dict(
@@ -193,6 +197,8 @@ async def add_message(
         )
         if status is not None:
             kwargs["status"] = status
+        if tool_calls is not None:
+            kwargs["tool_calls"] = tool_calls
         msg = Message(**kwargs)
         session.add(msg)
         # Touch conversation updated_at
@@ -222,9 +228,6 @@ async def save_response_as_note(user_id: int, message_id: int) -> dict:
     # Generate title via LLM using the assistant message content
     title = ""
     if conv:
-        model = conv.model or await get_setting(
-            user_id, "default_model", Config.OLLAMA_MODEL
-        )
         try:
             prompt_messages = [
                 {
@@ -237,7 +240,8 @@ async def save_response_as_note(user_id: int, message_id: int) -> dict:
                 },
                 {"role": "user", "content": msg.content[:2000]},
             ]
-            title = await generate_completion(prompt_messages, model)
+            bg_model = await get_setting(user_id, "background_model", Config.OLLAMA_BACKGROUND_MODEL)
+            title = await generate_completion(prompt_messages, bg_model)
             title = title.strip().strip('"\'').strip()[:100]
         except Exception:
             logger.warning("Failed to generate note title, using fallback", exc_info=True)

src/fabledassistant/services/embeddings.py

@@ -1,6 +1,7 @@
 """Semantic note search via Ollama embedding model (nomic-embed-text).
 
 Embeddings are stored in the note_embeddings table (one row per note).
+RSS item embeddings are stored in rss_item_embeddings (one row per item).
 All search operations degrade gracefully — if the embedding model is
 unavailable the callers fall back to keyword search.
 """
@@ -8,6 +9,7 @@ unavailable the callers fall back to keyword search.
 import asyncio
 import logging
 import math
+from datetime import datetime, timedelta, timezone
 
 import httpx
 from sqlalchemy import delete, select
@@ -16,6 +18,8 @@ from fabledassistant.config import Config
 from fabledassistant.models import async_session
 from fabledassistant.models.embedding import NoteEmbedding
 from fabledassistant.models.note import Note
+from fabledassistant.models.rss_feed import RssItem
+from fabledassistant.models.rss_item_embedding import RssItemEmbedding
 
 logger = logging.getLogger(__name__)
 
@@ -24,6 +28,10 @@ logger = logging.getLogger(__name__)
 # 0.45 keeps only genuinely relevant notes; lower values like 0.30 let in
 # loosely-related results that pad the sidebar without adding real value.
 _SIMILARITY_THRESHOLD = 0.45
+_RSS_SIMILARITY_THRESHOLD = 0.55
+_RSS_SEARCH_LIMIT = 3
+_RSS_SEARCH_DAYS = 30
+_RSS_SNIPPET_CHARS = 500
 
 
 async def get_embedding(text: str, model: str | None = None) -> list[float]:
@@ -55,6 +63,8 @@ def _cosine_similarity(a: list[float], b: list[float]) -> float:
 
 async def upsert_note_embedding(note_id: int, user_id: int, text: str) -> None:
     """Generate and persist an embedding for a note. Safe to fire-and-forget."""
+    if not text or not text.strip():
+        return
     try:
         embedding = await get_embedding(text)
     except Exception:
@@ -89,6 +99,8 @@ async def semantic_search_notes(
     *threshold* are returned, sorted highest-first.
     Returns an empty list if the embedding model is unavailable or on any error.
     """
+    if not query or not query.strip():
+        return []
     try:
         query_vec = await get_embedding(query)
     except Exception:
@@ -172,3 +184,176 @@ async def backfill_note_embeddings() -> None:
         await asyncio.sleep(0.05)  # gentle pacing
 
     logger.info("Embedding backfill complete: %d/%d notes embedded", success, len(notes_to_embed))
+
+
+# ── RSS item embeddings ───────────────────────────────────────────────────────
+
+async def upsert_rss_item_embedding(item_id: int, user_id: int, title: str, content: str) -> None:
+    """Generate and persist an embedding for an RSS item. Safe to fire-and-forget."""
+    text = f"{title}\n{content}".strip()
+    if not text:
+        return
+    try:
+        embedding = await get_embedding(text)
+    except Exception:
+        logger.debug("Skipping embedding for RSS item %d — model unavailable", item_id)
+        return
+
+    try:
+        async with async_session() as session:
+            await session.execute(
+                delete(RssItemEmbedding).where(RssItemEmbedding.rss_item_id == item_id)
+            )
+            session.add(RssItemEmbedding(rss_item_id=item_id, user_id=user_id, embedding=embedding))
+            await session.commit()
+        logger.debug("Upserted embedding for RSS item %d", item_id)
+    except Exception:
+        logger.warning("Failed to persist embedding for RSS item %d", item_id, exc_info=True)
+
+
+async def semantic_search_rss_items(
+    user_id: int,
+    query_vector: list[float],
+    limit: int = _RSS_SEARCH_LIMIT,
+    days: int = _RSS_SEARCH_DAYS,
+) -> list[tuple[float, RssItem]]:
+    """Return up to *limit* (score, RssItem) pairs most relevant to *query_vector*.
+
+    Only considers items fetched within the last *days* days.
+    Returns an empty list on any error.
+    """
+    since = datetime.now(timezone.utc) - timedelta(days=days)
+    try:
+        async with async_session() as session:
+            stmt = (
+                select(RssItemEmbedding, RssItem)
+                .join(RssItem, RssItemEmbedding.rss_item_id == RssItem.id)
+                .where(
+                    RssItemEmbedding.user_id == user_id,
+                    RssItem.fetched_at >= since,
+                )
+            )
+            rows = list((await session.execute(stmt)).all())
+    except Exception:
+        logger.warning("Failed to query RSS item embeddings", exc_info=True)
+        return []
+
+    if not rows:
+        return []
+
+    scored: list[tuple[float, RssItem]] = []
+    for rie, item in rows:
+        try:
+            sim = _cosine_similarity(query_vector, rie.embedding)
+        except Exception:
+            continue
+        if sim >= _RSS_SIMILARITY_THRESHOLD:
+            scored.append((sim, item))
+
+    scored.sort(key=lambda x: x[0], reverse=True)
+    return scored[:limit]
+
+
+async def backfill_rss_item_embeddings() -> None:
+    """Generate embeddings for all RSS items that don't have one yet.
+
+    Runs as a background task at startup. Adds a small sleep between items
+    to avoid overwhelming Ollama.
+    """
+    try:
+        async with async_session() as session:
+            existing = {
+                row[0]
+                for row in (
+                    await session.execute(select(RssItemEmbedding.rss_item_id))
+                ).fetchall()
+            }
+            result = await session.execute(
+                select(RssItem.id, RssItem.feed_id, RssItem.title, RssItem.content)
+            )
+            items_to_embed = [row for row in result.fetchall() if row[0] not in existing]
+    except Exception:
+        logger.warning("RSS embedding backfill: failed to query items", exc_info=True)
+        return
+
+    if not items_to_embed:
+        logger.info("RSS embedding backfill: all items already have embeddings")
+        return
+
+    # Resolve user_id per feed_id
+    try:
+        from fabledassistant.models.rss_feed import RssFeed
+        async with async_session() as session:
+            result = await session.execute(select(RssFeed.id, RssFeed.user_id))
+            feed_user_map = {fid: uid for fid, uid in result.fetchall()}
+    except Exception:
+        logger.warning("RSS embedding backfill: failed to load feed user map", exc_info=True)
+        return
+
+    logger.info("RSS embedding backfill: generating embeddings for %d items", len(items_to_embed))
+    success = 0
+    for item_id, feed_id, title, content in items_to_embed:
+        user_id = feed_user_map.get(feed_id)
+        if user_id is None:
+            continue
+        await upsert_rss_item_embedding(item_id, user_id, title or "", content or "")
+        success += 1
+        await asyncio.sleep(0.05)
+
+    logger.info("RSS embedding backfill complete: %d/%d items embedded", success, len(items_to_embed))
+
+
+async def backfill_rss_article_content() -> None:
+    """Fetch full article text for RSS items that only have short feed-provided content.
+
+    An item is considered unenriched if its content is shorter than 1000 chars —
+    typical of feed summaries/teasers rather than full articles.
+    Runs at startup after the embedding backfill.
+    """
+    from fabledassistant.services.rss import _fetch_full_article
+    from fabledassistant.models.rss_feed import RssFeed
+
+    SHORT_THRESHOLD = 1000
+
+    try:
+        async with async_session() as session:
+            feed_result = await session.execute(select(RssFeed.id, RssFeed.user_id))
+            feed_user_map = {fid: uid for fid, uid in feed_result.fetchall()}
+
+            item_result = await session.execute(
+                select(RssItem.id, RssItem.feed_id, RssItem.url, RssItem.title, RssItem.content)
+                .where(RssItem.url != "")
+            )
+            candidates = [
+                row for row in item_result.fetchall()
+                if len(row[4] or "") < SHORT_THRESHOLD
+            ]
+    except Exception:
+        logger.warning("Article content backfill: failed to query items", exc_info=True)
+        return
+
+    if not candidates:
+        logger.info("Article content backfill: no unenriched items found")
+        return
+
+    logger.info("Article content backfill: enriching %d items", len(candidates))
+    enriched = 0
+    for item_id, feed_id, url, title, _ in candidates:
+        user_id = feed_user_map.get(feed_id)
+        if user_id is None:
+            continue
+        full_text = await _fetch_full_article(url)
+        if full_text and len(full_text) > SHORT_THRESHOLD:
+            try:
+                async with async_session() as session:
+                    item = await session.get(RssItem, item_id)
+                    if item:
+                        item.content = full_text
+                        await session.commit()
+                await upsert_rss_item_embedding(item_id, user_id, title or "", full_text)
+                enriched += 1
+            except Exception:
+                logger.debug("Failed to store enriched content for item %d", item_id, exc_info=True)
+        await asyncio.sleep(0.5)
+
+    logger.info("Article content backfill complete: %d/%d items enriched", enriched, len(candidates))

src/fabledassistant/services/event_scheduler.py

@@ -0,0 +1,186 @@
+"""Scheduler jobs for background maintenance tasks.
+
+- Reminder notifications: checks every 5 minutes for due event reminders.
+- CalDAV pull sync: runs every hour for all users with CalDAV configured.
+- Chat retention cleanup: runs daily, deleting old conversations per user setting.
+
+Uses the same BackgroundScheduler pattern as briefing_scheduler.py.
+"""
+from __future__ import annotations
+
+import asyncio
+import logging
+from datetime import datetime, timedelta, timezone
+
+from apscheduler.schedulers.background import BackgroundScheduler
+from apscheduler.triggers.interval import IntervalTrigger
+from sqlalchemy import select
+
+from fabledassistant.models import async_session
+from fabledassistant.models.event import Event
+
+logger = logging.getLogger(__name__)
+
+_scheduler: BackgroundScheduler | None = None
+_loop: asyncio.AbstractEventLoop | None = None
+
+
+# ---------------------------------------------------------------------------
+# Reminder job
+# ---------------------------------------------------------------------------
+
+async def _fire_reminders() -> None:
+    """Find events with reminders due in the next 5 minutes and fire push notifications."""
+    now = datetime.now(timezone.utc)
+    window_end = now + timedelta(minutes=5)
+
+    async with async_session() as session:
+        result = await session.execute(
+            select(Event).where(
+                Event.reminder_minutes.isnot(None),
+                Event.reminder_sent_at.is_(None),
+                Event.start_dt > now,  # event hasn't started yet
+                # reminder fires when now >= start_dt - reminder_minutes
+                # i.e. start_dt <= now + reminder_minutes (approximated by window_end check)
+            )
+        )
+        candidates = list(result.scalars().all())
+
+    to_notify: list[Event] = []
+    for event in candidates:
+        reminder_dt = event.start_dt - timedelta(minutes=event.reminder_minutes)
+        if reminder_dt <= window_end:
+            to_notify.append(event)
+
+    if not to_notify:
+        return
+
+    async with async_session() as session:
+        for event in to_notify:
+            try:
+                from fabledassistant.services.push import send_push_notification  # noqa: PLC0415
+                start_local = event.start_dt.strftime("%H:%M")
+                await send_push_notification(
+                    user_id=event.user_id,
+                    title=f"Reminder: {event.title}",
+                    body=f"Starting at {start_local} UTC",
+                )
+            except Exception:
+                logger.warning("Failed to send reminder push for event %d", event.id, exc_info=True)
+
+            # Mark as sent regardless of push success to avoid re-firing
+            result = await session.execute(
+                select(Event).where(Event.id == event.id)
+            )
+            ev = result.scalar_one_or_none()
+            if ev:
+                ev.reminder_sent_at = datetime.now(timezone.utc)
+        await session.commit()
+
+
+def _run_reminders(loop: asyncio.AbstractEventLoop) -> None:
+    asyncio.run_coroutine_threadsafe(_fire_reminders(), loop)
+
+
+# ---------------------------------------------------------------------------
+# CalDAV pull sync job
+# ---------------------------------------------------------------------------
+
+async def _run_caldav_sync() -> None:
+    from fabledassistant.services.caldav_sync import sync_all_users  # noqa: PLC0415
+    try:
+        await sync_all_users()
+    except Exception:
+        logger.warning("CalDAV pull sync job failed", exc_info=True)
+
+
+def _run_caldav_sync_threadsafe(loop: asyncio.AbstractEventLoop) -> None:
+    asyncio.run_coroutine_threadsafe(_run_caldav_sync(), loop)
+
+
+# ---------------------------------------------------------------------------
+# Chat retention cleanup job
+# ---------------------------------------------------------------------------
+
+async def _run_chat_retention_cleanup() -> None:
+    """Delete old conversations for all users according to their retention setting."""
+    from sqlalchemy import select as sa_select  # noqa: PLC0415
+
+    from fabledassistant.models.user import User  # noqa: PLC0415
+    from fabledassistant.services.chat import cleanup_old_conversations  # noqa: PLC0415
+    from fabledassistant.services.settings import get_setting  # noqa: PLC0415
+
+    async with async_session() as session:
+        result = await session.execute(sa_select(User.id))
+        user_ids = [row[0] for row in result.all()]
+
+    total_deleted = 0
+    for user_id in user_ids:
+        try:
+            retention_str = await get_setting(user_id, "chat_retention_days", "90")
+            try:
+                retention_days = int(retention_str)
+            except (ValueError, TypeError):
+                retention_days = 90
+            if retention_days > 0:
+                deleted = await cleanup_old_conversations(user_id, retention_days)
+                total_deleted += deleted
+        except Exception:
+            logger.warning("Chat retention cleanup failed for user %d", user_id, exc_info=True)
+
+    if total_deleted:
+        logger.info("Chat retention cleanup: deleted %d conversation(s)", total_deleted)
+
+
+def _run_chat_retention_threadsafe(loop: asyncio.AbstractEventLoop) -> None:
+    asyncio.run_coroutine_threadsafe(_run_chat_retention_cleanup(), loop)
+
+
+# ---------------------------------------------------------------------------
+# Lifecycle
+# ---------------------------------------------------------------------------
+
+def start_event_scheduler(loop: asyncio.AbstractEventLoop) -> None:
+    global _scheduler, _loop
+    if _scheduler is not None:
+        return
+    _loop = loop
+    _scheduler = BackgroundScheduler()
+
+    # Check reminders every 5 minutes
+    _scheduler.add_job(
+        _run_reminders,
+        trigger=IntervalTrigger(minutes=5),
+        args=[loop],
+        id="event_reminders",
+        replace_existing=True,
+    )
+
+    # CalDAV pull sync every hour
+    _scheduler.add_job(
+        _run_caldav_sync_threadsafe,
+        trigger=IntervalTrigger(hours=1),
+        args=[loop],
+        id="caldav_pull_sync",
+        replace_existing=True,
+    )
+
+    # Chat retention cleanup once per day
+    _scheduler.add_job(
+        _run_chat_retention_threadsafe,
+        trigger=IntervalTrigger(hours=24),
+        args=[loop],
+        id="chat_retention_cleanup",
+        replace_existing=True,
+    )
+
+    _scheduler.start()
+    logger.info("Event scheduler started (reminders every 5m, CalDAV sync every 1h, chat cleanup every 24h)")
+
+
+def stop_event_scheduler() -> None:
+    global _scheduler
+    if _scheduler is not None:
+        _scheduler.shutdown(wait=False)
+        _scheduler = None
+        logger.info("Event scheduler stopped")

src/fabledassistant/services/events.py

@@ -6,6 +6,7 @@ import logging
 import uuid
 from datetime import datetime, timedelta, timezone
 
+from dateutil.rrule import rrulestr
 from sqlalchemy import or_, select
 
 from fabledassistant.models import async_session
@@ -25,9 +26,9 @@ async def create_event(
     color: str = "",
     recurrence: str | None = None,
     project_id: int | None = None,
+    reminder_minutes: int | None = None,
     # CalDAV-only fields (not stored in DB, forwarded to push)
     duration: int | None = None,
-    reminder_minutes: int | None = None,
     attendees: list[str] | None = None,
     calendar_name: str | None = None,
 ) -> Event:
@@ -46,6 +47,7 @@ async def create_event(
             color=color,
             recurrence=recurrence,
             project_id=project_id,
+            reminder_minutes=reminder_minutes,
         )
         session.add(event)
         await session.commit()
@@ -74,40 +76,87 @@ async def list_events(
     user_id: int,
     date_from: datetime,
     date_to: datetime,
-) -> list[Event]:
-    """List events for user_id within [date_from, date_to]."""
+) -> list[dict]:
+    """List events for user_id that overlap [date_from, date_to].
+
+    Recurring events (with an RRULE recurrence string) are expanded into
+    individual occurrences within the range.  Non-recurring events are
+    returned as-is.  All results are sorted by start time and returned as
+    dicts (same shape as Event.to_dict()).
+    """
     async with async_session() as session:
         result = await session.execute(
             select(Event).where(
                 Event.user_id == user_id,
-                Event.start_dt >= date_from,
-                Event.start_dt <= date_to,
+                # Base window: non-recurring events must overlap range;
+                # recurring events always need to be fetched so they can be expanded.
+                or_(
+                    Event.recurrence.isnot(None),
+                    Event.start_dt <= date_to,
+                ),
+                or_(
+                    Event.end_dt.is_(None),
+                    Event.end_dt >= date_from,
+                    Event.recurrence.isnot(None),
+                ),
             ).order_by(Event.start_dt)
         )
-        return result.scalars().all()
+        events = list(result.scalars().all())
+
+    items: list[dict] = []
+    for event in events:
+        if not event.recurrence:
+            items.append(event.to_dict())
+            continue
+
+        # Expand recurring event occurrences within [date_from, date_to]
+        duration = (event.end_dt - event.start_dt) if event.end_dt else None
+        try:
+            rule = rrulestr(event.recurrence, dtstart=event.start_dt, ignoretz=False)
+            occurrences = rule.between(date_from, date_to, inc=True)
+        except Exception:
+            logger.warning("Failed to expand RRULE for event %d: %r", event.id, event.recurrence)
+            items.append(event.to_dict())
+            continue
+
+        base = event.to_dict()
+        for occ in occurrences:
+            # Ensure occurrence is UTC-aware
+            if occ.tzinfo is None:
+                occ = occ.replace(tzinfo=timezone.utc)
+            occurrence_dict = dict(base)
+            occurrence_dict["start_dt"] = occ.isoformat()
+            if duration is not None:
+                occurrence_dict["end_dt"] = (occ + duration).isoformat()
+            items.append(occurrence_dict)
+
+    items.sort(key=lambda x: x["start_dt"])
+    return items
 
 
 async def search_events(
     user_id: int,
     query: str,
     days_ahead: int = 90,
+    include_past: bool = False,
 ) -> list[Event]:
     """Search events by keyword in title, description, or location."""
     now = datetime.now(timezone.utc)
-    date_to = now + timedelta(days=days_ahead)
     q = f"%{query}%"
     async with async_session() as session:
+        where = [
+            Event.user_id == user_id,
+            or_(
+                Event.title.ilike(q),
+                Event.description.ilike(q),
+                Event.location.ilike(q),
+            ),
+        ]
+        if not include_past:
+            date_to = now + timedelta(days=days_ahead)
+            where.extend([Event.start_dt >= now, Event.start_dt <= date_to])
         result = await session.execute(
-            select(Event).where(
-                Event.user_id == user_id,
-                Event.start_dt >= now,
-                Event.start_dt <= date_to,
-                or_(
-                    Event.title.ilike(q),
-                    Event.description.ilike(q),
-                    Event.location.ilike(q),
-                ),
-            ).order_by(Event.start_dt)
+            select(Event).where(*where).order_by(Event.start_dt)
         )
         return result.scalars().all()
 
@@ -123,9 +172,11 @@ async def update_event(user_id: int, event_id: int, **fields) -> Event | None:
             return None
         old_title = event.title  # capture before mutation for CalDAV lookup
         allowed = {"title", "start_dt", "end_dt", "all_day", "description",
-                   "location", "color", "recurrence", "project_id"}
+                   "location", "color", "recurrence", "project_id", "reminder_minutes"}
+        # Nullable fields that callers can explicitly set to None to clear
+        nullable = {"end_dt", "recurrence", "project_id", "reminder_minutes"}
         for key, value in fields.items():
-            if key in allowed and value is not None:
+            if key in allowed and (value is not None or key in nullable):
                 setattr(event, key, value)
         await session.commit()
         await session.refresh(event)
@@ -153,16 +204,32 @@ async def delete_event(user_id: int, event_id: int) -> None:
 
 
 async def find_events_by_query(user_id: int, query: str) -> list[Event]:
-    """ILIKE search on title — used by AI update/delete tools."""
+    """ILIKE search on title — used by AI update/delete tools.
+
+    Returns upcoming events first (start_dt >= now), falling back to
+    past events so the AI operates on the most relevant match.
+    """
     q = f"%{query}%"
+    now = datetime.now(timezone.utc)
     async with async_session() as session:
-        result = await session.execute(
+        # Prefer events at or after now; fall back to past events
+        upcoming = (await session.execute(
             select(Event).where(
                 Event.user_id == user_id,
                 Event.title.ilike(q),
+                Event.start_dt >= now,
             ).order_by(Event.start_dt)
-        )
-        return result.scalars().all()
+        )).scalars().all()
+        if upcoming:
+            return list(upcoming)
+        past = (await session.execute(
+            select(Event).where(
+                Event.user_id == user_id,
+                Event.title.ilike(q),
+                Event.start_dt < now,
+            ).order_by(Event.start_dt.desc())
+        )).scalars().all()
+        return list(past)
 
 
 # ---------------------------------------------------------------------------

src/fabledassistant/services/generation_task.py

@@ -22,8 +22,9 @@ from fabledassistant.services.generation_buffer import (
     GenerationBuffer,
     GenerationState,
 )
-from fabledassistant.services.llm import ChatChunk, build_context, generate_completion, stream_chat, stream_chat_with_tools, summarize_history_for_context, wait_for_model_loaded
+from fabledassistant.services.llm import ChatChunk, build_context, generate_completion, pick_num_ctx, stream_chat, stream_chat_with_tools, summarize_history_for_context
 from fabledassistant.services.chat import update_conversation_title
+from fabledassistant.services.settings import get_setting
 from fabledassistant.services.logging import log_generation
 from fabledassistant.services.tools import get_tools_for_user, execute_tool
 from fabledassistant.services.research import run_research_pipeline
@@ -35,6 +36,65 @@ _TOOL_CALL_MARKER = re.compile(r"^\s*\[TOOL_CALLS\]\s*", re.IGNORECASE)
 
 DB_FLUSH_INTERVAL = 5.0  # seconds between partial DB flushes
 
+# ---------------------------------------------------------------------------
+# Conditional thinking classifier
+# ---------------------------------------------------------------------------
+
+# Patterns that force think=True even on short messages
+_THINK_FORCE = re.compile(
+    r"\b("
+    r"analyz|compar|explain\s+why|help\s+me\s+(think|plan|understand|figure\s+out)|"
+    r"step[- ]by[- ]step|debug|troubleshoot|diagnos|"
+    r"pros\s+and\s+cons|trade[- ]?off|"
+    r"architect|design\s+(a|the|my|this)|"
+    r"write\s+a\s+(detailed|long|comprehensive|full)|"
+    r"brainstorm|outline\s+(a|the|my)|"
+    r"what\s+(are|is)\s+the\s+(best|difference|relationship|impact|implication)|"
+    r"how\s+(do|does|should|would|can)\s+.{0,40}\s+work|"
+    r"why\s+(is|are|does|do|did|would|should)\b"
+    r")",
+    re.IGNORECASE,
+)
+
+# Patterns that force think=False regardless of message length
+_THINK_SKIP = re.compile(
+    r"^(hi|hey|hello|thanks|thank\s+you|ok|okay|got\s+it|sounds\s+good|"
+    r"great|perfect|sure|yes|no|yep|nope|nice|cool|awesome|"
+    r"what('s| is) \d|what time|how many|remind me|add (a |an )?(task|note|reminder)|"
+    r"create (a |an )?(task|note)|delete|update|mark .{0,30} (done|complete))\b",
+    re.IGNORECASE,
+)
+
+_WORD_COUNT_THRESHOLD = 60  # messages over this word count always use think=True
+_SHORT_MESSAGE_THRESHOLD = 12  # messages under this always use think=False
+
+
+def _should_think(user_content: str, think_requested: bool) -> bool:
+    """Return whether extended thinking should be used for this request.
+
+    If the caller didn't request thinking, we never enable it. If they did,
+    we check whether the message is complex enough to warrant the overhead.
+    """
+    if not think_requested:
+        return False
+
+    text = user_content.strip()
+    word_count = len(text.split())
+
+    if word_count <= _SHORT_MESSAGE_THRESHOLD:
+        return False
+    if _THINK_SKIP.match(text):
+        return False
+    if word_count >= _WORD_COUNT_THRESHOLD:
+        return True
+    if "```" in text:
+        return True
+    if _THINK_FORCE.search(text):
+        return True
+
+    return False
+
+
 # Human-readable labels for each tool, shown in the status indicator
 _TOOL_LABELS: dict[str, str] = {
     "create_task": "Creating task",
@@ -57,7 +117,7 @@ _TOOL_LABELS: dict[str, str] = {
 }
 
 
-async def _generate_title(messages: list[dict], model: str) -> str:
+async def _generate_title(messages: list[dict], user_id: int) -> str:
     """Ask the LLM for a concise conversation title."""
     # Build conversation text like summarize_conversation_as_note
     conv_lines = []
@@ -79,7 +139,8 @@ async def _generate_title(messages: list[dict], model: str) -> str:
         },
         {"role": "user", "content": "\n\n".join(conv_lines)},
     ]
-    title = await generate_completion(prompt_messages, model, max_tokens=30)
+    bg_model = await get_setting(user_id, "background_model", Config.OLLAMA_BACKGROUND_MODEL)
+    title = await generate_completion(prompt_messages, bg_model, max_tokens=30)
     title = title.strip().strip('"\'').strip()
     return title[:100] if title else ""
 
@@ -107,6 +168,7 @@ async def _stream_with_retry(
     model: str,
     tools: list[dict],
     think: bool,
+    num_ctx: int | None = None,
 ) -> AsyncGenerator[ChatChunk, None]:
     """stream_chat_with_tools with automatic retry on Ollama 500 errors.
 
@@ -123,7 +185,7 @@ async def _stream_with_retry(
             )
             await asyncio.sleep(delay)
         try:
-            async for chunk in stream_chat_with_tools(messages, model, tools=tools, think=think):
+            async for chunk in stream_chat_with_tools(messages, model, tools=tools, think=think, num_ctx=num_ctx):
                 yield chunk
             return
         except httpx.HTTPStatusError as exc:
@@ -152,9 +214,10 @@ async def run_generation(
     rag_project_id: int | None = None,
     workspace_project_id: int | None = None,
     user_timezone: str | None = None,
+    voice_mode: bool = False,
 ) -> None:
     """Stream LLM response into buffer with periodic DB flushes."""
-    MAX_TOOL_ROUNDS = 5
+    MAX_TOOL_ROUNDS = 6
     msg_id = buf.assistant_message_id
 
     buf.append_event("status", {"status": "Building context..."})
@@ -174,10 +237,18 @@ async def run_generation(
         buf.append_event("status", {"status": "Summarizing conversation history..."})
         history_to_use, history_summary = await summarize_history_for_context(history, model)
 
-    # Phase 3: Build context and wait for model in parallel.
-    model_load_task = asyncio.create_task(wait_for_model_loaded(model, timeout=180.0))
+    # Phase 3: Build context.
+    # Note: Ollama lazy-loads models on the first /api/chat request, so polling
+    # /api/ps for model readiness only causes delay. We proceed immediately and
+    # let Ollama handle loading on demand.
 
-    context_task = asyncio.create_task(build_context(
+    # Fetch voice_speech_style from user settings when voice_mode is active.
+    voice_speech_style = "conversational"
+    if voice_mode:
+        from fabledassistant.services.settings import get_setting
+        voice_speech_style = await get_setting(user_id, "voice_speech_style", "conversational")
+
+    messages, context_meta = await build_context(
         user_id, history_to_use, context_note_id, user_content,
         history_summary=history_summary,
         include_note_ids=include_note_ids,
@@ -186,24 +257,29 @@ async def run_generation(
         workspace_project_id=workspace_project_id,
         user_timezone=user_timezone,
         conv_id=conv_id,
-    ))
+        voice_mode=voice_mode,
+        voice_speech_style=voice_speech_style,
+    )
 
-    messages, context_meta = await context_task
+    # Pick the smallest context tier that fits the current messages.
+    # Using the minimum needed tier reduces KV cache size and speeds up prefill.
+    num_ctx = pick_num_ctx(messages)
+    logger.debug("Adaptive num_ctx=%d for conv %d", num_ctx, conv_id)
 
     # Emit context event
     buf.append_event("context", {"context": context_meta})
 
-    # Wait for main model to be loaded before starting any generation.
-    # If it's already loaded (common case), this returns immediately.
-    if not model_load_task.done():
-        buf.append_event("status", {"status": "Loading model..."})
-    loaded = await model_load_task
-    if not loaded:
-        logger.warning("Model %s did not load within 180s — proceeding anyway", model)
+    # Apply thinking classifier — downgrade think=True for simple/conversational messages
+    think = _should_think(user_content, think)
 
     t_start = time.monotonic()
     timing: dict = {
+        "think": think,
+        "num_ctx": num_ctx,
         "tools": [],
+        "rounds": 0,
+        "prompt_tokens": None,
+        "output_tokens": None,
         "ttft_ms": None,
         "generation_ms": None,
         "total_ms": None,
@@ -218,7 +294,8 @@ async def run_generation(
         cancelled = False
         research_completed = False
 
-        for _round in range(MAX_TOOL_ROUNDS + 1):
+        for _round in range(MAX_TOOL_ROUNDS):
+            timing["rounds"] = _round + 1
             round_tool_calls: list[dict] = []
             logger.info("Generation round %d started for conv %d (model=%s)", _round, conv_id, model)
 
@@ -228,7 +305,7 @@ async def run_generation(
             buf.append_event("status", {"status": "Generating response..." if _round == 0 else "Composing response..."})
             t_stream = time.monotonic()
 
-            async for chunk in _stream_with_retry(messages, model, tools, think):
+            async for chunk in _stream_with_retry(messages, model, tools, think, num_ctx=num_ctx):
                 if buf.cancel_event.is_set():
                     cancelled = True
                     break
@@ -252,6 +329,12 @@ async def run_generation(
                             logger.warning("Failed periodic flush for message %d", msg_id, exc_info=True)
                         last_flush = now
 
+                elif chunk.type == "done":
+                    if chunk.prompt_tokens is not None:
+                        timing["prompt_tokens"] = (timing["prompt_tokens"] or 0) + chunk.prompt_tokens
+                    if chunk.output_tokens is not None:
+                        timing["output_tokens"] = (timing["output_tokens"] or 0) + chunk.output_tokens
+
                 elif chunk.type == "tool_calls" and chunk.tool_calls:
                     logger.info("Round %d: model returned %d tool call(s)", _round, len(chunk.tool_calls))
                     for tc in chunk.tool_calls:
@@ -409,7 +492,7 @@ async def run_generation(
 
             async def _bg_title() -> None:
                 try:
-                    title = await _generate_title(title_messages, model)
+                    title = await _generate_title(title_messages, user_id)
                     if title:
                         await update_conversation_title(user_id, conv_id, title)
                 except Exception:
@@ -446,8 +529,10 @@ async def run_assist_generation(
     On each retry the accumulated content is reset so the done event
     always reflects only the successful generation.
     """
+    from fabledassistant.services.llm import pick_num_ctx
     input_chars = sum(len(m.get("content", "")) for m in messages)
-    logger.info("Assist generation started: model=%s, input_chars=%d", model, input_chars)
+    num_ctx = pick_num_ctx(messages)
+    logger.info("Assist generation started: model=%s, input_chars=%d, num_ctx=%d", model, input_chars, num_ctx)
 
     last_exc: BaseException | None = None
     for attempt in range(3):
@@ -459,7 +544,7 @@ async def run_assist_generation(
             await asyncio.sleep(delay)
         try:
             buf.content_so_far = ""
-            async for chunk in stream_chat(messages, model, options={"num_predict": Config.OLLAMA_NUM_CTX}):
+            async for chunk in stream_chat(messages, model, options={"num_predict": num_ctx}, num_ctx=num_ctx):
                 buf.content_so_far += chunk
                 buf.append_event("chunk", {"chunk": chunk})
 

src/fabledassistant/services/intent.py

@@ -1,182 +0,0 @@
-"""Quick-capture intent classifier.
-
-Classifies short capture text (note, task, event, research) for the
-/api/quick-capture endpoint using a dedicated prompt and the primary model.
-"""
-
-import json
-import logging
-import re
-from dataclasses import dataclass, field
-from datetime import date as date_type
-
-from fabledassistant.services.llm import generate_completion
-
-logger = logging.getLogger(__name__)
-
-
-@dataclass
-class IntentResult:
-    tool_name: str | None = None  # None = no tool, just chat
-    arguments: dict = field(default_factory=dict)
-    confidence: str = "high"  # "high", "medium", or "low"
-    ack: str | None = None  # One-sentence acknowledgment to stream immediately
-
-    @property
-    def should_execute(self) -> bool:
-        """True if a tool was identified with sufficient confidence."""
-        return self.tool_name is not None and self.confidence != "low"
-
-
-def _build_tool_summary(tools: list[dict]) -> str:
-    """Build a compact tool description string from Ollama tool defs."""
-    lines: list[str] = []
-    for tool in tools:
-        fn = tool.get("function", {})
-        name = fn.get("name", "")
-        desc = fn.get("description", "")
-        params = fn.get("parameters", {}).get("properties", {})
-        required = set(fn.get("parameters", {}).get("required", []))
-
-        param_parts: list[str] = []
-        for pname, pinfo in params.items():
-            req = " (required)" if pname in required else ""
-            pdesc = pinfo.get("description", "")
-            param_parts.append(f"  - {pname}: {pdesc}{req}")
-
-        lines.append(f"- {name}: {desc}")
-        lines.extend(param_parts)
-    return "\n".join(lines)
-
-
-
-def _parse_intent(raw: str, tools: list[dict]) -> IntentResult:
-    """Parse the LLM's JSON response into an IntentResult."""
-    text = raw.strip()
-
-    # Strip markdown code fences if present
-    text = re.sub(r"^```(?:json)?\s*", "", text)
-    text = re.sub(r"\s*```$", "", text)
-    text = text.strip()
-
-    # Try direct JSON parse
-    parsed = _try_json(text)
-
-    # Fallback: extract first JSON object from response
-    if parsed is None:
-        match = re.search(r"\{.*\}", text, re.DOTALL)
-        if match:
-            parsed = _try_json(match.group())
-
-    if parsed is None or not isinstance(parsed, dict):
-        logger.warning("Could not parse intent from LLM response: %s", text[:200])
-        return IntentResult()
-
-    tool_name = parsed.get("tool")
-    confidence = parsed.get("confidence", "high")
-    if confidence not in ("high", "medium", "low"):
-        confidence = "high"
-
-    if tool_name is None:
-        return IntentResult(confidence=confidence)
-
-    # Validate tool name against available tools
-    valid_names = {
-        t.get("function", {}).get("name") for t in tools
-    }
-    if tool_name not in valid_names:
-        logger.warning("Intent returned unknown tool '%s'", tool_name)
-        return IntentResult()
-
-    arguments = parsed.get("arguments", {})
-    if not isinstance(arguments, dict):
-        arguments = {}
-
-    ack = parsed.get("ack") or None
-    if ack is not None:
-        ack = ack.strip() or None
-
-    logger.info(
-        "Intent classified: tool=%s, confidence=%s, args=%s",
-        tool_name, confidence, json.dumps(arguments)[:200],
-    )
-    return IntentResult(tool_name=tool_name, arguments=arguments, confidence=confidence, ack=ack)
-
-
-def _try_json(text: str) -> dict | list | None:
-    """Try to parse JSON, return None on failure."""
-    try:
-        return json.loads(text)
-    except (json.JSONDecodeError, TypeError):
-        return None
-
-
-# ── Quick-capture classifier ──────────────────────────────────────────────────
-# A stripped-down prompt designed for the /api/quick-capture endpoint.
-# Unlike the general intent prompt, this ALWAYS routes to a create tool —
-# null is not a valid response.
-
-_CAPTURE_SYSTEM_PROMPT = """\
-You are a quick-capture classifier. The user has sent a short snippet of text \
-from a mobile app or external client. Classify it as a note, task, or calendar \
-event, then extract the relevant fields.
-
-Today's date is {today}.
-
-Available tools:
-{tool_summary}
-
-Rules:
-- You MUST choose one of the available tools. Never return null.
-- create_task: action items, todos, reminders, things to do ("buy milk", "call John", "fix the bug", "remind me to…")
-- create_event: appointments, meetings, scheduled occurrences with a date/time ("dentist Friday 2pm", "team meeting next Tuesday")
-- update_note: updating, editing, appending to an existing note or task ("add to my shopping list: eggs", "mark buy milk done", "append to my meeting notes", "update my project note")
-- research_topic: user wants a comprehensive research note from web sources ("research X", "look up X and make a note", "find everything about X", "compile a note on X")
-- create_note: everything else — ideas, observations, links, excerpts, longer text
-- For create_task / create_event: extract a concise title; put any extra detail in "body"
-- For create_note: use a short descriptive title (≤60 chars); put the FULL original text as "body"
-- For update_note: set "query" to the note or task title to find; set other fields as needed
-- For research_topic: set "topic" to the subject being researched
-- For dates use YYYY-MM-DD; for datetime use ISO 8601
-- confidence: "high" if the type is clear; "medium" if you're guessing
-
-Respond with ONLY a JSON object:
-{{"tool": "tool_name", "arguments": {{...}}, "confidence": "high"|"medium"}}
-
-Do NOT wrap in markdown code fences."""
-
-
-async def classify_capture_intent(
-    text: str,
-    tools: list[dict],
-    model: str,
-) -> IntentResult:
-    """Classify quick-capture text and extract arguments.
-
-    Uses a simplified prompt that always routes to a create tool — never null.
-    Returns IntentResult with tool_name set.  Falls back to IntentResult() only
-    on LLM/parse failure (caller should handle that case).
-    """
-    if not tools:
-        return IntentResult()
-
-    tool_summary = _build_tool_summary(tools)
-    today = date_type.today().isoformat()
-
-    messages = [
-        {
-            "role": "system",
-            "content": _CAPTURE_SYSTEM_PROMPT.format(
-                today=today, tool_summary=tool_summary
-            ),
-        },
-        {"role": "user", "content": text},
-    ]
-
-    try:
-        raw = await generate_completion(messages, model, max_tokens=300, num_ctx=2048)
-    except Exception:
-        logger.warning("Quick-capture intent LLM call failed", exc_info=True)
-        return IntentResult()
-
-    return _parse_intent(raw, tools)

src/fabledassistant/services/knowledge.py

@@ -0,0 +1,279 @@
+"""Knowledge service — unified query across notes, people, places, and lists."""
+import logging
+
+from sqlalchemy import func, select
+
+from fabledassistant.models import async_session
+from fabledassistant.models.note import Note
+
+logger = logging.getLogger(__name__)
+
+_SNIPPET_LEN = 200
+
+
+def _note_to_item(note: Note) -> dict:
+    meta = note.entity_meta or {}
+    item: dict = {
+        "id": note.id,
+        "note_type": note.entity_type,
+        "title": note.title,
+        "snippet": (note.body or "")[:_SNIPPET_LEN],
+        "tags": note.tags or [],
+        "project_id": note.project_id,
+        "metadata": meta,
+        "created_at": note.created_at.isoformat(),
+        "updated_at": note.updated_at.isoformat(),
+    }
+    # Type-specific convenience fields
+    if note.entity_type == "person":
+        item["relationship"] = meta.get("relationship", "")
+        item["email"] = meta.get("email", "")
+        item["phone"] = meta.get("phone", "")
+    elif note.entity_type == "place":
+        item["address"] = meta.get("address", "")
+        item["phone"] = meta.get("phone", "")
+        item["hours"] = meta.get("hours", "")
+    elif note.entity_type == "list":
+        # Parse markdown task list syntax into structured items
+        body = note.body or ""
+        list_items = []
+        for line in body.split("\n"):
+            stripped = line.strip()
+            if stripped.startswith("- [ ] ") or stripped.startswith("- [x] ") or stripped.startswith("- [X] "):
+                checked_item = not stripped.startswith("- [ ] ")
+                list_items.append({"text": stripped[6:], "checked": checked_item})
+        item["list_items"] = list_items
+        item["item_count"] = len(list_items)
+        item["checked_count"] = sum(1 for i in list_items if i["checked"])
+        item["body"] = body
+    return item
+
+
+async def query_knowledge(
+    user_id: int,
+    note_type: str | None,
+    tags: list[str],
+    sort: str,
+    q: str | None,
+    limit: int,
+    offset: int,
+) -> tuple[list[dict], int]:
+    """Query knowledge objects (non-task notes) with filters.
+
+    Returns (items, total_count).
+    """
+    # Semantic search path — scores take priority over sort
+    if q:
+        return await _semantic_knowledge_search(
+            user_id, q, note_type=note_type, tags=tags, limit=limit, offset=offset
+        )
+
+    async with async_session() as session:
+        base = (
+            select(Note)
+            .where(Note.user_id == user_id)
+            .where(Note.status.is_(None))  # exclude tasks
+        )
+
+        if note_type:
+            base = base.where(Note.note_type == note_type)
+        else:
+            # Exclude tasks — already done above; also exclude any legacy nulls
+            base = base.where(Note.note_type.in_(["note", "person", "place", "list"]))
+
+        for tag in tags:
+            base = base.where(Note.tags.contains([tag]))
+
+        # Count before pagination
+        count_stmt = select(func.count()).select_from(base.subquery())
+        total: int = (await session.execute(count_stmt)).scalar_one()
+
+        # Apply sort
+        if sort == "created":
+            base = base.order_by(Note.created_at.desc())
+        elif sort == "alpha":
+            base = base.order_by(Note.title.asc())
+        elif sort == "type":
+            base = base.order_by(Note.note_type.asc(), Note.updated_at.desc())
+        else:  # modified (default)
+            base = base.order_by(Note.updated_at.desc())
+
+        rows = list((await session.execute(base.limit(limit).offset(offset))).scalars().all())
+
+    return [_note_to_item(n) for n in rows], total
+
+
+async def _semantic_knowledge_search(
+    user_id: int,
+    q: str,
+    note_type: str | None,
+    tags: list[str],
+    limit: int,
+    offset: int,
+) -> tuple[list[dict], int]:
+    """Semantic search over knowledge objects, with SQL filters applied post-rank."""
+    try:
+        from fabledassistant.services.embeddings import semantic_search_notes
+        # Fetch a larger candidate set to allow for filtering
+        candidates = await semantic_search_notes(
+            user_id=user_id,
+            query=q,
+            limit=min(200, limit * 8),
+            threshold=0.3,
+            is_task=False,
+        )
+    except Exception:
+        logger.warning("Semantic search unavailable, falling back to SQL", exc_info=True)
+        return await query_knowledge(user_id, note_type, tags, "modified", None, limit, offset)
+
+    results = []
+    for _score, note in candidates:
+        if note_type and note.entity_type != note_type:
+            continue
+        if tags and not all(t in (note.tags or []) for t in tags):
+            continue
+        results.append(note)
+
+    total = len(results)
+    page_items = results[offset: offset + limit]
+    return [_note_to_item(n) for n in page_items], total
+
+
+async def get_knowledge_tags(user_id: int, note_type: str | None = None) -> list[str]:
+    """Return all distinct tags used across knowledge objects for this user."""
+    async with async_session() as session:
+        base = (
+            select(func.unnest(Note.tags).label("tag"))
+            .where(Note.user_id == user_id)
+            .where(Note.status.is_(None))
+        )
+        if note_type:
+            base = base.where(Note.note_type == note_type)
+        else:
+            base = base.where(Note.note_type.in_(["note", "person", "place", "list"]))
+        stmt = base.distinct().order_by("tag")
+        rows = list((await session.execute(stmt)).scalars().all())
+    return [r for r in rows if r]
+
+
+async def get_knowledge_counts(user_id: int, tags: list[str] | None = None) -> dict[str, int]:
+    """Return per-type count of knowledge objects for the sidebar display."""
+    async with async_session() as session:
+        stmt = (
+            select(Note.note_type, func.count(Note.id))
+            .where(Note.user_id == user_id)
+            .where(Note.status.is_(None))
+            .where(Note.note_type.in_(["note", "person", "place", "list"]))
+            .group_by(Note.note_type)
+        )
+        if tags:
+            for tag in tags:
+                stmt = stmt.where(Note.tags.contains([tag]))
+        rows = list((await session.execute(stmt)).all())
+    counts = {row[0]: row[1] for row in rows}
+    # Ensure all types present even if zero
+    for t in ("note", "person", "place", "list"):
+        counts.setdefault(t, 0)
+    counts["total"] = sum(counts[t] for t in ("note", "person", "place", "list"))
+    return counts
+
+
+async def query_knowledge_ids(
+    user_id: int,
+    note_type: str | None,
+    tags: list[str],
+    sort: str,
+    q: str | None,
+    limit: int = 100,
+    offset: int = 0,
+) -> tuple[list[int], int]:
+    """Return note IDs only — cheap query for the two-tier pagination feed."""
+    if q:
+        # Re-use semantic search, extract IDs in rank order
+        items, total = await _semantic_knowledge_search(
+            user_id, q, note_type=note_type, tags=tags,
+            limit=limit, offset=offset,
+        )
+        return [item["id"] for item in items], total
+
+    async with async_session() as session:
+        base = (
+            select(Note.id)
+            .where(Note.user_id == user_id)
+            .where(Note.status.is_(None))
+        )
+        if note_type:
+            base = base.where(Note.note_type == note_type)
+        else:
+            base = base.where(Note.note_type.in_(["note", "person", "place", "list"]))
+        for tag in tags:
+            base = base.where(Note.tags.contains([tag]))
+
+        count_stmt = select(func.count()).select_from(base.subquery())
+        total: int = (await session.execute(count_stmt)).scalar_one()
+
+        if sort == "created":
+            base = base.order_by(Note.created_at.desc())
+        elif sort == "alpha":
+            base = base.order_by(Note.title.asc())
+        elif sort == "type":
+            base = base.order_by(Note.note_type.asc(), Note.updated_at.desc())
+        else:
+            base = base.order_by(Note.updated_at.desc())
+
+        ids = list((await session.execute(base.limit(limit).offset(offset))).scalars().all())
+
+    return ids, total
+
+
+async def get_knowledge_by_ids(user_id: int, ids: list[int]) -> list[dict]:
+    """Fetch full items for the given IDs, preserving the requested order."""
+    if not ids:
+        return []
+    async with async_session() as session:
+        stmt = (
+            select(Note)
+            .where(Note.user_id == user_id)
+            .where(Note.id.in_(ids))
+        )
+        rows = list((await session.execute(stmt)).scalars().all())
+    by_id = {n.id: n for n in rows}
+    return [_note_to_item(by_id[i]) for i in ids if i in by_id]
+
+
+async def get_people_and_places_context(user_id: int) -> str:
+    """Return a compact summary of known people and places for LLM system prompt injection."""
+    async with async_session() as session:
+        stmt = (
+            select(Note)
+            .where(Note.user_id == user_id)
+            .where(Note.note_type.in_(["person", "place"]))
+            .where(Note.status.is_(None))
+            .order_by(Note.title.asc())
+            .limit(50)
+        )
+        rows = list((await session.execute(stmt)).scalars().all())
+
+    if not rows:
+        return ""
+
+    people = [n for n in rows if n.entity_type == "person"]
+    places = [n for n in rows if n.entity_type == "place"]
+
+    lines = []
+    if people:
+        parts = []
+        for p in people:
+            meta = p.entity_meta or {}
+            rel = meta.get("relationship", "")
+            parts.append(f"{p.title}" + (f" ({rel})" if rel else ""))
+        lines.append("Known people: " + ", ".join(parts))
+    if places:
+        parts = []
+        for p in places:
+            meta = p.entity_meta or {}
+            addr = meta.get("address", "")
+            parts.append(f"{p.title}" + (f" – {addr}" if addr else ""))
+        lines.append("Known places: " + "; ".join(parts))
+
+    return "\n".join(lines)

src/fabledassistant/services/llm.py

@@ -19,6 +19,28 @@ from fabledassistant.services.settings import get_setting
 
 logger = logging.getLogger(__name__)
 
+# Context window tiers. The smallest tier that fits the current input is used
+# so Ollama allocates a smaller KV cache, reducing prefill time and VRAM usage.
+# Requests using the same tier hit Ollama's prefix cache; a tier upgrade causes
+# a one-time model reload but then the larger cache stays warm.
+_CTX_TIERS = (8192, 16384, 32768)
+
+
+def pick_num_ctx(messages: list[dict]) -> int:
+    """Return the smallest context tier that fits *messages* with 25% headroom.
+
+    Stays at or below Config.OLLAMA_NUM_CTX (the configured ceiling).
+    """
+    total_chars = sum(len(m.get("content") or "") for m in messages)
+    estimated_tokens = int(total_chars / 3.5)
+    needed = int(estimated_tokens * 1.25) + 256  # 25% headroom + output buffer
+    cap = Config.OLLAMA_NUM_CTX
+    for tier in _CTX_TIERS:
+        if tier >= needed and tier <= cap:
+            return tier
+    return cap
+
+
 STOP_WORDS = frozenset({
     "a", "an", "the", "is", "it", "to", "in", "for", "of", "and", "or",
     "on", "at", "by", "with", "from", "as", "be", "was", "were", "been",
@@ -112,6 +134,7 @@ async def stream_chat(
     model: str,
     options: dict | None = None,
     think: bool = False,
+    num_ctx: int | None = None,
 ) -> AsyncGenerator[str, None]:
     """Stream chat completion from Ollama, yielding content chunks.
 
@@ -119,10 +142,10 @@ async def stream_chat(
     Thinking tokens are silently discarded anyway, but disabling avoids the
     multi-minute delay before the first content token arrives.
     """
-    merged_options = {"num_ctx": Config.OLLAMA_NUM_CTX}
+    merged_options = {"num_ctx": num_ctx or Config.OLLAMA_NUM_CTX}
     if options:
         merged_options.update(options)
-    payload: dict = {"model": model, "messages": messages, "stream": True, "options": merged_options, "think": think}
+    payload: dict = {"model": model, "messages": messages, "stream": True, "options": merged_options, "think": think, "keep_alive": "2h"}
     # read=None: no per-chunk timeout — Ollama may pause for any duration while
     # processing a large input context before the first token arrives.
     async with httpx.AsyncClient(timeout=httpx.Timeout(connect=30.0, read=None, write=None, pool=30.0)) as client:
@@ -149,6 +172,9 @@ class ChatChunk:
     type: Literal["content", "thinking", "tool_calls", "done"]
     content: str = ""
     tool_calls: list[dict] | None = None
+    # Token counts from the Ollama done event (only set on type="done")
+    prompt_tokens: int | None = None
+    output_tokens: int | None = None
 
 
 async def stream_chat_with_tools(
@@ -156,6 +182,7 @@ async def stream_chat_with_tools(
     model: str,
     tools: list[dict] | None = None,
     think: bool = False,
+    num_ctx: int | None = None,
 ) -> AsyncGenerator[ChatChunk, None]:
     """Stream chat completion from Ollama with tool support.
 
@@ -167,7 +194,8 @@ async def stream_chat_with_tools(
     Thinking tokens are consumed by Ollama and not forwarded to the caller;
     only the final response content is yielded. Expect higher TTFT when enabled.
     """
-    options: dict = {"num_ctx": Config.OLLAMA_NUM_CTX}
+    resolved_ctx = num_ctx or Config.OLLAMA_NUM_CTX
+    options: dict = {"num_ctx": resolved_ctx}
     if tools:
         options["num_predict"] = 8192
     payload: dict = {
@@ -176,6 +204,7 @@ async def stream_chat_with_tools(
         "stream": True,
         "options": options,
         "think": think,
+        "keep_alive": "2h",
     }
     if tools:
         payload["tools"] = tools
@@ -220,7 +249,11 @@ async def stream_chat_with_tools(
                         yield ChatChunk(type="tool_calls", tool_calls=accumulated_tool_calls)
                     else:
                         logger.debug("Ollama done with no tool calls")
-                    yield ChatChunk(type="done")
+                    yield ChatChunk(
+                        type="done",
+                        prompt_tokens=data.get("prompt_eval_count"),
+                        output_tokens=data.get("eval_count"),
+                    )
                     break
 
 
@@ -256,6 +289,7 @@ async def generate_completion(
                         "stream": False,
                         "think": False,
                         "options": options,
+                        "keep_alive": "2h",
                     },
                 )
                 resp.raise_for_status()
@@ -454,6 +488,8 @@ async def build_context(
     workspace_project_id: int | None = None,
     user_timezone: str | None = None,
     conv_id: int | None = None,
+    voice_mode: bool = False,
+    voice_speech_style: str = "conversational",
 ) -> tuple[list[dict], dict]:
     """Build messages array for Ollama with system prompt and context.
 
@@ -467,6 +503,10 @@ async def build_context(
     has_caldav = await is_caldav_configured(user_id)
 
     # Build tool usage guidance based on available integrations
+    # --- Static block (Ollama KV-cache prefix) ---
+    # Everything here must be byte-for-byte identical across requests for the same
+    # user so Ollama can reuse the cached KV state. No dates, timezones, RAG notes,
+    # or user-profile data here — those go in the dynamic tail below.
     tool_lines = [
         "You have access to tool functions. You MUST use them when the user asks you to create, add, find, schedule, or search for anything.",
         "CRITICAL: Call the tool functions directly. NEVER write out function calls as text or code. NEVER describe what you would do — just do it.",
@@ -478,14 +518,13 @@ async def build_context(
             "create_event, list_events, search_events, update_event, delete_event, list_calendars."
         )
         tool_lines.append(
-            "For calendar events, use ISO 8601 datetime format with the user's timezone offset"
-            + (f" ({user_timezone})" if user_timezone else "")
-            + ". Always include the UTC offset in datetime strings (e.g. 2026-09-30T14:00:00+01:00)."
+            "For calendar events, use ISO 8601 datetime format with the user's timezone offset (stated in context below). "
+            "Always include the UTC offset in datetime strings (e.g. 2026-09-30T14:00:00+01:00)."
         )
         tool_lines.append("When the user says 'remind me' with a time before an event, use the reminder_minutes parameter.")
     tool_lines.append(
         "For relative dates like 'Friday' or 'next week', resolve them to YYYY-MM-DD format. "
-        + (f"Always include the UTC offset when creating events (user's timezone: {user_timezone})." if user_timezone else "For event datetimes, include the UTC offset (e.g. 2026-09-30T14:00:00+01:00).")
+        "Always include the UTC offset when creating events (user's timezone is stated in context below)."
     )
     tool_lines.append("When creating notes, use the `tags` parameter — do not embed #tag text in the note body.")
     tool_lines.append(
@@ -494,27 +533,79 @@ async def build_context(
         "next line. Never describe images as text or list their URLs — always render them as markdown images."
     )
     tool_lines.append(
-        "Use update_note to edit/expand an existing note OR to update a task's status/priority/due_date. "
-        "Use create_note ONLY for genuinely new notes with a different title. "
-        "Use list_tasks to find tasks by status, priority, or due date (e.g. overdue, high priority, in progress). "
-        "If a note was created earlier in the conversation and the user provides more content for it, use update_note. "
-        "Use get_note to read the full content of a specific note. "
-        "Use list_notes to browse notes by recency or tag. "
-        "Use search_notes for conceptual/semantic queries — e.g. 'what notes do I have about X' or "
-        "'find notes related to Y' — it uses semantic understanding to find thematically related content "
-        "even when exact words don't match. Pass project= to scope the search to a specific project. "
-        "Use delete_note / delete_task only when explicitly asked to delete — these require confirmation."
+        "Use update_note for existing notes/tasks; use create_note only for new content. "
+        "Use search_notes for semantic/conceptual queries. "
+        "Delete tools require an explicit user request. "
+        "Never proactively search notes or comment on absent context."
     )
     tool_guidance = "\n".join(tool_lines)
 
-    tz_line = f" The user's timezone is {user_timezone}." if user_timezone else ""
-    system_parts = [
+    static_block = (
         f"You are a helpful assistant named {assistant_name}, integrated into a note-taking and task-tracking app called Fabled Assistant. "
         "Help users with their notes, tasks, and general questions. "
-        "When note context is provided, use it to give relevant answers. "
-        f"Today's date is {today}.{tz_line}\n\n"
+        "When note context is provided, use it to give relevant answers.\n\n"
         f"{tool_guidance}"
-    ]
+    )
+
+    # --- Dynamic tail (appended after static block, evaluated every request) ---
+    # Date, timezone, user profile, and entities change per-day or per-user.
+    # Keeping these at the end preserves the static prefix for KV-cache reuse.
+    tz_line = f" The user's timezone is {user_timezone}." if user_timezone else ""
+
+    from fabledassistant.services.user_profile import build_profile_context
+    from fabledassistant.services.knowledge import get_people_and_places_context
+    profile_context = await build_profile_context(user_id)
+    profile_section = f"\n\n{profile_context}" if profile_context else ""
+    entities_context = await get_people_and_places_context(user_id)
+    entities_section = f"\n\n{entities_context}" if entities_context else ""
+
+    dynamic_tail = f"\n\nToday's date is {today}.{tz_line}{profile_section}{entities_section}"
+
+    # --- System message: stable content only ---
+    # Workspace context and history summary stay here because they carry
+    # behavioural instructions / conversational state, not retrieved content.
+    # Everything retrieval-based (RAG notes, RSS, URL content, current note,
+    # briefing articles) goes into the user turn below so the system message
+    # prefix stays byte-for-byte identical across requests, enabling Ollama's
+    # KV prefix cache to fire reliably.
+
+    if voice_mode:
+        _style_hints = {
+            "conversational": "Be warm, natural, and conversational — like speaking to a friend.",
+            "concise": "Be brief and to the point. One or two sentences maximum unless detail is essential.",
+            "detailed": "Give thorough, informative responses as if narrating an explanation aloud.",
+        }
+        style_hint = _style_hints.get(voice_speech_style, _style_hints["conversational"])
+        voice_preamble = (
+            "VOICE MODE: Respond naturally as if speaking aloud. "
+            "No markdown, bullet points, headers, or code blocks. Complete sentences only. "
+            f"{style_hint}\n\n"
+        )
+        system_content = voice_preamble + static_block + dynamic_tail
+    else:
+        system_content = static_block + dynamic_tail
+
+    # Inject workspace context (behavioural — must stay in system)
+    if workspace_project_id is not None:
+        from fabledassistant.services.projects import get_project
+        try:
+            wp = await get_project(user_id, workspace_project_id)
+            if wp:
+                system_content += (
+                    f"\n\n--- Active Workspace ---\n"
+                    f"You are in the \"{wp.title}\" project workspace.\n"
+                    f"All notes and tasks you create or update MUST belong to this project.\n"
+                    f"Always pass project=\"{wp.title}\" when calling create_note or create_task.\n"
+                    f"--- End Active Workspace ---"
+                )
+        except Exception:
+            logger.warning("Failed to fetch workspace project %d", workspace_project_id)
+
+    # Inject compressed history summary (conversational state — stays in system)
+    if history_summary:
+        system_content += (
+            f"\n\n--- Earlier Conversation ---\n{history_summary}\n--- End Earlier Conversation ---"
+        )
 
     context_meta: dict = {
         "context_note_id": None,
@@ -523,35 +614,34 @@ async def build_context(
         "auto_injected_notes": [],
     }
 
-    # Include current note context if provided — full body, no truncation
+    # --- User turn context prefix: retrieval-based content ---
+    # Collected here and prepended to the user message so the system message
+    # stays stable and the KV prefix cache can fire on every request.
+    user_context_parts: list[str] = []
+
+    # Current note being viewed (full body, no truncation)
     if current_note_id:
         note = await get_note(user_id, current_note_id)
         if note:
             context_meta["context_note_id"] = note.id
             context_meta["context_note_title"] = note.title
-            system_parts.append(
-                f"\n\n--- Current Note ---\n"
+            user_context_parts.append(
+                f"--- Current Note ---\n"
                 f"Title: {note.title}\n"
                 f"Content:\n{note.body}\n"
                 f"--- End Note ---"
             )
 
-    # Search for related notes. High-confidence results (>=0.60) are auto-injected
-    # into the system prompt; lower-confidence results populate the sidebar only.
-    # Users can also explicitly include notes via the sidebar (include_note_ids).
+    # Semantic / keyword note search
     search_exclude = set(exclude_set)
     if current_note_id:
         search_exclude.add(current_note_id)
 
-    # (score, note) pairs — score is float for semantic results, None for keyword fallback.
     found_scored: list[tuple[float | None, object]] = []
 
-    # Derive scope flags from rag_project_id three-value semantics:
-    # None → orphan notes only; -1 → all notes; positive int → that project
     orphan_only = rag_project_id is None
     effective_project_id = rag_project_id if (rag_project_id is not None and rag_project_id != -1) else None
 
-    # Try semantic search first; fall back to keyword search on failure / no results.
     try:
         from fabledassistant.services.embeddings import semantic_search_notes
         for score, note in await semantic_search_notes(
@@ -576,7 +666,6 @@ async def build_context(
             except Exception:
                 logger.warning("Failed to search notes for context", exc_info=True)
 
-    # Separate high-confidence results for auto-injection vs sidebar display
     excluded_inject_set = set(excluded_note_ids or [])
     auto_inject: list[tuple[float, object]] = []
     sidebar_only: list[tuple[float | None, object]] = []
@@ -592,7 +681,6 @@ async def build_context(
         else:
             sidebar_only.append((score, n))
 
-    # Inject high-scoring notes into system prompt
     if auto_inject:
         snippets = []
         for score, n in auto_inject:
@@ -603,14 +691,12 @@ async def build_context(
                 "title": n.title,
                 "score": round(score, 2),
             })
-        system_parts.append(
-            "\n\n--- Relevant Notes ---\n"
+        user_context_parts.append(
+            "--- Relevant Notes ---\n"
             + "\n\n".join(snippets)
             + "\n--- End Relevant Notes ---"
         )
 
-    # Populate sidebar candidates (auto-injected notes also appear here for reference,
-    # but sidebar_only are the ones not yet in the prompt)
     for score, n in auto_inject:
         context_meta["auto_notes"].append({
             "id": n.id,
@@ -627,7 +713,7 @@ async def build_context(
         })
     context_meta["auto_note_ids"] = [n.id for _, n in found_scored]
 
-    # Inject explicitly included notes (user opted in via sidebar click).
+    # Explicitly included notes (user opted in via sidebar)
     if include_note_ids:
         from fabledassistant.services.notes import get_note as _get_note
         included_snippets: list[str] = []
@@ -640,44 +726,49 @@ async def build_context(
             except Exception:
                 logger.warning("Failed to load included note %d for context", nid, exc_info=True)
         if included_snippets:
-            system_parts.append(
-                "\n\n--- Included Notes ---\n"
+            user_context_parts.append(
+                "--- Included Notes ---\n"
                 + "\n".join(included_snippets)
                 + "\n--- End Included Notes ---"
             )
 
-    # Fetch URL content from user message
+    # Semantically relevant RSS news items
+    try:
+        from fabledassistant.services.embeddings import get_embedding, semantic_search_rss_items
+        news_query_vec = await get_embedding(user_message)
+        news_hits = await semantic_search_rss_items(user_id, news_query_vec)
+        if news_hits:
+            news_snippets = []
+            for score, rss_item in news_hits:
+                feed_title = getattr(rss_item, "feed_title", "") or ""
+                excerpt = (rss_item.content or "")[:500].strip()
+                news_snippets.append(
+                    f"[{feed_title or 'News'}] {rss_item.title} (relevance: {round(score * 100)}%)\n"
+                    + (f"{excerpt}\n" if excerpt else "")
+                    + f"URL: {rss_item.url}"
+                )
+            user_context_parts.append(
+                "--- Recent News You've Seen ---\n"
+                + "\n\n".join(news_snippets)
+                + "\n--- End Recent News ---"
+            )
+            context_meta["rss_news"] = [
+                {"id": item.id, "title": item.title, "score": round(score, 2)}
+                for score, item in news_hits
+            ]
+    except Exception:
+        logger.debug("RSS semantic search skipped", exc_info=True)
+
+    # URL content fetched from links in the user message
     urls = _find_urls(user_message)
-    for url in urls[:2]:  # Limit to 2 URLs
+    for url in urls[:2]:
         content = await fetch_url_content(url)
         if content and not content.startswith("[Failed"):
-            system_parts.append(
-                f"\n\n--- Content from {url} ---\n{content}\n--- End URL Content ---"
+            user_context_parts.append(
+                f"--- Content from {url} ---\n{content}\n--- End URL Content ---"
             )
 
-    # Inject workspace context when user is in a project workspace
-    if workspace_project_id is not None:
-        from fabledassistant.services.projects import get_project
-        try:
-            wp = await get_project(user_id, workspace_project_id)
-            if wp:
-                system_parts.append(
-                    f"\n\n--- Active Workspace ---\n"
-                    f"You are in the \"{wp.title}\" project workspace.\n"
-                    f"All notes and tasks you create or update MUST belong to this project.\n"
-                    f"Always pass project=\"{wp.title}\" when calling create_note or create_task.\n"
-                    f"--- End Active Workspace ---"
-                )
-        except Exception:
-            logger.warning("Failed to fetch workspace project %d", workspace_project_id)
-
-    # Inject compressed summary of older exchanges when history has been trimmed
-    if history_summary:
-        system_parts.append(
-            f"\n\n--- Earlier Conversation ---\n{history_summary}\n--- End Earlier Conversation ---"
-        )
-
-    # Inject briefing article content for follow-up Q&A
+    # Briefing article context for follow-up Q&A
     if conv_id is not None:
         from fabledassistant.models import async_session as _async_session
         from fabledassistant.models.conversation import Conversation
@@ -687,11 +778,17 @@ async def build_context(
         if _conv and getattr(_conv, "conversation_type", None) == "briefing":
             article_context = await _build_briefing_article_context(conv_id)
             if article_context:
-                system_parts.append(article_context)
+                user_context_parts.append(article_context.strip())
 
-    messages = [{"role": "system", "content": "".join(system_parts)}]
+    # Build final user message — context prefix (if any) followed by the actual message
+    if user_context_parts:
+        user_turn = "\n\n".join(user_context_parts) + "\n\n" + user_message
+    else:
+        user_turn = user_message
+
+    messages = [{"role": "system", "content": system_content}]
     messages.extend(history)
-    messages.append({"role": "user", "content": user_message})
+    messages.append({"role": "user", "content": user_turn})
     return messages, context_meta
 
 

src/fabledassistant/services/logging.py

@@ -68,12 +68,12 @@ async def log_generation(
     """Persist per-generation timing breakdown to app_logs for benchmarking."""
     async with async_session() as session:
         log = AppLog(
-            category="usage",
+            category="generation",
             user_id=user_id,
             action="generation",
             endpoint=f"/chat/conversations/{conv_id}",
             duration_ms=timing.get("total_ms"),
-            details=json.dumps({"model": model, **timing}),
+            details=json.dumps({"model": model, "conv_id": conv_id, **timing}),
         )
         session.add(log)
         await session.commit()

src/fabledassistant/services/milestones.py

@@ -42,6 +42,19 @@ async def get_milestone(user_id: int, milestone_id: int) -> Milestone | None:
         return result.scalars().first()
 
 
+async def get_milestone_in_project(project_id: int, milestone_id: int) -> Milestone | None:
+    """Fetch a milestone by id within a project, without a user_id ownership check.
+    Callers must verify project access separately before using this."""
+    async with async_session() as session:
+        result = await session.execute(
+            select(Milestone).where(
+                Milestone.id == milestone_id,
+                Milestone.project_id == project_id,
+            )
+        )
+        return result.scalars().first()
+
+
 async def get_milestone_by_title(user_id: int, project_id: int, title: str) -> Milestone | None:
     async with async_session() as session:
         result = await session.execute(

src/fabledassistant/services/notes.py

@@ -57,6 +57,8 @@ async def create_note(
     priority: str | None = None,
     due_date: date | None = None,
     recurrence_rule: dict | None = None,
+    note_type: str = "note",
+    entity_meta: dict | None = None,
 ) -> Note:
     # Auto-populate project_id from milestone when not explicitly provided
     if milestone_id is not None and project_id is None:
@@ -82,6 +84,8 @@ async def create_note(
             priority=priority,
             due_date=due_date,
             recurrence_rule=recurrence_rule,
+            note_type=note_type,
+            entity_meta=entity_meta,
         )
         session.add(note)
         await session.commit()
@@ -184,6 +188,7 @@ async def list_notes(
 
         if parent_id is not None:
             query = query.where(Note.parent_id == parent_id)
+            count_query = count_query.where(Note.parent_id == parent_id)
 
         if no_project:
             query = query.where(Note.project_id.is_(None))
@@ -238,9 +243,15 @@ async def update_note(user_id: int, note_id: int, **fields: object) -> Note | No
             if not hasattr(note, key):
                 continue
             if key == "status" and isinstance(value, str):
-                value = TaskStatus(value).value
+                try:
+                    value = TaskStatus(value).value
+                except ValueError:
+                    raise ValueError(f"Invalid status: {value!r}. Must be one of: {[s.value for s in TaskStatus]}")
             elif key == "priority" and isinstance(value, str):
-                value = TaskPriority(value).value
+                try:
+                    value = TaskPriority(value).value
+                except ValueError:
+                    raise ValueError(f"Invalid priority: {value!r}. Must be one of: {[p.value for p in TaskPriority]}")
             elif key == "tags" and isinstance(value, list):
                 value = _normalize_tags(value)
             setattr(note, key, value)

src/fabledassistant/services/projects.py

@@ -121,8 +121,10 @@ async def generate_project_summary(user_id: int, project_id: int) -> None:
 
         from fabledassistant.services.llm import generate_completion
         from fabledassistant.config import Config
+        from fabledassistant.services.settings import get_setting
         messages = [{"role": "user", "content": prompt}]
-        summary = await generate_completion(messages, model=Config.OLLAMA_MODEL, max_tokens=400)
+        bg_model = await get_setting(user_id, "background_model", Config.OLLAMA_BACKGROUND_MODEL)
+        summary = await generate_completion(messages, model=bg_model, max_tokens=400)
         if not summary:
             return
 

src/fabledassistant/services/rss.py

@@ -5,6 +5,8 @@ import logging
 from datetime import datetime, timezone
 
 import feedparser
+import html2text
+import httpx
 from sqlalchemy import select, text
 
 from fabledassistant.models import async_session
@@ -12,10 +14,60 @@ from fabledassistant.models.rss_feed import RssFeed, RssItem
 
 logger = logging.getLogger(__name__)
 
-CONTENT_MAX_CHARS = 2000
 # Keep only items from the last N days to avoid unbounded growth
 ITEM_MAX_AGE_DAYS = 90
 
+_h2t = html2text.HTML2Text()
+_h2t.ignore_links = True
+_h2t.ignore_images = True
+_h2t.ignore_emphasis = False
+_h2t.body_width = 0  # No line-wrapping
+
+
+def _html_to_text(html: str) -> str:
+    """Convert HTML to clean plain text via html2text."""
+    if not html or "<" not in html:
+        return html
+    try:
+        return _h2t.handle(html).strip()
+    except Exception:
+        return html
+
+
+async def _fetch_full_article(url: str) -> str | None:
+    """Fetch a URL and extract its main article text via trafilatura.
+
+    Returns clean plain text, or None if extraction fails or yields nothing useful.
+    Runs trafilatura in a thread executor since it does synchronous HTML parsing.
+    """
+    try:
+        async with httpx.AsyncClient(timeout=15.0, follow_redirects=True, headers={
+            "User-Agent": "Mozilla/5.0 (compatible; FabledAssistant/1.0; +https://fabledsword.com)",
+        }) as client:
+            resp = await client.get(url)
+            resp.raise_for_status()
+            raw_html = resp.text
+    except Exception:
+        logger.debug("Failed to fetch article URL %s", url)
+        return None
+
+    loop = asyncio.get_event_loop()
+    try:
+        import trafilatura
+        text = await loop.run_in_executor(
+            None,
+            lambda: trafilatura.extract(
+                raw_html,
+                include_comments=False,
+                include_tables=True,
+                favor_recall=True,
+            ),
+        )
+        return text or None
+    except Exception:
+        logger.debug("trafilatura extraction failed for %s", url, exc_info=True)
+        return None
+
 
 def extract_item(entry) -> dict:
     """Extract a clean item dict from a feedparser entry object."""
@@ -26,7 +78,7 @@ def extract_item(entry) -> dict:
         content = raw_content[0].value
     else:
         content = entry.get("summary", "")
-    content = content[:CONTENT_MAX_CHARS]
+    content = _html_to_text(content)
 
     pub = None
     if entry.published_parsed:
@@ -112,14 +164,18 @@ async def fetch_and_cache_feed(feed_id: int, url: str) -> int:
         # only writes to items it successfully classifies, so already-classified items
         # are not re-processed (they have classified_at set).
         unclassified_ids: list[int] = []
+        new_item_data: list[tuple[int, str, str]] = []  # (id, title, content) for embedding
         if new_count > 0:
             result = await session.execute(
-                select(RssItem.id).where(
+                select(RssItem.id, RssItem.title, RssItem.content, RssItem.classified_at).where(
                     RssItem.feed_id == feed_id,
-                    RssItem.classified_at.is_(None),
                 )
             )
-            unclassified_ids = list(result.scalars().all())
+            for row in result.fetchall():
+                item_id, title, content, classified_at = row
+                if classified_at is None:
+                    unclassified_ids.append(item_id)
+                new_item_data.append((item_id, title or "", content or ""))
 
     # Prune old items to keep DB tidy
     await _prune_old_items(feed_id)
@@ -129,6 +185,56 @@ async def fetch_and_cache_feed(feed_id: int, url: str) -> int:
         from fabledassistant.services.rss_classifier import classify_and_store
         asyncio.create_task(classify_and_store(unclassified_ids, feed_user_id))
 
+    # Collect (id, url) for newly inserted items to enrich with full article text
+    new_items_for_enrichment: list[tuple[int, str]] = []
+    if new_count > 0:
+        async with async_session() as session:
+            result = await session.execute(
+                select(RssItem.id, RssItem.url).where(
+                    RssItem.feed_id == feed_id,
+                    RssItem.url != "",
+                ).order_by(RssItem.fetched_at.desc()).limit(new_count)
+            )
+            new_items_for_enrichment = list(result.fetchall())
+
+    # Fire-and-forget: fetch full article text, then re-embed with richer content
+    if new_items_for_enrichment and feed_user_id is not None:
+        from fabledassistant.services.embeddings import upsert_rss_item_embedding
+
+        async def _enrich_and_embed() -> None:
+            for item_id, article_url in new_items_for_enrichment:
+                full_text = await _fetch_full_article(article_url)
+                if full_text and len(full_text) > 200:
+                    async with async_session() as session:
+                        item = await session.get(RssItem, item_id)
+                        if item:
+                            item.content = full_text
+                            await session.commit()
+                            await upsert_rss_item_embedding(
+                                item_id, feed_user_id, item.title or "", item.content
+                            )
+                else:
+                    # Enrich failed — still embed with RSS-provided content
+                    async with async_session() as session:
+                        item = await session.get(RssItem, item_id)
+                    if item:
+                        await upsert_rss_item_embedding(
+                            item_id, feed_user_id, item.title or "", item.content or ""
+                        )
+                await asyncio.sleep(0.5)  # Polite pacing between article fetches
+
+        asyncio.create_task(_enrich_and_embed())
+    elif new_item_data and feed_user_id is not None:
+        # No URLs to enrich — embed with RSS content only
+        from fabledassistant.services.embeddings import upsert_rss_item_embedding
+
+        async def _embed_only() -> None:
+            for item_id, title, content in new_item_data:
+                await upsert_rss_item_embedding(item_id, feed_user_id, title, content)
+                await asyncio.sleep(0.05)
+
+        asyncio.create_task(_embed_only())
+
     return new_count
 
 

src/fabledassistant/services/rss_classifier.py

@@ -7,6 +7,7 @@ Called from rss.py after new items are stored — fire-and-forget.
 
 import json
 import logging
+import re
 from datetime import datetime, timezone
 
 import httpx
@@ -37,7 +38,7 @@ async def _llm_classify(prompt: str, model: str) -> str:
         "stream": False,
         "options": {"num_ctx": 2048, "temperature": 0.0},
     }
-    async with httpx.AsyncClient(timeout=30.0) as client:
+    async with httpx.AsyncClient(timeout=120.0) as client:
         resp = await client.post(f"{Config.OLLAMA_URL}/api/chat", json=payload)
         resp.raise_for_status()
         return resp.json().get("message", {}).get("content", "")
@@ -64,7 +65,7 @@ async def classify_items_batch(
         return {}
 
     if model is None:
-        model = Config.OLLAMA_MODEL
+        model = Config.OLLAMA_BACKGROUND_MODEL
 
     vocab = STANDARD_TOPICS + [t for t in user_include_topics if t not in STANDARD_TOPICS]
     items_block = "\n".join(
@@ -75,13 +76,17 @@ async def classify_items_batch(
 
     try:
         raw = await _llm_classify(prompt, model)
+        # Strip <think>...</think> blocks emitted by reasoning models (e.g. qwen3)
+        raw = re.sub(r"<think>.*?</think>", "", raw, flags=re.DOTALL)
         # Extract JSON from response (LLM may wrap it in markdown)
         raw = raw.strip()
         if raw.startswith("```"):
             raw = raw.split("```")[1]
             if raw.startswith("json"):
                 raw = raw[4:]
-        parsed = json.loads(raw)
+        raw = raw.strip()
+        # Allow control characters that may appear in LLM-generated JSON strings
+        parsed = json.loads(raw, strict=False)
         return {int(k): v for k, v in parsed.items() if isinstance(v, list)}
     except Exception:
         logger.warning("RSS classification failed", exc_info=True)
@@ -122,7 +127,7 @@ async def classify_and_store(
     except Exception:
         include_topics = []
 
-    model = await get_setting(user_id, "default_model", Config.OLLAMA_MODEL)
+    model = await get_setting(user_id, "background_model", Config.OLLAMA_BACKGROUND_MODEL)
 
     # Classify in batches of 10
     batch_size = 10