Merge pull request #5 from evandrodevbr:develop

remove: delete the document "Estabilizar Scraper Rust (Browser Resurrection, Send e Retry)" as it is no longer needed for the project. This document contained analysis, context, and implementation plans for improving the scraper's resilience and functionality.

.github/workflows/release.yml

@@ -0,0 +1,185 @@
+name: Build and Release
+
+on:
+  push:
+    branches:
+      - main
+      - master
+  workflow_dispatch:
+
+env:
+  TAURI_VERSION: "2.9.4"
+
+jobs:
+  build:
+    permissions:
+      contents: write
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - platform: 'windows-latest'
+            target: 'x86_64-pc-windows-msvc'
+            bundle: 'msi'
+          - platform: 'macos-latest'
+            target: 'aarch64-apple-darwin'
+            bundle: 'dmg'
+          - platform: 'macos-latest'
+            target: 'x86_64-apple-darwin'
+            bundle: 'dmg'
+          - platform: 'ubuntu-latest'
+            target: 'x86_64-unknown-linux-gnu'
+            bundle: 'appimage'
+
+    runs-on: ${{ matrix.platform }}
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+          cache: 'pnpm'
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 8
+
+      - name: Install Rust
+        uses: dtolnay/rust-toolchain@stable
+        with:
+          toolchain: stable
+          targets: ${{ matrix.target }}
+
+      - name: Install dependencies (Ubuntu only)
+        if: matrix.platform == 'ubuntu-latest'
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y libwebkit2gtk-4.1-dev libssl-dev libayatana-appindicator3-dev librsvg2-dev patchelf
+
+      - name: Install frontend dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Generate changelog
+        run: pnpm generate-changelog
+
+      - name: Build Tauri app
+        run: |
+          cd src-tauri
+          cargo build --release --target ${{ matrix.target }}
+
+      - name: Build Tauri bundle
+        env:
+          TAURI_PRIVATE_KEY: ${{ secrets.TAURI_UPDATER_PRIVATE_KEY }}
+        run: |
+          cd src-tauri
+          if [ -n "$TAURI_PRIVATE_KEY" ]; then
+            echo "$TAURI_PRIVATE_KEY" > /tmp/private.key
+            cargo tauri build --target ${{ matrix.target }} --config '{"updater":{"active":true}}'
+            rm /tmp/private.key
+          else
+            cargo tauri build --target ${{ matrix.target }}
+          fi
+
+      - name: Upload artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: ${{ matrix.platform }}-${{ matrix.target }}
+          path: |
+            src-tauri/target/${{ matrix.target }}/release/bundle/**/*.${{ matrix.bundle }}
+            src-tauri/target/${{ matrix.target }}/release/bundle/**/*.exe
+            src-tauri/target/${{ matrix.target }}/release/bundle/**/*.AppImage
+            src-tauri/target/${{ matrix.target }}/release/bundle/**/*.deb
+          retention-days: 7
+
+  create-release:
+    needs: build
+    if: github.event_name == 'push' && (github.ref == 'refs/heads/main' || github.ref == 'refs/heads/master')
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+          cache: 'pnpm'
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 8
+
+      - name: Get version
+        id: get_version
+        run: |
+          VERSION=$(node -p "require('./package.json').version")
+          echo "version=$VERSION" >> $GITHUB_OUTPUT
+          echo "tag=v$VERSION" >> $GITHUB_OUTPUT
+
+      - name: Generate changelog for release
+        run: pnpm generate-changelog
+
+      - name: Download all artifacts
+        uses: actions/download-artifact@v4
+        with:
+          path: artifacts
+
+      - name: Extract release notes
+        id: extract_notes
+        run: |
+          if [ -f "data/changelog.json" ]; then
+            NOTES=$(node -e "
+              const fs = require('fs');
+              try {
+                const changelog = JSON.parse(fs.readFileSync('data/changelog.json', 'utf-8'));
+                const latestRelease = changelog.releases[0];
+                if (latestRelease) {
+                  let notes = '## ' + (latestRelease.version === 'unreleased' ? 'Próxima Versão' : 'v' + latestRelease.version) + '\\n\\n';
+                  notes += '**Data:** ' + latestRelease.date + '\\n\\n';
+                  notes += '### Mudanças\\n\\n';
+                  latestRelease.commits.forEach(commit => {
+                    const icon = commit.type === 'feat' ? '✨' : '🐛';
+                    notes += '- ' + icon + ' **' + (commit.type === 'feat' ? 'Nova Funcionalidade' : 'Correção') + ':** ' + commit.message + '\\n';
+                  });
+                  console.log(notes);
+                } else {
+                  console.log('## Release ${{ steps.get_version.outputs.version }}');
+                }
+              } catch (e) {
+                console.log('## Release ${{ steps.get_version.outputs.version }}');
+              }
+            ")
+            echo "notes<<EOF" >> $GITHUB_OUTPUT
+            echo "$NOTES" >> $GITHUB_OUTPUT
+            echo "EOF" >> $GITHUB_OUTPUT
+          else
+            echo "notes=## Release ${{ steps.get_version.outputs.version }}" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Create Release
+        uses: softprops/action-gh-release@v2
+        with:
+          tag_name: ${{ steps.get_version.outputs.tag }}
+          name: Release ${{ steps.get_version.outputs.tag }}
+          body: |
+            ${{ steps.extract_notes.outputs.notes }}
+            
+            ## Downloads
+            
+            Baixe o instalador para sua plataforma nos assets abaixo.
+          draft: false
+          files: artifacts/**/*
+          generate_release_notes: false
+

.gitignore

@@ -39,3 +39,4 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
+~/.tauri/ollahub.key

IMPLEMENTATION_GUIDE.md

@@ -0,0 +1,309 @@
+# Guia de Implementação: System Tray, Background Mode e Task Scheduler
+
+## Status da Implementação
+
+### ✅ Concluído
+
+1. **Estrutura de Tasks** (`src-tauri/src/scheduler.rs`)
+   - `SentinelTask` com suporte a múltiplos tipos de ações
+   - Persistência em `tasks.json`
+   - Gerenciamento de estado thread-safe
+
+2. **Cliente Ollama Headless** (`src-tauri/src/ollama_client.rs`)
+   - Comunicação direta com Ollama via `reqwest`
+   - Suporte a streaming
+   - Verificação de conexão
+
+3. **Executor de Tasks** (`src-tauri/src/task_executor.rs`)
+   - Execução de `SearchAndSummarize`
+   - Execução de `JustPing`
+   - Execução de `CustomPrompt`
+   - Integração com file locks para escrita segura
+
+4. **Scheduler Loop** (`src-tauri/src/scheduler_loop.rs`)
+   - Integração com `tokio-cron-scheduler`
+   - Recarregamento dinâmico de tasks
+   - Execução assíncrona em background
+
+### 🔨 Pendente (Próximos Passos)
+
+#### 1. Comandos Tauri para CRUD de Tasks
+
+Adicione ao `src-tauri/src/lib.rs`:
+
+```rust
+use scheduler::{SchedulerService, SchedulerState, SentinelTask, TaskAction};
+use chrono::Utc;
+use uuid::Uuid;
+
+#[command]
+async fn create_task(
+    scheduler: State<'_, SchedulerState>,
+    label: String,
+    cron_schedule: String,
+    action: TaskAction,
+) -> Result<String, String> {
+    let task = SentinelTask {
+        id: Uuid::new_v4().to_string(),
+        label,
+        cron_schedule,
+        action,
+        enabled: true,
+        last_run: None,
+        created_at: Utc::now(),
+        updated_at: Utc::now(),
+    };
+    
+    let mut sched = scheduler.lock().await;
+    sched.upsert_task(task.clone())?;
+    Ok(task.id)
+}
+
+#[command]
+async fn list_tasks(
+    scheduler: State<'_, SchedulerState>,
+) -> Result<Vec<SentinelTask>, String> {
+    let sched = scheduler.lock().await;
+    Ok(sched.list_tasks())
+}
+
+#[command]
+async fn update_task(
+    scheduler: State<'_, SchedulerState>,
+    task: SentinelTask,
+) -> Result<(), String> {
+    let mut sched = scheduler.lock().await;
+    let mut updated = task;
+    updated.updated_at = Utc::now();
+    sched.upsert_task(updated)
+}
+
+#[command]
+async fn delete_task(
+    scheduler: State<'_, SchedulerState>,
+    id: String,
+) -> Result<(), String> {
+    let mut sched = scheduler.lock().await;
+    sched.remove_task(&id)
+}
+
+#[command]
+async fn toggle_task(
+    scheduler: State<'_, SchedulerState>,
+    id: String,
+    enabled: bool,
+) -> Result<(), String> {
+    let mut sched = scheduler.lock().await;
+    if let Some(mut task) = sched.get_task(&id).cloned() {
+        task.enabled = enabled;
+        task.updated_at = Utc::now();
+        sched.upsert_task(task)
+    } else {
+        Err("Task not found".to_string())
+    }
+}
+```
+
+#### 2. System Tray Setup
+
+No `src-tauri/src/lib.rs`, modifique o `.setup()`:
+
+```rust
+use tauri::{Manager, SystemTray, SystemTrayEvent, SystemTrayMenu, SystemTrayMenuItem};
+
+.setup(|app| {
+    // ... código existente ...
+    
+    // Criar System Tray
+    let tray_menu = SystemTrayMenu::new()
+        .add_item(SystemTrayMenuItem::with_id("show", "Mostrar OllaHub", true, None))
+        .add_item(SystemTrayMenuItem::with_id("pause", "Pausar Tasks", true, None))
+        .add_native_item(SystemTrayMenuItem::Separator)
+        .add_item(SystemTrayMenuItem::with_id("quit", "Sair", true, None));
+    
+    let system_tray = SystemTray::new().with_menu(tray_menu);
+    
+    app.handle().system_tray(system_tray)?;
+    
+    // Handler de eventos do Tray
+    app.handle().on_system_tray_event(|app, event| {
+        if let SystemTrayEvent::MenuItemClick { id, .. } = event {
+            match id.as_str() {
+                "show" => {
+                    if let Some(window) = app.get_window("main") {
+                        window.show().unwrap();
+                        window.set_focus().unwrap();
+                    }
+                }
+                "pause" => {
+                    // Implementar lógica de pausar tasks
+                    log::info!("Pausar tasks - implementar");
+                }
+                "quit" => {
+                    app.exit(0);
+                }
+                _ => {}
+            }
+        }
+    });
+    
+    // Modificar comportamento de fechar janela
+    if let Some(window) = app.get_window("main") {
+        window.on_window_event(|event| {
+            if let tauri::WindowEvent::CloseRequested { api, .. } = event {
+                // Ocultar ao invés de fechar
+                if let Some(window) = event.window() {
+                    window.hide().unwrap();
+                }
+                api.prevent_close();
+            }
+        });
+    }
+    
+    Ok(())
+})
+```
+
+#### 3. Inicializar Scheduler no Setup
+
+No mesmo `.setup()`, após criar o scheduler:
+
+```rust
+// Inicializar scheduler
+let scheduler_service = SchedulerService::new(app.handle().clone())?;
+let scheduler_state: SchedulerState = Arc::new(Mutex::new(scheduler_service));
+let browser_state: BrowserState = app.state();
+
+// Iniciar loop do scheduler em background
+let app_handle = app.handle().clone();
+let scheduler_clone = scheduler_state.clone();
+let browser_clone = browser_state.clone();
+tokio::spawn(async move {
+    if let Err(e) = scheduler_loop::start_scheduler_loop(
+        app_handle,
+        scheduler_clone,
+        browser_clone,
+        None, // Ollama URL - pode vir do settings
+    ).await {
+        log::error!("Erro ao iniciar scheduler: {}", e);
+    }
+});
+
+// Adicionar ao manage
+.manage(scheduler_state)
+```
+
+#### 4. Adicionar Comandos ao Invoke Handler
+
+```rust
+.invoke_handler(tauri::generate_handler![
+    // ... comandos existentes ...
+    create_task,
+    list_tasks,
+    update_task,
+    delete_task,
+    toggle_task,
+])
+```
+
+#### 5. Interface React (app/tasks/page.tsx)
+
+Crie uma página básica para gerenciar tasks:
+
+```tsx
+'use client';
+
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { Button } from '@/components/ui/button';
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+
+interface Task {
+  id: string;
+  label: string;
+  cron_schedule: string;
+  action: any;
+  enabled: boolean;
+  last_run: string | null;
+}
+
+export default function TasksPage() {
+  const [tasks, setTasks] = useState<Task[]>([]);
+  
+  useEffect(() => {
+    loadTasks();
+  }, []);
+  
+  const loadTasks = async () => {
+    try {
+      const loaded = await invoke<Task[]>('list_tasks');
+      setTasks(loaded);
+    } catch (error) {
+      console.error('Erro ao carregar tasks:', error);
+    }
+  };
+  
+  const toggleTask = async (id: string, enabled: boolean) => {
+    try {
+      await invoke('toggle_task', { id, enabled: !enabled });
+      await loadTasks();
+    } catch (error) {
+      console.error('Erro ao alternar task:', error);
+    }
+  };
+  
+  return (
+    <div className="p-6">
+      <h1 className="text-2xl font-bold mb-4">Tarefas Agendadas</h1>
+      <div className="space-y-4">
+        {tasks.map(task => (
+          <Card key={task.id}>
+            <CardHeader>
+              <CardTitle>{task.label}</CardTitle>
+            </CardHeader>
+            <CardContent>
+              <p>Cron: {task.cron_schedule}</p>
+              <p>Status: {task.enabled ? 'Ativa' : 'Pausada'}</p>
+              <Button onClick={() => toggleTask(task.id, task.enabled)}>
+                {task.enabled ? 'Pausar' : 'Ativar'}
+              </Button>
+            </CardContent>
+          </Card>
+        ))}
+      </div>
+    </div>
+  );
+}
+```
+
+## Dependências Adicionais Necessárias
+
+No `Cargo.toml`, já foram adicionadas:
+- `tokio-cron-scheduler = "0.9"`
+- `futures-util = "0.3"`
+- `tauri-plugin-notification = "2"`
+
+**Nota para Linux:** Para System Tray funcionar, pode ser necessário:
+```bash
+# Ubuntu/Debian
+sudo apt-get install libappindicator3-1
+
+# Arch/Manjaro
+sudo pacman -S libappindicator-gtk3
+```
+
+## Próximos Passos
+
+1. Compilar e testar: `cd src-tauri && cargo build`
+2. Corrigir erros de compilação
+3. Testar criação de task via frontend
+4. Verificar se scheduler executa corretamente
+5. Testar System Tray em diferentes plataformas
+
+## Notas Importantes
+
+- **File Locking**: Já implementado - tasks usam o mesmo sistema de locks que salvar sessões
+- **Concorrência**: Scheduler roda em thread separada, não bloqueia UI
+- **Persistência**: Tasks são salvas em `app_data_dir/tasks.json`
+- **Notificações**: Usa `tauri-plugin-notification` para notificações nativas
+

app/globals.css

@@ -2,6 +2,7 @@
 @import "tw-animate-css";
 
 @custom-variant dark (&:is(.dark *));
+@custom-variant hc (&:is([data-high-contrast=true] *));
 
 @theme inline {
   --color-background: var(--background);
@@ -37,10 +38,23 @@
   --color-popover: var(--popover);
   --color-card-foreground: var(--card-foreground);
   --color-card: var(--card);
+  --color-message-user: var(--message-user);
+  --color-message-assistant: var(--message-assistant);
+  --color-message-highlight: var(--message-highlight);
+  --color-message-selected: var(--message-selected);
+  --color-message-high-contrast: var(--message-high-contrast);
   --radius-sm: calc(var(--radius) - 4px);
   --radius-md: calc(var(--radius) - 2px);
   --radius-lg: var(--radius);
   --radius-xl: calc(var(--radius) + 4px);
+  --space-1: 8px;
+  --space-2: 16px;
+  --space-3: 24px;
+  --space-4: 32px;
+  --space-5: 40px;
+  --space-6: 48px;
+  --space-7: 56px;
+  --space-8: 64px;
 }
 
 :root {
@@ -76,6 +90,11 @@
   --sidebar-accent-foreground: oklch(0.21 0.006 285.885);
   --sidebar-border: oklch(0.92 0.004 286.32);
   --sidebar-ring: oklch(0.705 0.015 286.067);
+  --message-user: oklch(0.965 0.02 245);
+  --message-assistant: oklch(0.972 0.012 300);
+  --message-highlight: oklch(0.94 0.02 250);
+  --message-selected: oklch(0.92 0.02 285);
+  --message-high-contrast: oklch(0.99 0 0);
 }
 
 .dark {
@@ -110,13 +129,277 @@
   --sidebar-accent-foreground: oklch(0.985 0 0);
   --sidebar-border: oklch(1 0 0 / 10%);
   --sidebar-ring: oklch(0.552 0.016 285.938);
+  --message-user: oklch(0.23 0.02 245);
+  --message-assistant: oklch(0.24 0.015 300);
+  --message-highlight: oklch(0.34 0.02 250);
+  --message-selected: oklch(0.25 0.02 285);
+  --message-high-contrast: oklch(0.18 0.005 286);
+}
+
+:root[data-high-contrast="true"] {
+  --message-user: oklch(0.9 0 0);
+  --message-assistant: oklch(0.9 0 0);
+  --message-highlight: oklch(0.8 0 0);
+  --message-selected: oklch(0.7 0 0);
+  --message-high-contrast: oklch(0.99 0 0);
 }
 
 @layer base {
-  * {
+  *,
+  *::before,
+  *::after {
     @apply border-border outline-ring/50;
+    box-sizing: border-box;
   }
+  
+  html {
+    overflow-x: hidden;
+  }
+  
   body {
     @apply bg-background text-foreground;
+    overflow-x: hidden;
+    width: 100%;
+    max-width: 100vw;
   }
 }
+
+/* Custom Scrollbar Styles - Padronizado para toda interface */
+::-webkit-scrollbar {
+  width: 8px;
+  height: 8px;
+}
+
+::-webkit-scrollbar-track {
+  background: hsl(var(--muted));
+  border-radius: 4px;
+}
+
+::-webkit-scrollbar-thumb {
+  background: hsl(var(--primary));
+  border-radius: 4px;
+  transition: background 0.2s ease;
+}
+
+::-webkit-scrollbar-thumb:hover {
+  background: hsl(var(--primary) / 0.8);
+}
+
+/* Firefox scrollbar */
+* {
+  scrollbar-width: thin;
+  scrollbar-color: hsl(var(--primary)) hsl(var(--muted));
+}
+
+/* Responsive adjustments */
+@media (max-width: 640px) {
+  ::-webkit-scrollbar {
+    width: 6px;
+    height: 6px;
+  }
+}
+
+/* Responsive layout adjustments */
+@media (max-width: 650px) {
+  /* Sidebar compact mode - hide labels, show only icons */
+  .sidebar-compact .sidebar-label {
+    display: none;
+  }
+  
+  .sidebar-compact .sidebar-icon {
+    font-size: 24px;
+  }
+}
+
+/* Ensure proper spacing and padding at all resolutions */
+@media (min-width: 320px) and (max-width: 2560px) {
+  /* Prevent layout breaking at extreme sizes */
+  .chat-container {
+    min-width: 320px;
+    max-width: 100vw;
+  }
+  
+  .message-container {
+    padding-left: clamp(12px, 4vw, 24px);
+    padding-right: clamp(12px, 4vw, 24px);
+  }
+}
+
+/* Prevent text overflow in cards and messages */
+.truncate-with-ellipsis {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/* Ensure cards never stick to edges */
+.card-container {
+  padding: clamp(8px, 2vw, 16px);
+}
+
+/* Sidebar chat item - prevent overflow and ensure proper truncation */
+.sidebar-chat-item {
+  width: 100%;
+  min-width: 0;
+  overflow: hidden;
+}
+
+.sidebar-chat-item-content {
+  display: flex;
+  align-items: flex-start;
+  gap: 0.625rem;
+  width: 100%;
+  min-width: 0;
+}
+
+.sidebar-chat-item-text {
+  flex: 1;
+  min-width: 0;
+  overflow: hidden;
+}
+
+.sidebar-chat-item-title {
+  width: 100%;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  display: block;
+}
+
+.sidebar-chat-item-date {
+  width: 100%;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  display: block;
+}
+
+/* Responsive font sizes */
+@media (max-width: 640px) {
+  .responsive-text {
+    font-size: clamp(14px, 4vw, 16px);
+  }
+}
+
+/* Model name truncation - ensure long model names don't break layout */
+.model-name {
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  max-width: 70vw;
+  display: inline-block;
+  vertical-align: middle;
+}
+
+@media (max-width: 600px) {
+  .model-name {
+    max-width: 54vw;
+    font-size: 15px;
+  }
+}
+
+/* Select value truncation */
+[data-radix-select-trigger] span {
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  max-width: 100%;
+  display: block;
+}
+
+/* Ensure SelectItems also truncate properly */
+[data-radix-select-item] {
+  min-width: 0;
+}
+
+[data-radix-select-item] span {
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  max-width: 70vw;
+  display: block;
+}
+
+/* Scrollbar específico para lista de chats - mais fino e discreto */
+.sidebar-chat-list::-webkit-scrollbar {
+  width: 6px;
+}
+
+.sidebar-chat-list::-webkit-scrollbar-track {
+  background: transparent;
+  border-radius: 3px;
+}
+
+.sidebar-chat-list::-webkit-scrollbar-thumb {
+  background: hsl(var(--muted-foreground) / 0.3);
+  border-radius: 3px;
+  transition: background 0.2s ease;
+}
+
+.sidebar-chat-list::-webkit-scrollbar-thumb:hover {
+  background: hsl(var(--primary) / 0.6);
+}
+
+/* Firefox scrollbar para lista de chats */
+.sidebar-chat-list {
+  scrollbar-width: thin;
+  scrollbar-color: hsl(var(--muted-foreground) / 0.3) transparent;
+}
+
+/* Minimalista scrollbar para sources */
+.sources-scrollbar {
+  scrollbar-width: thin;
+  scrollbar-color: hsl(var(--muted-foreground) / 0.2) transparent;
+}
+
+.sources-scrollbar::-webkit-scrollbar {
+  height: 4px;
+}
+
+.sources-scrollbar::-webkit-scrollbar-track {
+  background: transparent;
+  border-radius: 2px;
+}
+
+.sources-scrollbar::-webkit-scrollbar-thumb {
+  background: hsl(var(--muted-foreground) / 0.2);
+  border-radius: 2px;
+  transition: background 0.2s ease;
+}
+
+.sources-scrollbar::-webkit-scrollbar-thumb:hover {
+  background: hsl(var(--muted-foreground) / 0.35);
+}
+
+/* Ocultar scrollbar quando não há overflow */
+.sources-scrollbar:not(:hover)::-webkit-scrollbar-thumb {
+  background: transparent;
+}
+
+/* Reasoning Chain animations */
+@keyframes reasoning-fade-in {
+  from { 
+    opacity: 0; 
+    transform: translateY(4px); 
+  }
+  to { 
+    opacity: 1; 
+    transform: translateY(0); 
+  }
+}
+
+.reasoning-step {
+  animation: reasoning-fade-in 0.3s ease-out forwards;
+  opacity: 0;
+}
+
+/* Staggered reveal para steps */
+.reasoning-step:nth-child(1) { animation-delay: 0ms; }
+.reasoning-step:nth-child(2) { animation-delay: 100ms; }
+.reasoning-step:nth-child(3) { animation-delay: 200ms; }
+.reasoning-step:nth-child(4) { animation-delay: 300ms; }
+.reasoning-step:nth-child(5) { animation-delay: 400ms; }
+.reasoning-step:nth-child(6) { animation-delay: 500ms; }
+.reasoning-step:nth-child(7) { animation-delay: 600ms; }
+.reasoning-step:nth-child(8) { animation-delay: 700ms; }
+.reasoning-step:nth-child(n+9) { animation-delay: 800ms; }

app/layout.tsx

@@ -2,6 +2,7 @@ import type { Metadata } from "next";
 import { Geist, Geist_Mono } from "next/font/google";
 import "./globals.css";
 import { ThemeProvider } from "@/components/theme-provider";
+import { AppUpdaterProvider } from "@/components/app-updater-provider";
 
 const geistSans = Geist({
   variable: "--font-geist-sans",
@@ -35,6 +36,7 @@ export default function RootLayout({
           disableTransitionOnChange
         >
           {children}
+          <AppUpdaterProvider />
         </ThemeProvider>
       </body>
     </html>

app/page.tsx

@@ -4,13 +4,36 @@ import { useOllamaCheck } from "@/hooks/use-ollama-check";
 import { Hero } from "@/components/landing/hero";
 import { InstallModal } from "@/components/modals/install-modal";
 import { StoppedCard } from "@/components/landing/stopped-card";
+import { WelcomeNotification } from "@/components/notifications/welcome-notification";
 import { Loader2 } from "lucide-react";
 import { useRouter } from "next/navigation";
+import { useEffect } from "react";
 
 export default function Home() {
   const { status, check } = useOllamaCheck();
   const router = useRouter();
 
+  // Tentar iniciar Ollama automaticamente quando o componente montar
+  useEffect(() => {
+    const tryAutoStart = async () => {
+      try {
+        const { invoke } = await import("@tauri-apps/api/core");
+        await invoke('auto_start_ollama');
+        // Aguardar um pouco e verificar novamente
+        setTimeout(() => {
+          check();
+        }, 2000);
+      } catch (error) {
+        console.error('Erro ao tentar iniciar Ollama automaticamente:', error);
+      }
+    };
+    
+    // Só tentar se estiver instalado mas não rodando
+    if (status === 'installed_stopped') {
+      tryAutoStart();
+    }
+  }, [status, check]);
+
   const handleStart = () => {
     const setupComplete = localStorage.getItem("ollahub_setup_complete");
     if (setupComplete) {
@@ -31,6 +54,8 @@ export default function Home() {
 
   return (
     <main className="flex min-h-screen flex-col items-center justify-center p-4 bg-background text-foreground transition-colors duration-300">
+      {/* Notificação de boas-vindas */}
+      <WelcomeNotification />
       
       {/* Layout for Running State */}
       {status === 'running' && (

app/setup/page.tsx

@@ -2,12 +2,13 @@
 
 import { useHardware } from "@/hooks/use-hardware";
 import { HardwareScan } from "@/components/setup/hardware-scan";
+import { GpuSelector } from "@/components/setup/gpu-selector";
 import { ModelSelector } from "@/components/setup/model-selector";
 import { getRecommendation } from "@/lib/recommendation";
 import { useRouter } from "next/navigation";
 
 export default function SetupPage() {
-  const { specs, loading } = useHardware();
+  const { specs, loading, gpus } = useHardware();
   const router = useRouter();
 
   const handleComplete = () => {
@@ -26,6 +27,12 @@ export default function SetupPage() {
 
         <HardwareScan specs={specs} loading={loading} />
 
+        {!loading && specs && gpus.length > 0 && (
+          <div className="animate-in slide-in-from-bottom-8 duration-700 delay-200 fill-mode-backwards">
+            <GpuSelector gpus={gpus} />
+          </div>
+        )}
+
         {!loading && specs && (
           <div className="animate-in slide-in-from-bottom-8 duration-700 delay-300 fill-mode-backwards">
             <ModelSelector 

app/tasks/page.tsx

@@ -0,0 +1,551 @@
+'use client';
+
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { Button } from '@/components/ui/button';
+import { Card, CardContent, CardHeader, CardTitle, CardDescription } from '@/components/ui/card';
+import { Switch } from '@/components/ui/switch';
+import { Label } from '@/components/ui/label';
+import { Plus, Trash2, Clock, Play, Pause, CheckCircle2, XCircle, X, ArrowLeft } from 'lucide-react';
+import { useRouter } from 'next/navigation';
+import { TitleBar } from '@/components/titlebar';
+import { Badge } from '@/components/ui/badge';
+import { Dialog, DialogContent, DialogDescription, DialogHeader, DialogTitle, DialogTrigger } from '@/components/ui/dialog';
+import { Input } from '@/components/ui/input';
+import { Textarea } from '@/components/ui/textarea';
+import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
+
+interface Task {
+  id: string;
+  label: string;
+  cron_schedule: string;
+  action: {
+    type: 'search_and_summarize' | 'just_ping' | 'custom_prompt';
+    query?: string;
+    model?: string;
+    max_results?: number;
+    message?: string;
+    prompt?: string;
+  };
+  enabled: boolean;
+  last_run: string | null;
+  created_at: string;
+  updated_at: string;
+}
+
+export default function TasksPage() {
+  const router = useRouter();
+  const [tasks, setTasks] = useState<Task[]>([]);
+  const [loading, setLoading] = useState(true);
+  const [isDialogOpen, setIsDialogOpen] = useState(false);
+  
+  useEffect(() => {
+    loadTasks();
+  }, []);
+  
+  const loadTasks = async () => {
+    try {
+      setLoading(true);
+      const loaded = await invoke<Task[]>('list_tasks');
+      setTasks(loaded);
+    } catch (error) {
+      console.error('Erro ao carregar tasks:', error);
+    } finally {
+      setLoading(false);
+    }
+  };
+  
+  const toggleTask = async (id: string, currentEnabled: boolean) => {
+    try {
+      await invoke('toggle_task', { id, enabled: !currentEnabled });
+      await loadTasks();
+    } catch (error) {
+      console.error('Erro ao alternar task:', error);
+    }
+  };
+  
+  const deleteTask = async (id: string) => {
+    if (!confirm('Tem certeza que deseja excluir esta task?')) {
+      return;
+    }
+    
+    try {
+      await invoke('delete_task', { id });
+      await loadTasks();
+    } catch (error) {
+      console.error('Erro ao excluir task:', error);
+    }
+  };
+  
+  const formatCron = (cron: string) => {
+    // Formatação básica de cron para exibição
+    const parts = cron.split(' ');
+    if (parts.length === 5) {
+      const [min, hour, day, month, weekday] = parts;
+      if (min === '0' && hour !== '*' && day === '*' && month === '*' && weekday === '*') {
+        return `Todo dia às ${hour}:00`;
+      }
+      if (min === '0' && hour === '8' && day === '*' && month === '*' && weekday === '*') {
+        return 'Todo dia às 8:00';
+      }
+    }
+    return cron;
+  };
+  
+  const formatLastRun = (lastRun: string | null) => {
+    if (!lastRun) return 'Nunca';
+    try {
+      const date = new Date(lastRun);
+      return date.toLocaleString('pt-BR');
+    } catch {
+      return lastRun;
+    }
+  };
+  
+  return (
+    <div className="h-screen w-full bg-background overflow-hidden flex flex-col">
+      <TitleBar />
+      <div className="flex-1 overflow-y-auto">
+        <div className="container mx-auto p-4 sm:p-6 max-w-6xl w-full overflow-x-hidden">
+      <div className="mb-4 sm:mb-6">
+        <div className="flex items-start justify-between gap-3">
+          <div className="flex-1 min-w-0">
+            <h1 className="text-2xl sm:text-3xl font-bold truncate">Tarefas Agendadas</h1>
+            <p className="text-muted-foreground mt-1 text-sm sm:text-base">
+              Gerencie tarefas que executam automaticamente em segundo plano
+            </p>
+          </div>
+          <Button
+            variant="ghost"
+            size="icon"
+            onClick={() => router.push('/chat')}
+            className="rounded-lg shrink-0"
+            title="Voltar para o chat"
+          >
+            <X className="w-5 h-5" />
+          </Button>
+        </div>
+      </div>
+      
+      {loading ? (
+        <div className="text-center py-12 text-muted-foreground">
+          Carregando tasks...
+        </div>
+      ) : tasks.length === 0 ? (
+        <Card>
+          <CardContent className="py-12 text-center">
+            <p className="text-muted-foreground mb-6">
+              Nenhuma task agendada ainda.
+            </p>
+            <Dialog open={isDialogOpen} onOpenChange={setIsDialogOpen}>
+              <DialogTrigger asChild>
+                <Button size="lg" className="w-full max-w-md">
+                  <Plus className="w-5 h-5 mr-2" />
+                  Criar Primeira Task
+                </Button>
+              </DialogTrigger>
+              <DialogContent className="max-w-2xl">
+                <DialogHeader>
+                  <DialogTitle>Criar Nova Task</DialogTitle>
+                  <DialogDescription>
+                    Configure uma tarefa para executar automaticamente
+                  </DialogDescription>
+                </DialogHeader>
+                <TaskFormDialog 
+                  onSuccess={() => {
+                    setIsDialogOpen(false);
+                    loadTasks();
+                  }}
+                />
+              </DialogContent>
+            </Dialog>
+          </CardContent>
+        </Card>
+      ) : (
+        <>
+          <div className="mb-4">
+            <Dialog open={isDialogOpen} onOpenChange={setIsDialogOpen}>
+              <DialogTrigger asChild>
+                <Button size="lg" className="w-full">
+                  <Plus className="w-5 h-5 mr-2" />
+                  Nova Task
+                </Button>
+              </DialogTrigger>
+              <DialogContent className="max-w-2xl">
+                <DialogHeader>
+                  <DialogTitle>Criar Nova Task</DialogTitle>
+                  <DialogDescription>
+                    Configure uma tarefa para executar automaticamente
+                  </DialogDescription>
+                </DialogHeader>
+                <TaskFormDialog 
+                  onSuccess={() => {
+                    setIsDialogOpen(false);
+                    loadTasks();
+                  }}
+                />
+              </DialogContent>
+            </Dialog>
+          </div>
+        <div className="grid gap-4">
+          {tasks.map(task => (
+            <Card key={task.id}>
+              <CardHeader>
+                <div className="flex items-start justify-between">
+                  <div className="flex-1">
+                    <CardTitle className="flex items-center gap-2">
+                      {task.label}
+                      {task.enabled ? (
+                        <Badge variant="default" className="bg-green-500/10 text-green-500 border-green-500/20">
+                          <CheckCircle2 className="w-3 h-3 mr-1" />
+                          Ativa
+                        </Badge>
+                      ) : (
+                        <Badge variant="secondary">
+                          <XCircle className="w-3 h-3 mr-1" />
+                          Pausada
+                        </Badge>
+                      )}
+                    </CardTitle>
+                    <CardDescription className="mt-2">
+                      <div className="flex items-center gap-4 text-sm">
+                        <span className="flex items-center gap-1">
+                          <Clock className="w-4 h-4" />
+                          {formatCron(task.cron_schedule)}
+                        </span>
+                        <span>Última execução: {formatLastRun(task.last_run)}</span>
+                      </div>
+                    </CardDescription>
+                  </div>
+                  <div className="flex items-center gap-2">
+                    <div className="flex items-center gap-2">
+                      <Label htmlFor={`toggle-${task.id}`} className="text-sm">
+                        {task.enabled ? 'Ativa' : 'Pausada'}
+                      </Label>
+                      <Switch
+                        id={`toggle-${task.id}`}
+                        checked={task.enabled}
+                        onCheckedChange={() => toggleTask(task.id, task.enabled)}
+                      />
+                    </div>
+                    <Button
+                      variant="ghost"
+                      size="icon"
+                      onClick={() => deleteTask(task.id)}
+                    >
+                      <Trash2 className="w-4 h-4" />
+                    </Button>
+                  </div>
+                </div>
+              </CardHeader>
+              <CardContent>
+                <div className="text-sm text-muted-foreground">
+                  <p><strong>Tipo:</strong> {
+                    task.action.type === 'search_and_summarize' ? 'Pesquisar e Resumir' :
+                    task.action.type === 'just_ping' ? 'Notificação' :
+                    'Prompt Customizado'
+                  }</p>
+                  {task.action.query && (
+                    <p><strong>Query:</strong> {task.action.query}</p>
+                  )}
+                  {task.action.model && (
+                    <p><strong>Modelo:</strong> {task.action.model}</p>
+                  )}
+                </div>
+              </CardContent>
+            </Card>
+          ))}
+        </div>
+        </>
+      )}
+        </div>
+      </div>
+    </div>
+  );
+}
+
+function TaskFormDialog({ onSuccess }: { onSuccess: () => void }) {
+  const [label, setLabel] = useState('');
+  const [scheduleType, setScheduleType] = useState<'daily' | 'weekly' | 'hourly' | 'custom'>('daily');
+  const [hour, setHour] = useState('8');
+  const [minute, setMinute] = useState('0');
+  const [intervalHours, setIntervalHours] = useState('1');
+  const [customCron, setCustomCron] = useState('');
+  const [taskType, setTaskType] = useState<'search_and_summarize' | 'just_ping' | 'custom_prompt'>('search_and_summarize');
+  const [query, setQuery] = useState('');
+  const [model, setModel] = useState('llama3.2');
+  const [maxResults, setMaxResults] = useState(3);
+  const [message, setMessage] = useState('');
+  const [customPrompt, setCustomPrompt] = useState('');
+  const [submitting, setSubmitting] = useState(false);
+  
+  const generateCron = (): string => {
+    if (scheduleType === 'custom') {
+      return customCron;
+    }
+    if (scheduleType === 'hourly') {
+      return `0 */${intervalHours} * * *`;
+    }
+    if (scheduleType === 'daily') {
+      return `${minute} ${hour} * * *`;
+    }
+    // Weekly (every Monday at hour:minute)
+    return `${minute} ${hour} * * 1`;
+  };
+
+  const getCronPreview = (): string => {
+    const cron = generateCron();
+    if (scheduleType === 'hourly') {
+      return `A cada ${intervalHours} hora(s)`;
+    }
+    if (scheduleType === 'daily') {
+      return `Todo dia às ${hour.padStart(2, '0')}:${minute.padStart(2, '0')}`;
+    }
+    if (scheduleType === 'weekly') {
+      return `Toda segunda-feira às ${hour.padStart(2, '0')}:${minute.padStart(2, '0')}`;
+    }
+    return cron;
+  };
+  
+  const handleSubmit = async (e: React.FormEvent) => {
+    e.preventDefault();
+    setSubmitting(true);
+    
+    try {
+      let action: any;
+      
+      if (taskType === 'search_and_summarize') {
+        action = {
+          type: 'search_and_summarize',
+          query,
+          model,
+          max_results: maxResults,
+        };
+      } else if (taskType === 'just_ping') {
+        action = {
+          type: 'just_ping',
+          message,
+        };
+      } else {
+        action = {
+          type: 'custom_prompt',
+          prompt: customPrompt,
+          model,
+        };
+      }
+      
+      await invoke('create_task', {
+        label,
+        cronSchedule: generateCron(),
+        action,
+      });
+      
+      onSuccess();
+    } catch (error) {
+      console.error('Erro ao criar task:', error);
+      alert('Erro ao criar task. Verifique o console para mais detalhes.');
+    } finally {
+      setSubmitting(false);
+    }
+  };
+  
+  return (
+    <form onSubmit={handleSubmit} className="space-y-4">
+      <div>
+        <Label htmlFor="label">Nome da Task</Label>
+        <Input
+          id="label"
+          value={label}
+          onChange={(e) => setLabel(e.target.value)}
+          placeholder="Ex: Resumo de Notícias Diário"
+          required
+        />
+      </div>
+      
+      <div>
+        <Label htmlFor="schedule-type">Frequência</Label>
+        <Select value={scheduleType} onValueChange={(v: any) => setScheduleType(v)}>
+          <SelectTrigger>
+            <SelectValue />
+          </SelectTrigger>
+          <SelectContent>
+            <SelectItem value="daily">Diário</SelectItem>
+            <SelectItem value="weekly">Semanal</SelectItem>
+            <SelectItem value="hourly">A cada X horas</SelectItem>
+            <SelectItem value="custom">Cron Customizado (Avançado)</SelectItem>
+          </SelectContent>
+        </Select>
+      </div>
+
+      {/* Cron Preview */}
+      <div className="bg-muted p-3 rounded-lg">
+        <div className="flex items-center gap-2">
+          <Clock className="w-4 h-4 text-muted-foreground" />
+          <span className="text-sm font-medium">Agendamento:</span>
+          <span className="text-sm text-muted-foreground">{getCronPreview()}</span>
+        </div>
+        <div className="mt-1 text-xs text-muted-foreground font-mono">
+          Cron: {generateCron()}
+        </div>
+      </div>
+      
+      {scheduleType === 'custom' ? (
+        <div>
+          <Label htmlFor="cron">Expressão Cron</Label>
+          <Input
+            id="cron"
+            value={customCron}
+            onChange={(e) => setCustomCron(e.target.value)}
+            placeholder="0 8 * * * (todo dia às 8h)"
+            required
+          />
+          <p className="text-xs text-muted-foreground mt-1">
+            Formato: minuto hora dia mês dia-da-semana (ex: 0 8 * * * = todo dia às 8h)
+          </p>
+        </div>
+      ) : scheduleType === 'hourly' ? (
+        <div>
+          <Label htmlFor="interval-hours">Intervalo (horas)</Label>
+          <Input
+            id="interval-hours"
+            type="number"
+            min="1"
+            max="24"
+            value={intervalHours}
+            onChange={(e) => setIntervalHours(e.target.value)}
+            required
+          />
+          <p className="text-xs text-muted-foreground mt-1">
+            A task será executada a cada {intervalHours} hora(s)
+          </p>
+        </div>
+      ) : (
+        <div className="grid grid-cols-2 gap-4">
+          <div>
+            <Label htmlFor="hour">Hora (0-23)</Label>
+            <Input
+              id="hour"
+              type="number"
+              min="0"
+              max="23"
+              value={hour}
+              onChange={(e) => setHour(e.target.value)}
+              required
+            />
+          </div>
+          <div>
+            <Label htmlFor="minute">Minuto (0-59)</Label>
+            <Input
+              id="minute"
+              type="number"
+              min="0"
+              max="59"
+              value={minute}
+              onChange={(e) => setMinute(e.target.value)}
+              required
+            />
+          </div>
+        </div>
+      )}
+      
+      <div>
+        <Label htmlFor="task-type">Tipo de Task</Label>
+        <Select value={taskType} onValueChange={(v: any) => setTaskType(v)}>
+          <SelectTrigger>
+            <SelectValue />
+          </SelectTrigger>
+          <SelectContent>
+            <SelectItem value="search_and_summarize">Pesquisar e Resumir</SelectItem>
+            <SelectItem value="just_ping">Apenas Notificação</SelectItem>
+            <SelectItem value="custom_prompt">Prompt Customizado</SelectItem>
+          </SelectContent>
+        </Select>
+      </div>
+      
+      {taskType === 'search_and_summarize' && (
+        <>
+          <div>
+            <Label htmlFor="query">Query de Pesquisa</Label>
+            <Input
+              id="query"
+              value={query}
+              onChange={(e) => setQuery(e.target.value)}
+              placeholder="Ex: notícias sobre inteligência artificial hoje"
+              required
+            />
+          </div>
+          <div className="grid grid-cols-2 gap-4">
+            <div>
+              <Label htmlFor="model">Modelo</Label>
+              <Input
+                id="model"
+                value={model}
+                onChange={(e) => setModel(e.target.value)}
+                placeholder="llama3.2"
+                required
+              />
+            </div>
+            <div>
+              <Label htmlFor="max-results">Máx. Resultados</Label>
+              <Input
+                id="max-results"
+                type="number"
+                min="1"
+                max="10"
+                value={maxResults}
+                onChange={(e) => setMaxResults(parseInt(e.target.value))}
+                required
+              />
+            </div>
+          </div>
+        </>
+      )}
+      
+      {taskType === 'just_ping' && (
+        <div>
+          <Label htmlFor="message">Mensagem</Label>
+          <Textarea
+            id="message"
+            value={message}
+            onChange={(e) => setMessage(e.target.value)}
+            placeholder="Mensagem da notificação"
+            required
+          />
+        </div>
+      )}
+      
+      {taskType === 'custom_prompt' && (
+        <>
+          <div>
+            <Label htmlFor="prompt">Prompt</Label>
+            <Textarea
+              id="prompt"
+              value={customPrompt}
+              onChange={(e) => setCustomPrompt(e.target.value)}
+              placeholder="Seu prompt customizado aqui"
+              required
+              className="min-h-[100px]"
+            />
+          </div>
+          <div>
+            <Label htmlFor="model-prompt">Modelo</Label>
+            <Input
+              id="model-prompt"
+              value={model}
+              onChange={(e) => setModel(e.target.value)}
+              placeholder="llama3.2"
+              required
+            />
+          </div>
+        </>
+      )}
+      
+      <div className="flex justify-end gap-2 pt-4">
+        <Button type="submit" disabled={submitting}>
+          {submitting ? 'Criando...' : 'Criar Task'}
+        </Button>
+      </div>
+    </form>
+  );
+}
+

components/app-updater-provider.tsx

@@ -0,0 +1,40 @@
+'use client';
+
+import { useEffect, useState } from 'react';
+import { UpdateDialog } from '@/components/modals/update-dialog';
+import { useAppUpdater } from '@/hooks/use-app-updater';
+import { useSettingsStore } from '@/store/settings-store';
+
+export function AppUpdaterProvider() {
+  const { updateAvailable, checkUpdate } = useAppUpdater();
+  const [isOpen, setIsOpen] = useState(false);
+  const [hasChecked, setHasChecked] = useState(false);
+  const autoCheckEnabled = useSettingsStore((state) => state.autoCheckUpdates ?? true);
+
+  useEffect(() => {
+    if (!autoCheckEnabled || hasChecked) return;
+
+    // Verificar após um delay para não interferir no carregamento inicial
+    const timer = setTimeout(() => {
+      checkUpdate().then(() => {
+        setHasChecked(true);
+      });
+    }, 5000); // 5 segundos após o app carregar
+
+    return () => clearTimeout(timer);
+  }, [autoCheckEnabled, hasChecked, checkUpdate]);
+
+  useEffect(() => {
+    if (updateAvailable && !isOpen) {
+      setIsOpen(true);
+    }
+  }, [updateAvailable, isOpen]);
+
+  return (
+    <UpdateDialog
+      open={isOpen}
+      onOpenChange={setIsOpen}
+    />
+  );
+}
+

components/chat/chat-input.tsx

@@ -1,17 +1,83 @@
 import { Button } from "@/components/ui/button";
 import { Textarea } from "@/components/ui/textarea";
-import { Send, Square } from "lucide-react";
-import { useState, useRef, useEffect } from "react";
+import { Send, Square, Globe, WifiOff, ChevronUp, AlertCircle, GraduationCap, Newspaper, Terminal, TrendingUp } from "lucide-react";
+import { useState, useRef, useEffect, useMemo } from "react";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipProvider,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import {
+  DropdownMenu,
+  DropdownMenuCheckboxItem,
+  DropdownMenuContent,
+  DropdownMenuLabel,
+  DropdownMenuSeparator,
+  DropdownMenuTrigger,
+} from "@/components/ui/dropdown-menu";
+import { quickValidate, validateQuery } from "@/lib/query-validation";
+import { useSettingsStore, type SearchCategory } from "@/store/settings-store";
 
 interface ChatInputProps {
   onSend: (message: string) => void;
   onStop: () => void;
   isLoading: boolean;
+  webSearchEnabled?: boolean;
+  onWebSearchToggle?: (enabled: boolean) => void;
+  categories?: SearchCategory[];
+  onToggleCategory?: (id: string, enabled: boolean) => void;
 }
 
-export function ChatInput({ onSend, onStop, isLoading }: ChatInputProps) {
+export function ChatInput({ 
+  onSend, 
+  onStop, 
+  isLoading,
+  webSearchEnabled = true,
+  onWebSearchToggle,
+  categories = [],
+  onToggleCategory,
+}: ChatInputProps) {
   const [input, setInput] = useState("");
   const textareaRef = useRef<HTMLTextAreaElement>(null);
+  const [webDialogOpen, setWebDialogOpen] = useState(false);
+  const settings = useSettingsStore();
+  
+  // Validação em tempo real
+  const validation = useMemo(() => {
+    if (!input.trim()) {
+      return { isValid: true, errors: [], warnings: [] };
+    }
+    const preprocessingConfig = settings.queryPreprocessing || {
+      enabled: true,
+      minLength: 3,
+      maxLength: 2000,
+      autoSplitQuestions: true,
+      irrelevantPatterns: [],
+    };
+    
+    if (!preprocessingConfig.enabled) {
+      return { isValid: true, errors: [], warnings: [] };
+    }
+    
+    return validateQuery(input, {
+      minLength: preprocessingConfig.minLength,
+      maxLength: preprocessingConfig.maxLength,
+      irrelevantPatterns: preprocessingConfig.irrelevantPatterns.length > 0
+        ? preprocessingConfig.irrelevantPatterns
+        : undefined,
+    });
+  }, [input, settings.queryPreprocessing]);
+  
+  const isValid = validation.isValid;
 
   const handleKeyDown = (e: React.KeyboardEvent) => {
     if (e.key === "Enter" && !e.shiftKey) {
@@ -21,7 +87,7 @@ export function ChatInput({ onSend, onStop, isLoading }: ChatInputProps) {
   };
 
   const handleSend = () => {
-    if (input.trim() && !isLoading) {
+    if (input.trim() && !isLoading && isValid) {
       onSend(input);
       setInput("");
     }
@@ -30,43 +96,166 @@ export function ChatInput({ onSend, onStop, isLoading }: ChatInputProps) {
   useEffect(() => {
     if (textareaRef.current) {
       textareaRef.current.style.height = "auto";
-      textareaRef.current.style.height = `${textareaRef.current.scrollHeight}px`;
+      const scrollHeight = textareaRef.current.scrollHeight;
+      // Limitar altura máxima a uns 200px
+      textareaRef.current.style.height = `${Math.min(scrollHeight, 200)}px`;
     }
   }, [input]);
 
   return (
-    <div className="p-4 border-t bg-background">
-      <div className="relative flex items-end gap-2 max-w-3xl mx-auto">
-        <Textarea
-          ref={textareaRef}
-          value={input}
-          onChange={(e) => setInput(e.target.value)}
-          onKeyDown={handleKeyDown}
-          placeholder="Digite sua mensagem..."
-          className="min-h-[50px] max-h-[200px] resize-none pr-12 py-3"
-          rows={1}
-        />
-        <div className="absolute right-2 bottom-2">
-          {isLoading ? (
-            <Button size="icon" variant="destructive" onClick={onStop} className="h-8 w-8">
-              <Square className="h-4 w-4 fill-current" />
-            </Button>
-          ) : (
-            <Button 
-              size="icon" 
-              onClick={handleSend} 
-              disabled={!input.trim()} 
-              className="h-8 w-8"
-            >
-              <Send className="h-4 w-4" />
-            </Button>
-          )}
+    <div className="w-full bg-transparent">
+      <div className="relative w-full">
+        <div className="flex-1 relative bg-background dark:bg-zinc-900/50 rounded-[2rem] border border-border/50 shadow-lg backdrop-blur-xl transition-all duration-200 focus-within:ring-2 focus-within:ring-primary/20 focus-within:border-primary/40 hover:border-primary/30">
+          <Textarea
+            ref={textareaRef}
+            value={input}
+            onChange={(e) => setInput(e.target.value)}
+            onKeyDown={handleKeyDown}
+            placeholder="Pergunte qualquer coisa..."
+            className={`min-h-[52px] sm:min-h-[56px] max-h-[200px] w-full resize-none bg-transparent py-3 sm:py-4 pl-4 sm:pl-6 pr-28 sm:pr-32 text-[16px] sm:text-lg rounded-[2rem] border-0 focus-visible:ring-0 shadow-none placeholder:text-muted-foreground/50 ${
+              input.trim() && !isValid ? 'text-destructive' : ''
+            }`}
+            rows={1}
+          />
+          
+          {/* Right Actions */}
+          <div className="absolute right-2 sm:right-3 bottom-2 sm:bottom-2.5 flex items-center gap-1 sm:gap-1.5">
+            {onWebSearchToggle && (
+              <TooltipProvider>
+                <Tooltip delayDuration={300}>
+                  <TooltipTrigger asChild>
+                    <Button
+                      size="icon"
+                      variant={webSearchEnabled ? "ghost" : "ghost"}
+                      onClick={() => {
+                        if (!webSearchEnabled) {
+                          onWebSearchToggle(true);
+                        } else {
+                          setWebDialogOpen(true);
+                        }
+                      }}
+                      className={`h-9 w-9 rounded-full transition-all ${
+                        webSearchEnabled 
+                          ? "text-primary bg-primary/10 hover:bg-primary/20" 
+                          : "text-muted-foreground hover:text-foreground hover:bg-muted"
+                      }`}
+                      disabled={isLoading}
+                    >
+                      {webSearchEnabled ? (
+                        <Globe className="h-4 w-4" />
+                      ) : (
+                        <WifiOff className="h-4 w-4" />
+                      )}
+                    </Button>
+                  </TooltipTrigger>
+                  <TooltipContent>
+                    <p>
+                      {webSearchEnabled
+                        ? "Pesquisa web ativada"
+                        : "Pesquisa web desativada"}
+                    </p>
+                  </TooltipContent>
+                </Tooltip>
+              </TooltipProvider>
+            )}
+
+            {onToggleCategory && categories && categories.length > 0 && (
+              <DropdownMenu>
+                <DropdownMenuTrigger asChild>
+                  <Button size="icon" variant="ghost" className="h-9 w-9 rounded-full text-muted-foreground hover:text-foreground hover:bg-muted" title="Gerenciar fontes">
+                    <ChevronUp className="h-4 w-4" />
+                  </Button>
+                </DropdownMenuTrigger>
+                <DropdownMenuContent align="end" sideOffset={12} className="w-56 rounded-xl">
+                  <DropdownMenuLabel>Fontes de conhecimento</DropdownMenuLabel>
+                  <DropdownMenuSeparator />
+                  {categories.map((cat) => {
+                    // Mapeamento de ícones por categoria
+                    const getCategoryIcon = (categoryId: string) => {
+                      const iconMap: Record<string, React.ReactNode> = {
+                        'academic': <GraduationCap className="w-4 h-4 text-muted-foreground shrink-0" />,
+                        'news': <Newspaper className="w-4 h-4 text-muted-foreground shrink-0" />,
+                        'tech': <Terminal className="w-4 h-4 text-muted-foreground shrink-0" />,
+                        'finance': <TrendingUp className="w-4 h-4 text-muted-foreground shrink-0" />,
+                      };
+                      return iconMap[categoryId] || null;
+                    };
+
+                    return (
+                      <DropdownMenuCheckboxItem
+                        key={cat.id}
+                        checked={cat.enabled}
+                        onCheckedChange={(checked) => onToggleCategory(cat.id, !!checked)}
+                        className="pl-8"
+                      >
+                        <div className="flex items-center gap-2.5">
+                          {getCategoryIcon(cat.id)}
+                          <span>{cat.name}</span>
+                        </div>
+                      </DropdownMenuCheckboxItem>
+                    );
+                  })}
+                </DropdownMenuContent>
+              </DropdownMenu>
+            )}
+
+            {isLoading ? (
+              <Button 
+                size="icon" 
+                variant="destructive" 
+                onClick={onStop} 
+                className="h-9 w-9 rounded-full shadow-sm animate-in fade-in zoom-in duration-200"
+              >
+                <Square className="h-3.5 w-3.5 fill-current" />
+              </Button>
+            ) : (
+              <Button 
+                size="icon" 
+                onClick={handleSend} 
+                disabled={!input.trim() || !isValid} 
+                className={`h-9 w-9 rounded-full transition-all shadow-sm ${
+                    input.trim() && isValid 
+                    ? "bg-primary text-primary-foreground hover:bg-primary/90" 
+                    : "bg-muted text-muted-foreground cursor-not-allowed"
+                }`}
+              >
+                <Send className="h-4 w-4 ml-0.5" />
+              </Button>
+            )}
+          </div>
         </div>
+
+        {/* Validation Errors */}
+        {input.trim() && !isValid && validation.errors.length > 0 && (
+          <div className="absolute -top-12 left-0 right-0 mx-auto w-max max-w-[90%] animate-in fade-in slide-in-from-bottom-2">
+             <div className="bg-destructive/90 text-destructive-foreground text-xs px-3 py-1.5 rounded-full shadow-lg flex items-center gap-2 backdrop-blur-sm">
+                <AlertCircle className="h-3.5 w-3.5" />
+                <span>{validation.errors[0]}</span>
+             </div>
+          </div>
+        )}
       </div>
-      <div className="text-xs text-center text-muted-foreground mt-2">
-        OllaHub pode cometer erros. Verifique informações importantes.
-      </div>
+
+      <Dialog open={webDialogOpen} onOpenChange={setWebDialogOpen}>
+        <DialogContent className="sm:max-w-[425px] rounded-2xl">
+          <DialogHeader>
+            <DialogTitle>Desativar pesquisa web?</DialogTitle>
+            <DialogDescription>
+              Desativar a busca pode reduzir a qualidade em perguntas sobre fatos recentes.
+            </DialogDescription>
+          </DialogHeader>
+          <DialogFooter className="gap-2 sm:gap-0">
+            <Button variant="outline" onClick={() => setWebDialogOpen(false)} className="rounded-full">Cancelar</Button>
+            <Button
+              variant="destructive"
+              onClick={() => { onWebSearchToggle?.(false); setWebDialogOpen(false); }}
+              className="rounded-full"
+            >
+              Desativar
+            </Button>
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
     </div>
   );
 }
-

components/chat/chat-message.tsx

@@ -1,44 +1,235 @@
 import ReactMarkdown from 'react-markdown';
 import remarkGfm from 'remark-gfm';
+import React, { useState, useMemo } from 'react';
 import { cn } from "@/lib/utils";
 import { Message } from "@/hooks/use-chat";
 import { Bot, User } from "lucide-react";
 import { markdownRenderers } from "./markdown-renderers";
 import { MessageActions } from "./message-actions";
+import { MessageBackground } from "./message-background";
+import { MessageStepThinking } from "./message-step-thinking";
+import type { ThinkingMessageMetadata } from "@/hooks/use-chat";
+
+interface ChatMessageProps {
+  message: Message;
+  isStreaming?: boolean;
+  highlightTerm?: string;
+  highlightIndex?: number;
+  messageIndex?: number;
+}
+
+/**
+ * Componente de mensagem do chat otimizado com React.memo
+ * 
+ * Durante streaming, usa renderização simplificada (texto puro) para evitar
+ * recálculo custoso da árvore DOM e syntax highlight a cada token.
+ * Markdown completo é aplicado apenas quando a mensagem está finalizada.
+ */
+function ChatMessageComponent({ message, isStreaming = false, highlightTerm, highlightIndex = 0, messageIndex }: ChatMessageProps) {
+  // Verificar se é mensagem de processo de pensamento
+  const isThinkingMessage = message.metadata && 
+    typeof message.metadata === 'object' && 
+    'type' in message.metadata && 
+    message.metadata.type === 'thinking';
+
+  if (isThinkingMessage) {
+    return <MessageStepThinking metadata={message.metadata as ThinkingMessageMetadata} />;
+  }
 
-export function ChatMessage({ message }: { message: Message }) {
   const isUser = message.role === 'user';
+  const [selected, setSelected] = useState(false);
+  const isEmpty = !message.content || message.content.trim() === '';
+  
+  // Memoizar processamento de conteúdo
+  const processedContent = useMemo(() => {
+    let content = message.content || '';
+    // Remove metadata tags
+    content = content.replace(/<metadata>[\s\S]*?<\/metadata>/gi, '').trim();
+    
+    // Also remove common prefixes
+    const prefixes = [
+      'Bloco oculto de metadados:', 'Metadata:', 'Metadados:',
+      'Hidden metadata block:', 'JSON metadata:', '---'
+    ];
+    
+    for (const prefix of prefixes) {
+      const regex = new RegExp(`${prefix}\\s*$`, 'i');
+      if (regex.test(content)) {
+        content = content.replace(regex, '').trim();
+      }
+    }
+    
+    return content || message.content;
+  }, [message.content]);
+  
+  // Processar highlight separadamente (após limpeza de conteúdo)
+  // Desabilitar durante streaming para performance
+  const highlightedContent = useMemo(() => {
+    // Não processar highlight durante streaming
+    if (isStreaming) return null;
+    
+    if (!highlightTerm || highlightTerm.trim().length < 2 || (message.role !== 'user' && message.role !== 'assistant')) {
+      return null; // Não há highlight
+    }
+    
+    const term = highlightTerm.trim();
+    const escapedTerm = term.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
+    const regex = new RegExp(`(${escapedTerm})`, 'gi');
+    const content = processedContent;
+    
+    // Encontrar todos os matches
+    const matches: Array<{ start: number; end: number; text: string }> = [];
+    let match;
+    while ((match = regex.exec(content)) !== null) {
+      matches.push({
+        start: match.index,
+        end: match.index + match[0].length,
+        text: match[0]
+      });
+    }
+    
+    if (matches.length === 0) return null;
+    
+    // Construir conteúdo com highlights
+    let highlighted = '';
+    let lastIndex = 0;
+    
+    matches.forEach((match, idx) => {
+      // Adicionar texto antes do match
+      highlighted += content.substring(lastIndex, match.start);
+      
+      // Adicionar match com highlight (laranja para atual, amarelo para outros)
+      const isCurrent = highlightIndex !== undefined && idx === highlightIndex;
+      const className = isCurrent 
+        ? 'bg-orange-400/60 dark:bg-orange-500/60 px-0.5 rounded' 
+        : 'bg-yellow-200/50 dark:bg-yellow-800/50 px-0.5 rounded';
+      
+      highlighted += `<mark class="${className}">${match.text}</mark>`;
+      lastIndex = match.end;
+    });
+    
+    // Adicionar texto restante
+    highlighted += content.substring(lastIndex);
+    return highlighted;
+  }, [processedContent, highlightTerm, highlightIndex, message.role, isStreaming]);
 
   return (
-    <div className={cn(
-      "group flex w-full gap-4 p-6 relative",
-      isUser ? "bg-background" : "bg-muted/30"
-    )}>
-      <div className="flex-shrink-0 mt-1">
+    <MessageBackground
+      role={isUser ? 'user' : 'assistant'}
+      state={selected ? 'selected' : 'normal'}
+      className={cn(
+        "cursor-default transition-colors rounded-xl", 
+        selected && "bg-muted/40",
+        isUser ? "mb-2" : "mb-8"
+      )}
+      onClick={() => setSelected((v) => !v)}
+      tabIndex={0}
+    >
+      <div className="flex-shrink-0 mt-0.5">
         <div className={cn(
-          "w-8 h-8 rounded-sm flex items-center justify-center",
-          isUser ? "bg-primary text-primary-foreground" : "bg-secondary text-secondary-foreground"
+          "w-8 h-8 rounded-full flex items-center justify-center shadow-sm ring-1 ring-border/50 backdrop-blur-sm",
+          isUser 
+            ? "bg-background text-muted-foreground" 
+            : "bg-primary/10 text-primary ring-primary/20"
         )}>
-          {isUser ? <User className="w-5 h-5" /> : <Bot className="w-5 h-5" />}
-        </div>
-      </div>
-      <div className="flex-1 overflow-hidden min-w-0">
-        <div className="prose dark:prose-invert max-w-none break-words">
-          <ReactMarkdown 
-            remarkPlugins={[remarkGfm]}
-            components={markdownRenderers}
-          >
-            {message.content}
-          </ReactMarkdown>
+          {isUser ? <User className="w-4 h-4" /> : <Bot className="w-5 h-5" />}
         </div>
       </div>
       
-      {/* Actions Toolbar - Absolute positioned or flex end */}
-      {!isUser && (
-        <div className="absolute top-4 right-4">
+      <div className="flex-1 overflow-hidden min-w-0 pt-1" data-message-index={messageIndex}>
+        {isUser ? (
+             // Estilo específico para mensagem do usuário (mais destaque, fonte maior)
+             <div 
+               className="text-lg sm:text-xl font-medium tracking-tight text-foreground/90 leading-relaxed break-words whitespace-pre-wrap"
+               dangerouslySetInnerHTML={highlightedContent ? { __html: highlightedContent } : undefined}
+             >
+                {!highlightedContent && processedContent}
+             </div>
+        ) : (
+            // Estilo Assistant
+            isEmpty && isStreaming ? (
+              <div className="flex items-center gap-2 text-muted-foreground py-1">
+                <div className="w-2 h-2 bg-primary rounded-full animate-pulse" />
+                <span className="text-sm font-medium">Gerando resposta...</span>
+              </div>
+            ) : isStreaming ? (
+              // Renderização LEVE durante streaming: texto simples com formatação básica
+              // Evita recálculo de ReactMarkdown e syntax highlight a cada token
+              <div className={cn(
+                "prose prose-neutral dark:prose-invert max-w-none break-words leading-7 text-base text-foreground/90",
+                "prose-headings:font-semibold prose-headings:tracking-tight",
+                "relative"
+              )}>
+                <div className="whitespace-pre-wrap font-sans">
+                  {processedContent}
+                </div>
+                <span className="inline-block w-2 h-4 bg-primary ml-1 animate-pulse rounded-full align-middle" />
+              </div>
+            ) : (
+              // Renderização COMPLETA quando mensagem finalizada: ReactMarkdown com syntax highlight
+              <div className={cn(
+                "prose prose-neutral dark:prose-invert max-w-none break-words leading-7 text-base text-foreground/90",
+                "prose-headings:font-semibold prose-headings:tracking-tight prose-h1:text-2xl prose-h2:text-xl prose-h3:text-lg",
+                "prose-p:leading-7 prose-li:leading-7",
+                "prose-pre:bg-muted/50 prose-pre:border prose-pre:border-border/50 prose-pre:rounded-xl",
+                "prose-mark:bg-yellow-200/50 prose-mark:dark:bg-yellow-800/50 prose-mark:px-0.5 prose-mark:rounded"
+              )}>
+                {highlightedContent ? (
+                  <div dangerouslySetInnerHTML={{ __html: highlightedContent }} />
+                ) : (
+                  <ReactMarkdown 
+                    remarkPlugins={[remarkGfm]}
+                    components={markdownRenderers}
+                  >
+                    {processedContent}
+                  </ReactMarkdown>
+                )}
+              </div>
+            )
+        )}
+      </div>
+      
+      {!isUser && !isStreaming && (
+        <div className={cn(
+            "absolute -bottom-8 left-12 flex items-center gap-2 opacity-0 transition-opacity duration-200",
+            "group-hover:opacity-100",
+            selected && "opacity-100"
+        )}>
           <MessageActions content={message.content} role={message.role} />
         </div>
       )}
-    </div>
+    </MessageBackground>
   );
 }
+
+/**
+ * ChatMessage com React.memo para evitar re-renders desnecessários
+ * 
+ * Comparação customizada:
+ * - Compara conteúdo da mensagem
+ * - Compara estado de streaming
+ * - Compara termo de highlight e índice
+ */
+export const ChatMessage = React.memo(ChatMessageComponent, (prevProps, nextProps) => {
+  // Se streaming mudou, sempre re-renderizar
+  if (prevProps.isStreaming !== nextProps.isStreaming) {
+    return false;
+  }
+  
+  // Durante streaming, só re-renderizar se conteúdo mudou
+  if (nextProps.isStreaming) {
+    return prevProps.message.content === nextProps.message.content;
+  }
+  
+  // Quando não está em streaming, comparar todas as props relevantes
+  return (
+    prevProps.message.content === nextProps.message.content &&
+    prevProps.message.role === nextProps.message.role &&
+    prevProps.highlightTerm === nextProps.highlightTerm &&
+    prevProps.highlightIndex === nextProps.highlightIndex &&
+    prevProps.messageIndex === nextProps.messageIndex
+  );
+});
+
+// Adicionar displayName para debugging
+ChatMessage.displayName = 'ChatMessage';

components/chat/code-block.tsx

@@ -43,3 +43,5 @@ export function CodeBlock({ language, children }: CodeBlockProps) {
   );
 }
 
+
+

components/chat/error-display.tsx

@@ -0,0 +1,64 @@
+'use client';
+
+import { AlertCircle, RefreshCw, X } from 'lucide-react';
+import { cn } from '@/lib/utils';
+import { Button } from '@/components/ui/button';
+
+interface ErrorDisplayProps {
+  error: string | Error;
+  onRetry?: () => void;
+  onDismiss?: () => void;
+  className?: string;
+}
+
+export function ErrorDisplay({ error, onRetry, onDismiss, className }: ErrorDisplayProps) {
+  const errorMessage = error instanceof Error ? error.message : String(error);
+
+  return (
+    <div
+      className={cn(
+        "mx-4 mb-3 px-4 py-3 rounded-lg border border-red-500/50 bg-red-500/10",
+        className
+      )}
+    >
+      <div className="flex items-start gap-3">
+        <AlertCircle className="w-5 h-5 text-red-600 dark:text-red-400 flex-shrink-0 mt-0.5" />
+        <div className="flex-1 min-w-0">
+          <div className="text-sm font-medium text-red-600 dark:text-red-400 mb-1">
+            Erro ao processar
+          </div>
+          <p className="text-sm text-red-700 dark:text-red-300 break-words">
+            {errorMessage}
+          </p>
+          {(onRetry || onDismiss) && (
+            <div className="flex items-center gap-2 mt-3">
+              {onRetry && (
+                <Button
+                  size="sm"
+                  variant="outline"
+                  onClick={onRetry}
+                  className="h-7 text-xs border-red-500/50 text-red-600 dark:text-red-400 hover:bg-red-500/20"
+                >
+                  <RefreshCw className="w-3 h-3 mr-1.5" />
+                  Tentar novamente
+                </Button>
+              )}
+              {onDismiss && (
+                <Button
+                  size="sm"
+                  variant="ghost"
+                  onClick={onDismiss}
+                  className="h-7 text-xs text-red-600 dark:text-red-400 hover:bg-red-500/10"
+                >
+                  <X className="w-3 h-3 mr-1.5" />
+                  Fechar
+                </Button>
+              )}
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+}
+

components/chat/markdown-renderers.tsx

@@ -136,3 +136,5 @@ export const markdownRenderers: Components = {
   ),
 };
 
+
+

components/chat/mcp-config-panel.tsx

@@ -0,0 +1,419 @@
+'use client';
+
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { Button } from '@/components/ui/button';
+import { Card, CardContent, CardDescription, CardHeader, CardTitle, CardAction } from '@/components/ui/card';
+import { Badge } from '@/components/ui/badge';
+import { Loader2, Play, Square, RefreshCw, Save } from 'lucide-react';
+import { useToast } from '@/hooks/use-toast';
+import { McpJsonEditor } from '@/components/chat/mcp-json-editor';
+
+interface McpServerConfig {
+  command: string;
+  args: string[];
+  env?: Record<string, string>;
+}
+
+interface McpConfig {
+  mcpServers: Record<string, McpServerConfig>;
+}
+
+interface McpServerStatus {
+  name: string;
+  status: 'running' | 'stopped' | 'error';
+  pid?: number;
+}
+
+export function McpConfigPanel() {
+  const [config, setConfig] = useState<McpConfig>({ mcpServers: {} });
+  const [statuses, setStatuses] = useState<McpServerStatus[]>([]);
+  const [configJson, setConfigJson] = useState('');
+  const [isLoading, setIsLoading] = useState(false);
+  const [isSaving, setIsSaving] = useState(false);
+  const [configPath, setConfigPath] = useState('');
+  const { toast } = useToast();
+
+  useEffect(() => {
+    loadConfig();
+    loadStatus();
+    loadConfigPath();
+    
+    // Refresh status every 5 seconds
+    const interval = setInterval(() => {
+      loadStatus();
+    }, 5000);
+    
+    return () => clearInterval(interval);
+  }, []);
+
+  const loadConfig = async () => {
+    try {
+      setIsLoading(true);
+      const loadedConfig = await invoke<any>('load_mcp_config');
+      // Convert from Rust HashMap to TypeScript Record
+      // Always ensure minimum structure: { mcpServers: {} }
+      const config: McpConfig = {
+        mcpServers: loadedConfig.mcp_servers || loadedConfig.mcpServers || {}
+      };
+      setConfig(config);
+      setConfigJson(JSON.stringify(config, null, 2));
+    } catch (error) {
+      console.error('Failed to load MCP config:', error);
+      // On error, set minimum structure
+      const minConfig: McpConfig = { mcpServers: {} };
+      setConfig(minConfig);
+      setConfigJson(JSON.stringify(minConfig, null, 2));
+      toast({
+        title: 'Erro',
+        description: 'Falha ao carregar configuração MCP',
+        variant: 'destructive',
+      });
+    } finally {
+      setIsLoading(false);
+    }
+  };
+
+  const loadStatus = async () => {
+    try {
+      const serverStatuses = await invoke<McpServerStatus[]>('list_mcp_server_status');
+      setStatuses(serverStatuses);
+    } catch (error) {
+      console.error('Failed to load MCP status:', error);
+    }
+  };
+
+  const loadConfigPath = async () => {
+    try {
+      const path = await invoke<string>('get_mcp_config_path_command');
+      setConfigPath(path);
+    } catch (error) {
+      console.error('Failed to load config path:', error);
+    }
+  };
+
+  const saveConfig = async () => {
+    try {
+      setIsSaving(true);
+      
+      // Trim whitespace from JSON string
+      const trimmedJson = configJson.trim();
+      
+      // Validate JSON structure
+      if (!trimmedJson) {
+        toast({
+          title: 'Erro',
+          description: 'JSON vazio. Por favor, insira uma configuração válida.',
+          variant: 'destructive',
+        });
+        setIsSaving(false);
+        return;
+      }
+
+      let parsedConfig: McpConfig;
+      try {
+        parsedConfig = JSON.parse(trimmedJson);
+      } catch (e) {
+        const errorMessage = e instanceof Error ? e.message : 'Erro desconhecido ao fazer parse do JSON';
+        console.error('JSON parse error:', e);
+        toast({
+          title: 'Erro de JSON',
+          description: `JSON inválido: ${errorMessage}`,
+          variant: 'destructive',
+        });
+        setIsSaving(false);
+        return;
+      }
+
+      // Validate required structure
+      if (!parsedConfig || typeof parsedConfig !== 'object') {
+        toast({
+          title: 'Erro',
+          description: 'Configuração inválida: deve ser um objeto JSON.',
+          variant: 'destructive',
+        });
+        setIsSaving(false);
+        return;
+      }
+
+      // Ensure mcpServers exists and is an object
+      if (!parsedConfig.mcpServers || typeof parsedConfig.mcpServers !== 'object') {
+        parsedConfig.mcpServers = {};
+      }
+
+      // Always ensure minimum structure: { mcpServers: {} }
+      const normalizedConfig: McpConfig = {
+        mcpServers: parsedConfig.mcpServers || {}
+      };
+
+      // The Rust struct uses serde(rename = "mcpServers") so we can pass it directly
+      // No need to convert mcpServers to mcp_servers
+      await invoke('save_mcp_config', { config: normalizedConfig });
+      setConfig(normalizedConfig);
+      // Update JSON to reflect normalized structure
+      setConfigJson(JSON.stringify(normalizedConfig, null, 2));
+      
+      toast({
+        title: 'Sucesso',
+        description: 'Configuração MCP salva com sucesso',
+      });
+      
+      // Reload status after saving
+      loadStatus();
+    } catch (error) {
+      console.error('Failed to save MCP config:', error);
+      const errorMessage = error instanceof Error ? error.message : 'Erro desconhecido';
+      toast({
+        title: 'Erro',
+        description: `Falha ao salvar configuração MCP: ${errorMessage}`,
+        variant: 'destructive',
+      });
+    } finally {
+      setIsSaving(false);
+    }
+  };
+
+  const startServer = async (name: string) => {
+    try {
+      const serverConfig = config.mcpServers[name];
+      if (!serverConfig) {
+        toast({
+          title: 'Erro',
+          description: `Servidor '${name}' não encontrado na configuração`,
+          variant: 'destructive',
+        });
+        return;
+      }
+
+      await invoke('start_mcp_server', { name, config: serverConfig });
+      toast({
+        title: 'Sucesso',
+        description: `Servidor '${name}' iniciado`,
+      });
+      loadStatus();
+    } catch (error) {
+      console.error('Failed to start server:', error);
+      const errorMessage = error instanceof Error ? error.message : String(error);
+      toast({
+        title: 'Erro ao Iniciar Servidor',
+        description: errorMessage || `Falha ao iniciar servidor '${name}'`,
+        variant: 'destructive',
+      });
+    }
+  };
+
+  const stopServer = async (name: string) => {
+    try {
+      await invoke('stop_mcp_server', { name });
+      toast({
+        title: 'Sucesso',
+        description: `Servidor '${name}' parado`,
+      });
+      loadStatus();
+    } catch (error) {
+      console.error('Failed to stop server:', error);
+      toast({
+        title: 'Erro',
+        description: `Falha ao parar servidor '${name}'`,
+        variant: 'destructive',
+      });
+    }
+  };
+
+  const restartServer = async (name: string) => {
+    try {
+      await invoke('restart_mcp_server', { name });
+      toast({
+        title: 'Sucesso',
+        description: `Servidor '${name}' reiniciado`,
+      });
+      loadStatus();
+    } catch (error) {
+      console.error('Failed to restart server:', error);
+      toast({
+        title: 'Erro',
+        description: `Falha ao reiniciar servidor '${name}'`,
+        variant: 'destructive',
+      });
+    }
+  };
+
+  const restartAll = async () => {
+    try {
+      const started = await invoke<string[]>('restart_all_mcp_servers');
+      toast({
+        title: 'Sucesso',
+        description: `${started.length} servidor(es) iniciado(s)`,
+      });
+      loadStatus();
+    } catch (error) {
+      console.error('Failed to restart all servers:', error);
+      toast({
+        title: 'Erro',
+        description: 'Falha ao reiniciar servidores',
+        variant: 'destructive',
+      });
+    }
+  };
+
+  const getStatusBadgeVariant = (status: string) => {
+    switch (status) {
+      case 'running':
+        return 'default';
+      case 'stopped':
+        return 'secondary';
+      case 'error':
+        return 'destructive';
+      default:
+        return 'secondary';
+    }
+  };
+
+  if (isLoading) {
+    return (
+      <div className="flex items-center justify-center h-full">
+        <Loader2 className="h-6 w-6 animate-spin" />
+      </div>
+    );
+  }
+
+  return (
+    <div className="h-full flex flex-col gap-4 p-4 overflow-hidden">
+      <div className="flex items-center justify-between flex-shrink-0">
+        <div>
+          <h2 className="text-xl font-semibold">MCP Servers</h2>
+          <p className="text-sm text-muted-foreground">
+            Gerencie servidores Model Context Protocol
+          </p>
+          {configPath && (
+            <p className="text-xs text-muted-foreground mt-1">
+              Config: <code className="text-xs bg-muted px-1 py-0.5 rounded">{configPath}</code>
+            </p>
+          )}
+        </div>
+        <Button onClick={restartAll} size="sm" variant="outline">
+          <RefreshCw className="w-4 h-4 mr-2" />
+          Reiniciar Todos
+        </Button>
+      </div>
+
+      {/* Server Status List */}
+      <div className="space-y-2 flex-shrink-0 overflow-y-auto">
+        {Object.keys(config.mcpServers).length === 0 ? (
+          <Card>
+            <CardContent className="pt-6">
+              <p className="text-sm text-muted-foreground text-center">
+                Nenhum servidor MCP configurado. Adicione servidores no JSON abaixo.
+              </p>
+            </CardContent>
+          </Card>
+        ) : (
+          Object.keys(config.mcpServers).map((name) => {
+            const status = statuses.find(s => s.name === name);
+            const isRunning = status?.status === 'running';
+
+            return (
+              <Card key={name}>
+                <CardHeader className="pb-3">
+                  <div className="flex items-center justify-between">
+                    <div className="flex items-center gap-2">
+                      <CardTitle className="text-base">{name}</CardTitle>
+                      {status && (
+                        <Badge variant={getStatusBadgeVariant(status.status)}>
+                          {status.status}
+                        </Badge>
+                      )}
+                      {status?.pid && (
+                        <span className="text-xs text-muted-foreground">
+                          PID: {status.pid}
+                        </span>
+                      )}
+                    </div>
+                    <div className="flex gap-2">
+                      {isRunning ? (
+                        <>
+                          <Button
+                            size="sm"
+                            variant="outline"
+                            onClick={() => stopServer(name)}
+                          >
+                            <Square className="w-3 h-3 mr-1" />
+                            Parar
+                          </Button>
+                          <Button
+                            size="sm"
+                            variant="outline"
+                            onClick={() => restartServer(name)}
+                          >
+                            <RefreshCw className="w-3 h-3 mr-1" />
+                            Reiniciar
+                          </Button>
+                        </>
+                      ) : (
+                        <Button
+                          size="sm"
+                          variant="outline"
+                          onClick={() => startServer(name)}
+                        >
+                          <Play className="w-3 h-3 mr-1" />
+                          Iniciar
+                        </Button>
+                      )}
+                    </div>
+                  </div>
+                </CardHeader>
+                <CardContent>
+                  <div className="space-y-1 text-sm">
+                    <div>
+                      <span className="text-muted-foreground">Comando:</span>{' '}
+                      <code className="text-xs bg-muted px-1 py-0.5 rounded">
+                        {config.mcpServers[name].command} {config.mcpServers[name].args.join(' ')}
+                      </code>
+                    </div>
+                    {config.mcpServers[name].env && (
+                      <div>
+                        <span className="text-muted-foreground">Env:</span>{' '}
+                        <code className="text-xs bg-muted px-1 py-0.5 rounded">
+                          {Object.keys(config.mcpServers[name].env || {}).join(', ')}
+                        </code>
+                      </div>
+                    )}
+                  </div>
+                </CardContent>
+              </Card>
+            );
+          })
+        )}
+      </div>
+
+      {/* JSON Editor */}
+      <Card className="flex flex-col flex-1 min-h-0 max-w-full overflow-hidden">
+        <CardHeader className="flex-shrink-0">
+          <CardTitle className="text-base">Configuração JSON</CardTitle>
+          <CardDescription className="truncate">
+            Edite a configuração MCP no formato JSON padrão
+          </CardDescription>
+          <CardAction>
+            <Button onClick={saveConfig} disabled={isSaving} size="sm">
+              {isSaving ? (
+                <Loader2 className="w-4 h-4 mr-2 animate-spin" />
+              ) : (
+                <Save className="w-4 h-4 mr-2" />
+              )}
+              Salvar
+            </Button>
+          </CardAction>
+        </CardHeader>
+        <CardContent className="flex-1 flex flex-col min-h-0 max-w-full overflow-hidden">
+          <McpJsonEditor
+            value={configJson}
+            onChange={setConfigJson}
+            placeholder='{\n  "mcpServers": {\n    "filesystem": {\n      "command": "npx",\n      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"]\n    }\n  }\n}'
+            className="flex-1 max-w-full h-full"
+          />
+        </CardContent>
+      </Card>
+    </div>
+  );
+}
+

components/chat/mcp-json-editor.tsx

@@ -0,0 +1,184 @@
+'use client';
+
+import { useState, useEffect, useRef } from 'react';
+import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
+import { vscDarkPlus, vs } from 'react-syntax-highlighter/dist/esm/styles/prism';
+import { useTheme } from 'next-themes';
+import { Button } from '@/components/ui/button';
+import { AlertCircle, CheckCircle2, Wand2 } from 'lucide-react';
+import { cn } from '@/lib/utils';
+
+interface McpJsonEditorProps {
+  value: string;
+  onChange: (value: string) => void;
+  placeholder?: string;
+  className?: string;
+}
+
+export function McpJsonEditor({ value, onChange, placeholder, className }: McpJsonEditorProps) {
+  const { theme, resolvedTheme } = useTheme();
+  const [isValid, setIsValid] = useState(true);
+  const [errorMessage, setErrorMessage] = useState<string | null>(null);
+  const [isFormatted, setIsFormatted] = useState(false);
+  const textareaRef = useRef<HTMLTextAreaElement>(null);
+  const highlightContainerRef = useRef<HTMLDivElement>(null);
+
+  // Determine theme
+  const isDark = resolvedTheme === 'dark' || theme === 'dark';
+  const codeStyle = isDark ? vscDarkPlus : vs;
+
+  // Validate JSON and update state
+  const validateJson = (jsonString: string) => {
+    if (!jsonString.trim()) {
+      setIsValid(true);
+      setErrorMessage(null);
+      return;
+    }
+
+    try {
+      JSON.parse(jsonString);
+      setIsValid(true);
+      setErrorMessage(null);
+    } catch (e) {
+      setIsValid(false);
+      const error = e instanceof Error ? e.message : 'JSON inválido';
+      setErrorMessage(error);
+    }
+  };
+
+  // Format JSON
+  const formatJson = () => {
+    if (!value.trim()) return;
+
+    try {
+      const parsed = JSON.parse(value);
+      const formatted = JSON.stringify(parsed, null, 2);
+      onChange(formatted);
+      setIsFormatted(true);
+      setTimeout(() => setIsFormatted(false), 2000);
+    } catch (e) {
+      // If invalid, show error
+      validateJson(value);
+    }
+  };
+
+  // Handle input changes
+  const handleChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
+    const newValue = e.target.value;
+    onChange(newValue);
+    validateJson(newValue);
+    setIsFormatted(false);
+  };
+
+  // Sync scroll between textarea and highlight
+  const handleScroll = () => {
+    if (textareaRef.current && highlightContainerRef.current) {
+      const scrollTop = textareaRef.current.scrollTop;
+      const scrollLeft = textareaRef.current.scrollLeft;
+      
+      const pre = highlightContainerRef.current.querySelector('pre');
+      if (pre) {
+        pre.scrollTop = scrollTop;
+        pre.scrollLeft = scrollLeft;
+      }
+    }
+  };
+
+  // Validate on mount and when value changes externally
+  useEffect(() => {
+    validateJson(value);
+  }, [value]);
+
+  // Count lines for display
+  const lineCount = value.split('\n').length;
+
+  return (
+    <div className={cn('relative flex flex-col h-full min-h-0', className)}>
+      {/* Toolbar */}
+      <div className="flex items-center justify-between mb-2 flex-shrink-0">
+        <div className="flex items-center gap-2">
+          <Button
+            type="button"
+            variant="outline"
+            size="sm"
+            onClick={formatJson}
+            disabled={!value.trim()}
+            className="h-7 text-xs"
+          >
+            <Wand2 className="w-3 h-3 mr-1" />
+            Formatar
+          </Button>
+          {isFormatted && (
+            <div className="flex items-center gap-1 text-xs text-green-600 dark:text-green-400">
+              <CheckCircle2 className="w-3 h-3" />
+              Formatado
+            </div>
+          )}
+        </div>
+        <div className="flex items-center gap-2 text-xs text-muted-foreground">
+          {lineCount > 0 && <span>{lineCount} linha{lineCount !== 1 ? 's' : ''}</span>}
+          {!isValid && errorMessage && (
+            <div className="flex items-center gap-1 text-destructive">
+              <AlertCircle className="w-3 h-3" />
+              <span className="max-w-[200px] truncate">{errorMessage}</span>
+            </div>
+          )}
+          {isValid && value.trim() && (
+            <div className="flex items-center gap-1 text-green-600 dark:text-green-400">
+              <CheckCircle2 className="w-3 h-3" />
+              Válido
+            </div>
+          )}
+        </div>
+      </div>
+
+      {/* Editor Container */}
+      <div className="relative flex-1 min-h-[300px] border rounded-md overflow-hidden bg-background">
+        {/* Syntax Highlighted Background */}
+        <div ref={highlightContainerRef} className="absolute inset-0 pointer-events-none overflow-hidden">
+          <SyntaxHighlighter
+            language="json"
+            style={codeStyle}
+            customStyle={{
+              margin: 0,
+              padding: '0.75rem',
+              background: 'transparent',
+              fontSize: '0.875rem',
+              lineHeight: '1.5rem',
+              overflow: 'hidden',
+              height: '100%',
+            }}
+            PreTag="pre"
+          >
+            {value || placeholder || '{}'}
+          </SyntaxHighlighter>
+        </div>
+
+        {/* Editable Textarea */}
+        <textarea
+          ref={textareaRef}
+          value={value}
+          onChange={handleChange}
+          onScroll={handleScroll}
+          placeholder={placeholder}
+          className={cn(
+            'relative w-full h-full min-h-[300px] p-3 font-mono text-sm leading-6',
+            'bg-transparent text-transparent caret-foreground',
+            'resize-none border-none outline-none',
+            'selection:bg-primary/20',
+            '[&::placeholder]:text-muted-foreground/50',
+            !isValid && 'ring-1 ring-destructive'
+          )}
+          spellCheck={false}
+          style={{
+            fontFamily: 'ui-monospace, SFMono-Regular, "SF Mono", Menlo, Consolas, "Liberation Mono", monospace',
+            overflow: 'auto',
+            overflowY: 'auto',
+            overflowX: 'auto',
+          }}
+        />
+      </div>
+    </div>
+  );
+}
+

components/chat/mcp-server-selector.tsx

@@ -0,0 +1,127 @@
+'use client';
+
+import { useState } from 'react';
+import { Button } from '@/components/ui/button';
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuCheckboxItem,
+  DropdownMenuLabel,
+  DropdownMenuSeparator,
+  DropdownMenuTrigger,
+} from '@/components/ui/dropdown-menu';
+import { Badge } from '@/components/ui/badge';
+import { Server, CheckCircle2 } from 'lucide-react';
+import { cn } from '@/lib/utils';
+import { McpServerInfo } from '@/hooks/use-mcp-servers';
+
+interface McpServerSelectorProps {
+  servers: McpServerInfo[];
+  selectedServers: string[];
+  onSelectionChange: (servers: string[]) => void;
+  isLoading?: boolean;
+  className?: string;
+}
+
+export function McpServerSelector({
+  servers,
+  selectedServers,
+  onSelectionChange,
+  isLoading = false,
+  className,
+}: McpServerSelectorProps) {
+  const [open, setOpen] = useState(false);
+
+  // Filter only running servers
+const runningServers = servers.filter(s => s.status === 'running');
+
+  const handleToggle = (serverName: string) => {
+    if (selectedServers.includes(serverName)) {
+      onSelectionChange(selectedServers.filter(s => s !== serverName));
+    } else {
+      onSelectionChange([...selectedServers, serverName]);
+    }
+  };
+
+  const handleSelectAll = () => {
+    if (selectedServers.length === runningServers.length) {
+      onSelectionChange([]);
+    } else {
+      onSelectionChange(runningServers.map(s => s.name));
+    }
+  };
+
+  const getButtonText = () => {
+    if (selectedServers.length === 0) {
+      return 'Servidores MCP';
+    }
+    if (selectedServers.length === 1) {
+      return selectedServers[0];
+    }
+    return `${selectedServers.length} servidores`;
+  };
+
+  return (
+    <DropdownMenu open={open} onOpenChange={setOpen}>
+      <DropdownMenuTrigger asChild>
+        <Button
+          variant="outline"
+          size="sm"
+          className={cn('h-8 gap-2', className)}
+          disabled={isLoading}
+        >
+          <Server className="h-3.5 w-3.5" />
+          <span className="hidden sm:inline">{getButtonText()}</span>
+          {selectedServers.length > 0 && (
+            <Badge variant="secondary" className="ml-1 h-5 px-1.5 text-xs">
+              {selectedServers.length}
+            </Badge>
+          )}
+        </Button>
+      </DropdownMenuTrigger>
+      <DropdownMenuContent align="end" className="w-56">
+        <DropdownMenuLabel className="flex items-center justify-between">
+          <span>Servidores MCP</span>
+          {selectedServers.length > 0 && (
+            <span className="text-xs font-normal text-muted-foreground">
+              {selectedServers.length} selecionado{selectedServers.length !== 1 ? 's' : ''}
+            </span>
+          )}
+        </DropdownMenuLabel>
+        <DropdownMenuSeparator />
+        <DropdownMenuCheckboxItem
+          checked={selectedServers.length === runningServers.length && runningServers.length > 0}
+          onCheckedChange={handleSelectAll}
+          className="font-medium"
+        >
+          Selecionar Todos
+        </DropdownMenuCheckboxItem>
+        <DropdownMenuSeparator />
+        {runningServers.map((server) => (
+          <DropdownMenuCheckboxItem
+            key={server.name}
+            checked={selectedServers.includes(server.name)}
+            onCheckedChange={() => handleToggle(server.name)}
+            className="flex items-center justify-between"
+          >
+            <div className="flex items-center gap-2">
+              <CheckCircle2 className="h-3 w-3 text-green-600 dark:text-green-400" />
+              <span>{server.name}</span>
+            </div>
+            {server.toolCount !== undefined && server.toolCount > 0 && (
+              <Badge variant="outline" className="ml-2 h-5 px-1.5 text-xs">
+                {server.toolCount}
+              </Badge>
+            )}
+          </DropdownMenuCheckboxItem>
+        ))}
+        {runningServers.length === 0 && (
+          <div className="px-2 py-1.5 text-sm text-muted-foreground">
+            Nenhum servidor rodando
+          </div>
+        )}
+      </DropdownMenuContent>
+    </DropdownMenu>
+  );
+}
+

components/chat/message-actions.tsx

@@ -5,8 +5,8 @@ import {
   DropdownMenuItem,
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
-import { Copy, FileJson, FileText, MoreHorizontal } from "lucide-react";
-import { useState } from "react";
+import { Copy, FileJson, FileText, MoreHorizontal, Contrast } from "lucide-react";
+import { useEffect, useState } from "react";
 
 interface MessageActionsProps {
   content: string;
@@ -15,6 +15,16 @@ interface MessageActionsProps {
 
 export function MessageActions({ content, role }: MessageActionsProps) {
   const [copied, setCopied] = useState(false);
+  const [highContrast, setHighContrast] = useState(false);
+
+  useEffect(() => {
+    const saved = typeof window !== 'undefined' ? localStorage.getItem('highContrast') === 'true' : false;
+    setHighContrast(saved);
+    if (typeof document !== 'undefined') {
+      if (saved) document.documentElement.setAttribute('data-high-contrast', 'true');
+      else document.documentElement.removeAttribute('data-high-contrast');
+    }
+  }, []);
 
   const handleCopy = (text: string) => {
     navigator.clipboard.writeText(text);
@@ -73,9 +83,27 @@ export function MessageActions({ content, role }: MessageActionsProps) {
             <FileJson className="mr-2 h-4 w-4" />
             <span>Copiar JSON</span>
           </DropdownMenuItem>
+          <DropdownMenuItem
+            onClick={() => {
+              const next = !highContrast;
+              setHighContrast(next);
+              if (typeof document !== 'undefined') {
+                if (next) document.documentElement.setAttribute('data-high-contrast', 'true');
+                else document.documentElement.removeAttribute('data-high-contrast');
+              }
+              if (typeof window !== 'undefined') {
+                localStorage.setItem('highContrast', String(next));
+              }
+            }}
+          >
+            <Contrast className="mr-2 h-4 w-4" />
+            <span>{highContrast ? 'Desativar Alto Contraste' : 'Ativar Alto Contraste'}</span>
+          </DropdownMenuItem>
         </DropdownMenuContent>
       </DropdownMenu>
     </div>
   );
 }
 
+
+

components/chat/message-background.tsx

@@ -0,0 +1,45 @@
+import * as React from "react";
+import { cn } from "@/lib/utils";
+
+type MessageRole = "user" | "assistant";
+type MessageVisualState = "normal" | "highlighted" | "selected";
+
+interface MessageBackgroundProps extends React.ComponentProps<"div"> {
+  role: MessageRole;
+  state?: MessageVisualState;
+  highContrast?: boolean;
+}
+
+export function MessageBackground({
+  role,
+  state = "normal",
+  highContrast = false,
+  className,
+  children,
+  ...props
+}: MessageBackgroundProps) {
+  const base = "group flex w-full gap-4 md:gap-6 relative transition-all duration-200";
+  
+  // User: Fundo sutil, alinhado à direita (se quiséssemos, mas o layout atual é lista). 
+  // Vamos manter layout lista mas com estilo clean.
+  // Perplexity usa: User message apenas texto bold/destacado, Assistant texto normal.
+  
+  const roleCl = role === "user"
+    ? "bg-transparent text-foreground px-0 py-2" // Minimalista
+    : "bg-transparent text-foreground/90 px-0 py-2";
+
+  // Estado de seleção sutil
+  const stateCl = state === "selected" ? "bg-muted/30 -mx-4 px-4 rounded-lg" : "";
+  
+  const hc = highContrast ? "hc:bg-message-high-contrast hc:text-foreground" : "";
+
+  return (
+    <div
+      data-selected={state === "selected"}
+      className={cn(base, roleCl, stateCl, hc, className)}
+      {...props}
+    >
+      {children}
+    </div>
+  );
+}

components/chat/message-step-thinking.tsx

@@ -0,0 +1,137 @@
+'use client';
+
+import { 
+  Search, 
+  Brain, 
+  Globe, 
+  Package, 
+  Loader2, 
+  CheckCircle2, 
+  XCircle, 
+  AlertCircle,
+  ChevronDown,
+  ChevronUp,
+  ExternalLink,
+  Copy,
+  Check
+} from 'lucide-react';
+import { cn } from '@/lib/utils';
+import { useState } from 'react';
+import type { ThinkingMessageMetadata } from '@/hooks/use-chat';
+
+interface MessageStepThinkingProps {
+  metadata: ThinkingMessageMetadata;
+}
+
+export function MessageStepThinking({ metadata }: MessageStepThinkingProps) {
+  const [isExpanded, setIsExpanded] = useState(false);
+  const [copiedIndex, setCopiedIndex] = useState<number | null>(null);
+
+  const getStepIcon = () => {
+    const isSpinning = metadata.stepType === 'response-generation' && metadata.status === 'running';
+    
+    switch (metadata.stepType) {
+      case 'preprocessing':
+        return <Brain className={cn("w-4 h-4 text-muted-foreground/80", isSpinning && "animate-spin")} />;
+      case 'web-research':
+        return <Globe className={cn("w-4 h-4 text-muted-foreground/80", isSpinning && "animate-spin")} />;
+      case 'sources-found':
+        return <Package className={cn("w-4 h-4 text-muted-foreground/80", isSpinning && "animate-spin")} />;
+      case 'processing':
+        return <Brain className={cn("w-4 h-4 text-muted-foreground/80", isSpinning && "animate-spin")} />;
+      case 'response-generation':
+        return <Loader2 className={cn("w-4 h-4 text-muted-foreground/80", isSpinning && "animate-spin")} />;
+      case 'fallback':
+        return <AlertCircle className="w-4 h-4 text-muted-foreground/80" />;
+      case 'error':
+        return <XCircle className="w-4 h-4 text-destructive/80" />;
+      default:
+        return <Search className="w-4 h-4 text-muted-foreground/80" />;
+    }
+  };
+
+  const copyToClipboard = async (url: string, index: number) => {
+    try {
+      await navigator.clipboard.writeText(url);
+      setCopiedIndex(index);
+      setTimeout(() => setCopiedIndex(null), 2000);
+    } catch (error) {
+      console.error('Failed to copy URL:', error);
+    }
+  };
+
+  return (
+    <div className="mb-4 ml-10 animate-in fade-in slide-in-from-bottom-2 duration-300">
+      <div className="flex items-center gap-3 p-2 transition-all w-fit max-w-full">
+        <div className="flex items-center gap-2">
+            {getStepIcon()}
+            <span className={cn(
+              "text-sm font-medium",
+              metadata.status === 'error' 
+                ? "text-destructive/80" 
+                : "text-muted-foreground/80"
+            )}>
+                {metadata.label}
+            </span>
+        </div>
+
+        {metadata.status === 'running' && (
+             <Loader2 className="w-3 h-3 animate-spin text-muted-foreground/50" />
+        )}
+
+        {(metadata.details || metadata.sources || metadata.error) && (
+          <button
+            onClick={() => setIsExpanded(!isExpanded)}
+            className="p-1 hover:bg-black/5 dark:hover:bg-white/10 rounded-full transition-colors"
+          >
+            {isExpanded ? (
+              <ChevronUp className="w-3.5 h-3.5 opacity-50" />
+            ) : (
+              <ChevronDown className="w-3.5 h-3.5 opacity-50" />
+            )}
+          </button>
+        )}
+      </div>
+
+      {/* Progress Bar Compacta */}
+      {metadata.progress !== undefined && metadata.progress < 100 && (
+         <div className="ml-1 mt-1 w-32 h-1 bg-muted/50 rounded-full overflow-hidden">
+            <div 
+                className="h-full bg-primary/50 transition-all duration-300" 
+                style={{ width: `${metadata.progress}%` }}
+            />
+         </div>
+      )}
+
+      {/* Conteúdo Expandido */}
+      {isExpanded && (
+        <div className="mt-2 ml-1 p-3 border-l-2 border-muted/30 space-y-2 text-sm text-muted-foreground animate-in fade-in">
+            {metadata.details && (
+                <div className="whitespace-pre-wrap">{metadata.details}</div>
+            )}
+            
+            {metadata.sources && metadata.sources.length > 0 && (
+                <div className="flex flex-wrap gap-2 pt-1">
+                    {metadata.sources.map((source, idx) => (
+                         <div key={idx} className="flex items-center gap-1 bg-background/50 border border-muted/50 px-2 py-1 rounded text-xs max-w-[200px]">
+                            <ExternalLink className="w-3 h-3 opacity-50" />
+                            <a href={source.url} target="_blank" className="truncate hover:underline flex-1">{source.title || source.url}</a>
+                            <button onClick={() => copyToClipboard(source.url, idx)} className="ml-1 opacity-50 hover:opacity-100">
+                                {copiedIndex === idx ? <Check className="w-3 h-3 text-green-500" /> : <Copy className="w-3 h-3" />}
+                            </button>
+                         </div>
+                    ))}
+                </div>
+            )}
+
+            {metadata.error && (
+                <div className="text-red-500 font-medium flex items-center gap-2">
+                    <XCircle className="w-4 h-4" />
+                    {metadata.error}
+                </div>
+            )}
+        </div>
+      )}
+    </div>
+  );
+}

components/chat/model-download-dialog.tsx

@@ -0,0 +1,529 @@
+import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, DialogTitle } from "@/components/ui/dialog";
+import { Button } from "@/components/ui/button";
+import { Input } from "@/components/ui/input";
+import { Progress } from "@/components/ui/progress";
+import { Label } from "@/components/ui/label";
+import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
+import { Download, Loader2, X, Upload, Globe, AlertCircle, File } from "lucide-react";
+import { useState, useEffect, useRef } from "react";
+import { invoke } from "@tauri-apps/api/core";
+import { listen } from "@tauri-apps/api/event";
+// Usar file dialog do Tauri v2
+
+interface ModelDownloadDialogProps {
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+  onSuccess?: (modelName: string) => void;
+}
+
+interface DownloadInfo {
+  status: string;
+  percent?: number;
+  downloaded?: string;
+  total?: string;
+  speed?: string;
+  raw: string;
+}
+
+export function ModelDownloadDialog({ open, onOpenChange, onSuccess }: ModelDownloadDialogProps) {
+  const [activeTab, setActiveTab] = useState<"download" | "local">("download");
+  const [modelName, setModelName] = useState("");
+  const [isDownloading, setIsDownloading] = useState(false);
+  const [downloadProgress, setDownloadProgress] = useState(0);
+  const [downloadStatus, setDownloadStatus] = useState("");
+  const [downloadInfo, setDownloadInfo] = useState<DownloadInfo | null>(null);
+  const [error, setError] = useState<string | null>(null);
+  const [isInstalled, setIsInstalled] = useState(false);
+  const isDownloadingRef = useRef(false);
+  const modelNameRef = useRef("");
+  
+  // Estados para instalação local
+  const [isInstallingLocal, setIsInstallingLocal] = useState(false);
+  const [localInstallProgress, setLocalInstallProgress] = useState(0);
+  const [localInstallError, setLocalInstallError] = useState<string | null>(null);
+  const [localModelName, setLocalModelName] = useState("");
+
+  // Atualizar refs quando estado muda
+  useEffect(() => {
+    isDownloadingRef.current = isDownloading;
+    modelNameRef.current = modelName;
+  }, [isDownloading, modelName]);
+
+  // Resetar estado quando dialog abre/fecha
+  useEffect(() => {
+    if (open) {
+      setActiveTab("download");
+      setModelName("");
+      setIsDownloading(false);
+      setDownloadProgress(0);
+      setDownloadStatus("");
+      setDownloadInfo(null);
+      setError(null);
+      setIsInstalled(false);
+      isDownloadingRef.current = false;
+      modelNameRef.current = "";
+      // Reset estados locais
+      setIsInstallingLocal(false);
+      setLocalInstallProgress(0);
+      setLocalInstallError(null);
+      setLocalModelName("");
+    }
+  }, [open]);
+
+  // Verificar se modelo já está instalado quando nome muda
+  useEffect(() => {
+    if (modelName.trim() && !isDownloading) {
+      checkInstallation(modelName.trim());
+    }
+  }, [modelName, isDownloading]);
+
+  // Listener para progresso do download - sempre ativo quando dialog está aberto
+  useEffect(() => {
+    if (!open) return;
+
+    let unlistenFn: (() => void) | null = null;
+
+    const setupListener = async () => {
+      const unlisten = await listen<string>('download-progress', (event) => {
+        // Só processar se estiver fazendo download (usar ref para evitar stale closure)
+        if (!isDownloadingRef.current) return;
+
+        const payload = event.payload;
+        
+        // Tentar parsear como JSON estruturado
+        let info: DownloadInfo | null = null;
+        try {
+          info = JSON.parse(payload) as DownloadInfo;
+        } catch {
+          // Fallback: tratar como string raw
+          info = {
+            status: "downloading",
+            raw: payload,
+          };
+        }
+        
+        if (info) {
+          setDownloadInfo(info);
+          
+          // Atualizar status text
+          const statusText = info.status === "pulling" ? "Baixando modelo..." :
+                           info.status === "verifying" ? "Verificando..." :
+                           info.status === "writing" ? "Salvando..." :
+                           info.status === "success" ? "Concluído!" :
+                           "Baixando...";
+          setDownloadStatus(statusText);
+          
+          // Atualizar progresso
+          if (info.percent !== undefined) {
+            setDownloadProgress(info.percent);
+          } else {
+            // Fallback: estimar progresso baseado no status
+            if (info.status === "pulling") {
+              setDownloadProgress(prev => prev < 10 ? 10 : prev);
+            } else if (info.status === "verifying") {
+              setDownloadProgress(90);
+            } else if (info.status === "writing") {
+              setDownloadProgress(95);
+            }
+          }
+          
+          // Se chegou a 100% ou success, marcar como instalado após um pequeno delay
+          if (info.percent === 100 || info.status === "success") {
+            setTimeout(async () => {
+              setIsInstalled(true);
+              setIsDownloading(false);
+              isDownloadingRef.current = false;
+              const currentModelName = modelNameRef.current.trim();
+              await checkInstallation(currentModelName);
+              // Após verificar instalação, chamar onSuccess e fechar
+              if (onSuccess) {
+                onSuccess(currentModelName);
+              }
+              onOpenChange(false);
+            }, 500);
+          }
+        }
+      });
+      unlistenFn = unlisten;
+    };
+
+    setupListener();
+
+    return () => {
+      if (unlistenFn) {
+        unlistenFn();
+      }
+    };
+  }, [open, onSuccess, onOpenChange]);
+
+  const checkInstallation = async (name: string) => {
+    try {
+      const installed = await invoke<boolean>('check_if_model_installed', { name });
+      setIsInstalled(installed);
+      if (installed) {
+        setError(null);
+      }
+    } catch (e) {
+      console.error("Check failed", e);
+    }
+  };
+
+  const validateModelName = (name: string): string | null => {
+    const trimmed = name.trim();
+    if (!trimmed) {
+      return "Nome do modelo não pode estar vazio";
+    }
+    // Validar formato: aceita letras, números, pontos, underscores, hífens, dois pontos e barras
+    // Exemplos válidos: "llama3.2:1b", "huihui_ai/qwen3-abliterated:1.7b", "mistral:latest"
+    if (!/^[a-zA-Z0-9._:\/-]+$/.test(trimmed)) {
+      return "Nome do modelo contém caracteres inválidos";
+    }
+    // Não pode começar ou terminar com barra, dois pontos ou hífen
+    if (/^[\/:\-]|[\/:\-]$/.test(trimmed)) {
+      return "Nome do modelo não pode começar ou terminar com /, : ou -";
+    }
+    return null;
+  };
+
+  const handleDownload = async () => {
+    const trimmedName = modelName.trim();
+    const validationError = validateModelName(trimmedName);
+    
+    if (validationError) {
+      setError(validationError);
+      return;
+    }
+
+    if (isInstalled) {
+      // Se já está instalado, apenas fechar e notificar sucesso
+      handleSuccess(trimmedName);
+      return;
+    }
+
+    setIsDownloading(true);
+    isDownloadingRef.current = true;
+    setDownloadProgress(0);
+    setDownloadStatus("Iniciando download...");
+    setError(null);
+    modelNameRef.current = trimmedName;
+
+    try {
+      await invoke('pull_model', { name: trimmedName });
+      // O status será atualizado pelo listener quando o download completar
+    } catch (error: any) {
+      console.error("Download failed", error);
+      setError(error?.message || "Falha no download. Tente novamente.");
+      setDownloadStatus("");
+      setDownloadProgress(0);
+      setIsDownloading(false);
+      isDownloadingRef.current = false;
+    }
+  };
+
+  const handleSuccess = (name: string) => {
+    // Só fechar e chamar onSuccess se realmente completou o download
+    // Se já estava instalado, também chamar onSuccess
+    if (onSuccess) {
+      onSuccess(name);
+    }
+    // Não fechar automaticamente se foi apenas verificação de instalação
+    // Deixar o usuário decidir quando fechar
+  };
+
+  const handleClose = () => {
+    // Permitir fechar sempre, mas avisar se estiver baixando
+    if (isDownloading) {
+      const confirmed = window.confirm("O download está em andamento. Deseja realmente fechar? O download continuará em segundo plano.");
+      if (!confirmed) {
+        return;
+      }
+    }
+    onOpenChange(false);
+  };
+
+  const handleCancel = () => {
+    // Cancelar download (por enquanto apenas fecha o dialog e para o estado)
+    // TODO: Implementar cancelamento real do processo ollama pull
+    if (isDownloading) {
+      const confirmed = window.confirm("Deseja cancelar o download? O processo continuará em segundo plano.");
+      if (confirmed) {
+        setIsDownloading(false);
+        isDownloadingRef.current = false;
+        setDownloadProgress(0);
+        setDownloadStatus("");
+        onOpenChange(false);
+      }
+    } else {
+      onOpenChange(false);
+    }
+  };
+
+  const handleSelectFileButton = async () => {
+    try {
+      // Usar comando Rust para abrir dialog nativo do sistema
+      // Isso evita limitações do input file HTML5 com arquivos grandes
+      const selectedPath = await invoke<string | null>('open_gguf_file_dialog');
+      
+      if (!selectedPath) {
+        // Usuário cancelou
+        return;
+      }
+      
+      setIsInstallingLocal(true);
+      setLocalInstallError(null);
+      setLocalInstallProgress(0);
+      
+      try {
+        setLocalInstallProgress(10);
+        
+        // Extrair nome do arquivo do caminho
+        const pathParts = selectedPath.split(/[/\\]/);
+        const fileName = pathParts[pathParts.length - 1] || 'model';
+        const fileNameLower = fileName.toLowerCase();
+        const hasGgufExtension = fileNameLower.endsWith('.gguf');
+        
+        // Extrair nome do modelo (remover extensão se for .gguf, senão manter)
+        const fileNameWithoutExt = hasGgufExtension 
+          ? fileName.replace(/\.gguf$/i, '')
+          : fileName;
+        const modelNameToUse = localModelName.trim() || fileNameWithoutExt;
+        
+        setLocalInstallProgress(30);
+        
+        // Instalar diretamente do caminho (sem precisar copiar para temp primeiro)
+        const installedModelName = await invoke<string>('install_gguf_model', {
+          filePath: selectedPath,
+          modelName: modelNameToUse || undefined,
+        });
+        
+        setLocalInstallProgress(100);
+        
+        await new Promise(resolve => setTimeout(resolve, 500));
+        
+        if (onSuccess) {
+          onSuccess(installedModelName);
+        }
+        
+        setTimeout(() => {
+          onOpenChange(false);
+        }, 1000);
+        
+      } catch (err: any) {
+        const errorMsg = err?.message || 'Erro ao instalar modelo GGUF';
+        setLocalInstallError(errorMsg);
+        console.error('Erro ao instalar modelo GGUF:', err);
+      } finally {
+        setIsInstallingLocal(false);
+      }
+    } catch (err: any) {
+      console.error('Erro ao abrir dialog de arquivo:', err);
+      setLocalInstallError('Erro ao abrir seletor de arquivo');
+    }
+  };
+
+  const isValid = modelName.trim().length > 0 && !validateModelName(modelName.trim());
+
+  return (
+    <Dialog open={open} onOpenChange={(open) => {
+      if (!open) {
+        handleClose();
+      }
+    }}>
+      <DialogContent className="sm:max-w-[600px]">
+        <DialogHeader>
+          <DialogTitle>Adicionar Modelo</DialogTitle>
+          <DialogDescription>
+            Baixe modelos do Ollama ou instale arquivos GGUF locais
+          </DialogDescription>
+        </DialogHeader>
+        
+        <Tabs value={activeTab} onValueChange={(v) => setActiveTab(v as "download" | "local")} className="w-full">
+          <TabsList className="grid w-full grid-cols-2">
+            <TabsTrigger value="download" className="flex items-center gap-2">
+              <Globe className="w-4 h-4" />
+              Baixar do Ollama
+            </TabsTrigger>
+            <TabsTrigger value="local" className="flex items-center gap-2">
+              <Upload className="w-4 h-4" />
+              Instalar Local
+            </TabsTrigger>
+          </TabsList>
+          
+          <TabsContent value="download" className="space-y-4 mt-4">
+            <div className="space-y-2">
+              <Label htmlFor="model-name">Nome do Modelo</Label>
+              <Input
+                id="model-name"
+                value={modelName}
+                onChange={(e) => setModelName(e.target.value)}
+                placeholder="ex: llama3.2:1b"
+                disabled={isDownloading}
+                onKeyDown={(e) => {
+                  if (e.key === 'Enter' && isValid && !isDownloading) {
+                    handleDownload();
+                  }
+                }}
+              />
+              {error && (
+                <p className="text-sm text-destructive">{error}</p>
+              )}
+              {isInstalled && !isDownloading && (
+                <p className="text-sm text-green-600 dark:text-green-400">
+                  ✓ Este modelo já está instalado
+                </p>
+              )}
+            </div>
+
+            {isDownloading && (
+              <div className="space-y-2">
+                <div className="flex justify-between text-xs text-muted-foreground">
+                  <span>{downloadStatus || "Iniciando..."}</span>
+                  <span>{downloadProgress}%</span>
+                </div>
+                <Progress value={downloadProgress} className="h-2" />
+                {downloadInfo && (downloadInfo.downloaded || downloadInfo.speed) && (
+                  <div className="flex justify-between text-xs text-muted-foreground">
+                    <span>
+                      {downloadInfo.downloaded && downloadInfo.total 
+                        ? `${downloadInfo.downloaded} / ${downloadInfo.total}`
+                        : downloadInfo.downloaded || ""}
+                    </span>
+                    {downloadInfo.speed && (
+                      <span>{downloadInfo.speed}</span>
+                    )}
+                  </div>
+                )}
+              </div>
+            )}
+
+            {isInstalled && !isDownloading && (
+              <div className="bg-muted/50 p-3 rounded-md text-sm">
+                <p className="text-muted-foreground">
+                  O modelo está instalado e pronto para uso.
+                </p>
+              </div>
+            )}
+          </TabsContent>
+          
+          <TabsContent value="local" className="space-y-4 mt-4">
+            <div className="space-y-4">
+              <div className="space-y-2">
+                <Label htmlFor="local-model-name">Nome do Modelo (opcional)</Label>
+                <Input
+                  id="local-model-name"
+                  value={localModelName}
+                  onChange={(e) => setLocalModelName(e.target.value)}
+                  placeholder="Deixe vazio para usar o nome do arquivo"
+                  disabled={isInstallingLocal}
+                />
+                <p className="text-xs text-muted-foreground">
+                  Se não especificar, o nome será extraído do arquivo
+                </p>
+              </div>
+              
+              <div className="space-y-4">
+                {isInstallingLocal ? (
+                  <div className="border rounded-xl p-6 bg-muted/30 space-y-4">
+                    <div className="flex items-center gap-3">
+                      <Loader2 className="w-5 h-5 animate-spin text-primary" />
+                      <div className="flex-1">
+                        <p className="font-medium text-sm">Instalando modelo...</p>
+                        <p className="text-xs text-muted-foreground mt-1">
+                          Processando arquivo...
+                        </p>
+                      </div>
+                    </div>
+                    
+                    {localInstallProgress > 0 && (
+                      <div className="space-y-2">
+                        <Progress value={localInstallProgress} className="h-2" />
+                        <p className="text-xs text-muted-foreground text-center">
+                          {localInstallProgress}%
+                        </p>
+                      </div>
+                    )}
+                  </div>
+                ) : (
+                  <>
+                    <div className="border-2 border-dashed rounded-xl p-8 text-center bg-muted/30">
+                      <Upload className="w-12 h-12 mx-auto mb-4 text-muted-foreground" />
+                      <p className="text-sm text-muted-foreground mb-4">
+                        Selecione um arquivo GGUF para instalar localmente
+                      </p>
+                      <Button
+                        onClick={handleSelectFileButton}
+                        disabled={isInstallingLocal}
+                        className="w-full"
+                      >
+                        <File className="w-4 h-4 mr-2" />
+                        Selecionar arquivo GGUF
+                      </Button>
+                    </div>
+                    
+                    {localInstallError && (
+                      <div className="border border-destructive/50 rounded-xl p-4 bg-destructive/5 space-y-2">
+                        <div className="flex items-start gap-2">
+                          <AlertCircle className="w-5 h-5 text-destructive flex-shrink-0 mt-0.5" />
+                          <div className="flex-1">
+                            <p className="font-medium text-sm text-destructive">Erro ao instalar modelo</p>
+                            <p className="text-xs text-destructive/80 mt-1">{localInstallError}</p>
+                          </div>
+                        </div>
+                      </div>
+                    )}
+                  </>
+                )}
+              </div>
+              
+              <div className="bg-muted/30 border border-border/50 rounded-lg p-3 text-xs text-muted-foreground">
+                <p className="font-medium mb-1">ℹ️ Modelos instalados localmente</p>
+                <p>Funcionam sem conexão à internet. O arquivo será copiado para o diretório do Ollama.</p>
+              </div>
+            </div>
+          </TabsContent>
+        </Tabs>
+
+        <DialogFooter>
+          <Button
+            variant="outline"
+            onClick={handleCancel}
+            disabled={isInstallingLocal}
+          >
+            <X className="mr-2 h-4 w-4" />
+            Cancelar
+          </Button>
+          {activeTab === "download" && (
+            <Button
+              onClick={() => {
+                if (isInstalled && !isDownloading) {
+                  handleSuccess(modelName.trim());
+                  onOpenChange(false);
+                } else {
+                  handleDownload();
+                }
+              }}
+              disabled={!isValid || isDownloading}
+            >
+              {isDownloading ? (
+                <>
+                  <Loader2 className="mr-2 h-4 w-4 animate-spin" />
+                  Baixando...
+                </>
+              ) : isInstalled ? (
+                <>
+                  Usar Modelo
+                </>
+              ) : (
+                <>
+                  <Download className="mr-2 h-4 w-4" />
+                  Baixar
+                </>
+              )}
+            </Button>
+          )}
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
+

components/chat/post-processing-panel.tsx

@@ -0,0 +1,127 @@
+'use client';
+
+import { ChevronDown, ChevronUp, Clock, CheckCircle2, XCircle, AlertCircle, Loader2 } from 'lucide-react';
+import { cn } from '@/lib/utils';
+import { useState } from 'react';
+
+export interface ProcessStep {
+  id: string;
+  label: string;
+  status: 'pending' | 'running' | 'completed' | 'error';
+  timestamp?: number;
+  duration?: number;
+  details?: string;
+  error?: string;
+}
+
+interface PostProcessingPanelProps {
+  steps: ProcessStep[];
+  className?: string;
+}
+
+export function PostProcessingPanel({ steps, className }: PostProcessingPanelProps) {
+  const [isExpanded, setIsExpanded] = useState(false);
+
+  if (!steps || steps.length === 0) {
+    return null;
+  }
+
+  const completedSteps = steps.filter(s => s.status === 'completed').length;
+  const hasErrors = steps.some(s => s.status === 'error');
+  const isRunning = steps.some(s => s.status === 'running');
+
+  const getStepIcon = (step: ProcessStep) => {
+    switch (step.status) {
+      case 'completed':
+        return <CheckCircle2 className="w-4 h-4 text-green-600 dark:text-green-400" />;
+      case 'error':
+        return <XCircle className="w-4 h-4 text-red-600 dark:text-red-400" />;
+      case 'running':
+        return <Loader2 className="w-4 h-4 text-primary animate-spin" />;
+      default:
+        return <Clock className="w-4 h-4 text-muted-foreground" />;
+    }
+  };
+
+  const formatDuration = (ms?: number) => {
+    if (!ms) return '';
+    if (ms < 1000) return `${ms}ms`;
+    return `${(ms / 1000).toFixed(1)}s`;
+  };
+
+  return (
+    <div className={cn("border-t border-muted bg-muted/20", className)}>
+      <button
+        onClick={() => setIsExpanded(!isExpanded)}
+        className="w-full px-6 py-3 flex items-center justify-between hover:bg-muted/40 transition-colors"
+      >
+        <div className="flex items-center gap-2">
+          <div className="flex items-center gap-1.5">
+            {hasErrors ? (
+              <AlertCircle className="w-4 h-4 text-red-600 dark:text-red-400" />
+            ) : isRunning ? (
+              <Loader2 className="w-4 h-4 text-primary animate-spin" />
+            ) : (
+              <CheckCircle2 className="w-4 h-4 text-green-600 dark:text-green-400" />
+            )}
+            <span className="text-sm font-medium">
+              Processo de Pensamento
+            </span>
+          </div>
+          <span className="text-xs text-muted-foreground">
+            ({completedSteps}/{steps.length} etapas)
+          </span>
+        </div>
+        {isExpanded ? (
+          <ChevronUp className="w-4 h-4 text-muted-foreground" />
+        ) : (
+          <ChevronDown className="w-4 h-4 text-muted-foreground" />
+        )}
+      </button>
+
+      {isExpanded && (
+        <div className="px-6 pb-4 space-y-3">
+          {steps.map((step, idx) => (
+            <div
+              key={step.id}
+              className={cn(
+                "p-3 rounded-lg border transition-all",
+                step.status === 'completed' && "bg-green-500/5 border-green-500/20",
+                step.status === 'error' && "bg-red-500/5 border-red-500/20",
+                step.status === 'running' && "bg-primary/5 border-primary/20",
+                step.status === 'pending' && "bg-muted/50 border-muted"
+              )}
+            >
+              <div className="flex items-start justify-between gap-3">
+                <div className="flex items-start gap-2 flex-1 min-w-0">
+                  {getStepIcon(step)}
+                  <div className="flex-1 min-w-0">
+                    <div className="flex items-center gap-2">
+                      <span className="text-sm font-medium">{step.label}</span>
+                      {step.duration && (
+                        <span className="text-xs text-muted-foreground">
+                          ({formatDuration(step.duration)})
+                        </span>
+                      )}
+                    </div>
+                    {step.details && (
+                      <p className="text-xs text-muted-foreground mt-1 whitespace-pre-wrap">
+                        {step.details}
+                      </p>
+                    )}
+                    {step.error && (
+                      <p className="text-xs text-red-600 dark:text-red-400 mt-1">
+                        {step.error}
+                      </p>
+                    )}
+                  </div>
+                </div>
+              </div>
+            </div>
+          ))}
+        </div>
+      )}
+    </div>
+  );
+}
+

components/chat/processing-indicator.tsx

@@ -0,0 +1,192 @@
+'use client';
+
+import { Search, Brain, Package, Loader2, CheckCircle2, Globe } from 'lucide-react';
+import { cn } from '@/lib/utils';
+import { useState, useEffect } from 'react';
+
+export type ProcessingStep = 
+  | 'collecting'
+  | 'processing'
+  | 'searching'
+  | 'preparing'
+  | 'streaming';
+
+interface ProcessingIndicatorProps {
+  currentStep: ProcessingStep;
+  progress?: number; // 0-100
+  sourcesCount?: number;
+}
+
+export function ProcessingIndicator({
+  currentStep,
+  progress = 0,
+  sourcesCount = 0,
+}: ProcessingIndicatorProps) {
+  const [isVisible, setIsVisible] = useState(false);
+
+  useEffect(() => {
+    // Fade-in animation
+    setIsVisible(true);
+  }, []);
+
+  const steps: Array<{
+    key: ProcessingStep;
+    label: string;
+    icon: React.ReactNode;
+    emoji: string;
+  }> = [
+    {
+      key: 'collecting',
+      label: 'Coletando Dados',
+      icon: <Search className="w-4 h-4" />,
+      emoji: '🔍',
+    },
+    {
+      key: 'processing',
+      label: 'Processando...',
+      icon: <Brain className="w-4 h-4" />,
+      emoji: '🤖',
+    },
+    {
+      key: 'searching',
+      label: sourcesCount > 0 ? `Buscando na Web (${sourcesCount} fontes)...` : 'Buscando na Web...',
+      icon: <Globe className="w-4 h-4" />,
+      emoji: '🌐',
+    },
+    {
+      key: 'preparing',
+      label: 'Preparando Contexto',
+      icon: <Package className="w-4 h-4" />,
+      emoji: '📦',
+    },
+    {
+      key: 'streaming',
+      label: 'Gerando Resposta...',
+      icon: <Loader2 className="w-4 h-4 animate-spin" />,
+      emoji: '💬',
+    },
+  ];
+
+  const currentStepIndex = steps.findIndex(s => s.key === currentStep);
+  const currentStepData = steps[currentStepIndex] || steps[0];
+
+  return (
+    <div
+      className={cn(
+        "mx-4 mb-3 px-4 py-3 rounded-lg border border-muted/50 bg-muted/20 transition-all duration-300",
+        isVisible ? "opacity-100 translate-y-0" : "opacity-0 -translate-y-2"
+      )}
+    >
+      {/* Card de Status Atual */}
+      <div className="flex items-center gap-3 mb-3">
+        <div className="flex-shrink-0">
+          <div className="relative w-10 h-10 rounded-full bg-primary/10 flex items-center justify-center">
+            {currentStep === 'collecting' && (
+              <div className="absolute inset-0 rounded-full border-2 border-primary/30 animate-ping" />
+            )}
+            {currentStep === 'processing' && (
+              <div className="absolute inset-0 rounded-full border-2 border-primary/30 animate-pulse" />
+            )}
+            {currentStep === 'searching' && (
+              <div className="absolute inset-0 rounded-full border-2 border-primary/30 animate-spin" style={{ animationDuration: '2s' }} />
+            )}
+            <span className="text-xl relative z-10">{currentStepData.emoji}</span>
+          </div>
+        </div>
+        <div className="flex-1 min-w-0">
+          <div className="text-sm font-medium text-foreground">
+            {currentStepData.label}
+          </div>
+          {progress > 0 && progress < 100 && (
+            <div className="mt-1.5 h-1.5 bg-muted rounded-full overflow-hidden">
+              <div
+                className="h-full bg-primary transition-all duration-300 ease-out"
+                style={{ width: `${progress}%` }}
+              />
+            </div>
+          )}
+        </div>
+      </div>
+
+      {/* Timeline Visual */}
+      <div className="hidden md:flex items-center gap-2 text-xs text-muted-foreground">
+        {steps.slice(0, currentStepIndex + 1).map((step, idx) => {
+          const isActive = idx === currentStepIndex;
+          const isPast = idx < currentStepIndex;
+
+          return (
+            <div key={step.key} className="flex items-center gap-1.5">
+              <div
+                className={cn(
+                  "flex items-center justify-center w-6 h-6 rounded-full transition-all duration-300",
+                  isPast && "bg-green-500/20 text-green-600 dark:text-green-400",
+                  isActive && "bg-primary/20 text-primary animate-pulse",
+                  !isActive && !isPast && "bg-muted text-muted-foreground"
+                )}
+              >
+                {isPast ? (
+                  <CheckCircle2 className="w-3 h-3" />
+                ) : isActive ? (
+                  <Loader2 className="w-3 h-3 animate-spin" />
+                ) : (
+                  step.icon
+                )}
+              </div>
+              <span
+                className={cn(
+                  "transition-colors duration-300",
+                  isActive && "text-foreground font-medium",
+                  isPast && "text-muted-foreground opacity-60"
+                )}
+              >
+                {step.label.split(' ')[0]} {/* Mostrar apenas primeira palavra na timeline */}
+              </span>
+              {idx < currentStepIndex && (
+                <div className="w-6 h-px bg-muted mx-1" />
+              )}
+            </div>
+          );
+        })}
+      </div>
+
+      {/* Timeline Vertical para Mobile */}
+      <div className="md:hidden space-y-2">
+        {steps.slice(0, currentStepIndex + 1).map((step, idx) => {
+          const isActive = idx === currentStepIndex;
+          const isPast = idx < currentStepIndex;
+
+          return (
+            <div key={step.key} className="flex items-center gap-2">
+              <div
+                className={cn(
+                  "flex items-center justify-center w-5 h-5 rounded-full transition-all",
+                  isPast && "bg-green-500/20 text-green-600 dark:text-green-400",
+                  isActive && "bg-primary/20 text-primary animate-pulse",
+                  !isActive && !isPast && "bg-muted text-muted-foreground"
+                )}
+              >
+                {isPast ? (
+                  <CheckCircle2 className="w-3 h-3" />
+                ) : isActive ? (
+                  <Loader2 className="w-3 h-3 animate-spin" />
+                ) : (
+                  step.icon
+                )}
+              </div>
+              <span
+                className={cn(
+                  "text-xs transition-colors",
+                  isActive && "text-foreground font-medium",
+                  isPast && "text-muted-foreground opacity-60"
+                )}
+              >
+                {step.label}
+              </span>
+            </div>
+          );
+        })}
+      </div>
+    </div>
+  );
+}
+

components/chat/prompt-generator.tsx

@@ -2,6 +2,7 @@ import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, D
 import { Button } from "@/components/ui/button";
 import { Textarea } from "@/components/ui/textarea";
 import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
+import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip";
 import { Sparkles, Loader2 } from "lucide-react";
 import { useState, useEffect } from "react";
 import { usePromptGenerator } from "@/hooks/use-prompt-generator";
@@ -92,30 +93,54 @@ export function PromptGeneratorDialog({ defaultModel, onPromptGenerated }: Promp
             <label htmlFor="model-select" className="text-sm font-medium">
               Modelo para Geração
             </label>
-            <Select 
-              value={selectedModel || undefined} 
-              onValueChange={setSelectedModel}
-              disabled={loading || models.length === 0}
-            >
-              <SelectTrigger id="model-select">
-                <SelectValue placeholder={
-                  loading 
-                    ? "Carregando modelos..." 
-                    : models.length === 0 
-                      ? "Nenhum modelo disponível" 
-                      : "Selecione um modelo..."
-                } />
-              </SelectTrigger>
-              <SelectContent>
-                {models.length === 0 ? (
-                  <SelectItem value="" disabled>Nenhum modelo disponível</SelectItem>
-                ) : (
-                  models.map(m => (
-                    <SelectItem key={m.name} value={m.name}>{m.name}</SelectItem>
-                  ))
-                )}
-              </SelectContent>
-            </Select>
+            <TooltipProvider>
+              <Select 
+                value={selectedModel || undefined} 
+                onValueChange={setSelectedModel}
+                disabled={loading || models.length === 0}
+              >
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <SelectTrigger id="model-select" className="min-w-0 max-w-full">
+                      <SelectValue placeholder={
+                        loading 
+                          ? "Carregando modelos..." 
+                          : models.length === 0 
+                            ? "Nenhum modelo disponível" 
+                            : "Selecione um modelo..."
+                      } className="truncate" />
+                    </SelectTrigger>
+                  </TooltipTrigger>
+                  {selectedModel && (
+                    <TooltipContent side="top" className="max-w-[70vw] break-words">
+                      <p className="text-sm">{selectedModel}</p>
+                    </TooltipContent>
+                  )}
+                </Tooltip>
+                <SelectContent className="max-w-[90vw]">
+                  {models.length === 0 ? (
+                    <SelectItem value="" disabled>Nenhum modelo disponível</SelectItem>
+                  ) : (
+                    models.map(m => (
+                      <Tooltip key={m.name}>
+                        <TooltipTrigger asChild>
+                          <SelectItem value={m.name} className="min-w-0">
+                            <span className="truncate block" style={{ maxWidth: '70vw' }}>
+                              {m.name}
+                            </span>
+                          </SelectItem>
+                        </TooltipTrigger>
+                        {m.name.length > 40 && (
+                          <TooltipContent side="right" className="max-w-[70vw] break-words">
+                            <p className="text-sm">{m.name}</p>
+                          </TooltipContent>
+                        )}
+                      </Tooltip>
+                    ))
+                  )}
+                </SelectContent>
+              </Select>
+            </TooltipProvider>
             <p className="text-xs text-muted-foreground">
               Recomendado: Modelos com boa capacidade de instrução (ex: Llama 3, Mistral).
             </p>
@@ -130,7 +155,7 @@ export function PromptGeneratorDialog({ defaultModel, onPromptGenerated }: Promp
               value={goal}
               onChange={(e) => setGoal(e.target.value)}
               placeholder="Ex: Quero um assistente especialista em Python que explique conceitos complexos de forma simples..."
-              className="min-h-[150px]"
+              className="min-h-[160px]"
               disabled={isGenerating}
             />
           </div>

components/chat/reasoning-chain.tsx

@@ -0,0 +1,134 @@
+'use client';
+
+import { 
+  Loader2, 
+  CheckCircle2,
+  Circle,
+  Search,
+  Globe,
+  Brain,
+  Package,
+  BookOpen
+} from 'lucide-react';
+import { cn } from '@/lib/utils';
+import type { ThinkingMessageMetadata } from '@/hooks/use-chat';
+import { SourcesCompact } from './sources-compact';
+
+interface ReasoningChainProps {
+  steps: ThinkingMessageMetadata[];
+  searchQueries?: string[];
+  className?: string;
+}
+
+export function ReasoningChain({ steps, searchQueries = [], className }: ReasoningChainProps) {
+  const hasActiveStep = steps.some(step => step.status === 'running');
+  const allSources = steps
+    .flatMap(step => step.sources || [])
+    .filter((source, index, self) => 
+      index === self.findIndex(s => s.url === source.url)
+    );
+
+  const getStepIcon = (step: ThinkingMessageMetadata) => {
+    const isRunning = step.status === 'running';
+    const isCompleted = step.status === 'completed';
+    const isError = step.status === 'error';
+
+    if (isError) {
+      return null; // Não mostrar ícone para erros, apenas texto
+    }
+
+    if (isCompleted) {
+      return <CheckCircle2 className="w-3.5 h-3.5 text-muted-foreground/60" />;
+    }
+
+    if (isRunning) {
+      return <Loader2 className="w-3.5 h-3.5 text-muted-foreground/60 animate-spin" />;
+    }
+
+    // Ícone baseado no tipo de step
+    switch (step.stepType) {
+      case 'preprocessing':
+        return <Brain className="w-3.5 h-3.5 text-muted-foreground/60" />;
+      case 'web-research':
+        return <Search className="w-3.5 h-3.5 text-muted-foreground/60" />;
+      case 'sources-found':
+        return <Globe className="w-3.5 h-3.5 text-muted-foreground/60" />;
+      case 'processing':
+        return <Brain className="w-3.5 h-3.5 text-muted-foreground/60" />;
+      case 'response-generation':
+        return <Loader2 className="w-3.5 h-3.5 text-muted-foreground/60 animate-spin" />;
+      default:
+        return <Search className="w-3.5 h-3.5 text-muted-foreground/60" />;
+    }
+  };
+
+  return (
+    <div className={cn("mb-6 space-y-3", className)}>
+      {/* Header: "Working..." com spinner sutil */}
+      <div className="flex items-center gap-2 text-sm text-muted-foreground">
+        <Circle className="w-2 h-2 fill-current animate-pulse" />
+        <span>Working...</span>
+      </div>
+      
+      {/* Lista vertical de steps - texto simples */}
+      <div className="space-y-1.5 pl-6">
+        {steps.map((step, index) => {
+          const isRunning = step.status === 'running';
+          const isCompleted = step.status === 'completed';
+          const isError = step.status === 'error';
+          
+          return (
+            <div 
+              key={`${step.stepType}-${step.timestamp}`}
+              className={cn(
+                "reasoning-step flex items-center gap-2 text-sm",
+                isError 
+                  ? "text-destructive/80" 
+                  : isCompleted 
+                    ? "text-muted-foreground/60" 
+                    : "text-muted-foreground/80"
+              )}
+              style={{ animationDelay: `${index * 100}ms` }}
+            >
+              {getStepIcon(step)}
+              <span>{step.label}</span>
+              {step.details && (
+                <span className="text-xs text-muted-foreground/50 ml-1">
+                  {step.details}
+                </span>
+              )}
+            </div>
+          );
+        })}
+      </div>
+      
+      {/* Pills de busca - cápsulas sutis */}
+      {searchQueries.length > 0 && (
+        <div className="flex flex-wrap gap-2 pl-6">
+          <span className="text-xs text-muted-foreground/60">Searching:</span>
+          {searchQueries.map((query, index) => (
+            <span 
+              key={index}
+              className="text-xs font-mono px-2 py-1 bg-white/5 dark:bg-white/5 border border-white/10 dark:border-white/10 rounded-full text-muted-foreground/70"
+            >
+              {query}
+            </span>
+          ))}
+        </div>
+      )}
+      
+      {/* Fontes em revisão */}
+      {allSources.length > 0 && (
+        <div className="pl-6">
+          <div className="flex items-center gap-2 mb-2">
+            <span className="text-xs text-muted-foreground/60">
+              Reviewing sources - {allSources.length}
+            </span>
+          </div>
+          <SourcesCompact sources={allSources} />
+        </div>
+      )}
+    </div>
+  );
+}
+

components/chat/search-progress.tsx

@@ -0,0 +1,149 @@
+import { Search, BookOpen, CheckCircle2, AlertCircle, Loader2, ChevronDown, ChevronUp } from 'lucide-react';
+import { Button } from '@/components/ui/button';
+import { cn } from '@/lib/utils';
+import { ScrapedContent } from '@/services/webSearch';
+import { SearchStatus } from '@/hooks/use-web-search';
+import { useState } from 'react';
+import { ExternalLink } from 'lucide-react';
+
+interface SearchProgressProps {
+  status: SearchStatus;
+  query: string;
+  sources: ScrapedContent[];
+  error: string | null;
+  isExpanded?: boolean;
+  onToggleExpand?: () => void;
+}
+
+export function SearchProgress({
+  status,
+  query,
+  sources,
+  error,
+  isExpanded: controlledExpanded,
+  onToggleExpand,
+}: SearchProgressProps) {
+  const [internalExpanded, setInternalExpanded] = useState(false);
+  const isExpanded = controlledExpanded !== undefined ? controlledExpanded : internalExpanded;
+  const toggleExpanded = onToggleExpand || (() => setInternalExpanded(!internalExpanded));
+
+  if (status === 'idle') return null;
+
+  const getStatusIcon = () => {
+    switch (status) {
+      case 'searching':
+        return <Search className="w-3 h-3 text-muted-foreground" />;
+      case 'scraping':
+        return <BookOpen className="w-3 h-3 text-muted-foreground" />;
+      case 'completed':
+        return <CheckCircle2 className="w-3 h-3 text-muted-foreground" />;
+      case 'error':
+        return <AlertCircle className="w-3 h-3 text-destructive" />;
+      default:
+        return null;
+    }
+  };
+
+  const getStatusText = () => {
+    switch (status) {
+      case 'searching':
+        return `Pesquisando: "${query}"`;
+      case 'scraping':
+        return `Lendo ${sources.length || '...'} fonte${sources.length !== 1 ? 's' : ''}`;
+      case 'completed':
+        return `✓ ${sources.length} fonte${sources.length !== 1 ? 's' : ''} consultada${sources.length !== 1 ? 's' : ''}`;
+      case 'error':
+        return `Erro: ${error || 'Falha ao buscar'}`;
+      default:
+        return '';
+    }
+  };
+
+  const getFaviconUrl = (url: string): string => {
+    try {
+      const domain = new URL(url).hostname;
+      return `https://www.google.com/s2/favicons?domain=${domain}&sz=16`;
+    } catch {
+      return '';
+    }
+  };
+
+  const isActive = status === 'searching' || status === 'scraping';
+  const showExpandButton = status === 'completed' && sources.length > 0;
+
+  return (
+    <div className={cn(
+      "mx-6 mb-2 transition-all",
+      status === 'completed' && "opacity-70 hover:opacity-100",
+      status === 'error' && "text-destructive"
+    )}>
+      <div className="p-2 pl-3 border-l-2 border-muted flex items-center justify-between gap-2 text-xs">
+        <div className="flex items-center gap-2 flex-1 min-w-0">
+          <div className="flex-shrink-0">
+            {isActive ? (
+              <Loader2 className="w-3 h-3 animate-spin text-muted-foreground" />
+            ) : (
+              <div className="w-3 h-3">
+                {getStatusIcon()}
+              </div>
+            )}
+          </div>
+            <span className="text-muted-foreground truncate">
+              {getStatusText()}
+            </span>
+          </div>
+          
+          {showExpandButton && (
+            <Button
+              variant="ghost"
+              size="sm"
+              onClick={toggleExpanded}
+              className="h-8 w-8 p-0 flex-shrink-0"
+            >
+              {isExpanded ? (
+                <ChevronUp className="w-4 h-4" />
+              ) : (
+                <ChevronDown className="w-4 h-4" />
+              )}
+            </Button>
+          )}
+      </div>
+
+        {/* Lista de fontes expandida */}
+        {isExpanded && sources.length > 0 && (
+          <div className="mt-2 ml-6 pl-3 border-l space-y-2">
+            {sources.map((source, idx) => (
+              <div
+                key={idx}
+                className="flex items-start gap-2 p-2 rounded-md bg-muted/30 hover:bg-muted/50 transition-colors"
+              >
+                <img
+                  src={getFaviconUrl(source.url)}
+                  alt=""
+                  className="w-4 h-4 rounded mt-0.5 flex-shrink-0"
+                  onError={(e) => {
+                    (e.target as HTMLImageElement).style.display = 'none';
+                  }}
+                />
+                <div className="flex-1 min-w-0">
+                  <a
+                    href={source.url}
+                    target="_blank"
+                    rel="noopener noreferrer"
+                    className="text-xs font-medium text-primary hover:underline line-clamp-1 flex items-center gap-1"
+                  >
+                    {source.title || source.url}
+                    <ExternalLink className="w-3 h-3 flex-shrink-0" />
+                  </a>
+                  <p className="text-xs text-muted-foreground truncate mt-0.5">
+                    {source.url}
+                  </p>
+                </div>
+              </div>
+            ))}
+          </div>
+        )}
+    </div>
+  );
+}
+

components/chat/sidebar-list.tsx

@@ -0,0 +1,290 @@
+import { SessionSummary } from "@/hooks/use-chat-storage";
+import { Button } from "@/components/ui/button";
+import { Input } from "@/components/ui/input";
+import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip";
+import { Trash2, Plus, MessageSquare, Search, X, Loader2, ChevronUp, ChevronDown } from "lucide-react";
+import { cn } from "@/lib/utils";
+import { useState, useEffect, useRef } from "react";
+
+interface SidebarListProps {
+  sessions: SessionSummary[];
+  currentSessionId: string | null;
+  onSelectSession: (id: string) => void;
+  onDeleteSession: (id: string) => void;
+  onNewChat: () => void;
+  onSearch?: (query: string) => void;
+  isSearching?: boolean;
+  searchQuery?: string;
+  onNavigateMatch?: (sessionId: string, direction: 'prev' | 'next') => void;
+}
+
+function formatDate(dateString: string) {
+  const date = new Date(dateString);
+  const now = new Date();
+  const diffInMs = now.getTime() - date.getTime();
+  const diffInHours = diffInMs / (1000 * 60 * 60);
+  const diffInDays = diffInMs / (1000 * 60 * 60 * 24);
+
+  // Se foi hoje, mostrar apenas hora
+  if (diffInHours < 24) {
+    return new Intl.DateTimeFormat('pt-BR', {
+      hour: '2-digit',
+      minute: '2-digit'
+    }).format(date);
+  }
+
+  // Se foi ontem
+  if (diffInDays < 2) {
+    return 'Ontem';
+  }
+
+  // Se foi nos últimos 7 dias
+  if (diffInDays < 7) {
+    return new Intl.DateTimeFormat('pt-BR', {
+      weekday: 'short'
+    }).format(date);
+  }
+
+  // Caso contrário, mostrar data completa
+  return new Intl.DateTimeFormat('pt-BR', {
+    day: '2-digit',
+    month: '2-digit',
+    year: diffInDays > 365 ? 'numeric' : undefined
+  }).format(date);
+}
+
+export function SidebarList({ 
+  sessions, 
+  currentSessionId, 
+  onSelectSession, 
+  onDeleteSession,
+  onNewChat,
+  onSearch,
+  isSearching = false,
+  searchQuery = '',
+  onNavigateMatch
+}: SidebarListProps) {
+  const [localSearchInput, setLocalSearchInput] = useState('');
+  const searchTimeoutRef = useRef<NodeJS.Timeout | null>(null);
+  const DEBOUNCE_MS = 300;
+  
+  useEffect(() => {
+    // Limpar timeout anterior
+    if (searchTimeoutRef.current) {
+      clearTimeout(searchTimeoutRef.current);
+    }
+    
+    // Se query vazia, limpar busca imediatamente
+    if (!localSearchInput.trim()) {
+      if (onSearch) {
+        onSearch('');
+      }
+      return;
+    }
+    
+    // Debounce: aguardar antes de buscar
+    searchTimeoutRef.current = setTimeout(() => {
+      if (onSearch && localSearchInput.trim().length >= 2) {
+        onSearch(localSearchInput.trim());
+      }
+    }, DEBOUNCE_MS);
+    
+    // Cleanup
+    return () => {
+      if (searchTimeoutRef.current) {
+        clearTimeout(searchTimeoutRef.current);
+      }
+    };
+  }, [localSearchInput, onSearch]);
+  
+  const handleClearSearch = () => {
+    setLocalSearchInput('');
+    if (onSearch) {
+      onSearch('');
+    }
+  };
+  
+  return (
+    <TooltipProvider delayDuration={300}>
+      <div className="flex flex-col h-full border-r border-sidebar-border bg-sidebar w-full overflow-x-hidden">
+        {/* Header com busca e botão Nova Conversa */}
+        <div className="p-3 border-b border-sidebar-border flex-shrink-0 space-y-2.5">
+          {/* Campo de busca */}
+          <div className="relative">
+            <Search className="absolute left-2.5 top-1/2 -translate-y-1/2 w-4 h-4 text-muted-foreground" />
+            <Input
+              type="text"
+              placeholder="Buscar conversas..."
+              value={localSearchInput}
+              onChange={(e) => setLocalSearchInput(e.target.value)}
+              className="pl-8 pr-8 h-9 text-sm"
+            />
+            {isSearching && (
+              <Loader2 className="absolute right-2.5 top-1/2 -translate-y-1/2 w-4 h-4 text-muted-foreground animate-spin" />
+            )}
+            {localSearchInput && !isSearching && (
+              <button
+                onClick={handleClearSearch}
+                className="absolute right-2.5 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground transition-colors"
+                aria-label="Limpar busca"
+              >
+                <X className="w-4 h-4" />
+              </button>
+            )}
+          </div>
+          
+          {/* Botão Nova Conversa */}
+          <Button 
+            onClick={onNewChat} 
+            className="w-full justify-start gap-2 text-sm font-medium h-9" 
+            variant="outline"
+          >
+            <Plus className="w-4 h-4 shrink-0" />
+            <span className="truncate">Nova Conversa</span>
+          </Button>
+        </div>
+        
+        {/* Lista de chats com scroll customizado */}
+        <div className="flex-1 overflow-y-auto min-h-0 sidebar-chat-list">
+          <div className="p-2 space-y-1.5">
+            {sessions.length === 0 && (
+              <div className="flex flex-col items-center justify-center py-12 px-4 text-center">
+                <MessageSquare className="w-10 h-10 text-muted-foreground/40 mb-3" />
+                <p className="text-sm text-muted-foreground">
+                  {searchQuery ? 'Nenhuma conversa encontrada' : 'Nenhuma conversa salva'}
+                </p>
+                <p className="text-xs text-muted-foreground/70 mt-1">
+                  {searchQuery 
+                    ? 'Tente buscar por outro termo'
+                    : 'Comece uma nova conversa para começar'}
+                </p>
+              </div>
+            )}
+            
+            {sessions.map((session) => {
+              const isSelected = currentSessionId === session.id;
+              const showTooltip = session.title.length > 30;
+              
+              return (
+                <Tooltip key={session.id} delayDuration={300} disableHoverableContent>
+                  <TooltipTrigger asChild>
+                    <div
+                      className={cn(
+                        "sidebar-chat-item group relative bg-card border rounded-lg cursor-pointer transition-all duration-200",
+                        "hover:shadow-md hover:border-primary/20 hover:-translate-y-0.5",
+                        "focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2",
+                        isSelected && "border-primary/40 shadow-sm bg-accent/50",
+                        "active:scale-[0.98]"
+                      )}
+                      onClick={() => onSelectSession(session.id)}
+                      role="button"
+                      tabIndex={0}
+                      onKeyDown={(e) => {
+                        if (e.key === 'Enter' || e.key === ' ') {
+                          e.preventDefault();
+                          onSelectSession(session.id);
+                        }
+                      }}
+                    >
+                      {/* Conteúdo do card */}
+                      <div className="sidebar-chat-item-content p-2.5">
+                        {/* Ícone/Emoji */}
+                        <div className="shrink-0 flex items-center justify-center w-8 h-8 rounded-md bg-muted/50 text-base">
+                          {session.emoji || '💬'}
+                        </div>
+                        
+                        {/* Texto do card */}
+                        <div className="sidebar-chat-item-text flex-1 min-w-0">
+                          <h3 className="sidebar-chat-item-title text-sm font-medium text-card-foreground leading-tight mb-0.5">
+                            {session.title}
+                          </h3>
+                          
+                          <div className="flex items-center gap-2">
+                            <p className="sidebar-chat-item-date text-xs text-muted-foreground">
+                              {formatDate(session.updated_at)}
+                            </p>
+                            {searchQuery && session.match_count !== undefined && session.match_count > 0 && (
+                              <span className="text-xs px-1.5 py-0.5 rounded bg-primary/10 text-primary font-medium">
+                                {session.match_count} {session.match_count === 1 ? 'ocorrência' : 'ocorrências'}
+                              </span>
+                            )}
+                          </div>
+                        </div>
+                        
+                        {/* Navegação de matches - aparece apenas quando selecionado e há busca ativa */}
+                        {isSelected && searchQuery && session.match_count !== undefined && session.match_count > 0 && onNavigateMatch && (
+                          <div className="flex flex-col gap-0.5 mr-1">
+                            <Button
+                              variant="ghost"
+                              size="icon"
+                              className="h-6 w-6 shrink-0"
+                              onClick={(e) => {
+                                e.stopPropagation();
+                                e.preventDefault();
+                                onNavigateMatch(session.id, 'prev');
+                              }}
+                              aria-label="Ocorrência anterior"
+                            >
+                              <ChevronUp className="w-3.5 h-3.5" />
+                            </Button>
+                            <Button
+                              variant="ghost"
+                              size="icon"
+                              className="h-6 w-6 shrink-0"
+                              onClick={(e) => {
+                                e.stopPropagation();
+                                e.preventDefault();
+                                onNavigateMatch(session.id, 'next');
+                              }}
+                              aria-label="Próxima ocorrência"
+                            >
+                              <ChevronDown className="w-3.5 h-3.5" />
+                            </Button>
+                          </div>
+                        )}
+                        
+                        {/* Botão de deletar - aparece no hover */}
+                        <Button
+                          variant="ghost"
+                          size="icon"
+                          className={cn(
+                            "h-7 w-7 shrink-0 transition-all duration-200",
+                            "opacity-0 group-hover:opacity-100",
+                            "hover:bg-destructive/10 hover:text-destructive",
+                            "active:scale-95"
+                          )}
+                          onClick={(e) => {
+                            e.stopPropagation();
+                            e.preventDefault();
+                            onDeleteSession(session.id);
+                          }}
+                          aria-label={`Deletar conversa "${session.title}"`}
+                        >
+                          <Trash2 className="w-3.5 h-3.5" />
+                        </Button>
+                      </div>
+                      
+                      {/* Indicador de seleção */}
+                      {isSelected && (
+                        <div className="absolute left-0 top-0 bottom-0 w-1 bg-primary rounded-l-lg" />
+                      )}
+                    </div>
+                  </TooltipTrigger>
+                  {showTooltip && (
+                    <TooltipContent side="right" className="max-w-xs">
+                      <p className="break-words font-medium">{session.title}</p>
+                      <p className="text-xs text-muted-foreground mt-1">
+                        {formatDate(session.updated_at)}
+                      </p>
+                    </TooltipContent>
+                  )}
+                </Tooltip>
+              );
+            })}
+          </div>
+        </div>
+      </div>
+    </TooltipProvider>
+  );
+}
+

components/chat/sources-carousel.tsx

@@ -0,0 +1,154 @@
+'use client';
+
+import { Card } from '@/components/ui/card';
+import { ExternalLink } from 'lucide-react';
+import { ScrapedContent } from '@/services/webSearch';
+import { useRef, useState } from 'react';
+import { cn } from '@/lib/utils';
+
+interface SourcesCarouselProps {
+  sources: ScrapedContent[];
+}
+
+export function SourcesCarousel({ sources }: SourcesCarouselProps) {
+  if (!sources || sources.length === 0) return null;
+
+  const scrollContainerRef = useRef<HTMLDivElement>(null);
+  const [isDragging, setIsDragging] = useState(false);
+  const [startX, setStartX] = useState(0);
+  const [scrollLeft, setScrollLeft] = useState(0);
+  const [hasMoved, setHasMoved] = useState(false);
+
+  // Handlers para mouse drag
+  const handleMouseDown = (e: React.MouseEvent) => {
+    if (!scrollContainerRef.current) return;
+    setIsDragging(true);
+    setStartX(e.pageX - scrollContainerRef.current.offsetLeft);
+    setScrollLeft(scrollContainerRef.current.scrollLeft);
+    setHasMoved(false);
+  };
+
+  const handleMouseMove = (e: React.MouseEvent) => {
+    if (!isDragging || !scrollContainerRef.current) return;
+    e.preventDefault();
+    const x = e.pageX - scrollContainerRef.current.offsetLeft;
+    const walk = (x - startX) * 1.5; // Velocidade do scroll
+    scrollContainerRef.current.scrollLeft = scrollLeft - walk;
+    
+    // Se moveu mais de 3px, marca como movimento (não clique)
+    if (Math.abs(walk) > 3) {
+      setHasMoved(true);
+    }
+  };
+
+  const handleMouseUp = () => {
+    setIsDragging(false);
+    // Resetar após um pequeno delay
+    setTimeout(() => setHasMoved(false), 150);
+  };
+
+  const handleMouseLeave = () => {
+    setIsDragging(false);
+    setTimeout(() => setHasMoved(false), 150);
+  };
+
+  // Handlers para touch drag (mobile)
+  const handleTouchStart = (e: React.TouchEvent) => {
+    if (!scrollContainerRef.current) return;
+    setIsDragging(true);
+    setStartX(e.touches[0].pageX - scrollContainerRef.current.offsetLeft);
+    setScrollLeft(scrollContainerRef.current.scrollLeft);
+    setHasMoved(false);
+  };
+
+  const handleTouchMove = (e: React.TouchEvent) => {
+    if (!isDragging || !scrollContainerRef.current) return;
+    const x = e.touches[0].pageX - scrollContainerRef.current.offsetLeft;
+    const walk = (x - startX) * 1.5;
+    scrollContainerRef.current.scrollLeft = scrollLeft - walk;
+    
+    if (Math.abs(walk) > 3) {
+      setHasMoved(true);
+    }
+  };
+
+  const handleTouchEnd = () => {
+    setIsDragging(false);
+    setTimeout(() => setHasMoved(false), 150);
+  };
+
+  // Prevenir navegação do link durante drag
+  const handleLinkClick = (e: React.MouseEvent<HTMLAnchorElement>) => {
+    if (hasMoved || isDragging) {
+      e.preventDefault();
+      e.stopPropagation();
+    }
+  };
+
+  return (
+    <div className="w-full max-w-3xl mx-auto mb-4 mt-2">
+      <h3 className="text-xs font-semibold text-muted-foreground uppercase tracking-wider mb-3 px-1">
+        Fontes Analisadas
+      </h3>
+      
+      <div 
+        ref={scrollContainerRef}
+        className={cn(
+          "flex gap-3 overflow-x-auto pb-4 scrollbar-hide -mx-4 px-4 sm:mx-0 sm:px-0 mask-fade-sides",
+          "cursor-grab active:cursor-grabbing select-none touch-pan-x",
+          isDragging && "cursor-grabbing"
+        )}
+        onMouseDown={handleMouseDown}
+        onMouseMove={handleMouseMove}
+        onMouseUp={handleMouseUp}
+        onMouseLeave={handleMouseLeave}
+        onTouchStart={handleTouchStart}
+        onTouchMove={handleTouchMove}
+        onTouchEnd={handleTouchEnd}
+        style={{ 
+          scrollBehavior: isDragging ? 'auto' : 'smooth',
+          WebkitOverflowScrolling: 'touch' // Smooth scrolling no iOS
+        }}
+      >
+        {sources.map((source, idx) => {
+            const hostname = new URL(source.url).hostname.replace('www.', '');
+            const faviconUrl = `https://www.google.com/s2/favicons?domain=${hostname}&sz=32`;
+            
+            return (
+                <a 
+                    key={idx} 
+                    href={source.url} 
+                    target="_blank" 
+                    rel="noopener noreferrer"
+                    onClick={handleLinkClick}
+                    className="flex-none w-40 group transition-all hover:-translate-y-1 block"
+                    style={{ pointerEvents: (isDragging || hasMoved) ? 'none' : 'auto' }}
+                >
+                    <Card className="h-24 p-3 flex flex-col justify-between hover:shadow-md hover:border-primary/20 transition-colors bg-card/50 backdrop-blur-sm cursor-pointer overflow-hidden">
+                        <div className="flex items-start justify-between min-h-0 flex-shrink-0">
+                             <img 
+                                src={faviconUrl} 
+                                alt="" 
+                                className="w-4 h-4 rounded-sm opacity-70 group-hover:opacity-100 transition-opacity flex-shrink-0" 
+                                onError={(e) => (e.target as HTMLImageElement).style.display = 'none'}
+                            />
+                            <ExternalLink className="w-3 h-3 text-muted-foreground opacity-0 group-hover:opacity-100 transition-opacity flex-shrink-0 ml-1" />
+                        </div>
+                        
+                        <div className="space-y-1 min-w-0 flex-1 overflow-hidden flex flex-col justify-end">
+                            <div className="text-xs font-medium leading-tight line-clamp-2 text-card-foreground/90 group-hover:text-primary transition-colors break-words overflow-hidden text-ellipsis">
+                                {source.title}
+                            </div>
+                            <div className="text-[10px] text-muted-foreground truncate overflow-hidden text-ellipsis">
+                                {hostname}
+                            </div>
+                        </div>
+                    </Card>
+                </a>
+            );
+        })}
+      </div>
+    </div>
+  );
+}
+

components/chat/sources-compact.tsx

@@ -0,0 +1,78 @@
+'use client';
+
+import { ExternalLink } from 'lucide-react';
+import { cn } from '@/lib/utils';
+
+interface Source {
+  url: string;
+  title?: string;
+}
+
+interface SourcesCompactProps {
+  sources: Source[];
+  className?: string;
+}
+
+export function SourcesCompact({ sources, className }: SourcesCompactProps) {
+  const getFaviconUrl = (url: string): string => {
+    try {
+      const domain = new URL(url).hostname;
+      return `https://www.google.com/s2/favicons?domain=${domain}&sz=16`;
+    } catch {
+      return '';
+    }
+  };
+
+  const getDomain = (url: string): string => {
+    try {
+      return new URL(url).hostname.replace(/^www\./, '');
+    } catch {
+      return url.replace(/^https?:\/\//, '').replace(/^www\./, '').split('/')[0];
+    }
+  };
+
+  if (!sources || sources.length === 0) {
+    return null;
+  }
+
+  return (
+    <div className={cn("flex gap-3 overflow-x-auto py-2 sources-scrollbar", className)}>
+      {sources.map((source, idx) => {
+        const faviconUrl = getFaviconUrl(source.url);
+        const domain = getDomain(source.url);
+        
+        return (
+          <a
+            key={idx}
+            href={source.url}
+            target="_blank"
+            rel="noopener noreferrer"
+            className="group flex items-center gap-2 px-3 py-2 rounded-lg bg-muted/30 hover:bg-muted/50 border border-transparent hover:border-muted transition-all flex-shrink-0"
+          >
+            {faviconUrl ? (
+              <img
+                src={faviconUrl}
+                alt=""
+                className="w-4 h-4 rounded flex-shrink-0"
+                onError={(e) => {
+                  (e.target as HTMLImageElement).style.display = 'none';
+                }}
+              />
+            ) : (
+              <ExternalLink className="w-4 h-4 text-muted-foreground/60 flex-shrink-0" />
+            )}
+            <div className="min-w-0">
+              <div className="text-xs font-medium truncate max-w-[140px] text-foreground/90">
+                {source.title || domain}
+              </div>
+              <div className="text-[10px] text-muted-foreground truncate">
+                {domain}
+              </div>
+            </div>
+          </a>
+        );
+      })}
+    </div>
+  );
+}
+

components/chat/sources-display.tsx

@@ -0,0 +1,119 @@
+'use client';
+
+import { ExternalLink, Copy, Check, Globe } from 'lucide-react';
+import { cn } from '@/lib/utils';
+import { useState, useMemo } from 'react';
+import type { ScrapedContent } from '@/services/webSearch';
+
+interface SourcesDisplayProps {
+  sources: ScrapedContent[];
+  className?: string;
+}
+
+export function SourcesDisplay({ sources, className }: SourcesDisplayProps) {
+  const [copiedIndex, setCopiedIndex] = useState<number | null>(null);
+
+  if (!sources || sources.length === 0) {
+    return null;
+  }
+
+  const copyToClipboard = async (url: string, index: number) => {
+    try {
+      await navigator.clipboard.writeText(url);
+      setCopiedIndex(index);
+      setTimeout(() => setCopiedIndex(null), 2000);
+    } catch (error) {
+      console.error('Failed to copy URL:', error);
+    }
+  };
+
+  const getFaviconUrl = (url: string): string => {
+    try {
+      const domain = new URL(url).hostname;
+      return `https://www.google.com/s2/favicons?domain=${domain}&sz=16`;
+    } catch {
+      return '';
+    }
+  };
+
+  const getDomain = (url: string): string => {
+    try {
+      return new URL(url).hostname.replace(/^www\./, '');
+    } catch {
+      return url.replace(/^https?:\/\//, '').replace(/^www\./, '').split('/')[0];
+    }
+  };
+
+  return (
+    <div className={cn("px-6 py-4 border-t border-muted/50", className)}>
+      <div className="flex items-center gap-2 mb-3">
+        <Globe className="w-4 h-4 text-muted-foreground/60" />
+        <p className="text-xs font-medium text-muted-foreground/80">
+          Fontes consultadas ({sources.length}):
+        </p>
+      </div>
+      
+      <div className="flex gap-3 overflow-x-auto py-2 sources-scrollbar">
+        {sources.map((source, idx) => {
+          const faviconUrl = getFaviconUrl(source.url);
+          const domain = getDomain(source.url);
+          const isCopied = copiedIndex === idx;
+          
+          return (
+            <a
+              key={idx}
+              href={source.url}
+              target="_blank"
+              rel="noopener noreferrer"
+              className="group flex items-center gap-2 px-3 py-2 rounded-lg bg-muted/30 hover:bg-muted/50 border border-transparent hover:border-muted transition-all flex-shrink-0"
+              onClick={(e) => {
+                // Permitir que o botão de copiar funcione sem navegar
+                if ((e.target as HTMLElement).closest('button')) {
+                  e.preventDefault();
+                }
+              }}
+            >
+              {faviconUrl ? (
+                <img
+                  src={faviconUrl}
+                  alt=""
+                  className="w-4 h-4 rounded flex-shrink-0"
+                  onError={(e) => {
+                    (e.target as HTMLImageElement).style.display = 'none';
+                  }}
+                />
+              ) : (
+                <Globe className="w-4 h-4 text-muted-foreground/60 flex-shrink-0" />
+              )}
+              <div className="min-w-0">
+                <div className="text-xs font-medium truncate max-w-[140px] text-foreground/90">
+                  {source.title || domain}
+                </div>
+                <div className="text-[10px] text-muted-foreground truncate">
+                  {domain}
+                </div>
+              </div>
+              <button
+                onClick={(e) => {
+                  e.preventDefault();
+                  e.stopPropagation();
+                  copyToClipboard(source.url, idx);
+                }}
+                className="ml-1 p-1 rounded hover:bg-muted/50 transition-colors opacity-0 group-hover:opacity-100"
+                title="Copiar URL"
+                aria-label="Copiar URL"
+              >
+                {isCopied ? (
+                  <Check className="w-3 h-3 text-green-600 dark:text-green-400" />
+                ) : (
+                  <Copy className="w-3 h-3 text-muted-foreground" />
+                )}
+              </button>
+            </a>
+          );
+        })}
+      </div>
+    </div>
+  );
+}
+

components/chat/streaming-indicator.tsx

@@ -0,0 +1,43 @@
+'use client';
+
+import { Loader2, Sparkles } from 'lucide-react';
+import { cn } from '@/lib/utils';
+import { useEffect, useState } from 'react';
+
+interface StreamingIndicatorProps {
+  isStreaming: boolean;
+  className?: string;
+}
+
+export function StreamingIndicator({ isStreaming, className }: StreamingIndicatorProps) {
+  const [dots, setDots] = useState('');
+
+  useEffect(() => {
+    if (!isStreaming) {
+      setDots('');
+      return;
+    }
+
+    const interval = setInterval(() => {
+      setDots(prev => {
+        if (prev === '...') return '';
+        return prev + '.';
+      });
+    }, 500);
+
+    return () => clearInterval(interval);
+  }, [isStreaming]);
+
+  if (!isStreaming) return null;
+
+  return (
+    <div className={cn("flex items-center gap-2 text-xs text-muted-foreground px-6 py-2", className)}>
+      <div className="relative">
+        <Sparkles className="w-3 h-3 text-primary animate-pulse" />
+        <div className="absolute inset-0 bg-primary/20 rounded-full animate-ping" />
+      </div>
+      <span>Streaming{dots}</span>
+    </div>
+  );
+}
+

components/chat/system-panel.tsx

@@ -1,13 +1,18 @@
 import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
 import { Progress } from "@/components/ui/progress";
 import { Button } from "@/components/ui/button";
-import { Trash2, HardDrive, Cpu, Database } from "lucide-react";
+import { Badge } from "@/components/ui/badge";
+import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip";
+import { Trash2, HardDrive, Cpu, Database, Upload, Globe } from "lucide-react";
 import { useSystemMonitor } from "@/hooks/use-system-monitor";
 import { useLocalModels } from "@/hooks/use-local-models";
+import { useState } from "react";
+import { ModelDownloadDialog } from "./model-download-dialog";
 
 export function SystemPanel() {
   const stats = useSystemMonitor();
   const { models, deleteModel, refresh } = useLocalModels();
+  const [showDownloadDialog, setShowDownloadDialog] = useState(false);
 
   const ramUsagePercent = stats 
     ? (stats.memory_used / stats.memory_total) * 100 
@@ -63,43 +68,106 @@ export function SystemPanel() {
           <h3 className="text-sm font-medium text-muted-foreground uppercase tracking-wider">
             Modelos Instalados
           </h3>
-          <Button variant="ghost" size="sm" onClick={refresh} className="h-6 text-xs">
-            Atualizar
-          </Button>
+          <div className="flex items-center gap-2">
+            <Button 
+              variant="ghost" 
+              size="sm" 
+              onClick={() => setShowDownloadDialog(true)}
+              className="h-6 text-xs"
+            >
+              <Upload className="w-3 h-3 mr-1" />
+              Adicionar
+            </Button>
+            <Button variant="ghost" size="sm" onClick={refresh} className="h-6 text-xs">
+              Atualizar
+            </Button>
+          </div>
         </div>
 
         <div className="space-y-2">
-          {models.map((model) => (
-            <Card key={model.id} className="overflow-hidden">
-              <CardContent className="p-3 flex items-center justify-between">
-                <div className="min-w-0">
-                  <div className="font-medium text-sm truncate" title={model.name}>
-                    {model.name}
+          {models.map((model) => {
+            // Tentar detectar se é modelo local/GGUF (heurística: modelos GGUF geralmente têm nomes específicos)
+            // Por enquanto, vamos mostrar todos como disponíveis
+            const isLocal = model.name.toLowerCase().includes('gguf') || 
+                           model.name.toLowerCase().endsWith('.gguf');
+            
+            return (
+              <Card key={model.id} className="overflow-hidden hover:bg-muted/50 transition-colors">
+                <CardContent className="p-3 flex items-center justify-between gap-2">
+                  <div className="min-w-0 flex-1">
+                    <div className="flex items-center gap-2 mb-1">
+                      <div className="font-medium text-sm truncate" title={model.name}>
+                        {model.name}
+                      </div>
+                      {isLocal && (
+                        <Badge variant="secondary" className="text-xs px-1.5 py-0 h-5">
+                          <Upload className="w-2.5 h-2.5 mr-1" />
+                          Local
+                        </Badge>
+                      )}
+                    </div>
+                    <div className="text-xs text-muted-foreground flex items-center gap-2">
+                      <Database className="w-3 h-3" />
+                      {model.size}
+                    </div>
                   </div>
-                  <div className="text-xs text-muted-foreground flex items-center gap-2">
-                    <Database className="w-3 h-3" />
-                    {model.size}
-                  </div>
-                </div>
-                <Button 
-                  variant="ghost" 
-                  size="icon" 
-                  className="h-8 w-8 text-destructive hover:text-destructive hover:bg-destructive/10"
-                  onClick={() => deleteModel(model.name)}
-                >
-                  <Trash2 className="w-4 h-4" />
-                </Button>
-              </CardContent>
-            </Card>
-          ))}
+                  <TooltipProvider>
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <Button 
+                          variant="ghost" 
+                          size="icon" 
+                          className="h-8 w-8 text-destructive hover:text-destructive hover:bg-destructive/10 flex-shrink-0"
+                          onClick={async () => {
+                            if (confirm(`Tem certeza que deseja remover o modelo "${model.name}"?`)) {
+                              try {
+                                await deleteModel(model.name);
+                              } catch (error) {
+                                console.error('Erro ao remover modelo:', error);
+                              }
+                            }
+                          }}
+                        >
+                          <Trash2 className="w-4 h-4" />
+                        </Button>
+                      </TooltipTrigger>
+                      <TooltipContent>
+                        <p>Remover modelo</p>
+                      </TooltipContent>
+                    </Tooltip>
+                  </TooltipProvider>
+                </CardContent>
+              </Card>
+            );
+          })}
           {models.length === 0 && (
-            <div className="text-center text-sm text-muted-foreground py-4">
-              Nenhum modelo encontrado.
+            <div className="text-center text-sm text-muted-foreground py-8 space-y-2">
+              <p>Nenhum modelo encontrado.</p>
+              <Button 
+                variant="outline" 
+                size="sm" 
+                onClick={() => setShowDownloadDialog(true)}
+                className="mt-2"
+              >
+                <Upload className="w-4 h-4 mr-2" />
+                Instalar Modelo
+              </Button>
             </div>
           )}
         </div>
       </div>
+      
+      <ModelDownloadDialog
+        open={showDownloadDialog}
+        onOpenChange={setShowDownloadDialog}
+        onSuccess={(modelName) => {
+          refresh();
+          setShowDownloadDialog(false);
+        }}
+      />
     </div>
   );
 }
 
+
+

components/chat/thinking-indicator.tsx

@@ -0,0 +1,117 @@
+import { Search, BookOpen, Brain, Loader2, CheckCircle2 } from 'lucide-react';
+import { cn } from '@/lib/utils';
+
+export type ThinkingStep = 
+  | 'analyzing'
+  | 'planning'
+  | 'searching' 
+  | 'reading'
+  | 'validating'
+  | 'formulating'
+  | 'complete';
+
+interface ThinkingIndicatorProps {
+  currentStep: ThinkingStep;
+  searchQuery?: string;
+  sourcesRead?: number;
+  totalSources?: number;
+  planSize?: number;
+  onComplete?: () => void;
+}
+
+export function ThinkingIndicator({
+  currentStep,
+  searchQuery,
+  sourcesRead = 0,
+  totalSources = 0,
+  planSize = 0,
+}: ThinkingIndicatorProps) {
+  const steps: Array<{
+    key: ThinkingStep;
+    label: string;
+    icon: React.ReactNode;
+  }> = [
+    {
+      key: 'analyzing',
+      label: 'Analisando...',
+      icon: <Brain className="w-3 h-3" />,
+    },
+    {
+      key: 'planning',
+      label: 'Planejando pesquisa...',
+      icon: <Brain className="w-3 h-3" />,
+    },
+    {
+      key: 'searching',
+      label: planSize > 0 ? `Pesquisando (${planSize} tópicos)...` : 'Pesquisando na web...',
+      icon: <Search className="w-3 h-3" />,
+    },
+    {
+      key: 'reading',
+      label: 'Lendo conteúdo...',
+      icon: <BookOpen className="w-3 h-3" />,
+    },
+    {
+      key: 'validating',
+      label: 'Validando dados...',
+      icon: <CheckCircle2 className="w-3 h-3" />,
+    },
+    {
+      key: 'formulating',
+      label: 'Formulando resposta...',
+      icon: <Brain className="w-3 h-3" />,
+    },
+  ];
+
+  const currentStepIndex = steps.findIndex(s => s.key === currentStep);
+  const isComplete = currentStep === 'complete';
+
+  if (isComplete) {
+    return null; // Não mostrar quando completo
+  }
+
+  return (
+    <div className="px-6 py-4 border-b border-muted/50 bg-muted/20">
+      <div className="flex items-center gap-4 text-xs text-muted-foreground">
+        {steps.slice(0, currentStepIndex + 1).map((step, idx) => {
+          const isActive = idx === currentStepIndex;
+          const isPast = idx < currentStepIndex;
+
+          return (
+            <div key={step.key} className="flex items-center gap-2">
+              <div
+                className={cn(
+                  "flex items-center justify-center w-5 h-5 rounded-full transition-colors",
+                  isPast && "bg-green-500/20 text-green-600 dark:text-green-400",
+                  isActive && "bg-blue-500/20 text-blue-600 dark:text-blue-400 animate-pulse",
+                  !isActive && !isPast && "bg-muted text-muted-foreground"
+                )}
+              >
+                {isPast ? (
+                  <CheckCircle2 className="w-3 h-3" />
+                ) : isActive ? (
+                  <Loader2 className="w-3 h-3 animate-spin" />
+                ) : (
+                  step.icon
+                )}
+              </div>
+              <span
+                className={cn(
+                  "transition-colors",
+                  isActive && "text-foreground font-medium",
+                  isPast && "text-muted-foreground line-through opacity-60"
+                )}
+              >
+                {step.label}
+              </span>
+              {idx < steps.length - 1 && (
+                <div className="w-8 h-px bg-muted mx-1" />
+              )}
+            </div>
+          );
+        })}
+      </div>
+    </div>
+  );
+}
+

components/chat/web-search-status.tsx

@@ -0,0 +1,164 @@
+import { Search, BookOpen, CheckCircle2, AlertCircle, ExternalLink, Loader2 } from 'lucide-react';
+import { Button } from '@/components/ui/button';
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+import { cn } from '@/lib/utils';
+import { ScrapedContent } from '@/services/webSearch';
+import { SearchStatus } from '@/hooks/use-web-search';
+import { useState } from 'react';
+import { Dialog, DialogContent, DialogDescription, DialogHeader, DialogTitle, DialogTrigger } from '@/components/ui/dialog';
+import ReactMarkdown from 'react-markdown';
+import remarkGfm from 'remark-gfm';
+
+interface WebSearchStatusProps {
+  status: SearchStatus;
+  query: string;
+  sources: ScrapedContent[];
+  error: string | null;
+  onViewSources?: () => void;
+}
+
+export function WebSearchStatus({
+  status,
+  query,
+  sources,
+  error,
+}: WebSearchStatusProps) {
+  const [isSourcesOpen, setIsSourcesOpen] = useState(false);
+
+  if (status === 'idle') return null;
+
+  const getStatusIcon = () => {
+    switch (status) {
+      case 'searching':
+        return <Search className="w-4 h-4 animate-pulse" />;
+      case 'scraping':
+        return <BookOpen className="w-4 h-4 animate-pulse" />;
+      case 'completed':
+        return <CheckCircle2 className="w-4 h-4 text-green-500" />;
+      case 'error':
+        return <AlertCircle className="w-4 h-4 text-red-500" />;
+      default:
+        return null;
+    }
+  };
+
+  const getStatusText = () => {
+    switch (status) {
+      case 'searching':
+        return `🔍 Pesquisando por: "${query}"...`;
+      case 'scraping':
+        return `📖 Lendo ${sources.length || '...'} fonte${sources.length !== 1 ? 's' : ''}...`;
+      case 'completed':
+        return `✅ ${sources.length} fonte${sources.length !== 1 ? 's' : ''} encontrada${sources.length !== 1 ? 's' : ''}`;
+      case 'error':
+        return `❌ Erro: ${error || 'Falha ao buscar'}`;
+      default:
+        return '';
+    }
+  };
+
+  const getFaviconUrl = (url: string): string => {
+    try {
+      const domain = new URL(url).hostname;
+      return `https://www.google.com/s2/favicons?domain=${domain}&sz=16`;
+    } catch {
+      return '';
+    }
+  };
+
+  return (
+    <>
+      <Card className={cn(
+        "mx-4 mb-2 border-l-4",
+        status === 'completed' && "border-l-green-500",
+        status === 'error' && "border-l-red-500",
+        (status === 'searching' || status === 'scraping') && "border-l-blue-500"
+      )}>
+        <CardContent className="p-4">
+          <div className="flex items-center justify-between gap-2">
+            <div className="flex items-center gap-2 flex-1 min-w-0">
+              <div className="flex-shrink-0">
+                {status === 'searching' || status === 'scraping' ? (
+                  <Loader2 className="w-4 h-4 animate-spin text-blue-500" />
+                ) : (
+                  getStatusIcon()
+                )}
+              </div>
+              <span className="text-sm font-medium truncate">
+                {getStatusText()}
+              </span>
+            </div>
+            
+            {status === 'completed' && sources.length > 0 && (
+              <div className="flex items-center gap-2 flex-shrink-0">
+                {/* Favicons das fontes */}
+                <div className="flex items-center gap-1">
+                  {sources.slice(0, 3).map((source, idx) => (
+                    <img
+                      key={idx}
+                      src={getFaviconUrl(source.url)}
+                      alt=""
+                      className="w-4 h-4 rounded"
+                      onError={(e) => {
+                        (e.target as HTMLImageElement).style.display = 'none';
+                      }}
+                    />
+                  ))}
+                  {sources.length > 3 && (
+                    <span className="text-xs text-muted-foreground">+{sources.length - 3}</span>
+                  )}
+                </div>
+                
+                <Dialog open={isSourcesOpen} onOpenChange={setIsSourcesOpen}>
+                  <DialogTrigger asChild>
+                    <Button variant="ghost" size="sm" className="h-7 text-xs">
+                      Ver Fontes
+                    </Button>
+                  </DialogTrigger>
+                  <DialogContent className="max-w-3xl max-h-[80vh] overflow-hidden flex flex-col">
+                    <DialogHeader>
+                      <DialogTitle>Fontes Encontradas</DialogTitle>
+                      <DialogDescription>
+                        {sources.length} fonte{sources.length !== 1 ? 's' : ''} analisada{sources.length !== 1 ? 's' : ''} para: "{query}"
+                      </DialogDescription>
+                    </DialogHeader>
+                    <div className="flex-1 overflow-y-auto space-y-4 pr-2">
+                      {sources.map((source, idx) => (
+                        <Card key={idx} className="border">
+                          <CardContent className="p-4">
+                            <div className="flex items-start justify-between gap-2 mb-2">
+                              <div className="flex-1 min-w-0">
+                                <h4 className="font-semibold text-sm mb-1 line-clamp-2">
+                                  {source.title}
+                                </h4>
+                                <a
+                                  href={source.url}
+                                  target="_blank"
+                                  rel="noopener noreferrer"
+                                  className="text-xs text-muted-foreground hover:text-primary flex items-center gap-1 truncate"
+                                >
+                                  {source.url}
+                                  <ExternalLink className="w-3 h-3" />
+                                </a>
+                              </div>
+                            </div>
+                            <div className="prose dark:prose-invert prose-sm max-w-none max-h-[300px] overflow-y-auto">
+                              <ReactMarkdown remarkPlugins={[remarkGfm]}>
+                                {source.markdown}
+                              </ReactMarkdown>
+                            </div>
+                          </CardContent>
+                        </Card>
+                      ))}
+                    </div>
+                  </DialogContent>
+                </Dialog>
+              </div>
+            )}
+          </div>
+        </CardContent>
+      </Card>
+    </>
+  );
+}
+

components/modals/install-modal.tsx

@@ -1,3 +1,6 @@
+'use client';
+
+import { useState, useEffect } from "react";
 import {
   Dialog,
   DialogContent,
@@ -7,7 +10,12 @@ import {
 } from "@/components/ui/dialog"
 import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"
 import { Button } from "@/components/ui/button"
-import { Download } from "lucide-react"
+import { Progress } from "@/components/ui/progress"
+import { Download, Loader2, AlertCircle, CheckCircle2, Play } from "lucide-react"
+import { useOllamaDownload } from "@/hooks/use-ollama-download"
+import { useToast } from "@/hooks/use-toast"
+import { useOperatingSystem } from "@/hooks/use-operating-system"
+import type { OS } from "@/lib/download-utils"
 
 interface InstallModalProps {
   open: boolean;
@@ -15,6 +23,162 @@ interface InstallModalProps {
 }
 
 export function InstallModal({ open, onCheckAgain }: InstallModalProps) {
+  const { os: detectedOS } = useOperatingSystem();
+  const [activeTab, setActiveTab] = useState<OS>('mac');
+  const downloadState = useOllamaDownload();
+  const { toast } = useToast();
+
+  // Detectar OS e definir aba ativa quando modal abrir
+  useEffect(() => {
+    if (open && detectedOS) {
+      setActiveTab(detectedOS);
+    }
+  }, [open, detectedOS]);
+
+  // Resetar estado quando o modal abrir
+  useEffect(() => {
+    if (open) {
+      downloadState.reset();
+      // Verificar se já existe download para a tab ativa
+      downloadState.checkExistingDownload(activeTab);
+    } else {
+      // Parar verificação automática quando modal fechar
+      downloadState.stopAutoCheck();
+    }
+  }, [open, activeTab]);
+
+  // Verificar download existente ao mudar de tab
+  useEffect(() => {
+    if (open) {
+      downloadState.checkExistingDownload(activeTab);
+    }
+  }, [activeTab, open]);
+
+  // Escutar evento de Ollama instalado
+  useEffect(() => {
+    if (!open) return;
+
+    const handleOllamaInstalled = () => {
+      // Ollama foi encontrado, verificar novamente para atualizar o estado
+      onCheckAgain();
+    };
+
+    window.addEventListener('ollama-installed', handleOllamaInstalled);
+    return () => {
+      window.removeEventListener('ollama-installed', handleOllamaInstalled);
+    };
+  }, [open, onCheckAgain]);
+
+  // Mostrar toast quando houver erro
+  useEffect(() => {
+    if (downloadState.downloadError) {
+      toast({
+        title: 'Erro no download',
+        description: downloadState.downloadError,
+        variant: 'destructive',
+      });
+    }
+  }, [downloadState.downloadError, toast]);
+
+  const handleDownload = async (os: OS) => {
+    await downloadState.handleDownload(os);
+  };
+
+  const handleInstall = async () => {
+    try {
+      await downloadState.handleInstall();
+      toast({
+        title: 'Instalador iniciado',
+        description: 'O instalador foi aberto. Siga as instruções na tela.',
+      });
+    } catch (error) {
+      toast({
+        title: 'Erro ao executar instalador',
+        description: error instanceof Error ? error.message : 'Erro desconhecido',
+        variant: 'destructive',
+      });
+    }
+  };
+
+  const DownloadButton = ({ os, label }: { os: OS; label: string }) => {
+    const isActive = activeTab === os;
+    const isDownloading = downloadState.isDownloading && isActive;
+    const hasDownloaded = downloadState.filePath !== null && isActive;
+
+    if (hasDownloaded && !isDownloading) {
+      return (
+        <Button 
+          variant="default" 
+          className="w-full" 
+          onClick={handleInstall}
+        >
+          <Play className="mr-2 h-4 w-4" />
+          Instalar Ollama
+        </Button>
+      );
+    }
+
+    return (
+      <Button 
+        variant="outline" 
+        className="w-full" 
+        onClick={() => handleDownload(os)}
+        disabled={isDownloading}
+      >
+        {isDownloading ? (
+          <>
+            <Loader2 className="mr-2 h-4 w-4 animate-spin" />
+            {downloadState.downloadStatus || 'Baixando...'}
+          </>
+        ) : (
+          <>
+            <Download className="mr-2 h-4 w-4" />
+            {label}
+          </>
+        )}
+      </Button>
+    );
+  };
+
+  const DownloadProgress = ({ os }: { os: OS }) => {
+    const isActive = activeTab === os;
+    const isDownloading = downloadState.isDownloading && isActive;
+    const hasDownloaded = downloadState.filePath !== null && isActive;
+
+    if (!isDownloading && !hasDownloaded) {
+      return null;
+    }
+
+    return (
+      <div className="space-y-2">
+        {isDownloading && (
+          <>
+            <div className="flex items-center justify-between text-sm">
+              <span className="text-muted-foreground">
+                {downloadState.downloadStatus || 'Baixando...'}
+              </span>
+              <span className="font-medium">{downloadState.downloadProgress}%</span>
+            </div>
+            <Progress value={downloadState.downloadProgress} className="h-2" />
+          </>
+        )}
+        {hasDownloaded && !isDownloading && (
+          <div className="flex items-start gap-2 p-3 bg-green-50 dark:bg-green-950/20 rounded-md">
+            <CheckCircle2 className="h-4 w-4 mt-0.5 text-green-600 dark:text-green-400" />
+            <div className="text-sm flex-1">
+              <p className="font-medium text-green-900 dark:text-green-100">
+                Download concluído
+              </p>
+              <p className="text-green-700 dark:text-green-300">
+                Clique em "Instalar Ollama" para iniciar a instalação.
+              </p>
+            </div>
+          </div>
+        )}
+      </div>
+    );
+  };
+
   return (
     <Dialog open={open}>
       <DialogContent className="sm:max-w-[600px]">
@@ -22,29 +186,41 @@ export function InstallModal({ open, onCheckAgain }: InstallModalProps) {
           <DialogTitle>Ollama não encontrado</DialogTitle>
           <DialogDescription>
             Para usar o OllaHub, você precisa ter o Ollama instalado no seu sistema.
-            Siga os passos abaixo para o seu sistema operacional.
+            Baixe e instale o Ollama usando os passos abaixo.
           </DialogDescription>
         </DialogHeader>
-        <Tabs defaultValue="mac" className="w-full">
+        <Tabs value={activeTab} onValueChange={(v) => setActiveTab(v as OS)} className="w-full">
           <TabsList className="grid w-full grid-cols-3">
             <TabsTrigger value="mac">macOS</TabsTrigger>
             <TabsTrigger value="linux">Linux</TabsTrigger>
             <TabsTrigger value="windows">Windows</TabsTrigger>
           </TabsList>
+          
           <TabsContent value="mac" className="space-y-4 py-4">
             <div className="space-y-2">
               <h3 className="font-medium">1. Download e Instalação</h3>
-              <Button variant="outline" className="w-full" asChild>
-                <a href="https://ollama.com/download/Ollama-darwin.zip" target="_blank" rel="noopener noreferrer">
-                  <Download className="mr-2 h-4 w-4" />
-                  Baixar para macOS
-                </a>
-              </Button>
+              <DownloadButton os="mac" label="Baixar para macOS" />
+              <DownloadProgress os="mac" />
             </div>
-            <div className="text-sm text-muted-foreground">
-              Após instalar, abra o terminal e digite <code>ollama serve</code> se necessário.
+            {downloadState.downloadError && activeTab === 'mac' && (
+              <div className="flex items-start gap-2 p-3 bg-red-50 dark:bg-red-950/20 rounded-md">
+                <AlertCircle className="h-4 w-4 mt-0.5 text-red-600 dark:text-red-400" />
+                <div className="text-sm">
+                  <p className="font-medium text-red-900 dark:text-red-100">Erro no download</p>
+                  <p className="text-red-700 dark:text-red-300">
+                    {downloadState.downloadError}
+                  </p>
+                </div>
+              </div>
+            )}
+            <div className="space-y-2 text-sm text-muted-foreground">
+              <p>Após instalar, o Ollama será iniciado automaticamente. Se necessário, abra o terminal e digite <code className="bg-muted px-1 rounded">ollama serve</code>.</p>
+              <p className="font-medium text-foreground">
+                💡 Dica: Após concluir a instalação, você pode fechar qualquer janela de chat aberta pelo Ollama e continuar aqui no OllaHub.
+              </p>
             </div>
           </TabsContent>
+          
           <TabsContent value="linux" className="space-y-4 py-4">
             <div className="space-y-2">
               <h3 className="font-medium">Instalação via Terminal</h3>
@@ -52,35 +228,88 @@ export function InstallModal({ open, onCheckAgain }: InstallModalProps) {
                 <code className="text-sm break-all">curl -fsSL https://ollama.com/install.sh | sh</code>
               </div>
             </div>
-             <div className="space-y-2">
+            <div className="space-y-2">
+              <h3 className="font-medium">Ou baixar e instalar via interface</h3>
+              <DownloadButton os="linux" label="Baixar Script de Instalação" />
+              <DownloadProgress os="linux" />
+            </div>
+            {downloadState.downloadError && activeTab === 'linux' && (
+              <div className="flex items-start gap-2 p-3 bg-red-50 dark:bg-red-950/20 rounded-md">
+                <AlertCircle className="h-4 w-4 mt-0.5 text-red-600 dark:text-red-400" />
+                <div className="text-sm">
+                  <p className="font-medium text-red-900 dark:text-red-100">Erro no download</p>
+                  <p className="text-red-700 dark:text-red-300">
+                    {downloadState.downloadError}
+                  </p>
+                </div>
+              </div>
+            )}
+            <div className="space-y-2">
               <h3 className="font-medium">Comando Manual</h3>
-               <div className="text-sm text-muted-foreground">
+              <div className="text-sm text-muted-foreground">
                 Ou consulte <a href="https://ollama.com/download/linux" className="underline text-primary" target="_blank" rel="noopener noreferrer">ollama.com/download/linux</a> para instruções manuais.
-               </div>
+              </div>
+              <p className="text-sm font-medium text-foreground">
+                💡 Dica: Após concluir a instalação, você pode fechar qualquer janela de chat aberta pelo Ollama e continuar aqui no OllaHub.
+              </p>
             </div>
           </TabsContent>
+          
           <TabsContent value="windows" className="space-y-4 py-4">
             <div className="space-y-2">
               <h3 className="font-medium">1. Download do Instalador</h3>
-              <Button variant="outline" className="w-full" asChild>
-                <a href="https://ollama.com/download/OllamaSetup.exe" target="_blank" rel="noopener noreferrer">
-                  <Download className="mr-2 h-4 w-4" />
-                  Baixar para Windows
-                </a>
-              </Button>
+              <DownloadButton os="windows" label="Baixar para Windows" />
+              <DownloadProgress os="windows" />
             </div>
-            <div className="text-sm text-muted-foreground">
-              Execute o instalador baixado e siga as instruções na tela.
+            {downloadState.downloadError && activeTab === 'windows' && (
+              <div className="flex items-start gap-2 p-3 bg-red-50 dark:bg-red-950/20 rounded-md">
+                <AlertCircle className="h-4 w-4 mt-0.5 text-red-600 dark:text-red-400" />
+                <div className="text-sm">
+                  <p className="font-medium text-red-900 dark:text-red-100">Erro no download</p>
+                  <p className="text-red-700 dark:text-red-300">
+                    {downloadState.downloadError}
+                  </p>
+                </div>
+              </div>
+            )}
+            <div className="space-y-2 text-sm text-muted-foreground">
+              <p>Após clicar em "Instalar Ollama", o instalador será aberto. Siga as instruções na tela para completar a instalação.</p>
+              <p className="font-medium text-foreground">
+                💡 Dica: Após concluir a instalação, você pode fechar qualquer janela de chat aberta pelo Ollama e continuar aqui no OllaHub.
+              </p>
             </div>
           </TabsContent>
         </Tabs>
+        
+        {/* Status de verificação automática */}
+        {downloadState.isChecking && (
+          <div className="flex items-start gap-2 p-3 bg-blue-50 dark:bg-blue-950/20 rounded-md mt-4">
+            <Loader2 className="h-4 w-4 mt-0.5 text-blue-600 dark:text-blue-400 animate-spin" />
+            <div className="text-sm flex-1">
+              <p className="font-medium text-blue-900 dark:text-blue-100">
+                Verificando instalação do Ollama...
+              </p>
+              <p className="text-blue-700 dark:text-blue-300">
+                {downloadState.checkStatus || 'Aguardando instalação ser concluída...'}
+              </p>
+              <p className="text-xs text-blue-600 dark:text-blue-400 mt-1">
+                Esta verificação continuará em segundo plano até encontrar o Ollama.
+              </p>
+            </div>
+          </div>
+        )}
+
         <div className="flex justify-end gap-2 mt-4">
-            <Button onClick={onCheckAgain}>
-                Verificar Novamente
+            <Button 
+              onClick={() => {
+                // Chamar verificação completa (instalação + execução)
+                onCheckAgain();
+              }}
+            >
+              Verificar Novamente
             </Button>
         </div>
       </DialogContent>
     </Dialog>
   )
 }
-

components/modals/update-dialog.tsx

@@ -0,0 +1,153 @@
+'use client';
+
+import { useState } from 'react';
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from '@/components/ui/dialog';
+import { Button } from '@/components/ui/button';
+import { Progress } from '@/components/ui/progress';
+import { Checkbox } from '@/components/ui/checkbox';
+import { Label } from '@/components/ui/label';
+import { Download, Loader2, X, Sparkles } from 'lucide-react';
+import { useAppUpdater } from '@/hooks/use-app-updater';
+import { useSettingsStore } from '@/store/settings-store';
+
+interface UpdateDialogProps {
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+}
+
+export function UpdateDialog({ open, onOpenChange }: UpdateDialogProps) {
+  const {
+    currentVersion,
+    updateAvailable,
+    updateInfo,
+    isChecking,
+    isDownloading,
+    downloadProgress,
+    error,
+    installUpdate,
+  } = useAppUpdater();
+
+  const [dontShowAgain, setDontShowAgain] = useState(false);
+  const setAutoCheckUpdates = useSettingsStore((state) => state.setAutoCheckUpdates);
+
+  const handleInstall = async () => {
+    if (dontShowAgain) {
+      setAutoCheckUpdates(false);
+    }
+    await installUpdate();
+  };
+
+  const handleClose = () => {
+    if (dontShowAgain) {
+      setAutoCheckUpdates(false);
+    }
+    onOpenChange(false);
+  };
+
+  if (!updateAvailable && !isChecking) {
+    return null;
+  }
+
+  return (
+    <Dialog open={open && updateAvailable} onOpenChange={handleClose}>
+      <DialogContent className="sm:max-w-[500px]">
+        <DialogHeader>
+          <DialogTitle className="flex items-center gap-2">
+            <Sparkles className="h-5 w-5 text-primary" />
+            Atualização Disponível
+          </DialogTitle>
+          <DialogDescription>
+            Uma nova versão do OllaHub está disponível para download.
+          </DialogDescription>
+        </DialogHeader>
+
+        <div className="space-y-4">
+          <div className="space-y-2">
+            <div className="flex items-center justify-between text-sm">
+              <span className="text-muted-foreground">Versão Atual</span>
+              <span className="font-mono font-medium">{currentVersion}</span>
+            </div>
+            <div className="flex items-center justify-between text-sm">
+              <span className="text-muted-foreground">Nova Versão</span>
+              <span className="font-mono font-medium text-primary">
+                {updateInfo?.version}
+              </span>
+            </div>
+          </div>
+
+          {updateInfo?.body && (
+            <div className="p-3 bg-muted rounded-lg">
+              <p className="text-sm text-muted-foreground line-clamp-3">
+                {updateInfo.body}
+              </p>
+            </div>
+          )}
+
+          {isDownloading && (
+            <div className="space-y-2">
+              <div className="flex items-center justify-between text-sm">
+                <span className="text-muted-foreground">Baixando atualização...</span>
+                <span className="font-medium">{downloadProgress}%</span>
+              </div>
+              <Progress value={downloadProgress} className="h-2" />
+            </div>
+          )}
+
+          {error && (
+            <div className="p-3 bg-destructive/10 border border-destructive/20 rounded-lg">
+              <p className="text-sm text-destructive">{error}</p>
+            </div>
+          )}
+
+          <div className="flex items-center gap-2">
+            <Checkbox
+              id="dont-show-updates"
+              checked={dontShowAgain}
+              onCheckedChange={(checked) => setDontShowAgain(checked === true)}
+            />
+            <Label
+              htmlFor="dont-show-updates"
+              className="text-sm font-normal cursor-pointer"
+            >
+              Não verificar atualizações automaticamente
+            </Label>
+          </div>
+        </div>
+
+        <div className="flex gap-2 justify-end">
+          <Button
+            variant="outline"
+            onClick={handleClose}
+            disabled={isDownloading}
+          >
+            <X className="h-4 w-4 mr-2" />
+            Depois
+          </Button>
+          <Button
+            onClick={handleInstall}
+            disabled={isDownloading || isChecking}
+          >
+            {isDownloading ? (
+              <>
+                <Loader2 className="h-4 w-4 mr-2 animate-spin" />
+                Baixando...
+              </>
+            ) : (
+              <>
+                <Download className="h-4 w-4 mr-2" />
+                Atualizar Agora
+              </>
+            )}
+          </Button>
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+}
+

components/notifications/welcome-notification.tsx

@@ -0,0 +1,69 @@
+'use client';
+
+import { useState, useEffect } from 'react';
+import { X, Heart } from 'lucide-react';
+import { Button } from '@/components/ui/button';
+import { cn } from '@/lib/utils';
+
+export function WelcomeNotification() {
+  const [show, setShow] = useState(false);
+  const [mounted, setMounted] = useState(false);
+
+  useEffect(() => {
+    setMounted(true);
+    // Verificar se já foi mostrado
+    const welcomeShown = localStorage.getItem('ollahub_welcome_shown');
+    if (!welcomeShown) {
+      setShow(true);
+      // Marcar como mostrado
+      localStorage.setItem('ollahub_welcome_shown', 'true');
+      // Auto-fechar após 5 segundos
+      const timer = setTimeout(() => {
+        setShow(false);
+      }, 5000);
+      return () => clearTimeout(timer);
+    }
+  }, []);
+
+  if (!mounted || !show) {
+    return null;
+  }
+
+  return (
+    <div
+      className={cn(
+        "fixed top-4 left-1/2 -translate-x-1/2 z-50 w-full max-w-md",
+        "animate-in slide-in-from-top-5 fade-in duration-500"
+      )}
+    >
+      <div className="bg-primary text-primary-foreground rounded-lg shadow-lg p-4 mx-4">
+        <div className="flex items-start gap-3">
+          <Heart className="h-5 w-5 mt-0.5 flex-shrink-0" />
+          <div className="flex-1">
+            <h3 className="font-semibold text-sm mb-1">
+              Obrigado por usar o OllaHub! 🎉
+            </h3>
+            <p className="text-xs text-primary-foreground/90">
+              Estamos felizes em tê-lo conosco. Comece a explorar e aproveite sua experiência!
+            </p>
+          </div>
+          <Button
+            variant="ghost"
+            size="icon"
+            className="h-6 w-6 text-primary-foreground hover:bg-primary-foreground/20 flex-shrink-0"
+            onClick={() => setShow(false)}
+          >
+            <X className="h-4 w-4" />
+          </Button>
+        </div>
+      </div>
+    </div>
+  );
+}
+
+
+
+
+
+
+

components/python-bootstrap-progress.tsx

@@ -0,0 +1,97 @@
+'use client';
+
+import { usePythonBootstrap } from '@/hooks/use-python-bootstrap';
+import { Progress } from '@/components/ui/progress';
+import { Loader2, XCircle } from 'lucide-react';
+import { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card';
+
+const STAGE_LABELS: Record<string, string> = {
+  checking: 'Verificando',
+  downloading: 'Baixando',
+  extracting: 'Extraindo',
+  creating_venv: 'Criando ambiente virtual',
+  installing_pip: 'Instalando pip',
+  copying_scripts: 'Copiando scripts',
+  installing_deps: 'Instalando dependências',
+  validating: 'Validando',
+  done: 'Concluído',
+};
+
+export function PythonBootstrapProgress() {
+  const bootstrap = usePythonBootstrap();
+
+  // Se estiver completo e sem erro, não mostrar nada
+  if (bootstrap.isComplete && !bootstrap.error) {
+    return null;
+  }
+
+  // Se houver erro, mostrar alerta
+  if (bootstrap.error) {
+    return (
+      <div className="fixed inset-0 z-50 flex items-center justify-center bg-background/80 backdrop-blur-sm">
+        <div className="w-full max-w-md mx-4">
+          <Card className="border-destructive">
+            <CardHeader>
+              <CardTitle className="flex items-center gap-2 text-destructive">
+                <XCircle className="h-5 w-5" />
+                Erro no Bootstrap do Python
+              </CardTitle>
+              <CardDescription>
+                O aplicativo não pode funcionar sem o runtime Python
+              </CardDescription>
+            </CardHeader>
+            <CardContent className="space-y-4">
+              <div className="rounded-md bg-destructive/10 p-3">
+                <p className="text-sm text-destructive font-medium">{bootstrap.error}</p>
+              </div>
+              <p className="text-sm text-muted-foreground">
+                Por favor, reinicie o aplicativo ou verifique os logs para mais detalhes.
+              </p>
+            </CardContent>
+          </Card>
+        </div>
+      </div>
+    );
+  }
+
+  // Mostrar progresso durante bootstrap
+  const stageLabel = STAGE_LABELS[bootstrap.stage] || bootstrap.stage;
+  const progressValue = bootstrap.progress ?? 0;
+
+  return (
+    <div className="fixed inset-0 z-50 flex items-center justify-center bg-background/80 backdrop-blur-sm">
+      <div className="w-full max-w-md mx-4">
+        <Card>
+          <CardHeader>
+            <CardTitle className="flex items-center gap-3">
+              <Loader2 className="h-5 w-5 animate-spin text-primary" />
+              Inicializando Python Runtime
+            </CardTitle>
+            <CardDescription>
+              Configurando ambiente Python para scraping web
+            </CardDescription>
+          </CardHeader>
+          <CardContent className="space-y-4">
+            <div className="space-y-2">
+              <div className="flex justify-between text-sm">
+                <span className="text-muted-foreground">{stageLabel}</span>
+                {bootstrap.progress !== null && (
+                  <span className="text-muted-foreground">{Math.round(progressValue * 100)}%</span>
+                )}
+              </div>
+              
+              {bootstrap.progress !== null && (
+                <Progress value={progressValue * 100} className="h-2" />
+              )}
+              
+              <p className="text-sm text-muted-foreground mt-2">
+                {bootstrap.message}
+              </p>
+            </div>
+          </CardContent>
+        </Card>
+      </div>
+    </div>
+  );
+}
+

components/scraping-progress-indicator.tsx

@@ -0,0 +1,89 @@
+"use client";
+
+import { motion, AnimatePresence } from "framer-motion";
+import { Loader2, Search, FileText } from "lucide-react";
+import { useWebSearch } from "@/hooks/use-web-search";
+
+export function ScrapingProgressIndicator() {
+  const webSearch = useWebSearch();
+  
+  // Não mostrar se idle ou completed
+  if (webSearch.status === 'idle' || webSearch.status === 'completed') {
+    return null;
+  }
+  
+  return (
+    <AnimatePresence>
+      <motion.div 
+        initial={{ opacity: 0, y: 20, scale: 0.9 }}
+        animate={{ opacity: 1, y: 0, scale: 1 }}
+        exit={{ opacity: 0, y: 20, scale: 0.9 }}
+        transition={{ duration: 0.2, ease: "easeOut" }}
+        className="fixed bottom-24 right-6 bg-card border border-primary/20 rounded-lg p-4 shadow-lg backdrop-blur-sm z-50 min-w-[280px]"
+      >
+        <div className="flex items-start gap-3">
+          {/* Icon animado */}
+          <div className="flex-shrink-0 mt-0.5">
+            {webSearch.status === 'searching' && (
+              <Search className="w-5 h-5 text-primary animate-pulse" />
+            )}
+            {webSearch.status === 'scraping' && (
+              <FileText className="w-5 h-5 text-primary animate-pulse" />
+            )}
+            {webSearch.status === 'error' && (
+              <div className="w-5 h-5 rounded-full bg-destructive/20 flex items-center justify-center">
+                <span className="text-destructive text-xs font-bold">!</span>
+              </div>
+            )}
+          </div>
+          
+          {/* Content */}
+          <div className="flex-1 space-y-2">
+            <div className="flex items-center gap-2">
+              <Loader2 className="w-4 h-4 animate-spin text-primary" />
+              <p className="text-sm font-medium">
+                {webSearch.status === 'searching' && 'Buscando fontes...'}
+                {webSearch.status === 'scraping' && `Analisando fontes (${webSearch.scrapedSources.length})...`}
+                {webSearch.status === 'error' && 'Erro na busca'}
+              </p>
+            </div>
+            
+            {/* Mostrar query atual se disponível */}
+            {webSearch.currentQuery && webSearch.status !== 'error' && (
+              <p className="text-xs text-muted-foreground line-clamp-1">
+                {webSearch.currentQuery}
+              </p>
+            )}
+            
+            {/* Mostrar erro se houver */}
+            {webSearch.error && webSearch.status === 'error' && (
+              <p className="text-xs text-destructive line-clamp-2">
+                {webSearch.error}
+              </p>
+            )}
+            
+            {/* Barra de progresso simulada */}
+            {webSearch.status !== 'error' && (
+              <div className="w-full h-1 bg-muted rounded-full overflow-hidden">
+                <motion.div
+                  className="h-full bg-primary"
+                  initial={{ width: "0%" }}
+                  animate={{
+                    width: webSearch.status === 'searching' ? "40%" : "80%"
+                  }}
+                  transition={{
+                    duration: 2,
+                    ease: "easeInOut"
+                  }}
+                />
+              </div>
+            )}
+          </div>
+        </div>
+      </motion.div>
+    </AnimatePresence>
+  );
+}
+
+
+

components/settings/GpuDashboard.tsx

@@ -0,0 +1,271 @@
+'use client';
+
+import { useState, useEffect } from 'react';
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+import { Progress } from '@/components/ui/progress';
+import { Badge } from '@/components/ui/badge';
+import { Monitor, Thermometer, Zap, Fan, Cpu, HardDrive, Activity } from 'lucide-react';
+import { invoke } from '@tauri-apps/api/core';
+import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from '@/components/ui/tooltip';
+
+interface GpuStats {
+  id: string;
+  name: string;
+  vendor: string | null;
+  vram_used_mb: number | null;
+  vram_total_mb: number | null;
+  vram_percent: number | null;
+  compute_usage_percent: number | null;
+  graphics_usage_percent: number | null;
+  overall_usage_percent: number | null;
+  temperature_celsius: number | null;
+  temperature_max_celsius: number | null;
+  power_watts: number | null;
+  power_max_watts: number | null;
+  fan_speed_rpm: number | null;
+  fan_speed_percent: number | null;
+  processes_count: number | null;
+  driver_version: string | null;
+  api: string | null;
+}
+
+interface GpuDashboardProps {
+  gpuId?: string;
+  pollInterval?: number; // em milissegundos, padrão 2000ms
+}
+
+export function GpuDashboard({ gpuId, pollInterval = 2000 }: GpuDashboardProps) {
+  const [stats, setStats] = useState<GpuStats | null>(null);
+  const [isLoading, setIsLoading] = useState(true);
+  const [error, setError] = useState<string | null>(null);
+
+  useEffect(() => {
+    const loadStats = async () => {
+      try {
+        const data = await invoke<GpuStats | null>('get_gpu_stats', { gpuId: gpuId || null });
+        setStats(data);
+        setError(null);
+        setIsLoading(false);
+      } catch (err) {
+        console.error('Failed to load GPU stats:', err);
+        setError(err instanceof Error ? err.message : 'Erro ao carregar estatísticas da GPU');
+        setIsLoading(false);
+      }
+    };
+
+    loadStats();
+    const interval = setInterval(loadStats, pollInterval);
+
+    return () => clearInterval(interval);
+  }, [gpuId, pollInterval]);
+
+  if (isLoading) {
+    return (
+      <Card>
+        <CardContent className="py-8 text-center text-muted-foreground">
+          Carregando estatísticas da GPU...
+        </CardContent>
+      </Card>
+    );
+  }
+
+  if (error || !stats) {
+    return (
+      <Card>
+        <CardContent className="py-8 text-center text-muted-foreground">
+          {error || 'GPU não detectada ou sem suporte para monitoramento detalhado'}
+        </CardContent>
+      </Card>
+    );
+  }
+
+  const formatBytes = (mb: number | null): string => {
+    if (!mb) return '-';
+    if (mb < 1024) return `${mb} MB`;
+    return `${(mb / 1024).toFixed(2)} GB`;
+  };
+
+  const getStatusColor = (value: number | null, thresholds: { good: number; warning: number }): string => {
+    if (!value) return 'bg-muted';
+    if (value < thresholds.good) return 'bg-green-500';
+    if (value < thresholds.warning) return 'bg-yellow-500';
+    return 'bg-red-500';
+  };
+
+  const getTemperatureColor = (temp: number | null): string => {
+    if (!temp) return 'text-muted-foreground';
+    if (temp < 60) return 'text-green-500';
+    if (temp < 80) return 'text-yellow-500';
+    return 'text-red-500';
+  };
+
+  return (
+    <div className="space-y-4">
+      {/* Card Principal da GPU */}
+      <Card>
+        <CardHeader className="pb-3">
+          <div className="flex items-center justify-between">
+            <CardTitle className="text-sm font-medium flex items-center gap-2">
+              <Monitor className="w-4 h-4" />
+              GPU
+            </CardTitle>
+            <div className="flex items-center gap-2">
+              {stats.vendor && (
+                <Badge variant="outline" className="text-xs">
+                  {stats.vendor}
+                </Badge>
+              )}
+              {stats.api && (
+                <Badge variant="secondary" className="text-xs">
+                  {stats.api}
+                </Badge>
+              )}
+            </div>
+          </div>
+          <p className="text-xs text-muted-foreground mt-1 truncate" title={stats.name}>
+            {stats.name}
+          </p>
+          {stats.driver_version && (
+            <p className="text-xs text-muted-foreground">Driver: {stats.driver_version}</p>
+          )}
+        </CardHeader>
+        <CardContent className="space-y-4">
+          {/* VRAM */}
+          {stats.vram_total_mb && (
+            <div className="space-y-2">
+              <div className="flex items-center justify-between text-xs">
+                <span className="flex items-center gap-1.5">
+                  <HardDrive className="w-3 h-3" />
+                  Memória VRAM
+                </span>
+                <span className="font-medium">
+                  {formatBytes(stats.vram_used_mb)} / {formatBytes(stats.vram_total_mb)}
+                  {stats.vram_percent && ` (${stats.vram_percent.toFixed(1)}%)`}
+                </span>
+              </div>
+              {stats.vram_percent !== null && (
+                <Progress 
+                  value={stats.vram_percent} 
+                  className="h-2"
+                />
+              )}
+            </div>
+          )}
+
+          {/* Uso de Processamento */}
+          {stats.overall_usage_percent !== null && (
+            <div className="space-y-2">
+              <div className="flex items-center justify-between text-xs">
+                <span className="flex items-center gap-1.5">
+                  <Cpu className="w-3 h-3" />
+                  Uso de Processamento
+                </span>
+                <span className="font-medium">{stats.overall_usage_percent.toFixed(1)}%</span>
+              </div>
+              <Progress 
+                value={stats.overall_usage_percent} 
+                className="h-2"
+              />
+              {stats.compute_usage_percent !== null && stats.graphics_usage_percent !== null && (
+                <div className="flex gap-2 text-[10px] text-muted-foreground">
+                  <span>Compute: {stats.compute_usage_percent.toFixed(1)}%</span>
+                  <span>Graphics: {stats.graphics_usage_percent.toFixed(1)}%</span>
+                </div>
+              )}
+            </div>
+          )}
+
+          {/* Grid de Métricas */}
+          <div className="grid grid-cols-2 gap-3 pt-2">
+            {/* Temperatura */}
+            {stats.temperature_celsius !== null && (
+              <div className="space-y-1">
+                <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
+                  <Thermometer className="w-3 h-3" />
+                  Temperatura
+                </div>
+                <div className="flex items-baseline gap-1">
+                  <span className={`text-lg font-semibold ${getTemperatureColor(stats.temperature_celsius)}`}>
+                    {stats.temperature_celsius.toFixed(0)}
+                  </span>
+                  <span className="text-xs text-muted-foreground">°C</span>
+                  {stats.temperature_max_celsius && (
+                    <span className="text-[10px] text-muted-foreground">
+                      / {stats.temperature_max_celsius.toFixed(0)}°C
+                    </span>
+                  )}
+                </div>
+              </div>
+            )}
+
+            {/* Energia */}
+            {stats.power_watts !== null && (
+              <div className="space-y-1">
+                <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
+                  <Zap className="w-3 h-3" />
+                  Energia
+                </div>
+                <div className="flex items-baseline gap-1">
+                  <span className="text-lg font-semibold">
+                    {stats.power_watts.toFixed(1)}
+                  </span>
+                  <span className="text-xs text-muted-foreground">W</span>
+                  {stats.power_max_watts && (
+                    <span className="text-[10px] text-muted-foreground">
+                      / {stats.power_max_watts.toFixed(1)}W
+                    </span>
+                  )}
+                </div>
+              </div>
+            )}
+
+            {/* Ventilador */}
+            {(stats.fan_speed_percent !== null || stats.fan_speed_rpm !== null) && (
+              <div className="space-y-1">
+                <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
+                  <Fan className="w-3 h-3" />
+                  Ventilador
+                </div>
+                <div className="flex items-baseline gap-1">
+                  {stats.fan_speed_percent !== null && (
+                    <>
+                      <span className="text-lg font-semibold">
+                        {stats.fan_speed_percent.toFixed(0)}
+                      </span>
+                      <span className="text-xs text-muted-foreground">%</span>
+                    </>
+                  )}
+                  {stats.fan_speed_rpm !== null && (
+                    <span className="text-xs text-muted-foreground ml-1">
+                      ({stats.fan_speed_rpm} RPM)
+                    </span>
+                  )}
+                </div>
+              </div>
+            )}
+
+            {/* Processos */}
+            {stats.processes_count !== null && (
+              <div className="space-y-1">
+                <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
+                  <Activity className="w-3 h-3" />
+                  Processos
+                </div>
+                <div className="flex items-baseline gap-1">
+                  <span className="text-lg font-semibold">
+                    {stats.processes_count}
+                  </span>
+                  <span className="text-xs text-muted-foreground">
+                    {stats.processes_count === 1 ? 'processo' : 'processos'}
+                  </span>
+                </div>
+              </div>
+            )}
+          </div>
+        </CardContent>
+      </Card>
+    </div>
+  );
+}
+
+

components/settings/HardwareDashboard.tsx

@@ -0,0 +1,200 @@
+'use client';
+
+import { useState, useEffect } from 'react';
+import { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card';
+import { Progress } from '@/components/ui/progress';
+import { Badge } from '@/components/ui/badge';
+import { Cpu, MemoryStick, HardDrive, Activity, Clock, Monitor } from 'lucide-react';
+import { invoke } from '@tauri-apps/api/core';
+import { GpuDashboard } from './GpuDashboard';
+
+interface SystemStats {
+  cpu_usage: number;
+  ram_used: number;
+  ram_total: number;
+  ram_percent: number;
+  gpu_name: string | null;
+  uptime: number;
+  processes_count: number;
+  cpu_name: string;
+}
+
+export function HardwareDashboard() {
+  const [stats, setStats] = useState<SystemStats | null>(null);
+  const [isLoading, setIsLoading] = useState(true);
+
+  useEffect(() => {
+    const loadStats = async () => {
+      try {
+        const data = await invoke<SystemStats>('get_system_stats');
+        setStats(data);
+        setIsLoading(false);
+      } catch (error) {
+        console.error('Failed to load system stats:', error);
+        setIsLoading(false);
+      }
+    };
+
+    loadStats();
+    const interval = setInterval(loadStats, 1000); // Atualiza a cada 1 segundo
+
+    return () => clearInterval(interval);
+  }, []);
+
+  if (isLoading || !stats) {
+    return (
+      <Card>
+        <CardContent className="py-8 text-center text-muted-foreground">
+          Carregando estatísticas do sistema...
+        </CardContent>
+      </Card>
+    );
+  }
+
+  const formatBytes = (bytes: number): string => {
+    if (bytes === 0) return '0 B';
+    const k = 1024;
+    const sizes = ['B', 'KB', 'MB', 'GB', 'TB'];
+    const i = Math.floor(Math.log(bytes) / Math.log(k));
+    return `${(bytes / Math.pow(k, i)).toFixed(2)} ${sizes[i]}`;
+  };
+
+  const formatUptime = (seconds: number): string => {
+    const days = Math.floor(seconds / 86400);
+    const hours = Math.floor((seconds % 86400) / 3600);
+    const minutes = Math.floor((seconds % 3600) / 60);
+    
+    if (days > 0) {
+      return `${days}d ${hours}h ${minutes}m`;
+    } else if (hours > 0) {
+      return `${hours}h ${minutes}m`;
+    } else {
+      return `${minutes}m`;
+    }
+  };
+
+  const getCpuColor = (usage: number): string => {
+    if (usage < 50) return 'bg-green-500';
+    if (usage < 80) return 'bg-yellow-500';
+    return 'bg-red-500';
+  };
+
+  const getRamColor = (percent: number): string => {
+    if (percent < 60) return 'bg-blue-500';
+    if (percent < 85) return 'bg-yellow-500';
+    return 'bg-red-500';
+  };
+
+  return (
+    <div className="space-y-4">
+      <div className="grid gap-4 md:grid-cols-2 lg:grid-cols-3">
+      {/* CPU Card */}
+      <Card>
+        <CardHeader className="pb-3">
+          <div className="flex items-center justify-between">
+            <CardTitle className="text-sm font-medium flex items-center gap-2">
+              <Cpu className="w-4 h-4" />
+              CPU
+            </CardTitle>
+            <Badge variant="outline" className="text-xs">
+              {stats.cpu_usage.toFixed(1)}%
+            </Badge>
+          </div>
+        </CardHeader>
+        <CardContent className="space-y-2">
+          <Progress 
+            value={stats.cpu_usage} 
+            className="h-2"
+          />
+          <div className="flex items-center justify-between text-xs text-muted-foreground">
+            <span className="truncate">{stats.cpu_name}</span>
+          </div>
+        </CardContent>
+      </Card>
+
+      {/* RAM Card */}
+      <Card>
+        <CardHeader className="pb-3">
+          <div className="flex items-center justify-between">
+            <CardTitle className="text-sm font-medium flex items-center gap-2">
+              <MemoryStick className="w-4 h-4" />
+              Memória RAM
+            </CardTitle>
+            <Badge variant="outline" className="text-xs">
+              {stats.ram_percent.toFixed(1)}%
+            </Badge>
+          </div>
+        </CardHeader>
+        <CardContent className="space-y-2">
+          <Progress 
+            value={stats.ram_percent} 
+            className="h-2"
+          />
+          <div className="flex items-center justify-between text-xs text-muted-foreground">
+            <span>{formatBytes(stats.ram_used)} / {formatBytes(stats.ram_total)}</span>
+            <span>{formatBytes(stats.ram_total - stats.ram_used)} livre</span>
+          </div>
+        </CardContent>
+      </Card>
+
+      {/* System Info Card */}
+      <Card>
+        <CardHeader className="pb-3">
+          <CardTitle className="text-sm font-medium flex items-center gap-2">
+            <Activity className="w-4 h-4" />
+            Sistema
+          </CardTitle>
+        </CardHeader>
+        <CardContent className="space-y-3">
+          <div className="flex items-center justify-between text-sm">
+            <span className="text-muted-foreground flex items-center gap-2">
+              <Clock className="w-3 h-3" />
+              Uptime
+            </span>
+            <span className="font-medium">{formatUptime(stats.uptime)}</span>
+          </div>
+          <div className="flex items-center justify-between text-sm">
+            <span className="text-muted-foreground">Processos</span>
+            <span className="font-medium">{stats.processes_count.toLocaleString()}</span>
+          </div>
+        </CardContent>
+      </Card>
+
+      {/* Visual RAM Usage */}
+      <Card className="md:col-span-2 lg:col-span-1">
+        <CardHeader className="pb-3">
+          <CardTitle className="text-sm font-medium flex items-center gap-2">
+            <HardDrive className="w-4 h-4" />
+            Uso de Memória
+          </CardTitle>
+        </CardHeader>
+        <CardContent>
+          <div className="space-y-2">
+            <div className="flex justify-between text-xs">
+              <span className="text-muted-foreground">Usado</span>
+              <span className="font-medium">{stats.ram_percent.toFixed(1)}%</span>
+            </div>
+            <div className="relative h-24 bg-muted rounded-lg overflow-hidden">
+              <div 
+                className={`absolute bottom-0 left-0 right-0 ${getRamColor(stats.ram_percent)} transition-all duration-300`}
+                style={{ height: `${stats.ram_percent}%` }}
+              />
+              <div className="absolute inset-0 flex items-center justify-center text-xs font-medium">
+                {formatBytes(stats.ram_used)} / {formatBytes(stats.ram_total)}
+              </div>
+            </div>
+            <div className="flex justify-between text-xs text-muted-foreground">
+              <span>0%</span>
+              <span>100%</span>
+            </div>
+          </div>
+        </CardContent>
+      </Card>
+      </div>
+
+      {/* GPU Dashboard - Substitui o card simples */}
+      <GpuDashboard pollInterval={2000} />
+    </div>
+  );
+}
+

components/settings/domain-tags-input.tsx

@@ -0,0 +1,73 @@
+import { useState, KeyboardEvent } from 'react';
+import { X } from 'lucide-react';
+import { Badge } from '@/components/ui/badge';
+import { Input } from '@/components/ui/input';
+import { Label } from '@/components/ui/label';
+
+interface DomainTagsInputProps {
+  domains: string[];
+  onAdd: (domain: string) => void;
+  onRemove: (domain: string) => void;
+  placeholder?: string;
+}
+
+export function DomainTagsInput({
+  domains,
+  onAdd,
+  onRemove,
+  placeholder = 'Digite um domínio e pressione Enter...',
+}: DomainTagsInputProps) {
+  const [inputValue, setInputValue] = useState('');
+
+  const handleKeyDown = (e: KeyboardEvent<HTMLInputElement>) => {
+    if (e.key === 'Enter' && inputValue.trim()) {
+      e.preventDefault();
+      onAdd(inputValue.trim());
+      setInputValue('');
+    }
+  };
+
+  const normalizeDomain = (domain: string): string => {
+    return domain
+      .toLowerCase()
+      .trim()
+      .replace(/^https?:\/\//, '')
+      .replace(/\/$/, '')
+      .split('/')[0]; // Remove path
+  };
+
+  return (
+    <div className="space-y-2">
+      <Label>Domínios Bloqueados</Label>
+      <div className="flex flex-wrap gap-2 p-3 border rounded-md min-h-[50px] bg-background">
+        {domains.map((domain) => (
+          <Badge
+            key={domain}
+            variant="secondary"
+            className="flex items-center gap-1 pr-1"
+          >
+            {domain}
+            <button
+              type="button"
+              onClick={() => onRemove(domain)}
+              className="ml-1 rounded-full hover:bg-destructive/20 p-0.5 transition-colors"
+            >
+              <X className="w-3 h-3" />
+            </button>
+          </Badge>
+        ))}
+        <Input
+          value={inputValue}
+          onChange={(e) => setInputValue(e.target.value)}
+          onKeyDown={handleKeyDown}
+          placeholder={domains.length === 0 ? placeholder : ''}
+          className="flex-1 min-w-[200px] border-0 focus-visible:ring-0 focus-visible:ring-offset-0 h-auto p-0"
+        />
+      </div>
+      <p className="text-xs text-muted-foreground">
+        Digite um domínio (ex: youtube.com) e pressione Enter para adicionar à lista negra.
+      </p>
+    </div>
+  );
+}
+

components/setup/gpu-selector.tsx

@@ -0,0 +1,139 @@
+'use client';
+
+import { useEffect } from "react";
+import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card";
+import { Badge } from "@/components/ui/badge";
+import { Check, Cpu, Monitor, Zap, Laptop } from "lucide-react";
+import { GpuInfo } from "@/lib/recommendation";
+import { useSettingsStore } from "@/store/settings-store";
+import { cn } from "@/lib/utils";
+
+interface GpuSelectorProps {
+  gpus: GpuInfo[];
+}
+
+export function GpuSelector({ gpus }: GpuSelectorProps) {
+  const selectedGpu = useSettingsStore((state) => state.selectedGpu);
+  const setSelectedGpu = useSettingsStore((state) => state.setSelectedGpu);
+
+  // Se não há GPUs ou apenas uma, não mostrar seletor
+  if (gpus.length === 0) {
+    return null;
+  }
+
+  // Se há apenas uma GPU, selecionar automaticamente
+  if (gpus.length === 1 && !selectedGpu) {
+    setSelectedGpu(gpus[0].id);
+  }
+
+  // Selecionar primeira GPU por padrão se nenhuma estiver selecionada
+  useEffect(() => {
+    if (!selectedGpu && gpus.length > 0) {
+      setSelectedGpu(gpus[0].id);
+    }
+  }, [selectedGpu, gpus, setSelectedGpu]);
+
+  const getVendorIcon = (vendor: string | null) => {
+    const iconClass = "h-5 w-5";
+    switch (vendor?.toUpperCase()) {
+      case 'NVIDIA':
+        return <Zap className={cn(iconClass, "text-green-500")} />;
+      case 'AMD':
+        return <Zap className={cn(iconClass, "text-red-500")} />;
+      case 'INTEL':
+        return <Cpu className={cn(iconClass, "text-blue-500")} />;
+      case 'APPLE':
+        return <Monitor className={cn(iconClass, "text-gray-500")} />;
+      default:
+        return <Monitor className={cn(iconClass, "text-muted-foreground")} />;
+    }
+  };
+
+  const formatMemory = (memoryMb: number | null) => {
+    if (!memoryMb) return null;
+    if (memoryMb >= 1024) {
+      return `${(memoryMb / 1024).toFixed(1)} GB`;
+    }
+    return `${memoryMb} MB`;
+  };
+
+  return (
+    <Card className="w-full max-w-2xl mx-auto bg-muted/30 animate-in fade-in slide-in-from-bottom-4">
+      <CardHeader>
+        <CardTitle className="flex items-center gap-2 text-lg">
+          <Monitor className="text-primary" />
+          Placas de Vídeo Detectadas
+        </CardTitle>
+        <CardDescription>
+          Selecione qual GPU você deseja usar para processamento de IA
+        </CardDescription>
+      </CardHeader>
+      <CardContent>
+        <div className="grid grid-cols-1 md:grid-cols-2 gap-3">
+          {gpus.map((gpu) => {
+            const isSelected = selectedGpu === gpu.id;
+            const memoryStr = formatMemory(gpu.memory_mb);
+            
+            return (
+              <button
+                key={gpu.id}
+                onClick={() => setSelectedGpu(gpu.id)}
+                className={cn(
+                  "relative p-4 rounded-lg border-2 transition-all text-left",
+                  "hover:border-primary/50 hover:bg-accent/50",
+                  isSelected
+                    ? "border-primary bg-primary/10 shadow-md"
+                    : "border-border bg-background"
+                )}
+              >
+                {isSelected && (
+                  <div className="absolute top-2 right-2">
+                    <div className="h-6 w-6 rounded-full bg-primary flex items-center justify-center">
+                      <Check className="h-4 w-4 text-primary-foreground" />
+                    </div>
+                  </div>
+                )}
+                
+                <div className="space-y-2">
+                  <div className="flex items-start gap-2">
+                    <div className="mt-0.5">
+                      {getVendorIcon(gpu.vendor)}
+                    </div>
+                    <div className="flex-1 min-w-0">
+                      <h3 className="font-semibold text-sm truncate">{gpu.name}</h3>
+                      {gpu.vendor && (
+                        <Badge variant="outline" className="mt-1 text-xs">
+                          {gpu.vendor}
+                        </Badge>
+                      )}
+                    </div>
+                  </div>
+                  
+                  {memoryStr && (
+                    <div className="flex items-center gap-1 text-xs text-muted-foreground">
+                      <Cpu className="h-3 w-3" />
+                      <span>{memoryStr} VRAM</span>
+                    </div>
+                  )}
+                  
+                  {!memoryStr && gpu.vendor && (
+                    <div className="text-xs text-muted-foreground">
+                      {gpu.vendor === 'Intel' ? 'GPU Integrada' : 'GPU Dedicada'}
+                    </div>
+                  )}
+                </div>
+              </button>
+            );
+          })}
+        </div>
+        
+        {gpus.length === 1 && (
+          <p className="text-sm text-muted-foreground mt-4 text-center">
+            Apenas uma GPU foi detectada e será usada automaticamente.
+          </p>
+        )}
+      </CardContent>
+    </Card>
+  );
+}
+

components/setup/model-selector.tsx

@@ -14,12 +14,22 @@ interface ModelSelectorProps {
   onComplete: () => void;
 }
 
+interface DownloadInfo {
+  status: string;
+  percent?: number;
+  downloaded?: string;
+  total?: string;
+  speed?: string;
+  raw: string;
+}
+
 export function ModelSelector({ recommendation, onComplete }: ModelSelectorProps) {
   const [selectedModelId, setSelectedModelId] = useState(recommendation.modelId);
   const [isInstalled, setIsInstalled] = useState(false);
   const [isDownloading, setIsDownloading] = useState(false);
   const [downloadProgress, setDownloadProgress] = useState(0);
   const [downloadStatus, setDownloadStatus] = useState("");
+  const [downloadInfo, setDownloadInfo] = useState<DownloadInfo | null>(null);
 
   const selectedModel = RECOMMENDED_MODELS.find(m => m.id === selectedModelId) || RECOMMENDED_MODELS[0];
 
@@ -29,25 +39,60 @@ export function ModelSelector({ recommendation, onComplete }: ModelSelectorProps
 
   useEffect(() => {
     const unlisten = listen<string>('download-progress', (event) => {
-      const line = event.payload;
-      setDownloadStatus(line);
+      const payload = event.payload;
       
-      // Simple heuristic parsing for progress
-      // Ollama output example: "pulling manifest", "downloading 10%", "verifying sha256 digest"
-      if (line.includes('%')) {
-        const match = line.match(/(\d+)%/);
-        if (match) {
-          setDownloadProgress(parseInt(match[1], 10));
+      // Tentar parsear como JSON estruturado
+      let info: DownloadInfo | null = null;
+      try {
+        info = JSON.parse(payload) as DownloadInfo;
+      } catch {
+        // Fallback: tratar como string raw
+        info = {
+          status: "downloading",
+          raw: payload,
+        };
+      }
+      
+      if (info) {
+        setDownloadInfo(info);
+        
+        // Atualizar status text
+        const statusText = info.status === "pulling" ? "Baixando modelo..." :
+                         info.status === "verifying" ? "Verificando..." :
+                         info.status === "writing" ? "Salvando..." :
+                         info.status === "success" ? "Concluído!" :
+                         "Baixando...";
+        setDownloadStatus(statusText);
+        
+        // Atualizar progresso
+        if (info.percent !== undefined) {
+          setDownloadProgress(info.percent);
+        } else {
+          // Fallback: estimar progresso baseado no status
+          if (info.status === "pulling") {
+            setDownloadProgress(prev => prev < 10 ? 10 : prev);
+          } else if (info.status === "verifying") {
+            setDownloadProgress(90);
+          } else if (info.status === "writing") {
+            setDownloadProgress(95);
+          }
+        }
+        
+        // Se chegou a 100% ou success, marcar como instalado após um pequeno delay
+        if (info.percent === 100 || info.status === "success") {
+          setTimeout(() => {
+            setIsInstalled(true);
+            setIsDownloading(false);
+            checkInstallation(selectedModelId);
+          }, 500);
         }
-      } else if (line.includes('success')) {
-        setDownloadProgress(100);
       }
     });
 
     return () => {
       unlisten.then(f => f());
     };
-  }, []);
+  }, [selectedModelId]);
 
   const checkInstallation = async (modelId: string) => {
     try {
@@ -61,13 +106,15 @@ export function ModelSelector({ recommendation, onComplete }: ModelSelectorProps
   const handleDownload = async () => {
     setIsDownloading(true);
     setDownloadProgress(0);
+    setDownloadStatus("Iniciando download...");
     try {
       await invoke('pull_model', { name: selectedModelId });
-      setIsInstalled(true);
-      setIsDownloading(false);
+      // O status será atualizado pelo listener quando o download completar
+      // Não precisamos setar aqui pois o listener já faz isso
     } catch (error) {
       console.error("Download failed", error);
       setDownloadStatus("Falha no download. Tente novamente.");
+      setDownloadProgress(0);
       setIsDownloading(false);
     }
   };
@@ -128,6 +175,18 @@ export function ModelSelector({ recommendation, onComplete }: ModelSelectorProps
               <span>{downloadProgress}%</span>
             </div>
             <Progress value={downloadProgress} className="h-2" />
+            {downloadInfo && (downloadInfo.downloaded || downloadInfo.speed) && (
+              <div className="flex justify-between text-xs text-muted-foreground">
+                <span>
+                  {downloadInfo.downloaded && downloadInfo.total 
+                    ? `${downloadInfo.downloaded} / ${downloadInfo.total}`
+                    : downloadInfo.downloaded || ""}
+                </span>
+                {downloadInfo.speed && (
+                  <span>{downloadInfo.speed}</span>
+                )}
+              </div>
+            )}
           </div>
         )}
       </CardContent>

components/theme-provider.tsx

@@ -10,3 +10,5 @@ export function ThemeProvider({
   return <NextThemesProvider {...props}>{children}</NextThemesProvider>
 }
 
+
+

components/titlebar.tsx

@@ -0,0 +1,123 @@
+'use client';
+
+import { useEffect, useState } from 'react';
+import { getCurrentWindow } from '@tauri-apps/api/window';
+import { Minus, Square, X } from 'lucide-react';
+import { cn } from '@/lib/utils';
+
+export function TitleBar() {
+  const [isMaximized, setIsMaximized] = useState(false);
+
+  useEffect(() => {
+    let isMounted = true;
+    
+    const checkMaximized = async () => {
+      try {
+        const appWindow = getCurrentWindow();
+        const maximized = await appWindow.isMaximized();
+        if (isMounted) {
+          setIsMaximized(maximized);
+        }
+      } catch (error) {
+        console.error('Failed to check window state:', error);
+      }
+    };
+    
+    checkMaximized();
+    
+    // Listener para mudanças de estado
+    const setupListener = async () => {
+      try {
+        const appWindow = getCurrentWindow();
+        const unlisten = await appWindow.onResized(async () => {
+          if (isMounted) {
+            const maximized = await appWindow.isMaximized();
+            setIsMaximized(maximized);
+          }
+        });
+        
+        return unlisten;
+      } catch (error) {
+        console.error('Failed to setup resize listener:', error);
+        return null;
+      }
+    };
+    
+    let unlistenFn: (() => void) | null = null;
+    setupListener().then(fn => {
+      unlistenFn = fn;
+    });
+
+    return () => {
+      isMounted = false;
+      if (unlistenFn) {
+        unlistenFn();
+      }
+    };
+  }, []);
+
+  const handleMinimize = async () => {
+    const appWindow = getCurrentWindow();
+    await appWindow.minimize();
+  };
+
+  const handleMaximize = async () => {
+    const appWindow = getCurrentWindow();
+    if (isMaximized) {
+      await appWindow.unmaximize();
+    } else {
+      await appWindow.maximize();
+    }
+  };
+
+  const handleClose = async () => {
+    const appWindow = getCurrentWindow();
+    await appWindow.close();
+  };
+
+  return (
+    <div 
+      className="h-8 bg-sidebar border-b border-sidebar-border flex items-center justify-between select-none z-50 shrink-0"
+      data-tauri-drag-region
+    >
+      {/* Área de arrasto com logo/título */}
+      <div 
+        className="flex items-center gap-2 px-4 h-full flex-1"
+        data-tauri-drag-region
+      >
+        <span className="text-sm font-medium text-sidebar-foreground">
+          OllaHub
+        </span>
+      </div>
+
+      {/* Controles de janela */}
+      <div className="flex items-center h-full">
+        <button
+          onClick={handleMinimize}
+          className="h-full w-12 flex items-center justify-center hover:bg-sidebar-accent transition-colors"
+          title="Minimizar"
+        >
+          <Minus className="w-4 h-4 text-sidebar-foreground" />
+        </button>
+        <button
+          onClick={handleMaximize}
+          className="h-full w-12 flex items-center justify-center hover:bg-sidebar-accent transition-colors"
+          title={isMaximized ? "Restaurar" : "Maximizar"}
+        >
+          <Square className={cn(
+            "w-3.5 h-3.5 text-sidebar-foreground",
+            isMaximized && "opacity-60"
+          )} />
+        </button>
+        <button
+          onClick={handleClose}
+          className="h-full w-12 flex items-center justify-center hover:bg-destructive transition-colors"
+          title="Fechar"
+        >
+          <X className="w-4 h-4 text-sidebar-foreground" />
+        </button>
+      </div>
+    </div>
+  );
+}
+

components/ui/button.tsx

@@ -21,12 +21,12 @@ const buttonVariants = cva(
         link: "text-primary underline-offset-4 hover:underline",
       },
       size: {
-        default: "h-9 px-4 py-2 has-[>svg]:px-3",
+        default: "h-10 px-4 py-2 has-[>svg]:px-3",
         sm: "h-8 rounded-md gap-1.5 px-3 has-[>svg]:px-2.5",
-        lg: "h-10 rounded-md px-6 has-[>svg]:px-4",
-        icon: "size-9",
+        lg: "h-12 rounded-md px-6 has-[>svg]:px-4",
+        icon: "size-10",
         "icon-sm": "size-8",
-        "icon-lg": "size-10",
+        "icon-lg": "size-12",
       },
     },
     defaultVariants: {

components/ui/checkbox.tsx

@@ -0,0 +1,30 @@
+"use client"
+
+import * as React from "react"
+import * as CheckboxPrimitive from "@radix-ui/react-checkbox"
+import { Check } from "lucide-react"
+
+import { cn } from "@/lib/utils"
+
+const Checkbox = React.forwardRef<
+  React.ElementRef<typeof CheckboxPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof CheckboxPrimitive.Root>
+>(({ className, ...props }, ref) => (
+  <CheckboxPrimitive.Root
+    ref={ref}
+    className={cn(
+      "peer h-4 w-4 shrink-0 rounded-sm border border-primary ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=checked]:text-primary-foreground",
+      className
+    )}
+    {...props}
+  >
+    <CheckboxPrimitive.Indicator
+      className={cn("flex items-center justify-center text-current")}
+    >
+      <Check className="h-4 w-4" />
+    </CheckboxPrimitive.Indicator>
+  </CheckboxPrimitive.Root>
+))
+Checkbox.displayName = CheckboxPrimitive.Root.displayName
+
+export { Checkbox }

components/ui/dropdown-menu.tsx

@@ -197,3 +197,5 @@ export {
   DropdownMenuRadioGroup,
 }
 
+
+

components/ui/input.tsx

@@ -0,0 +1,26 @@
+import * as React from "react"
+
+import { cn } from "@/lib/utils"
+
+export interface InputProps
+  extends React.InputHTMLAttributes<HTMLInputElement> {}
+
+const Input = React.forwardRef<HTMLInputElement, InputProps>(
+  ({ className, type, ...props }, ref) => {
+    return (
+      <input
+        type={type}
+        className={cn(
+          "flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium file:text-foreground placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
+          className
+        )}
+        ref={ref}
+        {...props}
+      />
+    )
+  }
+)
+Input.displayName = "Input"
+
+export { Input }
+

components/ui/label.tsx

@@ -0,0 +1,27 @@
+"use client"
+
+import * as React from "react"
+import * as LabelPrimitive from "@radix-ui/react-label"
+import { cva, type VariantProps } from "class-variance-authority"
+
+import { cn } from "@/lib/utils"
+
+const labelVariants = cva(
+  "text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
+)
+
+const Label = React.forwardRef<
+  React.ElementRef<typeof LabelPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof LabelPrimitive.Root> &
+    VariantProps<typeof labelVariants>
+>(({ className, ...props }, ref) => (
+  <LabelPrimitive.Root
+    ref={ref}
+    className={cn(labelVariants(), className)}
+    {...props}
+  />
+))
+Label.displayName = LabelPrimitive.Root.displayName
+
+export { Label }
+

components/ui/progress.tsx

@@ -25,3 +25,5 @@ Progress.displayName = ProgressPrimitive.Root.displayName
 
 export { Progress }
 
+
+

components/ui/section.tsx

@@ -0,0 +1,29 @@
+import { cn } from "@/lib/utils";
+
+type Padding = "sm" | "md" | "lg";
+
+interface SectionProps extends React.ComponentProps<"section"> {
+  padding?: Padding;
+  fullWidth?: boolean;
+}
+
+function paddingToClass(padding?: Padding) {
+  switch (padding) {
+    case "sm": return "px-4 md:px-6 lg:px-8 py-4 md:py-6";
+    case "lg": return "px-4 md:px-6 lg:px-8 py-8 md:py-12";
+    case "md":
+    default:
+      return "px-4 md:px-6 lg:px-8 py-6 md:py-8";
+  }
+}
+
+export function Section({ padding = "md", fullWidth = false, className, children, ...props }: SectionProps) {
+  return (
+    <section
+      className={cn(paddingToClass(padding), fullWidth ? "w-full" : "w-full max-w-6xl mx-auto", className)}
+      {...props}
+    >
+      {children}
+    </section>
+  );
+}

components/ui/select.tsx

@@ -17,7 +17,7 @@ const SelectTrigger = React.forwardRef<
   <SelectPrimitive.Trigger
     ref={ref}
     className={cn(
-      "flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1",
+      "flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1 [&>span]:truncate [&>span]:min-w-0",
       className
     )}
     {...props}
@@ -157,3 +157,5 @@ export {
   SelectScrollDownButton,
 }
 
+
+

components/ui/slider.tsx

@@ -0,0 +1,27 @@
+import * as React from "react"
+import * as SliderPrimitive from "@radix-ui/react-slider"
+
+import { cn } from "@/lib/utils"
+
+const Slider = React.forwardRef<
+  React.ElementRef<typeof SliderPrimitive.Root>,
+  React.ComponentPropsWithoutRef<typeof SliderPrimitive.Root>
+>(({ className, ...props }, ref) => (
+  <SliderPrimitive.Root
+    ref={ref}
+    className={cn(
+      "relative flex w-full touch-none select-none items-center",
+      className
+    )}
+    {...props}
+  >
+    <SliderPrimitive.Track className="relative h-2 w-full grow overflow-hidden rounded-full bg-secondary">
+      <SliderPrimitive.Range className="absolute h-full bg-primary" />
+    </SliderPrimitive.Track>
+    <SliderPrimitive.Thumb className="block h-5 w-5 rounded-full border-2 border-primary bg-background ring-offset-background transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50" />
+  </SliderPrimitive.Root>
+))
+Slider.displayName = SliderPrimitive.Root.displayName
+
+export { Slider }
+

components/ui/stack.tsx

@@ -0,0 +1,65 @@
+import { cn } from "@/lib/utils";
+
+type Gap = 8 | 16 | 24 | 32 | 40 | 48;
+type Direction = "vertical" | "horizontal";
+type Align = "start" | "center" | "end" | "stretch";
+type Justify = "start" | "center" | "end" | "between";
+
+interface StackProps extends React.ComponentProps<"div"> {
+  direction?: Direction;
+  gap?: Gap;
+  align?: Align;
+  justify?: Justify;
+}
+
+function gapToClass(gap?: Gap) {
+  switch (gap) {
+    case 8: return "gap-2";
+    case 16: return "gap-4";
+    case 24: return "gap-6";
+    case 32: return "gap-8";
+    case 40: return "gap-10";
+    case 48: return "gap-12";
+    default: return "gap-4";
+  }
+}
+
+function alignToClass(align?: Align) {
+  switch (align) {
+    case "start": return "items-start";
+    case "center": return "items-center";
+    case "end": return "items-end";
+    case "stretch": return "items-stretch";
+    default: return "items-start";
+  }
+}
+
+function justifyToClass(justify?: Justify) {
+  switch (justify) {
+    case "start": return "justify-start";
+    case "center": return "justify-center";
+    case "end": return "justify-end";
+    case "between": return "justify-between";
+    default: return "justify-start";
+  }
+}
+
+export function Stack({
+  direction = "vertical",
+  gap = 16,
+  align = "start",
+  justify = "start",
+  className,
+  children,
+  ...props
+}: StackProps) {
+  const dirClass = direction === "vertical" ? "flex flex-col" : "flex";
+  return (
+    <div
+      className={cn(dirClass, gapToClass(gap), alignToClass(align), justifyToClass(justify), className)}
+      {...props}
+    >
+      {children}
+    </div>
+  );
+}

components/ui/switch.tsx

@@ -0,0 +1,30 @@
+"use client"
+
+import * as React from "react"
+import * as SwitchPrimitives from "@radix-ui/react-switch"
+
+import { cn } from "@/lib/utils"
+
+const Switch = React.forwardRef<
+  React.ElementRef<typeof SwitchPrimitives.Root>,
+  React.ComponentPropsWithoutRef<typeof SwitchPrimitives.Root>
+>(({ className, ...props }, ref) => (
+  <SwitchPrimitives.Root
+    className={cn(
+      "peer inline-flex h-5 w-9 shrink-0 cursor-pointer items-center rounded-full border-2 border-transparent shadow-sm transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:ring-offset-background disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input",
+      className
+    )}
+    {...props}
+    ref={ref}
+  >
+    <SwitchPrimitives.Thumb
+      className={cn(
+        "pointer-events-none block h-4 w-4 rounded-full bg-background shadow-lg ring-0 transition-transform data-[state=checked]:translate-x-4 data-[state=unchecked]:translate-x-0"
+      )}
+    />
+  </SwitchPrimitives.Root>
+))
+Switch.displayName = SwitchPrimitives.Root.displayName
+
+export { Switch }
+

components/ui/textarea.tsx

@@ -21,3 +21,5 @@ Textarea.displayName = "Textarea"
 
 export { Textarea }
 
+
+

components/ui/tooltip.tsx

@@ -0,0 +1,29 @@
+import * as React from "react"
+import * as TooltipPrimitive from "@radix-ui/react-tooltip"
+
+import { cn } from "@/lib/utils"
+
+const TooltipProvider = TooltipPrimitive.Provider
+
+const Tooltip = TooltipPrimitive.Root
+
+const TooltipTrigger = TooltipPrimitive.Trigger
+
+const TooltipContent = React.forwardRef<
+  React.ElementRef<typeof TooltipPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof TooltipPrimitive.Content>
+>(({ className, sideOffset = 4, ...props }, ref) => (
+  <TooltipPrimitive.Content
+    ref={ref}
+    sideOffset={sideOffset}
+    className={cn(
+      "z-50 overflow-hidden rounded-md border bg-popover px-3 py-1.5 text-sm text-popover-foreground shadow-md animate-in fade-in-0 zoom-in-95 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
+      className
+    )}
+    {...props}
+  />
+))
+TooltipContent.displayName = TooltipPrimitive.Content.displayName
+
+export { Tooltip, TooltipTrigger, TooltipContent, TooltipProvider }
+

data/prompts/batch-verify.ts

@@ -0,0 +1,46 @@
+export const BATCH_VERIFY_PROMPTS = {
+  DECOMPOSITION: `Role: Research Lead.
+Task: Decompose the user's query into 3-5 atomic, search-friendly questions to cover different angles.
+Output: JSON array of strings ONLY. No markdown, no explanations.
+
+User Query: "{{userQuery}}"
+
+Constraints:
+1. PRESERVE THE SUBJECT: If the user asks about "Garuva", ALL queries must mention "Garuva".
+2. DO NOT TRANSLATE proper names or specific terms unless necessary.
+3. AVOID generic queries like "what is this" without context.
+4. Return ONLY a JSON array of strings.
+
+Example Output for "Onde fica Garuva?":
+["localização garuva sc", "mapa garuva santa catarina", "história cidade garuva"]`,
+
+  VALIDATION: `Role: Fact Checker.
+Task: Analyze the following search results from multiple sources. Identify consensus and discrepancies.
+
+Search Results:
+{{searchResults}}
+
+Output structure:
+1. Consensus: Facts agreed upon by multiple sources.
+2. Discrepancies: Conflicts between sources (cite sources).
+3. Reliability: Which sources seem most authoritative?
+4. Verdict: Can we answer the user's query with high confidence? (YES/NO/PARTIAL)
+
+Keep it concise and factual.`,
+
+  SYNTHESIS: `Role: Senior Analyst.
+Task: Generate a final response based on the validation report and search results.
+
+Validation Report:
+{{validationReport}}
+
+Original Query: "{{userQuery}}"
+
+Protocol:
+1. Veredito Direto: The consolidated answer.
+2. Evidências Cruzadas: A comparison table or list showing consensus.
+3. Fontes: List key URLs used.
+4. If data is insufficient/conflicting, state it clearly.
+
+Language: Portuguese (Brazil).`
+};

data/prompts/deep-research.ts

@@ -0,0 +1,127 @@
+export const DEEP_RESEARCH_PROMPTS = {
+  DECOMPOSITION: `Role: Research Lead specializing in web search optimization.
+Task: Decompose the user's query into 3-5 atomic, search-friendly questions optimized for web search engines.
+
+User Query: "{{userQuery}}"
+
+## CRITICAL INSTRUCTIONS
+
+1. **PRESERVE THE SUBJECT**: If the user asks about "Garuva", ALL queries must mention "Garuva".
+2. **USE SPECIFIC KEYWORDS**: Include relevant technical terms, proper names, locations, dates, or context that will help search engines find precise results.
+3. **AVOID GENERIC QUERIES**: Never create queries like "what is this" or "tell me about" without specific context. Instead, use descriptive terms.
+4. **OPTIMIZE FOR SEARCH ENGINES**: 
+   - Use terms that are likely to appear in search results
+   - Include synonyms or related terms when appropriate
+   - For academic/research queries, include terms like "estudo", "pesquisa", "resultado", "premiado"
+   - For location queries, include geographic context (state, country, region)
+5. **COVER DIFFERENT ANGLES**: Each query should explore a different aspect or perspective of the original question.
+6. **DO NOT TRANSLATE**: Preserve proper names, technical terms, and specific terminology in their original form.
+7. **OUTPUT FORMAT**: Return ONLY a JSON array of strings. No markdown, no explanations, no additional text.
+
+## EXAMPLES
+
+Input: "Onde fica Garuva?"
+Output: ["localização garuva sc", "mapa garuva santa catarina", "história cidade garuva"]
+
+Input: "quais os ultimos resultados academicos mais premiados?"
+Output: ["resultados academicos premiados 2024", "pesquisas cientificas premiadas recentes", "estudos academicos reconhecidos premios", "descobertas academicas premiadas"]
+
+Input: "como funciona inteligencia artificial?"
+Output: ["inteligencia artificial como funciona", "IA machine learning algoritmos", "sistemas inteligencia artificial aplicacoes"]
+
+## YOUR TASK
+
+Decompose this query into search-optimized sub-queries:
+"{{userQuery}}"
+
+Return ONLY a JSON array of strings:`,
+
+  CONTEXT_CHECK: `Role: Fact Checker.
+Task: Analyze the Knowledge Base below and determine if it contains sufficient information to answer the user's query.
+
+## KNOWLEDGE BASE
+{{knowledgeBase}}
+
+## USER QUERY
+"{{userQuery}}"
+
+## OUTPUT
+1. **Sufficiency**: Does the Knowledge Base contain enough information to answer the query? (YES/NO/PARTIAL)
+2. **Key Facts Found**: List the main facts relevant to the query (bullet points).
+3. **Missing Information**: What information is NOT in the Knowledge Base but would be needed?
+4. **Reliability Assessment**: Rate the overall reliability of sources (HIGH/MEDIUM/LOW).
+
+Be concise and factual.`,
+
+  STRICT_GENERATION: `Role: Rigorous Fact-Based Reporter.
+
+## CRITICAL INSTRUCTIONS
+You are a reporter who can ONLY write what is explicitly stated in the KNOWLEDGE BASE below.
+- EVERY claim MUST be supported by the Knowledge Base.
+- Use citations in the format [ID: X] after each fact.
+- If a fact is NOT in the Knowledge Base, DO NOT WRITE IT.
+- If you cannot answer the question from the Knowledge Base, say: "Não encontrei informações suficientes nas fontes consultadas para responder completamente."
+- DO NOT use your internal knowledge. Pretend you know NOTHING except what is in the Knowledge Base.
+- Language: Portuguese (Brazil).
+
+## KNOWLEDGE BASE (Your ONLY source of truth)
+{{knowledgeBase}}
+
+## VALIDATION REPORT
+{{validationReport}}
+
+## USER QUERY
+"{{userQuery}}"
+
+## YOUR RESPONSE
+Write a comprehensive answer using ONLY the Knowledge Base above. Cite sources using [ID: X].`,
+
+  CITATION_FORMAT: `
+When citing sources, use this format:
+- For inline citations: "Garuva está localizada em Santa Catarina [ID: 1]."
+- For multiple sources: "A cidade possui praias e montanhas [ID: 1, 3]."
+- At the end, list all sources used with their URLs.
+`,
+
+  QUERY_ENRICHMENT: `Você é um especialista em otimização de queries de busca e expansão semântica.
+
+Com base na query original e no contexto analisado, gere múltiplas variantes de queries enriquecidas para maximizar a cobertura de resultados relevantes.
+
+## QUERY ORIGINAL
+"{{originalQuery}}"
+
+## CONTEXTO ANALISADO
+- Intenção: {{intent}}
+- Tópicos: {{topics}}
+- Entidades: {{entities}}
+- Contexto Temporal: {{temporalContext}}
+- Contexto Geográfico: {{geographicContext}}
+- Palavras-chave: {{keywords}}
+- Sinônimos: {{synonyms}}
+- Domínio: {{domain}}
+
+## INSTRUÇÕES
+
+Gere queries enriquecidas nas seguintes categorias:
+
+1. **LITERAL**: Variações diretas da query original (preservar termos principais)
+2. **SEMANTIC**: Variantes semânticas usando sinônimos e reformulações
+3. **RELATED**: Perguntas relacionadas e FAQs
+4. **EXPANDED**: Expansões temáticas específicas
+5. **CONTEXTUAL**: Queries com contexto adicional (datas, locais, domínios)
+
+## REGRAS CRÍTICAS
+
+- **PRESERVAR ENTIDADES**: Se a query menciona uma entidade, TODAS as queries devem mencioná-la
+- **NÃO TRADUZIR**: Preservar nomes próprios, termos técnicos na forma original
+- **OTIMIZAR PARA BUSCA**: Usar termos que aparecem em resultados reais
+- **COBERTURA AMPLA**: Cada categoria deve explorar diferentes ângulos
+- **QUALIDADE > QUANTIDADE**: 3-5 queries por categoria é suficiente
+
+Retorne APENAS um JSON válido com arrays para cada categoria.`
+};
+
+
+
+
+

data/prompts/default-format.md

@@ -1,29 +1,54 @@
-Você é um assistente de IA avançado integrado ao OllaHub. Sua principal função é fornecer respostas úteis, precisas e bem formatadas.
+Você é o OllaHub AI, um assistente especializado em análise detalhada e factual.
 
-## DIRETRIZES DE FORMATAÇÃO (MUITO IMPORTANTE)
+## REGRAS ABSOLUTAS
 
-Para garantir a melhor experiência de leitura, siga rigorosamente estas regras de Markdown:
+1. **Nunca** escreva tags `<metadata>`, JSON oculto ou textos como "Metadados:". Toda resposta deve ser apenas texto visível ao usuário.
+2. Use Markdown limpo: títulos, listas e blocos de código com linguagem indicada.
+3. Comandos e códigos devem estar em blocos triplos (```bash, ```json, etc.).
+4. Se receber um bloco [CONTEXTO WEB], use essas informações prioritariamente para responder.
 
-### 1. Estrutura e Hierarquia
-- Use **Títulos (H1, H2, H3)** para organizar seções. Nunca use apenas negrito para títulos.
-- Use **Listas (Bulleted ou Numbered)** para passos, itens ou características.
-- Use **Separadores (---)** para dividir grandes blocos de conteúdo.
+## DIRETRIZES DE RESPOSTA (RAG)
 
-### 2. Blocos de Código
-- SEMPRE use blocos de código triplos (\`\`\`) para qualquer trecho de código, comando de terminal ou configuração.
-- SEMPRE especifique a linguagem após os acentos graves (ex: \`\`\`python, \`\`\`bash, \`\`\`json).
-- Para menções curtas de código no meio do texto, use `código inline`.
+### 1. Contextualização Temporal Obrigatória
 
-### 3. Ênfase e Destaque
-- Use **Negrito** para conceitos chave ou avisos importantes.
-- Use *Itálico* para termos estrangeiros ou ênfase sutil.
-- Use > Blockquotes para citações ou notas laterais.
+- **SEMPRE** inicie respostas sobre notícias, eventos ou fatos atuais citando a data atual explicitamente.
+- Exemplo: "Com base nas informações de hoje, [DATA], os principais destaques são..."
+- Use a data fornecida no prompt como referência absoluta para "hoje", "ontem", "amanhã".
 
-### 4. Links
-- Formate links corretamente: `[Texto do Link](URL)`.
+### 2. Densidade e Profundidade
 
-## ESTILO DE RESPOSTA
-- Seja direto e objetivo. Evite preâmbulos desnecessários ("Claro, aqui está...").
-- Se a resposta for longa, comece com um resumo executivo.
-- Ao explicar código, comente o que cada parte faz.
+- **NUNCA** responda com listas de tópicos curtos e vagos (ex: "Houve um protesto").
+- Cada ponto deve conter detalhes específicos: **Números, Nomes Próprios, Locais e Citações Diretas** do contexto.
+- Explique o *contexto* da notícia, não apenas a manchete.
+- Prefira parágrafos explicativos com "quem, quando, onde, porquê" ao invés de bullets genéricos.
 
+### 3. Uso Estrito de Fontes
+
+- Você recebeu um bloco de texto marcado como [CONTEXTO WEB] ou [CONTEXTO WEB RECUPERADO].
+- Use **SOMENTE** essas informações para fatos recentes. Não alucine.
+- Se o contexto trouxer múltiplas notícias diferentes, agrupe-as por temas usando títulos Markdown (ex: "## Economia", "## Política", "## Tecnologia").
+- **NÃO cite fontes no meio do texto.** Use as informações do contexto web naturalmente, sem mencionar [1], [2], [3] ou outras referências numéricas. As fontes já estão disponíveis na interface e não precisam ser mencionadas na resposta.
+- Se o contexto não for suficiente para responder completamente, diga isso claramente.
+
+### 4. Formato Jornalístico
+
+- Use títulos Markdown (##) para separar seções temáticas.
+- Texto corrido para explicações detalhadas.
+- Bullets apenas para listar dados brutos (números, estatísticas, listas de nomes).
+- Tom objetivo, profissional e direto.
+- Evite linguagem excessivamente técnica sem contexto.
+
+## FORMATO SUGERIDO
+
+- **Contextualização temporal** no início (quando relevante).
+- Seções `##` para organizar o conteúdo por tema.
+- Parágrafos explicativos ao invés de one-liners.
+- Listas para dados brutos (números, estatísticas).
+- Blocos de código com linguagem específica.
+
+## ESTILO
+
+- Cite limitações, hipóteses e próximos passos quando relevante.
+- Inclua links apenas quando essencial.
+- Respostas sempre limpas, sem metadados ou conteúdo oculto.
+- Priorize informações recentes e precisas do contexto fornecido.

docs/style-guide.md

@@ -0,0 +1,34 @@
+# Guia de Estilo de UI – OllaHub
+
+## Espaçamento (escala 8px)
+- Tokens: 8, 16, 24, 32, 40, 48, 56, 64
+- Classes Tailwind equivalentes: `2, 4, 6, 8, 10, 12, 14, 16`
+- Recomendações:
+  - Conteúdo: `p-4` (mobile), `p-6` (tablet), `p-8` (desktop)
+  - Listas/Stacks: `gap-4` (16px) padrão
+  - Separações de seção: `py-6` (24px) ou `py-8` (32px)
+
+## Raios de Borda
+- Token base: `--radius` (10px)
+- Derivados: `rounded-sm`, `rounded-md`, `rounded-lg`, `rounded-xl` mapeiam para `--radius-*`
+- Interativos: usar `rounded-md` como padrão; cartões e contêineres: `rounded-lg/xl`
+
+## Responsividade
+- Breakpoints: `sm` (mobile), `md` (tablet), `lg` (desktop)
+- Padrões:
+  - Padding: `px-4 md:px-6 lg:px-8`
+  - Tipografia e gaps escalam suavemente (ex: `gap-4 md:gap-6`)
+
+## Acessibilidade
+- Contraste: seguir WCAG AA; tokens base usam OKLCH calibrado
+- Alto contraste: atributo global `data-high-contrast="true"` habilita variações de mensagem
+- Foco: `focus-visible:ring-2` com `ring-ring/50`
+
+## Componentes Base
+- `Section`: container com padding responsivo padrão
+- `Stack`: layout de coluna/linha com `gap` na escala de 8px
+
+## Aplicação Consistente
+- Mensagens: gradientes sutis, `rounded-xl`, estados (hover/selecionado)
+- Botões: alturas `h-8`, `h-10`, `h-12` (32/40/48px)
+- Card/Content: `p-4` (mínimo), evitar `p-3`

docs/updater-setup.md

@@ -0,0 +1,118 @@
+# Configuração do Sistema de Atualização Automática
+
+Este documento explica como configurar o sistema de atualização automática do OllaHub.
+
+## Pré-requisitos
+
+1. Repositório GitHub configurado
+2. Rust e Cargo instalados
+3. Tauri CLI instalado
+
+## Passo 1: Gerar Chaves de Assinatura
+
+Execute o script para gerar as chaves:
+
+```bash
+chmod +x scripts/generate-updater-keys.sh
+./scripts/generate-updater-keys.sh
+```
+
+Ou manualmente:
+
+```bash
+mkdir -p ~/.tauri
+cargo tauri signer generate -w ~/.tauri/ollahub.key
+```
+
+## Passo 2: Configurar Chave Pública
+
+1. Copie a chave pública gerada (está em `~/.tauri/ollahub.key.pub`)
+2. Edite `src-tauri/tauri.conf.json`
+3. Substitua `YOUR_PUBLIC_KEY_HERE` pela chave pública
+4. Atualize o endpoint com seu repositório GitHub:
+
+```json
+{
+  "updater": {
+    "active": true,
+    "endpoints": [
+      "https://api.github.com/repos/SEU_USUARIO/SEU_REPOSITORIO/releases/latest"
+    ],
+    "dialog": true,
+    "pubkey": "SUA_CHAVE_PUBLICA_AQUI"
+  }
+}
+```
+
+## Passo 3: Configurar GitHub Secrets
+
+1. Vá em **Settings** > **Secrets and variables** > **Actions**
+2. Clique em **New repository secret**
+3. Nome: `TAURI_UPDATER_PRIVATE_KEY`
+4. Valor: Cole o conteúdo completo do arquivo `~/.tauri/ollahub.key`
+
+## Passo 4: Atualizar Workflow (se necessário)
+
+O workflow `.github/workflows/release.yml` já está configurado para:
+- Buildar para Windows, macOS e Linux
+- Assinar binários com a chave privada
+- Criar release automaticamente quando há push em `main`/`master`
+
+## Como Funciona
+
+1. **Build Automático**: Quando você faz push para `main`/`master`, o GitHub Actions:
+   - Builda o app para todas as plataformas
+   - Assina os binários
+   - Cria uma release no GitHub
+
+2. **Verificação de Atualizações**: O app verifica automaticamente:
+   - 5 segundos após iniciar (primeira verificação)
+   - A cada 6 horas (verificação periódica)
+   - Manualmente via botão nas configurações
+
+3. **Instalação**: Quando há atualização disponível:
+   - Usuário recebe notificação
+   - Pode escolher atualizar agora ou depois
+   - Download e instalação são automáticos
+   - App reinicia automaticamente após instalação
+
+## Bump de Versão
+
+Para criar uma nova versão:
+
+```bash
+# Patch (0.1.0 -> 0.1.1)
+pnpm run bump-version patch --commit
+
+# Minor (0.1.0 -> 0.2.0)
+pnpm run bump-version minor --commit
+
+# Major (0.1.0 -> 1.0.0)
+pnpm run bump-version major --commit
+```
+
+Depois, faça push:
+
+```bash
+git push && git push --tags
+```
+
+O GitHub Actions criará automaticamente a release.
+
+## Troubleshooting
+
+### Erro: "Failed to check for updates"
+- Verifique se o endpoint no `tauri.conf.json` está correto
+- Verifique se há releases públicas no GitHub
+- Verifique a conexão com a internet
+
+### Erro: "Signature verification failed"
+- Verifique se a chave pública no `tauri.conf.json` está correta
+- Verifique se a chave privada no GitHub Secret está correta
+- Regere as chaves se necessário
+
+### Release não é criada automaticamente
+- Verifique se o push foi feito para `main` ou `master`
+- Verifique os logs do GitHub Actions
+- Verifique se as permissões do workflow estão corretas
+

hooks/use-app-updater.ts

@@ -0,0 +1,142 @@
+import { useState, useEffect, useCallback } from 'react';
+import { getVersion } from '@tauri-apps/api/app';
+import { useSettingsStore } from '@/store/settings-store';
+import { check as checkForUpdate } from '@tauri-apps/plugin-updater';
+
+export interface UpdateInfo {
+  version: string;
+  date?: string;
+  body?: string;
+}
+
+export interface AppUpdaterState {
+  currentVersion: string;
+  updateAvailable: boolean;
+  updateInfo: UpdateInfo | null;
+  isChecking: boolean;
+  isDownloading: boolean;
+  downloadProgress: number;
+  error: string | null;
+  checkUpdate: () => Promise<void>;
+  installUpdate: () => Promise<void>;
+}
+
+export function useAppUpdater(): AppUpdaterState {
+  const [currentVersion, setCurrentVersion] = useState<string>('');
+  const [updateAvailable, setUpdateAvailable] = useState(false);
+  const [updateInfo, setUpdateInfo] = useState<UpdateInfo | null>(null);
+  const [isChecking, setIsChecking] = useState(false);
+  const [isDownloading, setIsDownloading] = useState(false);
+  const [downloadProgress, setDownloadProgress] = useState(0);
+  const [error, setError] = useState<string | null>(null);
+
+  const autoCheckEnabled = useSettingsStore((state) => state.autoCheckUpdates ?? true);
+
+  // Obter versão atual
+  useEffect(() => {
+    const fetchVersion = async () => {
+      try {
+        const version = await getVersion();
+        setCurrentVersion(version);
+      } catch (err) {
+        console.error('Failed to get app version:', err);
+        setCurrentVersion('0.1.0');
+      }
+    };
+
+    fetchVersion();
+  }, []);
+
+  // Verificar atualizações
+  const checkUpdate = useCallback(async () => {
+    setIsChecking(true);
+    setError(null);
+
+    try {
+      const update = await checkForUpdate();
+
+      if (update?.available) {
+        setUpdateAvailable(true);
+        setUpdateInfo({
+          version: update.version,
+          date: update.date,
+          body: update.body,
+        });
+      } else {
+        setUpdateAvailable(false);
+        setUpdateInfo(null);
+      }
+    } catch (err) {
+      console.error('Failed to check for updates:', err);
+      setError(err instanceof Error ? err.message : 'Erro ao verificar atualizações');
+      setUpdateAvailable(false);
+    } finally {
+      setIsChecking(false);
+    }
+  }, []);
+
+  // Instalar atualização
+  const installUpdate = useCallback(async () => {
+    if (!updateAvailable) return;
+
+    setIsDownloading(true);
+    setError(null);
+    setDownloadProgress(0);
+
+    try {
+      const update = await checkForUpdate();
+
+      if (update?.available) {
+        // Escutar progresso do download
+        const unlisten = await update.on('download-progress', (progress: any) => {
+          setDownloadProgress(progress.progress || 0);
+        });
+
+        // Baixar e instalar atualização
+        await update.downloadAndInstall();
+
+        unlisten();
+
+        // Reiniciar aplicativo após instalação
+        await update.installAndRestart();
+      }
+    } catch (err) {
+      console.error('Failed to install update:', err);
+      setError(err instanceof Error ? err.message : 'Erro ao instalar atualização');
+      setIsDownloading(false);
+    }
+  }, [updateAvailable]);
+
+  // Verificação automática periódica (a cada 6 horas)
+  useEffect(() => {
+    if (!autoCheckEnabled) return;
+
+    // Verificar imediatamente ao montar (com delay para não interferir no carregamento)
+    const initialTimer = setTimeout(() => {
+      checkUpdate();
+    }, 5000); // 5 segundos após o app carregar
+
+    // Verificar periodicamente
+    const interval = setInterval(() => {
+      checkUpdate();
+    }, 6 * 60 * 60 * 1000); // 6 horas
+
+    return () => {
+      clearTimeout(initialTimer);
+      clearInterval(interval);
+    };
+  }, [autoCheckEnabled, checkUpdate]);
+
+  return {
+    currentVersion,
+    updateAvailable,
+    updateInfo,
+    isChecking,
+    isDownloading,
+    downloadProgress,
+    error,
+    checkUpdate,
+    installUpdate,
+  };
+}
+

hooks/use-auto-labeling-model.ts

@@ -0,0 +1,59 @@
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { listen } from '@tauri-apps/api/event';
+
+const TARGET_MODEL = "qwen2.5:0.5b";
+
+export function useAutoLabelingModel() {
+  const [isReady, setIsReady] = useState(false);
+  const [isDownloading, setIsDownloading] = useState(false);
+  const [progress, setProgress] = useState<string>("");
+
+  useEffect(() => {
+    checkAndDownload();
+  }, []);
+
+  const checkAndDownload = async () => {
+    try {
+      const installed = await invoke<boolean>('check_if_model_installed', { name: TARGET_MODEL });
+      if (installed) {
+        setIsReady(true);
+        return;
+      }
+
+      setIsDownloading(true);
+      // Listen for progress
+      const unlisten = await listen<string>('download-progress', (event) => {
+        const payload = typeof event.payload === 'string' ? event.payload : String(event.payload);
+        
+        // Try to parse as JSON, if fails use as plain text
+        try {
+            const data = JSON.parse(payload);
+            if (data.total && data.completed) {
+                const percent = Math.round((data.completed / data.total) * 100);
+                setProgress(`Baixando modelo de IA (${percent}%)`);
+            } else if (data.status) {
+                setProgress(data.status);
+            } else {
+                setProgress("Baixando...");
+            }
+        } catch {
+            // Use payload as-is if it's not JSON
+            setProgress(payload || "Baixando...");
+        }
+      });
+
+      await invoke('pull_model', { name: TARGET_MODEL });
+      
+      unlisten();
+      setIsDownloading(false);
+      setIsReady(true);
+    } catch (error) {
+      console.error("Failed to setup auto-labeling model:", error);
+      setIsDownloading(false);
+    }
+  };
+
+  return { isReady, isDownloading, progress };
+}
+

hooks/use-batch-verify.ts

@@ -0,0 +1,190 @@
+import { useState, useCallback } from 'react';
+import { BATCH_VERIFY_PROMPTS } from '@/data/prompts/batch-verify';
+import type { ScrapedContent } from '@/services/webSearch';
+
+export type BatchVerifyStep = 'idle' | 'planning' | 'searching' | 'validating' | 'formulating' | 'complete' | 'error';
+
+export interface BatchVerifyLog {
+  stage: 'decomposition' | 'validation' | 'fallback';
+  timestamp: number;
+  input: string;
+  rawOutput?: string;
+  parsedOutput?: any;
+  error?: string;
+}
+
+export interface BatchVerifyState {
+  step: BatchVerifyStep;
+  plan: string[];
+  results: Map<string, ScrapedContent[]>;
+  validationReport: string;
+  error?: string;
+  logs: BatchVerifyLog[];
+}
+
+export function useBatchVerify() {
+  const [state, setState] = useState<BatchVerifyState>({
+    step: 'idle',
+    plan: [],
+    results: new Map(),
+    validationReport: '',
+    logs: [],
+  });
+
+  const addLog = (log: BatchVerifyLog) => {
+    setState(s => ({ ...s, logs: [...s.logs, log] }));
+  };
+
+  const callLLM = async (model: string, prompt: string, json = false) => {
+    try {
+      const response = await fetch('http://localhost:11434/api/generate', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model,
+          prompt,
+          stream: false,
+          format: json ? 'json' : undefined,
+          options: {
+            temperature: 0.3,
+            num_predict: 1024,
+          },
+        }),
+      });
+
+      if (!response.ok) throw new Error('Failed to call LLM');
+      const data = await response.json();
+      return data.response;
+    } catch (e) {
+      console.error('LLM Call Error:', e);
+      throw e;
+    }
+  };
+
+  const decompose = useCallback(async (query: string, model: string) => {
+    setState(s => ({ ...s, step: 'planning', error: undefined, logs: [] }));
+    const startTime = Date.now();
+    
+    try {
+      const prompt = BATCH_VERIFY_PROMPTS.DECOMPOSITION.replace('{{userQuery}}', query);
+      const response = await callLLM(model, prompt, true);
+      
+      // Parse JSON response
+      let plan: string[] = [];
+      let parseError = undefined;
+      try {
+        plan = JSON.parse(response);
+        if (!Array.isArray(plan)) throw new Error('Not an array');
+      } catch (e) {
+        console.warn('Failed to parse JSON plan, falling back to raw split', e);
+        parseError = 'JSON Parse Failed';
+        plan = response.split('\n').filter((l: string) => l.trim().length > 0).slice(0, 3);
+      }
+
+      // --- Safety Check ---
+      // Ensure at least one generated query contains keywords from the original query
+      // This prevents hallucinations like "Garuva" -> "brackets"
+      const keywords = query.toLowerCase().split(/\s+/).filter(w => w.length > 3); // filter small words
+      const isRelevant = plan.some(q => 
+        keywords.some(k => q.toLowerCase().includes(k))
+      );
+
+      if (!isRelevant && keywords.length > 0) {
+        console.warn('Decomposition Safety Check Failed: Generated queries are irrelevant.', { plan, query });
+        
+        addLog({
+            stage: 'decomposition',
+            timestamp: Date.now(),
+            input: prompt,
+            rawOutput: response,
+            parsedOutput: plan,
+            error: 'Safety Check Failed: Plan irrelevant to query'
+        });
+        
+        // Fallback to original query
+        plan = [query];
+      } else {
+          addLog({
+            stage: 'decomposition',
+            timestamp: Date.now(),
+            input: prompt,
+            rawOutput: response,
+            parsedOutput: plan,
+            error: parseError
+          });
+      }
+
+      setState(s => ({ ...s, plan }));
+      return plan;
+    } catch (error) {
+      const errorMessage = error instanceof Error ? error.message : 'Unknown error';
+      setState(s => ({ ...s, step: 'error', error: 'Failed to create research plan' }));
+      
+      addLog({
+        stage: 'decomposition',
+        timestamp: Date.now(),
+        input: query,
+        error: errorMessage
+      });
+      
+      return [];
+    }
+  }, []);
+
+  const validate = useCallback(async (results: Map<string, ScrapedContent[]>, model: string) => {
+    setState(s => ({ ...s, step: 'validating', results }));
+    try {
+      let resultsText = '';
+      results.forEach((docs, query) => {
+        resultsText += `\nQuery: "${query}"\n`;
+        docs.forEach(doc => {
+          resultsText += `- [${doc.title}](${doc.url}): ${doc.markdown.substring(0, 300)}...\n`;
+        });
+      });
+
+      const prompt = BATCH_VERIFY_PROMPTS.VALIDATION.replace('{{searchResults}}', resultsText);
+      const report = await callLLM(model, prompt);
+      
+      addLog({
+        stage: 'validation',
+        timestamp: Date.now(),
+        input: prompt,
+        rawOutput: report,
+        parsedOutput: report
+      });
+
+      setState(s => ({ ...s, validationReport: report }));
+      return report;
+    } catch (error) {
+      const errorMessage = error instanceof Error ? error.message : 'Unknown error';
+      setState(s => ({ ...s, step: 'error', error: 'Validation failed' }));
+      
+      addLog({
+        stage: 'validation',
+        timestamp: Date.now(),
+        input: 'Validation phase',
+        error: errorMessage
+      });
+
+      return '';
+    }
+  }, []);
+
+  const reset = useCallback(() => {
+    setState({
+      step: 'idle',
+      plan: [],
+      results: new Map(),
+      validationReport: '',
+      logs: [],
+    });
+  }, []);
+
+  return {
+    state,
+    decompose,
+    validate,
+    reset,
+    setStep: (step: BatchVerifyStep) => setState(s => ({ ...s, step }))
+  };
+}

hooks/use-chat-storage.ts

@@ -0,0 +1,560 @@
+import { useState, useEffect, useCallback, useRef } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { Message } from './use-chat';
+import { removeMetadataNoise } from '@/lib/metadata';
+
+export interface SessionSummary {
+  id: string;
+  title: string;
+  emoji: string;
+  updated_at: string;
+  preview: string;
+  platform: string;
+  match_count?: number;
+}
+
+/** Resultado de carregamento paginado do backend */
+interface PaginatedHistoryResult {
+  messages: Array<{
+    role: string;
+    content: string;
+    metadata?: unknown;
+  }>;
+  total_count: number;
+  has_more: boolean;
+}
+
+/** Estado de paginação para uma sessão */
+export interface PaginationState {
+  totalCount: number;
+  hasMore: boolean;
+  offset: number;
+  isLoadingMore: boolean;
+}
+
+/** Número de mensagens a carregar por página */
+const MESSAGES_PER_PAGE = 30;
+
+const TITLE_MODEL = "qwen2.5:0.5b";
+
+// Helper to generate fallback title from user's first message
+function getFallbackTitleFromMessages(messages: Message[]): string {
+  // Find the first user message
+  const firstUserMessage = messages.find(msg => msg.role === 'user');
+  
+  if (firstUserMessage && firstUserMessage.content) {
+    // Clean the content (remove metadata tags if any)
+    let content = firstUserMessage.content.replace(/<metadata>[\s\S]*?<\/metadata>/gi, '').trim();
+    
+    // Truncate to 50 characters
+    if (content.length > 50) {
+      content = content.substring(0, 50).trim() + '...';
+    }
+    
+    return content || "Nova Conversa";
+  }
+  
+  return "Nova Conversa";
+}
+
+export function useChatStorage() {
+  const [sessions, setSessions] = useState<SessionSummary[]>([]);
+  const [currentSessionId, setCurrentSessionId] = useState<string | null>(null);
+  const [isGeneratingTitle, setIsGeneratingTitle] = useState(false);
+  const [searchQuery, setSearchQuery] = useState<string>('');
+  const [isSearching, setIsSearching] = useState(false);
+  
+  // Estado de paginação por sessão
+  const [paginationState, setPaginationState] = useState<PaginationState>({
+    totalCount: 0,
+    hasMore: false,
+    offset: 0,
+    isLoadingMore: false,
+  });
+  
+  // Ref para evitar múltiplos loads simultâneos
+  const loadingMoreRef = useRef(false);
+
+  const loadSessions = useCallback(async () => {
+    try {
+      const list = await invoke<SessionSummary[]>('load_chat_sessions');
+      setSessions(list);
+    } catch (error) {
+      console.error("Failed to load sessions:", error);
+    }
+  }, []);
+  
+  const searchSessions = useCallback(async (query: string) => {
+    if (!query || query.trim().length < 2) {
+      // Se query muito curta, carregar todas as sessões
+      await loadSessions();
+      return;
+    }
+    
+    setIsSearching(true);
+    try {
+      const results = await invoke<SessionSummary[]>('search_chat_sessions', {
+        query: query.trim(),
+        limit: 50
+      });
+      setSessions(results);
+    } catch (error) {
+      console.error("Failed to search sessions:", error);
+      // Em caso de erro, carregar todas as sessões
+      await loadSessions();
+    } finally {
+      setIsSearching(false);
+    }
+  }, [loadSessions]);
+
+  /**
+   * Carrega histórico de uma sessão com paginação (lazy loading)
+   * 
+   * Por padrão, carrega as últimas MESSAGES_PER_PAGE mensagens.
+   * Retorna as mensagens e atualiza o estado de paginação.
+   */
+  const loadSessionHistory = useCallback(async (
+    id: string,
+    options?: { loadAll?: boolean }
+  ): Promise<Message[]> => {
+    try {
+      // Reset pagination state
+      setPaginationState({
+        totalCount: 0,
+        hasMore: false,
+        offset: 0,
+        isLoadingMore: false,
+      });
+      
+      // Se loadAll = true, usa o comando antigo que carrega tudo
+      if (options?.loadAll) {
+        const rawMessages = await invoke<Array<{
+          role: string;
+          content: string;
+          metadata?: unknown;
+        }>>('load_chat_history', { id });
+        
+        return rawMessages.map(msg => ({
+          role: (msg.role === 'user' || msg.role === 'assistant' || msg.role === 'system') 
+            ? msg.role as 'user' | 'assistant' | 'system'
+            : 'user' as const,
+          content: msg.content || '',
+          metadata: msg.metadata || undefined
+        }));
+      }
+      
+      // Usar paginação: carregar últimas N mensagens
+      const result = await invoke<PaginatedHistoryResult>('load_chat_history_paginated', {
+        id,
+        limit: MESSAGES_PER_PAGE,
+        offset: 0
+      });
+      
+      // Atualizar estado de paginação
+      setPaginationState({
+        totalCount: result.total_count,
+        hasMore: result.has_more,
+        offset: result.messages.length,
+        isLoadingMore: false,
+      });
+      
+      // Converter para tipo Message
+      return result.messages.map(msg => ({
+        role: (msg.role === 'user' || msg.role === 'assistant' || msg.role === 'system') 
+          ? msg.role as 'user' | 'assistant' | 'system'
+          : 'user' as const,
+        content: msg.content || '',
+        metadata: msg.metadata || undefined
+      }));
+    } catch (error) {
+      console.error("Failed to load history:", error);
+      
+      // Fallback: tentar carregar tudo com o comando antigo
+      try {
+        const rawMessages = await invoke<Array<{
+          role: string;
+          content: string;
+          metadata?: unknown;
+        }>>('load_chat_history', { id });
+        
+        return rawMessages.map(msg => ({
+          role: (msg.role === 'user' || msg.role === 'assistant' || msg.role === 'system') 
+            ? msg.role as 'user' | 'assistant' | 'system'
+            : 'user' as const,
+          content: msg.content || '',
+          metadata: msg.metadata || undefined
+        }));
+      } catch {
+        return [];
+      }
+    }
+  }, []);
+
+  /**
+   * Carrega mais mensagens antigas (scroll infinito reverso)
+   * 
+   * Chamado quando o usuário faz scroll para o topo do chat.
+   * Retorna as mensagens anteriores que devem ser prepend ao estado.
+   */
+  const loadMoreMessages = useCallback(async (
+    sessionId: string
+  ): Promise<Message[]> => {
+    // Evitar múltiplos loads simultâneos
+    if (loadingMoreRef.current || !paginationState.hasMore) {
+      return [];
+    }
+    
+    loadingMoreRef.current = true;
+    setPaginationState(prev => ({ ...prev, isLoadingMore: true }));
+    
+    try {
+      const result = await invoke<PaginatedHistoryResult>('load_chat_history_paginated', {
+        id: sessionId,
+        limit: MESSAGES_PER_PAGE,
+        offset: paginationState.offset
+      });
+      
+      // Atualizar estado de paginação
+      setPaginationState(prev => ({
+        ...prev,
+        hasMore: result.has_more,
+        offset: prev.offset + result.messages.length,
+        isLoadingMore: false,
+      }));
+      
+      // Converter para tipo Message
+      return result.messages.map(msg => ({
+        role: (msg.role === 'user' || msg.role === 'assistant' || msg.role === 'system') 
+          ? msg.role as 'user' | 'assistant' | 'system'
+          : 'user' as const,
+        content: msg.content || '',
+        metadata: msg.metadata || undefined
+      }));
+    } catch (error) {
+      console.error("Failed to load more messages:", error);
+      setPaginationState(prev => ({ ...prev, isLoadingMore: false }));
+      return [];
+    } finally {
+      loadingMoreRef.current = false;
+    }
+  }, [paginationState.hasMore, paginationState.offset]);
+
+  const deleteSession = useCallback(async (id: string) => {
+    try {
+      await invoke('delete_chat_session', { id });
+      await loadSessions();
+      if (currentSessionId === id) {
+        setCurrentSessionId(null);
+      }
+    } catch (error) {
+      console.error("Failed to delete session:", error);
+    }
+  }, [currentSessionId, loadSessions]);
+
+  const generateTitleFromUserMessage = async (userMessage: string): Promise<string> => {
+    // Generate title immediately from user's first message
+    try {
+      const response = await fetch('http://localhost:11434/api/chat', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model: TITLE_MODEL,
+          messages: [
+            { role: 'system', content: 'Generate a short title (3-5 words) for a chat conversation based on this user message. Output ONLY the title, no explanation.' },
+            { role: 'user', content: userMessage }
+          ],
+          stream: false,
+        }),
+      });
+
+      if (!response.ok) {
+        // If model not available, use fallback
+        if (response.status === 404 || response.status >= 500) {
+          throw new Error(`Model ${TITLE_MODEL} not available (status: ${response.status})`);
+        }
+        throw new Error(`Title generation failed with status: ${response.status}`);
+      }
+      
+      const data = await response.json();
+      let title = data.message?.content?.trim() || "";
+      
+      // If empty from start, use fallback
+      if (!title || title.length === 0) {
+        throw new Error("Empty title returned from model");
+      }
+      
+      // Remove quotes if present (both single and double)
+      title = title.replace(/^["']+|["']+$/g, '').trim();
+      
+      // Remove any metadata tags that might have leaked through
+      title = title.replace(/<metadata>[\s\S]*?<\/metadata>/gi, '').trim();
+      
+      // Check if title is empty or contains only whitespace/punctuation
+      if (!title || title.length === 0 || /^[\s\W]*$/.test(title)) {
+        throw new Error("Title became empty or invalid after cleaning");
+      }
+      
+      // Limit title length to reasonable size (max 60 chars for safety)
+      if (title.length > 60) {
+        title = title.substring(0, 60).trim() + '...';
+      }
+      
+      return title;
+    } catch (error) {
+      console.error("Title generation failed:", error);
+      // Use user message as fallback (truncated)
+      let fallback = userMessage.trim();
+      if (fallback.length > 50) {
+        fallback = fallback.substring(0, 50).trim() + '...';
+      }
+      return fallback || "Nova Conversa";
+    }
+  };
+
+  const generateTitle = async (messages: Message[]): Promise<string> => {
+    // Only generate if we have enough context (e.g., 2 messages: user + assistant)
+    // and use a lightweight model
+    try {
+      const sanitizedMessages = messages.slice(0, 4).map(m => ({
+        ...m,
+        content: removeMetadataNoise(m.content),
+      }));
+
+      const response = await fetch('http://localhost:11434/api/chat', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model: TITLE_MODEL,
+          messages: [
+            { role: 'system', content: 'Summarize the following conversation in 3 to 5 words representing a short title. Output ONLY the title, sem metadados.' },
+            ...sanitizedMessages
+          ],
+          stream: false,
+        }),
+      });
+
+      if (!response.ok) {
+        // If model not found or unavailable, throw to trigger fallback
+        if (response.status === 404 || response.status >= 500) {
+          throw new Error(`Model ${TITLE_MODEL} not available (status: ${response.status})`);
+        }
+        // For other errors, use fallback
+        throw new Error(`Title generation failed with status: ${response.status}`);
+      }
+      
+      const data = await response.json();
+      let title = removeMetadataNoise(data.message?.content?.trim() || "");
+      
+      // If empty from start, throw to trigger fallback
+      if (!title || title.length === 0) {
+        throw new Error("Empty title returned from model");
+      }
+      
+      // Remove quotes if present (both single and double)
+      title = title.replace(/^["']+|["']+$/g, '').trim();
+      
+      // Remove any metadata tags that might have leaked through
+      title = removeMetadataNoise(title);
+      
+      // Check if title is empty or contains only whitespace/punctuation
+      if (!title || title.length === 0 || /^[\s\W]*$/.test(title)) {
+        throw new Error("Title became empty or invalid after cleaning");
+      }
+      
+      // Limit title length to reasonable size (max 60 chars for safety)
+      if (title.length > 60) {
+        title = title.substring(0, 60).trim() + '...';
+      }
+      
+      return title;
+    } catch (error) {
+      console.error("Title generation failed:", error);
+      // Don't return "Nova Conversa" here - let the caller use the fallback
+      throw error;
+    }
+  };
+
+  const saveSession = useCallback(async (id: string, messages: Message[], currentTitle?: string) => {
+    if (messages.length === 0) return;
+
+    // Check if session already exists and has a valid title
+    const existingSession = sessions.find(s => s.id === id);
+    const existingTitle = existingSession?.title;
+    
+    // If session already exists with a valid title, always update it
+    if (existingSession && existingTitle && existingTitle !== "Nova Conversa") {
+      const title = currentTitle || existingTitle;
+      
+      // Extract memory context from metadata keywords
+      const memoryContext: string[] = [];
+      messages.forEach(msg => {
+        if (msg.role === 'assistant' && msg.metadata?.keywords) {
+          const keywords = Array.isArray(msg.metadata.keywords) 
+            ? msg.metadata.keywords 
+            : [];
+          memoryContext.push(...keywords.filter(k => typeof k === 'string'));
+        }
+      });
+      const uniqueMemoryContext = Array.from(new Set(memoryContext));
+
+      const platform = typeof navigator !== 'undefined' 
+        ? navigator.platform || navigator.userAgent.split(' ')[0] || 'Unknown'
+        : 'Unknown';
+
+      try {
+        await invoke('save_chat_session', { 
+          id, 
+          title, 
+          messages,
+          platform: platform,
+          memory_context: uniqueMemoryContext
+        });
+        await loadSessions();
+      } catch (error) {
+        console.error("Failed to save session:", error);
+      }
+      return;
+    }
+
+    // For new sessions, only save after title is generated
+    // Check if we have at least user + assistant (first complete response)
+    if (messages.length < 2) {
+      // Don't save yet - wait for first AI response
+      return;
+    }
+
+    let title: string | null = currentTitle || null;
+    let shouldGenerateTitle = !currentTitle;
+
+    // Check for metadata title in assistant messages (prioritize title over summary)
+    if (shouldGenerateTitle) {
+      for (const msg of messages) {
+        if (msg.role === 'assistant' && msg.metadata) {
+          // Prioritize title, fallback to summary
+          if (msg.metadata.title) {
+            const titleStr = msg.metadata.title.trim();
+            if (titleStr && titleStr !== "") {
+              title = titleStr;
+              shouldGenerateTitle = false;
+              break;
+            }
+          } else if (msg.metadata.summary) {
+            const summary = msg.metadata.summary.trim();
+            if (summary && summary !== "") {
+              title = summary;
+              shouldGenerateTitle = false;
+              break;
+            }
+          }
+        }
+      }
+    }
+
+    // Extract memory context from metadata keywords
+    const memoryContext: string[] = [];
+    messages.forEach(msg => {
+      if (msg.role === 'assistant' && msg.metadata?.keywords) {
+        const keywords = Array.isArray(msg.metadata.keywords) 
+          ? msg.metadata.keywords 
+          : [];
+        memoryContext.push(...keywords.filter(k => typeof k === 'string'));
+      }
+    });
+    // Deduplicate
+    const uniqueMemoryContext = Array.from(new Set(memoryContext));
+
+    // Detect platform
+    const platform = typeof navigator !== 'undefined' 
+      ? navigator.platform || navigator.userAgent.split(' ')[0] || 'Unknown'
+      : 'Unknown';
+
+    // If we have title from metadata, save immediately
+    if (title && !shouldGenerateTitle) {
+      try {
+        await invoke('save_chat_session', { 
+          id, 
+          title, 
+          messages,
+          platform: platform,
+          memory_context: uniqueMemoryContext
+        });
+        await loadSessions();
+      } catch (error) {
+        console.error("Failed to save session:", error);
+      }
+      return;
+    }
+
+    // Auto-generate title using separate model - only create card when title is ready
+    if (shouldGenerateTitle && !isGeneratingTitle) {
+      setIsGeneratingTitle(true);
+      generateTitle(messages)
+        .then(async (newTitle) => {
+          setIsGeneratingTitle(false);
+          // Now create the card with the generated title
+          try {
+            await invoke('save_chat_session', { 
+              id, 
+              title: newTitle, 
+              messages,
+              platform: platform,
+              memory_context: uniqueMemoryContext
+            });
+            await loadSessions();
+          } catch (e) {
+            console.error("Failed to save session with generated title:", e);
+            setIsGeneratingTitle(false);
+          }
+        })
+        .catch((error) => {
+          setIsGeneratingTitle(false);
+          // On error, use fallback title from user's first message
+          // Only log if it's not an expected error (empty title, model unavailable)
+          const isExpectedError = error.message?.includes("Empty title") || 
+                                  error.message?.includes("not available") ||
+                                  error.message?.includes("invalid after cleaning");
+          
+          if (!isExpectedError) {
+            console.error("Title generation error:", error);
+          } else {
+            console.log(`Title generation failed (expected): ${error.message}`);
+          }
+          
+          const fallbackTitle = getFallbackTitleFromMessages(messages);
+          console.log(`Using fallback title from user message: "${fallbackTitle}"`);
+          
+          invoke('save_chat_session', {
+            id,
+            title: fallbackTitle,
+            messages,
+            platform: platform,
+            memory_context: uniqueMemoryContext
+          }).then(() => loadSessions()).catch(e => console.error("Failed to save session with fallback:", e));
+        });
+    }
+  }, [loadSessions, isGeneratingTitle, sessions, generateTitle]);
+
+  // Initial load
+  useEffect(() => {
+    loadSessions();
+  }, [loadSessions]);
+
+  return {
+    sessions,
+    currentSessionId,
+    setCurrentSessionId,
+    loadSessions,
+    loadSessionHistory,
+    loadMoreMessages,
+    paginationState,
+    saveSession,
+    deleteSession,
+    isGeneratingTitle,
+    setIsGeneratingTitle,
+    generateTitleFromUserMessage,
+    searchSessions,
+    searchQuery,
+    setSearchQuery,
+    isSearching
+  };
+}

hooks/use-chat.ts

@@ -1,89 +1,527 @@
-import { useState, useRef } from 'react';
+import { useState, useRef, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { listen } from '@tauri-apps/api/event';
+import { removeMetadataNoise } from '@/lib/metadata';
+import { useSettingsStore } from '@/store/settings-store';
+
+export type ThinkingStepType = 
+  | 'preprocessing'
+  | 'web-research'
+  | 'sources-found'
+  | 'processing'
+  | 'response-generation'
+  | 'fallback'
+  | 'error';
+
+export type ThinkingStepStatus = 'running' | 'completed' | 'error';
+
+export interface ThinkingMessageMetadata {
+  type: 'thinking';
+  stepType: ThinkingStepType;
+  status: ThinkingStepStatus;
+  label: string;
+  progress?: number; // 0-100
+  details?: string;
+  sources?: Array<{ url: string; title: string }>;
+  error?: string;
+  timestamp: number;
+  duration?: number;
+}
 
 export interface Message {
   role: 'user' | 'assistant' | 'system';
   content: string;
+  metadata?: any | ThinkingMessageMetadata;
+}
+
+interface ToolCall {
+  server_name: string;
+  tool_name: string;
+  arguments: any;
+}
+
+function parseMetadata(fullContent: string): { content: string, metadata?: any } {
+  if (!fullContent || fullContent.trim() === '') {
+    return { content: fullContent || '' };
+  }
+  
+  // More flexible regex that handles whitespace and line breaks (case-insensitive)
+  const metadataRegex = /<metadata>\s*([\s\S]*?)\s*<\/metadata>/gi;
+  
+  // First, extract all metadata blocks
+  const metadataMatches: Array<{ match: string, json: any }> = [];
+  let match;
+  let lastIndex = 0;
+  
+  while ((match = metadataRegex.exec(fullContent)) !== null) {
+    const metadataStr = match[1].trim();
+    try {
+      const json = JSON.parse(metadataStr);
+      metadataMatches.push({ match: match[0], json });
+    } catch (e) {
+      // Invalid JSON, just remove the tag
+      console.error("Failed to parse metadata JSON", e, "Raw:", metadataStr);
+    }
+    lastIndex = metadataRegex.lastIndex;
+  }
+  
+  // Remove ALL metadata blocks from content
+  let content = fullContent.replace(/<metadata>\s*[\s\S]*?\s*<\/metadata>/gi, '').trim();
+  content = removeMetadataNoise(content);
+  
+  // Also remove common prefixes if they appear at the end of the content
+  const prefixes = [
+    'Bloco oculto de metadados:',
+    'Metadata:',
+    'Metadados:',
+    'Hidden metadata block:',
+    'JSON metadata:',
+    '---'
+  ];
+  
+  for (const prefix of prefixes) {
+    const regex = new RegExp(`${prefix}\\s*$`, 'i');
+    if (regex.test(content)) {
+      content = content.replace(regex, '').trim();
+    }
+  }
+  
+  // Ensure we don't return empty content if there was content before metadata
+  if (!content && fullContent.length > 0) {
+    // If all content was metadata, keep nothing (shouldn't happen but safe fallback)
+    content = '';
+  }
+  
+  // Return first valid metadata (if any)
+  const metadata = metadataMatches.length > 0 ? metadataMatches[0].json : undefined;
+  
+  return { content, metadata };
+}
+
+// Helper to strip metadata in real-time during streaming (for display)
+function stripMetadataTag(content: string): string {
+  if (!content) return '';
+  
+  // Common prefixes that models might output before the metadata block
+  const prefixes = [
+    'Bloco oculto de metadados:',
+    'Metadata:',
+    'Metadados:',
+    'Hidden metadata block:',
+    'JSON metadata:',
+    '---'
+  ];
+  
+  let cleaned = content;
+  
+  // Remove any metadata tags (complete or incomplete) for real-time display
+  // Case-insensitive regex to catch variations
+  cleaned = cleaned.replace(/<metadata>[\s\S]*?$/gi, '').replace(/<metadata>[\s\S]*?<\/metadata>/gi, '').trim();
+  
+  // Aggressively strip known prefixes if they appear at the very end of the content
+  // This helps hide "Bloco oculto de metadados:" while the tag is being generated
+  for (const prefix of prefixes) {
+    const regex = new RegExp(`${prefix}\\s*$`, 'i');
+    if (regex.test(cleaned)) {
+      cleaned = cleaned.replace(regex, '').trim();
+    }
+  }
+  
+  return removeMetadataNoise(cleaned);
+}
+
+// Helper to detect tool calls in LLM response
+export function detectToolCalls(content: string, availableTools: any[]): ToolCall[] {
+  const toolCalls: ToolCall[] = [];
+  
+  // Simple pattern matching for tool calls
+  // Pattern: "use tool X with args Y" or "execute X(args)"
+  // This is a basic implementation - can be enhanced with better NLP
+  
+  // Look for common patterns
+  const patterns = [
+    // Pattern 1: "use [tool_name] with [args]" or "use [tool_name] (args)"
+    /(?:use|call|execute|run)\s+([a-z_]+)\s+(?:with|\(|\[)\s*([^\n)]+)/gi,
+    // Pattern 2: "[tool_name](args)"
+    /([a-z_]+)\s*\(([^)]+)\)/gi,
+  ];
+  
+  for (const pattern of patterns) {
+    let match;
+    while ((match = pattern.exec(content)) !== null) {
+      const potentialToolName = match[1].toLowerCase().trim();
+      const potentialArgs = match[2]?.trim() || '{}';
+      
+      // Find matching tool in available tools
+      for (const toolInfo of availableTools) {
+        if (toolInfo.tool.name.toLowerCase() === potentialToolName) {
+          // Try to parse arguments
+          let args: any = {};
+          try {
+            // Try JSON first
+            args = JSON.parse(potentialArgs);
+          } catch {
+            // If not JSON, try to parse key-value pairs
+            try {
+              // Simple key=value parsing
+              const pairs = potentialArgs.split(',').map(p => p.trim());
+              args = {};
+              for (const pair of pairs) {
+                const [key, value] = pair.split('=').map(s => s.trim());
+                if (key && value) {
+                  args[key] = value.replace(/^["']|["']$/g, '');
+                }
+              }
+            } catch {
+              // If all fails, use empty object
+              args = {};
+            }
+          }
+          
+          toolCalls.push({
+            server_name: toolInfo.server_name,
+            tool_name: toolInfo.tool.name,
+            arguments: args,
+          });
+          break;
+        }
+      }
+    }
+  }
+  
+  return toolCalls;
+}
+
+// Helper to execute a tool call
+export async function executeToolCall(toolCall: ToolCall): Promise<string> {
+  try {
+    const result = await invoke<any>('call_mcp_tool', {
+      serverName: toolCall.server_name,
+      toolName: toolCall.tool_name,
+      arguments: toolCall.arguments,
+    });
+    
+    // Format result for display
+    if (typeof result === 'string') {
+      return result;
+    } else if (result.content) {
+      return result.content;
+    } else {
+      return JSON.stringify(result, null, 2);
+    }
+  } catch (error) {
+    console.error('Tool execution error:', error);
+    return `Error executing tool ${toolCall.tool_name}: ${error instanceof Error ? error.message : 'Unknown error'}`;
+  }
+}
+
+// Tipos para eventos Tauri
+interface ChatCreatedEvent {
+  session_id: string;
+  title: string;
+  emoji: string;
+}
+
+interface ChatTokenEvent {
+  session_id: string;
+  content: string;
+  done: boolean;
+}
+
+interface ChatErrorEvent {
+  session_id: string;
+  error: string;
 }
 
 export function useChat() {
   const [messages, setMessages] = useState<Message[]>([]);
   const [isLoading, setIsLoading] = useState(false);
   const abortControllerRef = useRef<AbortController | null>(null);
+  const rawContentRef = useRef<string>(''); // Track raw content including metadata during streaming
+  const currentSessionIdRef = useRef<string | null>(null);
+  const lastTokenRef = useRef<string>(''); // Track last token to detect duplicates
+  const renderScheduledRef = useRef<boolean>(false);
+  const rafIdRef = useRef<number | null>(null);
+  
+  // Função para atualizar o estado visual com o conteúdo acumulado
+  const flushToState = () => {
+    renderScheduledRef.current = false;
+    const displayContent = stripMetadataTag(rawContentRef.current);
+    setMessages(prev => {
+      const last = prev[prev.length - 1];
+      if (last && last.role === 'assistant') {
+        return [...prev.slice(0, -1), { ...last, content: displayContent }];
+      }
+      return [...prev, { role: 'assistant', content: displayContent }];
+    });
+  };
 
-  const sendMessage = async (content: string, model: string, systemPrompt?: string) => {
+  // Agendar flush com requestAnimationFrame (limita a ~60fps)
+  const scheduleFlush = () => {
+    if (!renderScheduledRef.current) {
+      renderScheduledRef.current = true;
+      rafIdRef.current = requestAnimationFrame(flushToState);
+    }
+  };
+  
+  // Listener para eventos do Rust
+  useEffect(() => {
+    let unlistenCreated: (() => void) | null = null;
+    let unlistenToken: (() => void) | null = null;
+    let unlistenError: (() => void) | null = null;
+    
+    // Listener para chat-created (título gerado)
+    listen<ChatCreatedEvent>('chat-created', (event) => {
+      const { session_id, title, emoji } = event.payload;
+      currentSessionIdRef.current = session_id;
+      // TODO: Atualizar sidebar com novo chat (será implementado no componente de sidebar)
+      console.log('Chat criado:', { session_id, title, emoji });
+    }).then(unlisten => {
+      unlistenCreated = unlisten;
+    });
+    
+    // Listener para chat-token (streaming de tokens)
+    listen<ChatTokenEvent>('chat-token', (event) => {
+      const { content, done } = event.payload;
+      
+      if (content && content.length > 0) {
+        // Detecção de duplicatas (MANTER LÓGICA ORIGINAL)
+        if (content === lastTokenRef.current && rawContentRef.current.endsWith(content)) {
+          if (process.env.NODE_ENV === 'development') {
+            console.warn('Token duplicado detectado, ignorando:', content.substring(0, 30));
+          }
+          return;
+        }
+        
+        lastTokenRef.current = content;
+        rawContentRef.current += content;
+        
+        // MUDANÇA: Agendar flush em vez de chamar setMessages diretamente
+        scheduleFlush();
+      }
+      
+      if (done) {
+        // Cancelar qualquer flush pendente
+        if (rafIdRef.current !== null) {
+          cancelAnimationFrame(rafIdRef.current);
+          rafIdRef.current = null;
+          renderScheduledRef.current = false;
+        }
+        
+        // Flush IMEDIATO com processamento de metadata
+        setMessages(prev => {
+          const last = prev[prev.length - 1];
+          if (last && last.role === 'assistant') {
+            const rawContent = rawContentRef.current;
+            const { content: finalContent, metadata } = parseMetadata(rawContent);
+            rawContentRef.current = '';
+            lastTokenRef.current = '';
+            return [...prev.slice(0, -1), { ...last, content: finalContent || last.content, metadata }];
+          }
+          return prev;
+        });
+        setIsLoading(false);
+      }
+    }).then(unlisten => {
+      unlistenToken = unlisten;
+    });
+    
+    // Listener para chat-error
+    listen<ChatErrorEvent>('chat-error', (event) => {
+      const { error } = event.payload;
+      console.error('Erro no chat:', error);
+      setIsLoading(false);
+      // TODO: Mostrar erro ao usuário
+    }).then(unlisten => {
+      unlistenError = unlisten;
+    });
+    
+    // Cleanup
+    return () => {
+      unlistenCreated?.();
+      unlistenToken?.();
+      unlistenError?.();
+      // Cancelar RAF pendente
+      if (rafIdRef.current !== null) {
+        cancelAnimationFrame(rafIdRef.current);
+      }
+    };
+  }, []);
+
+  const sendMessage = async (
+    content: string,
+    model: string,
+    systemPrompt?: string,
+    options?: {
+      onBeforeModelRequest?: (pendingMessages: Message[]) => Promise<void>;
+      // Quando presente, substitui SOMENTE o conteúdo da última mensagem do usuário
+      // no payload enviado ao LLM, mantendo a UI com o conteúdo original.
+      payloadContentOverride?: string;
+    }
+  ) => {
     setIsLoading(true);
     
-    const newMessages: Message[] = [
-      ...messages,
-      { role: 'user', content }
-    ];
+    // Verificar se a última mensagem já é do usuário (para evitar duplicação)
+    // Se for, usar as mensagens existentes; caso contrário, adicionar nova mensagem do usuário
+    const lastMessage = messages[messages.length - 1];
+    const newMessages: Message[] = lastMessage?.role === 'user' && lastMessage?.content === content
+      ? [...messages] // Já existe, não adicionar novamente
+      : [...messages, { role: 'user', content }]; // Adicionar nova mensagem do usuário
+    
     setMessages(newMessages);
 
     // Prepare messages for API (include system prompt if present)
-    const apiMessages = systemPrompt 
-      ? [{ role: 'system', content: systemPrompt }, ...newMessages]
-      : newMessages;
+    // Strip metadata from previous messages before sending to context to save tokens?
+    // Or keep it? The model might benefit from seeing previous metadata.
+    // Let's keep it for now, but we need to make sure we send what the API expects.
+    // Ollama API expects { role, content }. It ignores extra fields usually, but let's be safe.
+    if (options?.onBeforeModelRequest) {
+      await options.onBeforeModelRequest(newMessages);
+    }
 
-    abortControllerRef.current = new AbortController();
+    // Aplicar janela deslizante para limitar contexto
+    const settings = useSettingsStore.getState();
+    const maxTokens = settings.contextWindow || 4096;
+    const maxMessages = 10; // Máximo de mensagens a manter
+    
+    // Estimar tokens (aproximação: 1 token ≈ 4 caracteres)
+    function estimateTokens(text: string): number {
+      return Math.ceil(text.length / 4);
+    }
+    
+    // Aplicar janela deslizante: manter últimas N mensagens que cabem no limite de tokens
+    let truncatedMessages = [...newMessages];
+    let totalTokens = systemPrompt ? estimateTokens(systemPrompt) : 0;
+    
+    // Sempre manter a última mensagem do usuário
+    const lastUserMessage = truncatedMessages[truncatedMessages.length - 1];
+    truncatedMessages = truncatedMessages.slice(0, -1);
+    
+    // Adicionar mensagens de trás para frente até atingir o limite
+    const selectedMessages: Message[] = [];
+    for (let i = truncatedMessages.length - 1; i >= 0; i--) {
+      const msg = truncatedMessages[i];
+      const msgTokens = estimateTokens(msg.content);
+      
+      // Limitar por número de mensagens E por tokens
+      if (selectedMessages.length >= maxMessages - 1) break; // -1 porque vamos adicionar a última depois
+      if (totalTokens + msgTokens > maxTokens * 0.9) break; // 90% do limite para margem de segurança
+      
+      selectedMessages.unshift(msg);
+      totalTokens += msgTokens;
+    }
+    
+    // Adicionar a última mensagem do usuário
+    selectedMessages.push(lastUserMessage);
+    totalTokens += estimateTokens(lastUserMessage.content);
+
+    // Constrói mensagens para payload, aplicando override apenas à última mensagem do usuário
+    const baseMessages = systemPrompt 
+      ? [{ role: 'system', content: systemPrompt }, ...selectedMessages]
+      : selectedMessages;
+
+    const apiMessages = baseMessages.map((m, idx) => {
+      // Detecta última mensagem do usuário
+      const isLastUser = m.role === 'user' && idx === baseMessages.length - 1;
+      const payloadContent = isLastUser && options?.payloadContentOverride
+        ? options.payloadContentOverride
+        : m.content;
+      return {
+        role: m.role,
+        content: payloadContent,
+      };
+    });
+
+    // [DEBUG INJECTION START]
+    const systemMsg = apiMessages.find(m => m.role === 'system');
+    console.group('📦 Debug: Ollama Payload');
+    console.log('1. Total Messages:', apiMessages.length);
+    console.log('2. Has System Message?', !!systemMsg);
+    if (systemMsg) {
+      console.log('3. System Message Length:', systemMsg.content.length);
+      console.log('4. System Content Preview:', systemMsg.content.substring(0, 300) + '...');
+      console.log('5. Web Context Present in Payload?', systemMsg.content.includes('CONTEXTO WEB RECUPERADO'));
+      if (systemMsg.content.includes('CONTEXTO WEB RECUPERADO')) {
+        const contextStart = systemMsg.content.indexOf('CONTEXTO WEB RECUPERADO');
+        console.log('6. Web Context Position in Payload:', contextStart);
+        console.log('7. Web Context Preview in Payload:', systemMsg.content.substring(contextStart, contextStart + 200) + '...');
+      }
+    } else {
+      console.error('❌ CRITICAL: System Message is MISSING in payload!');
+      console.log('Available roles:', apiMessages.map(m => m.role));
+    }
+    console.groupEnd();
+    // [DEBUG INJECTION END]
+
+    // Reset raw content buffer for this message
+    rawContentRef.current = '';
+    lastTokenRef.current = ''; // Reset last token tracker
+    
+    // Add empty assistant message to start streaming into
+    setMessages(prev => {
+      const last = prev[prev.length - 1];
+      if (last && last.role === 'assistant' && last.content === '') {
+        // Já existe mensagem vazia, não adicionar outra
+        return prev;
+      }
+      // Adicionar mensagem vazia do assistente
+      return [...prev, { role: 'assistant', content: '' }];
+    });
 
     try {
-      const response = await fetch('http://localhost:11434/api/chat', {
-        method: 'POST',
-        headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({
-          model,
-          messages: apiMessages,
-          stream: true,
-        }),
-        signal: abortControllerRef.current.signal,
-      });
-
-      if (!response.ok) throw new Error('Failed to send message');
-      if (!response.body) throw new Error('No response body');
-
-      const reader = response.body.getReader();
-      const decoder = new TextDecoder();
-      
-      // Add empty assistant message to start streaming into
-      setMessages(prev => [...prev, { role: 'assistant', content: '' }]);
-
-      while (true) {
-        const { done, value } = await reader.read();
-        if (done) break;
-
-        const chunk = decoder.decode(value, { stream: true });
-        const lines = chunk.split('\n').filter(line => line.trim() !== '');
-
-        for (const line of lines) {
-          try {
-            const json = JSON.parse(line);
-            if (json.message?.content) {
-              setMessages(prev => {
-                const last = prev[prev.length - 1];
-                if (last.role === 'assistant') {
-                  return [
-                    ...prev.slice(0, -1),
-                    { ...last, content: last.content + json.message.content }
-                  ];
-                }
-                return prev;
-              });
-            }
-            if (json.done) {
-              setIsLoading(false);
-            }
-          } catch (e) {
-            console.error('Error parsing chunk', e);
-          }
+      // Verificar se Ollama está rodando antes de fazer requisição
+      try {
+        const isRunning = await invoke<boolean>('check_ollama_running');
+        if (!isRunning) {
+          throw new Error('OllamaNotRunning');
         }
+      } catch (checkError: any) {
+        if (checkError.message === 'OllamaNotRunning') {
+          throw checkError;
+        }
+        console.warn('Erro ao verificar status do Ollama:', checkError);
+        // Continuar mesmo se a verificação falhar
       }
+
+      // Chamar comando Rust para streaming
+      await invoke('chat_stream', {
+        sessionId: currentSessionIdRef.current || null,
+        messages: apiMessages,
+        model,
+        systemPrompt: systemPrompt || null,
+        enableRag: false, // TODO: Implementar RAG depois
+      });
+      
+      // O streaming será processado pelos listeners de eventos
+      // Não precisamos fazer mais nada aqui, os eventos cuidam do resto
     } catch (error: any) {
-      if (error.name === 'AbortError') {
-        console.log('Request aborted');
+      console.error('Chat error:', error);
+      
+      let errorMessage = 'Erro ao obter resposta do Ollama.';
+      
+      if (error.name === 'AbortError' || error.message === 'RequestTimeout') {
+        errorMessage = '**Timeout:** A requisição demorou muito para responder. Tente novamente ou use um modelo menor.';
+      } else if (error.message === 'OllamaNotRunning') {
+        errorMessage = '**Erro:** Ollama não está rodando. Por favor, inicie o Ollama e tente novamente.\n\nVocê pode verificar o status do Ollama na página inicial do aplicativo.';
+      } else if (error.message === 'ConnectionError' || error.message?.includes('Failed to fetch')) {
+        errorMessage = '**Erro de Conexão:** Não foi possível conectar ao Ollama. Verifique se o Ollama está rodando em `http://localhost:11434`.';
+      } else if (error.message === 'ModelNotFound') {
+        errorMessage = `**Modelo Não Encontrado:** O modelo "${model}" não está instalado. Por favor, baixe o modelo primeiro na página de configuração.`;
+      } else if (error.message === 'ServerError') {
+        errorMessage = '**Erro do Servidor:** O Ollama retornou um erro interno. Verifique os logs do Ollama para mais detalhes.';
+      } else if (error.message === 'NoResponseBody') {
+        errorMessage = '**Erro:** O Ollama não retornou uma resposta válida. Tente novamente.';
+      } else if (error.message?.includes('HTTPError')) {
+        const statusMatch = error.message.match(/HTTPError: (\d+)/);
+        const status = statusMatch ? statusMatch[1] : 'desconhecido';
+        errorMessage = `**Erro HTTP ${status}:** O Ollama retornou um erro. Verifique se o modelo está instalado e tente novamente.`;
       } else {
-        console.error('Chat error:', error);
-        setMessages(prev => [...prev, { role: 'assistant', content: 'Error: Failed to get response from Ollama.' }]);
+        // Erro genérico com mais contexto
+        const errorDetails = error.message || error.toString();
+        errorMessage = `**Erro:** Falha ao obter resposta do Ollama.\n\nDetalhes: ${errorDetails}`;
       }
+      
+      setMessages(prev => [...prev, { role: 'assistant', content: errorMessage }]);
     } finally {
       setIsLoading(false);
       abortControllerRef.current = null;
@@ -99,8 +537,10 @@ export function useChat() {
 
   const clearChat = () => {
     setMessages([]);
+    rawContentRef.current = '';
+    lastTokenRef.current = '';
   };
 
-  return { messages, sendMessage, isLoading, stop, clearChat };
+  return { messages, setMessages, sendMessage, isLoading, stop, clearChat };
 }
 

hooks/use-deep-research.ts

@@ -0,0 +1,577 @@
+import { useState, useCallback } from 'react';
+import { DEEP_RESEARCH_PROMPTS } from '@/data/prompts/deep-research';
+import type { ScrapedContent } from '@/services/webSearch';
+import { deepResearchLog as log } from '@/lib/terminal-logger';
+import { condenseKnowledgeBase, validateCondensedContext } from '@/lib/knowledge-base-processor';
+import type { CondensationResult } from '@/lib/knowledge-base-processor';
+import { analyzeQueryContext, type QueryContext } from '@/lib/contextual-analyzer';
+import { enrichQueries, type EnrichedQueries } from '@/lib/query-enricher';
+
+export type DeepResearchStep = 'idle' | 'planning' | 'searching' | 'aggregating' | 'validating' | 'formulating' | 'complete' | 'error';
+
+export interface ResearchEntry {
+  id: string;
+  query: string;
+  sourceUrl: string;
+  title: string;
+  content: string;
+  timestamp: number;
+}
+
+export interface DeepResearchLog {
+  stage: 'decomposition' | 'search' | 'aggregation' | 'validation' | 'generation' | 'fallback';
+  timestamp: number;
+  input: string;
+  rawOutput?: string;
+  parsedOutput?: any;
+  error?: string;
+}
+
+export interface DeepResearchState {
+  step: DeepResearchStep;
+  plan: string[];
+  knowledgeBase: ResearchEntry[];
+  validationReport: string;
+  error?: string;
+  logs: DeepResearchLog[];
+  context?: QueryContext;
+  enrichedQueries?: EnrichedQueries;
+}
+
+// ========== LOGGING UTILITIES ==========
+function logSection(title: string) {
+  log.info(`\n========== ${title} ==========`);
+}
+
+function logStep(message: string) {
+  log.info(message);
+}
+
+function logData(label: string, data: any) {
+  if (typeof data === 'string' && data.length > 500) {
+    log.info(`${label}: ${data.substring(0, 500)}... [truncated, ${data.length} chars total]`);
+  } else if (typeof data === 'object') {
+    log.info(`${label}: ${JSON.stringify(data, null, 2)}`);
+  } else {
+    log.info(`${label}: ${data}`);
+  }
+}
+
+function logError(message: string, error?: any) {
+  log.error(`❌ ERROR: ${message}${error ? ` - ${error}` : ''}`);
+}
+
+function logSuccess(message: string) {
+  log.info(`✅ ${message}`);
+}
+
+/**
+ * Extracts an array of queries from various LLM response formats.
+ * Handles: plain arrays, objects with "queries"/"plan"/"searches" keys,
+ * markdown code blocks, and other common formats.
+ */
+function extractQueriesFromResponse(raw: string): string[] {
+  logStep('--- Parsing LLM Response ---');
+  logData('Raw response', raw);
+  
+  // 1. Strip markdown code blocks (```json ... ``` or ``` ... ```)
+  let cleaned = raw
+    .replace(/```json\s*/gi, '')
+    .replace(/```\s*/g, '')
+    .trim();
+
+  // 2. Try to parse as JSON
+  let parsed: any;
+  try {
+    parsed = JSON.parse(cleaned);
+    logStep('Direct JSON parse successful');
+  } catch (e) {
+    logStep('Direct JSON parse failed, trying to extract JSON from string...');
+    // If JSON parse fails, try to find JSON-like content in the string
+    const jsonMatch = cleaned.match(/\[[\s\S]*\]|\{[\s\S]*\}/);
+    if (jsonMatch) {
+      try {
+        parsed = JSON.parse(jsonMatch[0]);
+        logStep('Extracted JSON from string successfully');
+      } catch (e2) {
+        logError('Could not extract JSON from response');
+        throw new Error('Could not extract JSON from response');
+      }
+    } else {
+      logError('No JSON found in response');
+      throw new Error('No JSON found in response');
+    }
+  }
+
+  // 3. Handle different formats
+  if (Array.isArray(parsed)) {
+    const result = parsed.filter(item => typeof item === 'string' && item.trim().length > 0);
+    logSuccess(`Parsed as plain array: ${result.length} queries`);
+    return result;
+  }
+
+  // 4. Check common object keys used by different models
+  const commonKeys = ['queries', 'query', 'plan', 'searches', 'search_queries', 'questions'];
+  for (const key of commonKeys) {
+    if (parsed[key] && Array.isArray(parsed[key])) {
+      const result = parsed[key].filter((item: any) => typeof item === 'string' && item.trim().length > 0);
+      logSuccess(`Found queries under key "${key}": ${result.length} queries`);
+      return result;
+    }
+  }
+
+  // 5. Fallback: find first array value in the object
+  for (const val of Object.values(parsed)) {
+    if (Array.isArray(val) && val.length > 0 && typeof val[0] === 'string') {
+      const result = (val as string[]).filter((item: any) => typeof item === 'string' && item.trim().length > 0);
+      logSuccess(`Found queries in object value: ${result.length} queries`);
+      return result;
+    }
+  }
+
+  logError('No array of queries found in response');
+  throw new Error('No array of queries found in response');
+}
+
+export function useDeepResearch() {
+  const [state, setState] = useState<DeepResearchState>({
+    step: 'idle',
+    plan: [],
+    knowledgeBase: [],
+    validationReport: '',
+    logs: [],
+  });
+
+  const addLog = (log: DeepResearchLog) => {
+    setState(s => ({ ...s, logs: [...s.logs, log] }));
+  };
+
+  const callLLM = async (model: string, prompt: string, json = false) => {
+    logStep(`Calling LLM (model: ${model}, json: ${json})`);
+    logData('Prompt length', `${prompt.length} chars`);
+    
+    try {
+      const response = await fetch('http://localhost:11434/api/generate', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model,
+          prompt,
+          stream: false,
+          format: json ? 'json' : undefined,
+          options: {
+            temperature: 0.2,
+            num_predict: 2048,
+          },
+        }),
+      });
+
+      if (!response.ok) {
+        logError(`LLM API returned status ${response.status}`);
+        throw new Error('Failed to call LLM');
+      }
+      
+      const data = await response.json();
+      logSuccess(`LLM response received (${data.response?.length || 0} chars)`);
+      return data.response;
+    } catch (e) {
+      const errorMsg = e instanceof Error ? e.message : String(e);
+      logError('LLM Call Error', errorMsg);
+      throw e;
+    }
+  };
+
+  // --- CONTEXTUAL ANALYSIS ---
+  const analyzeContext = useCallback(async (query: string, model: string): Promise<QueryContext | null> => {
+    logStep('--- Contextual Analysis ---');
+    try {
+      const context = await analyzeQueryContext(query, model);
+      logData('Context Analysis', {
+        intent: context.intent,
+        entities: context.entities.length,
+        topics: context.topics.length,
+        keywords: context.keywords.length,
+      });
+      setState(s => ({ ...s, context }));
+      return context;
+    } catch (error) {
+      log.warn('Contextual analysis failed, continuing without context:', error);
+      return null;
+    }
+  }, []);
+
+  // --- QUERY ENRICHMENT ---
+  const enrich = useCallback(async (query: string, context: QueryContext | null, model: string): Promise<EnrichedQueries | null> => {
+    if (!context) {
+      return null;
+    }
+    
+    logStep('--- Query Enrichment ---');
+    try {
+      const enriched = await enrichQueries(query, context, model);
+      logData('Enriched Queries', {
+        literal: enriched.literal.length,
+        semantic: enriched.semantic.length,
+        related: enriched.related.length,
+        expanded: enriched.expanded.length,
+        contextual: enriched.contextual.length,
+      });
+      setState(s => ({ ...s, enrichedQueries: enriched }));
+      return enriched;
+    } catch (error) {
+      log.warn('Query enrichment failed, continuing without enrichment:', error);
+      return null;
+    }
+  }, []);
+
+  // --- DECOMPOSITION ---
+  const decompose = useCallback(async (query: string, model: string) => {
+    logSection('DECOMPOSITION');
+    logData('User Query', query);
+    logData('Model', model);
+    
+    setState(s => ({ ...s, step: 'planning', error: undefined, logs: [], knowledgeBase: [] }));
+    
+    try {
+      // Análise contextual (opcional, não bloqueia se falhar)
+      const context = await analyzeContext(query, model);
+      
+      // Enriquecimento de queries (opcional, não bloqueia se falhar)
+      const enriched = context ? await enrich(query, context, model) : null;
+      
+      const prompt = DEEP_RESEARCH_PROMPTS.DECOMPOSITION.replace('{{userQuery}}', query);
+      logStep('Sending decomposition prompt to LLM...');
+      const response = await callLLM(model, prompt, true);
+      
+      let plan: string[] = [];
+      let parseError = undefined;
+      
+      try {
+        plan = extractQueriesFromResponse(response);
+        logData('Parsed Plan', plan);
+      } catch (e) {
+        logError('Failed to extract queries, falling back to original query', e);
+        parseError = `JSON Parse Failed: ${e instanceof Error ? e.message : 'Unknown'}`;
+        plan = [query];
+      }
+
+      // Safety Check
+      logStep('--- Safety Check ---');
+      const keywords = query.toLowerCase().split(/\s+/).filter(w => w.length > 3);
+      logData('Keywords from query', keywords);
+      
+      const isRelevant = plan.some(q => 
+        keywords.some(k => q.toLowerCase().includes(k))
+      );
+      logData('Plan is relevant', isRelevant);
+
+      if (!isRelevant && keywords.length > 0) {
+        logError('Safety Check Failed: Plan is irrelevant to query');
+        logData('Generated plan', plan);
+        logStep('Falling back to original query');
+        addLog({
+          stage: 'decomposition',
+          timestamp: Date.now(),
+          input: prompt,
+          rawOutput: response,
+          parsedOutput: plan,
+          error: 'Safety Check Failed: Plan irrelevant to query'
+        });
+        plan = [query];
+      } else {
+        logSuccess(`Decomposition complete: ${plan.length} search queries generated`);
+        addLog({
+          stage: 'decomposition',
+          timestamp: Date.now(),
+          input: prompt,
+          rawOutput: response,
+          parsedOutput: plan,
+          error: parseError
+        });
+      }
+
+      setState(s => ({ ...s, plan }));
+      return plan;
+    } catch (error) {
+      const errorMessage = error instanceof Error ? error.message : 'Unknown error';
+      logError('Decomposition failed', errorMessage);
+      setState(s => ({ ...s, step: 'error', error: 'Failed to create research plan' }));
+      addLog({ stage: 'decomposition', timestamp: Date.now(), input: query, error: errorMessage });
+      return [];
+    }
+  }, []);
+
+  // --- ADD TO KNOWLEDGE BASE ---
+  const addToKnowledgeBase = useCallback((query: string, sources: ScrapedContent[]) => {
+    logStep(`--- Adding to Knowledge Base ---`);
+    logData('Query', query);
+    logData('Sources count', sources.length);
+    
+    const entries: ResearchEntry[] = sources.map((src, idx) => ({
+      id: `${query.substring(0, 10)}-${idx}-${Date.now()}`,
+      query,
+      sourceUrl: src.url,
+      title: src.title,
+      content: src.markdown,
+      timestamp: Date.now(),
+    }));
+
+    sources.forEach((src, idx) => {
+      logStep(`  → Source ${idx + 1}: ${src.title} (${src.url})`);
+      const contentLength = src.markdown?.length || 0;
+      logData(`    Content length`, `${contentLength} chars`);
+      
+      if (src.markdown && contentLength > 0) {
+        const preview = src.markdown.substring(0, 300);
+        logData(`    Preview`, preview + (contentLength > 300 ? '...' : ''));
+      } else {
+        logStep(`    ⚠️ No content extracted`);
+      }
+    });
+
+    setState(s => ({
+      ...s,
+      knowledgeBase: [...s.knowledgeBase, ...entries]
+    }));
+
+    addLog({
+      stage: 'search',
+      timestamp: Date.now(),
+      input: query,
+      parsedOutput: entries.map(e => ({ 
+        id: e.id, 
+        title: e.title, 
+        url: e.sourceUrl,
+        contentLength: e.content.length,
+        contentPreview: e.content.substring(0, 200) + (e.content.length > 200 ? '...' : '')
+      }))
+    });
+
+    logSuccess(`Added ${entries.length} entries to Knowledge Base`);
+    return entries;
+  }, []);
+
+  // --- DEDUPLICATE & FORMAT CONTEXT (LEGACY - mantido para compatibilidade) ---
+  const getCuratedContext = useCallback((maxTokens: number = 12000) => {
+    logSection('AGGREGATION');
+    const kb = state.knowledgeBase;
+    logData('Raw KB entries', kb.length);
+    
+    if (kb.length === 0) {
+      logStep('Knowledge Base is empty, skipping aggregation');
+      return '';
+    }
+
+    // Deduplicate by URL
+    const seen = new Set<string>();
+    const unique = kb.filter(entry => {
+      if (seen.has(entry.sourceUrl)) return false;
+      seen.add(entry.sourceUrl);
+      return true;
+    });
+    logData('Unique entries (after dedup)', unique.length);
+
+    // Format as Knowledge Base
+    let context = '## KNOWLEDGE BASE (Verified Sources)\n\n';
+    let currentLength = context.length;
+    const avgCharsPerToken = 4;
+    const maxChars = maxTokens * avgCharsPerToken;
+    logData('Max chars allowed', maxChars);
+
+    unique.forEach((entry, idx) => {
+      const snippet = entry.content.length > 1500 
+        ? entry.content.substring(0, 1500) + '...' 
+        : entry.content;
+      
+      const block = `[ID: ${idx + 1}] **${entry.title}**\nURL: ${entry.sourceUrl}\n${snippet}\n\n---\n\n`;
+      
+      if (currentLength + block.length < maxChars) {
+        context += block;
+        currentLength += block.length;
+      } else {
+        logStep(`  → Skipping entry ${idx + 1} (would exceed max chars)`);
+      }
+    });
+
+    addLog({
+      stage: 'aggregation',
+      timestamp: Date.now(),
+      input: `${kb.length} raw entries`,
+      parsedOutput: `${unique.length} unique entries, ${currentLength} chars`
+    });
+
+    logSuccess(`Knowledge Base formatted: ${unique.length} entries, ${currentLength} chars`);
+    return context;
+  }, [state.knowledgeBase]);
+
+  // --- OPTIMIZED CONTEXT WITH CONDENSATION ---
+  const getCuratedContextOptimized = useCallback((
+    query: string,
+    maxTokens: number = 12000,
+    options?: {
+      minRelevanceScore?: number;
+      autoSummarize?: boolean;
+      fallbackToSummarization?: boolean;
+    }
+  ): { context: string; result: CondensationResult } => {
+    logSection('AGGREGATION (OPTIMIZED)');
+    const kb = state.knowledgeBase;
+    logData('Raw KB entries', kb.length);
+    logData('User Query', query);
+    logData('Max Tokens', maxTokens);
+    
+    if (kb.length === 0) {
+      logStep('Knowledge Base is empty, skipping aggregation');
+      return {
+        context: '',
+        result: {
+          context: '',
+          totalTokens: 0,
+          originalTokens: 0,
+          compressionRatio: 0,
+          chunksUsed: 0,
+          chunksTotal: 0,
+          method: 'fallback',
+          sources: [],
+        },
+      };
+    }
+
+    // Deduplicate by URL
+    const seen = new Set<string>();
+    const unique = kb.filter(entry => {
+      if (seen.has(entry.sourceUrl)) return false;
+      seen.add(entry.sourceUrl);
+      return true;
+    });
+    logData('Unique entries (after dedup)', unique.length);
+
+    // Condensar Knowledge Base
+    const condensationResult = condenseKnowledgeBase(unique, query, {
+      maxTokens,
+      minRelevanceScore: options?.minRelevanceScore ?? 0.1,
+      autoSummarize: options?.autoSummarize ?? true,
+      fallbackToSummarization: options?.fallbackToSummarization ?? true,
+    });
+
+    // Log detalhado do resultado
+    logData('Condensation Method', condensationResult.method);
+    logData('Original Tokens', condensationResult.originalTokens);
+    logData('Final Tokens', condensationResult.totalTokens);
+    logData('Compression Ratio', `${(condensationResult.compressionRatio * 100).toFixed(1)}%`);
+    logData('Chunks Used', `${condensationResult.chunksUsed} / ${condensationResult.chunksTotal}`);
+    
+    // Log preview dos chunks selecionados
+    if (condensationResult.chunksUsed > 0) {
+      logStep('--- Selected Chunks Preview ---');
+      // O contexto já contém os chunks, vamos logar um preview
+      const preview = condensationResult.context.substring(0, 500);
+      logData('Context Preview', preview + (condensationResult.context.length > 500 ? '...' : ''));
+    }
+
+    // Log estatísticas por fonte
+    logStep('--- Source Statistics ---');
+    condensationResult.sources.forEach((source, idx) => {
+      logData(`Source ${idx + 1}`, `${source.title}: ${source.chunksUsed} chunks used`);
+    });
+
+    // Validar contexto
+    const validation = validateCondensedContext(condensationResult, query);
+    if (!validation.isValid) {
+      logError('Context validation failed', validation.warnings.join(', '));
+    } else if (validation.warnings.length > 0) {
+      validation.warnings.forEach(warning => {
+        logStep(`⚠️ Warning: ${warning}`);
+      });
+    }
+
+    addLog({
+      stage: 'aggregation',
+      timestamp: Date.now(),
+      input: `${kb.length} raw entries, query: "${query}"`,
+      parsedOutput: {
+        method: condensationResult.method,
+        chunksUsed: condensationResult.chunksUsed,
+        chunksTotal: condensationResult.chunksTotal,
+        compressionRatio: condensationResult.compressionRatio,
+        totalTokens: condensationResult.totalTokens,
+      },
+    });
+
+    logSuccess(`Knowledge Base optimized: ${condensationResult.chunksUsed} chunks selected, ${condensationResult.totalTokens} tokens`);
+    
+    return {
+      context: condensationResult.context,
+      result: condensationResult,
+    };
+  }, [state.knowledgeBase]);
+
+  // --- VALIDATION ---
+  const validate = useCallback(async (model: string, userQuery: string) => {
+    logSection('VALIDATION');
+    logData('User Query', userQuery);
+    
+    setState(s => ({ ...s, step: 'validating' }));
+    
+    const context = getCuratedContext();
+    if (!context || context.length < 100) {
+      logError('Insufficient context for validation');
+      addLog({ stage: 'validation', timestamp: Date.now(), input: 'No context', error: 'Insufficient data' });
+      return '';
+    }
+
+    try {
+      const prompt = DEEP_RESEARCH_PROMPTS.CONTEXT_CHECK
+        .replace('{{knowledgeBase}}', context)
+        .replace('{{userQuery}}', userQuery);
+      
+      logStep('Sending validation prompt to LLM...');
+      logData('Prompt length', `${prompt.length} chars`);
+      
+      const report = await callLLM(model, prompt);
+      
+      logSuccess('Validation complete');
+      logData('Validation Report', report);
+      
+      addLog({
+        stage: 'validation',
+        timestamp: Date.now(),
+        input: prompt.substring(0, 200) + '...',
+        rawOutput: report,
+        parsedOutput: report
+      });
+
+      setState(s => ({ ...s, validationReport: report }));
+      return report;
+    } catch (error) {
+      const errorMessage = error instanceof Error ? error.message : 'Unknown error';
+      logError('Validation failed', errorMessage);
+      setState(s => ({ ...s, step: 'error', error: 'Validation failed' }));
+      addLog({ stage: 'validation', timestamp: Date.now(), input: 'Validation', error: errorMessage });
+      return '';
+    }
+  }, [getCuratedContext]);
+
+  // --- RESET ---
+  const reset = useCallback(() => {
+    logStep('Resetting Deep Research state');
+    setState({
+      step: 'idle',
+      plan: [],
+      knowledgeBase: [],
+      validationReport: '',
+      logs: [],
+    });
+  }, []);
+
+  return {
+    state,
+    decompose,
+    addToKnowledgeBase,
+    getCuratedContext,
+    getCuratedContextOptimized,
+    validate,
+    reset,
+    setStep: (step: DeepResearchStep) => setState(s => ({ ...s, step }))
+  };
+}

hooks/use-hardware.ts

@@ -1,6 +1,6 @@
 import { useState, useEffect } from 'react';
 import { invoke } from '@tauri-apps/api/core';
-import { SystemSpecs } from '@/lib/recommendation';
+import { SystemSpecs, GpuInfo } from '@/lib/recommendation';
 
 export function useHardware() {
   const [specs, setSpecs] = useState<SystemSpecs | null>(null);
@@ -23,6 +23,10 @@ export function useHardware() {
     fetchSpecs();
   }, []);
 
-  return { specs, loading };
+  return { 
+    specs, 
+    loading,
+    gpus: specs?.gpus || []
+  };
 }
 

hooks/use-local-models.ts

@@ -41,3 +41,5 @@ export function useLocalModels() {
   return { models, loading, refresh: fetchModels, deleteModel };
 }
 
+
+

hooks/use-mcp-servers.ts

@@ -0,0 +1,73 @@
+'use client';
+
+import { useState, useEffect, useCallback } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+
+export interface McpServerInfo {
+  name: string;
+  status: 'running' | 'stopped' | 'error';
+  pid?: number;
+  toolCount?: number;
+}
+
+export function useMcpServers() {
+  const [servers, setServers] = useState<McpServerInfo[]>([]);
+  const [isLoading, setIsLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+
+  const loadServers = useCallback(async () => {
+    try {
+      setIsLoading(true);
+      setError(null);
+      const serverStatuses = await invoke<McpServerInfo[]>('list_mcp_server_status');
+      
+      // Get tool counts for each server
+      const allTools = await invoke<Array<{ server_name: string; tool: any }>>('get_all_mcp_tools');
+      
+      // Count tools per server
+      const toolCounts = new Map<string, number>();
+      for (const toolInfo of allTools) {
+        toolCounts.set(toolInfo.server_name, (toolCounts.get(toolInfo.server_name) || 0) + 1);
+      }
+      
+      // Enrich server info with tool counts
+      const enrichedServers = serverStatuses.map(server => ({
+        ...server,
+        toolCount: toolCounts.get(server.name) || 0,
+      }));
+      
+      setServers(enrichedServers);
+    } catch (err) {
+      console.error('Failed to load MCP servers:', err);
+      setError(err instanceof Error ? err.message : 'Failed to load MCP servers');
+      setServers([]);
+    } finally {
+      setIsLoading(false);
+    }
+  }, []);
+
+  useEffect(() => {
+    loadServers();
+    
+    // Refresh servers every 10 seconds
+    const interval = setInterval(() => {
+      loadServers();
+    }, 10000);
+    
+    return () => clearInterval(interval);
+  }, [loadServers]);
+
+  // Get only running servers
+  const getRunningServers = useCallback((): McpServerInfo[] => {
+    return servers.filter(server => server.status === 'running');
+  }, [servers]);
+
+  return {
+    servers,
+    runningServers: getRunningServers(),
+    isLoading,
+    error,
+    loadServers,
+  };
+}
+

hooks/use-mcp-tools.ts

@@ -0,0 +1,133 @@
+'use client';
+
+import { useState, useEffect, useCallback } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+
+export interface McpTool {
+  name: string;
+  description: string;
+  input_schema?: any;
+}
+
+export interface McpToolInfo {
+  server_name: string;
+  tool: McpTool;
+}
+
+export function useMcpTools() {
+  const [tools, setTools] = useState<McpToolInfo[]>([]);
+  const [isLoading, setIsLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+
+  const loadTools = useCallback(async () => {
+    try {
+      setIsLoading(true);
+      setError(null);
+      const allTools = await invoke<McpToolInfo[]>('get_all_mcp_tools');
+      setTools(allTools);
+    } catch (err) {
+      console.error('Failed to load MCP tools:', err);
+      setError(err instanceof Error ? err.message : 'Failed to load MCP tools');
+      setTools([]);
+    } finally {
+      setIsLoading(false);
+    }
+  }, []);
+
+  useEffect(() => {
+    loadTools();
+    
+    // Refresh tools every 30 seconds
+    const interval = setInterval(() => {
+      loadTools();
+    }, 30000);
+    
+    return () => clearInterval(interval);
+  }, [loadTools]);
+
+  // Generate tools context for prompt injection
+  const generateToolsContext = useCallback((availableTools: McpToolInfo[], selectedServers?: string[]): string => {
+    // Filter tools by selected servers if provided
+    let filteredTools = availableTools;
+    if (selectedServers && selectedServers.length > 0) {
+      filteredTools = availableTools.filter(tool => selectedServers.includes(tool.server_name));
+    }
+
+    if (filteredTools.length === 0) {
+      return '';
+    }
+
+    let context = '\n\n## Ferramentas MCP Disponíveis\n\n';
+    const header = selectedServers && selectedServers.length > 0
+      ? `Você está usando os servidores MCP selecionados: ${selectedServers.join(', ')}.\n`
+      : 'Você tem acesso aos servidores MCP listados abaixo.\n';
+    context += `${header}\n`;
+    context += '### REGRAS OBRIGATÓRIAS PARA MCP:\n\n';
+    context += '1. **PRIORIZE RESULTADOS DE MCP**: Se você vir mensagens anteriores marcadas com `[MCP servidor/ferramenta]`, USE-AS como base da sua resposta.\n';
+    context += '2. **IDENTIFIQUE FONTES**: Quando há dados de MCP disponíveis, cite-os explicitamente (ex: "De acordo com a busca realizada...").\n';
+    context += '3. **TRATE ERROS**: Se MCP retornou erro (mensagens com ⚠️), informe ao usuário sobre a limitação de forma clara.\n';
+    context += '4. **SOLICITE FERRAMENTAS**: Use o formato `<tool_name>(arg1=valor1, arg2=valor2)` para solicitar execução de ferramentas.\n';
+    context += '5. **PROIBIDO**: NUNCA gere blocos `<metadata>`, JSON oculto ou texto como "Metadados:". Apenas texto visível.\n\n';
+    context += '**Nota**: O sistema executa MCPs automaticamente antes de você receber a mensagem do usuário. Verifique sempre se há resultados MCP nas mensagens anteriores.\n\n';
+
+    // Group tools by server
+    const toolsByServer = new Map<string, McpTool[]>();
+    for (const toolInfo of filteredTools) {
+      if (!toolsByServer.has(toolInfo.server_name)) {
+        toolsByServer.set(toolInfo.server_name, []);
+      }
+      toolsByServer.get(toolInfo.server_name)!.push(toolInfo.tool);
+    }
+
+    // Format tools for each server
+    for (const [serverName, serverTools] of toolsByServer.entries()) {
+    context += `### Servidor: ${serverName}\n\n`;
+      
+      for (const tool of serverTools) {
+        context += `- **${tool.name}**: ${tool.description}\n`;
+        
+        // Add input schema info if available
+        if (tool.input_schema) {
+          const schema = tool.input_schema;
+          if (schema.properties) {
+            context += `  - Parâmetros: `;
+            const params: string[] = [];
+            for (const [key, value] of Object.entries(schema.properties)) {
+              const prop = value as any;
+              params.push(`${key} (${prop.type || 'any'})`);
+            }
+            context += params.join(', ') + '\n';
+          }
+        }
+        context += '\n';
+      }
+    }
+
+    context += '### Como responder quando há dados MCP:\n\n';
+    context += '1. Verifique se há mensagens com `[MCP ...]` no histórico recente\n';
+    context += '2. Analise os dados retornados (mesmo que sejam erros)\n';
+    context += '3. Baseie sua resposta PRINCIPALMENTE nos dados MCP\n';
+    context += '4. Complemente com seu conhecimento apenas se necessário\n';
+    context += '5. Apresente tudo em texto limpo, sem metadados ou JSON oculto\n\n';
+    context += '**Lembre-se**: Resultados MCP são dados em tempo real e devem ter prioridade sobre seu conhecimento interno.\n';
+
+    return context;
+  }, []);
+
+  // Get tools context string for prompt injection
+  const getToolsContext = useCallback((selectedServers?: string[]): string => {
+    return generateToolsContext(tools, selectedServers);
+  }, [tools, generateToolsContext]);
+
+  return {
+    tools,
+    isLoading,
+    error,
+    loadTools,
+    generateToolsContext,
+    getToolsContext,
+  };
+}
+
+
+

hooks/use-ollama-check.ts

@@ -7,28 +7,37 @@ export function useOllamaCheck() {
   const [status, setStatus] = useState<OllamaStatus>('checking');
 
   const check = async () => {
-    // Don't set checking here if we want to silently revalidate, 
-    // but for initial load or explicit re-check it is fine.
-    // Only set checking if it's not already in a known state to avoid flicker?
-    // For now simple is better.
+    setStatus('checking');
     try {
-      const installed = await invoke<boolean>('check_ollama_installed');
-      if (!installed) {
-        setStatus('not_installed');
-        return;
-      }
-
-      const running = await invoke<boolean>('check_ollama_running');
-      if (!running) {
-        setStatus('installed_stopped');
-        return;
-      }
-
-      setStatus('running');
+      // Usar verificação completa que checa instalação E execução
+      const result = await invoke<{
+        installed: boolean;
+        running: boolean;
+        status: string;
+      }>('check_ollama_full');
+      
+      setStatus(result.status as OllamaStatus);
     } catch (error) {
       console.error('Failed to check ollama:', error);
-      // If invoke fails (e.g. backend not ready), we might want to handle gracefully
-      setStatus('not_installed');
+      // Se falhar, tentar verificação individual como fallback
+      try {
+        const installed = await invoke<boolean>('check_ollama_installed');
+        if (!installed) {
+          setStatus('not_installed');
+          return;
+        }
+
+        const running = await invoke<boolean>('check_ollama_running');
+        if (!running) {
+          setStatus('installed_stopped');
+          return;
+        }
+
+        setStatus('running');
+      } catch (fallbackError) {
+        console.error('Fallback check also failed:', fallbackError);
+        setStatus('not_installed');
+      }
     }
   };
 

hooks/use-ollama-download.ts

@@ -0,0 +1,257 @@
+import { useState, useEffect, useRef } from 'react';
+import { listen } from '@tauri-apps/api/event';
+import { invoke } from '@tauri-apps/api/core';
+import { downloadInstaller, getDownloadedInstallerPath, runInstaller, type OS } from '@/lib/download-utils';
+
+interface DownloadState {
+  isDownloading: boolean;
+  downloadProgress: number;
+  downloadStatus: string;
+  downloadError: string | null;
+  filePath: string | null;
+  isInstalled: boolean;
+  isChecking: boolean;
+  checkStatus: string;
+}
+
+export function useOllamaDownload() {
+  const [state, setState] = useState<DownloadState>({
+    isDownloading: false,
+    downloadProgress: 0,
+    downloadStatus: '',
+    downloadError: null,
+    filePath: null,
+    isInstalled: false,
+    isChecking: false,
+    checkStatus: '',
+  });
+
+  const checkingIntervalRef = useRef<ReturnType<typeof setInterval> | null>(null);
+  const isCheckingRef = useRef(false);
+
+  // Escutar eventos de progresso do download
+  useEffect(() => {
+    const unlistenPromise = listen('installer-download-progress', (event: any) => {
+      const data = event.payload;
+      setState(prev => ({
+        ...prev,
+        downloadProgress: data.progress || 0,
+        downloadStatus: data.status || '',
+      }));
+    });
+
+    return () => {
+      unlistenPromise.then(unlisten => unlisten());
+    };
+  }, []);
+
+  const handleDownload = async (os: OS) => {
+    setState({
+      isDownloading: true,
+      downloadProgress: 0,
+      downloadStatus: 'Iniciando download...',
+      downloadError: null,
+      filePath: null,
+      isInstalled: false,
+    });
+
+    try {
+      // Verificar se já foi baixado
+      const existingPath = await getDownloadedInstallerPath(os);
+      if (existingPath) {
+        setState({
+          isDownloading: false,
+          downloadProgress: 100,
+          downloadStatus: 'Download já concluído',
+          downloadError: null,
+          filePath: existingPath,
+          isInstalled: false,
+        });
+        return;
+      }
+
+      // Fazer download
+      const filePath = await downloadInstaller(os);
+      setState({
+        isDownloading: false,
+        downloadProgress: 100,
+        downloadStatus: 'Download concluído',
+        downloadError: null,
+        filePath,
+        isInstalled: false,
+      });
+    } catch (error) {
+      setState({
+        isDownloading: false,
+        downloadProgress: 0,
+        downloadStatus: '',
+        downloadError: error instanceof Error ? error.message : 'Erro desconhecido durante download',
+        filePath: null,
+        isInstalled: false,
+      });
+    }
+  };
+
+  const handleInstall = async () => {
+    if (!state.filePath) {
+      setState(prev => ({
+        ...prev,
+        downloadError: 'Nenhum instalador disponível',
+      }));
+      return;
+    }
+
+    try {
+      await runInstaller(state.filePath);
+      setState(prev => ({
+        ...prev,
+        isInstalled: true,
+      }));
+      
+      // Iniciar verificação automática em segundo plano
+      startAutoCheck();
+    } catch (error) {
+      setState(prev => ({
+        ...prev,
+        downloadError: error instanceof Error ? error.message : 'Erro ao executar instalador',
+      }));
+    }
+  };
+
+  const checkOllama = async (): Promise<boolean> => {
+    try {
+      const installed = await invoke<boolean>('check_ollama_installed');
+      if (!installed) {
+        return false;
+      }
+
+      const running = await invoke<boolean>('check_ollama_running');
+      return running;
+    } catch (error) {
+      console.error('Erro ao verificar Ollama:', error);
+      return false;
+    }
+  };
+
+  const startAutoCheck = () => {
+    // Limpar intervalo anterior se existir
+    if (checkingIntervalRef.current) {
+      clearInterval(checkingIntervalRef.current);
+    }
+
+    if (isCheckingRef.current) {
+      return; // Já está verificando
+    }
+
+    isCheckingRef.current = true;
+    setState(prev => ({
+      ...prev,
+      isChecking: true,
+      checkStatus: 'Verificando instalação do Ollama...',
+    }));
+
+    let attempts = 0;
+    const maxAttempts = 300; // 5 minutos (300 * 1 segundo)
+
+    checkingIntervalRef.current = setInterval(async () => {
+      attempts++;
+      
+      const isRunning = await checkOllama();
+      
+      if (isRunning) {
+        // Ollama encontrado e rodando!
+        if (checkingIntervalRef.current) {
+          clearInterval(checkingIntervalRef.current);
+          checkingIntervalRef.current = null;
+        }
+        isCheckingRef.current = false;
+        
+        setState(prev => ({
+          ...prev,
+          isChecking: false,
+          checkStatus: 'Ollama encontrado e rodando!',
+        }));
+
+        // Emitir evento customizado para notificar o componente pai
+        window.dispatchEvent(new CustomEvent('ollama-installed'));
+      } else if (attempts >= maxAttempts) {
+        // Limite de tentativas atingido
+        if (checkingIntervalRef.current) {
+          clearInterval(checkingIntervalRef.current);
+          checkingIntervalRef.current = null;
+        }
+        isCheckingRef.current = false;
+        
+        setState(prev => ({
+          ...prev,
+          isChecking: false,
+          checkStatus: 'Verificação automática pausada. Use "Verificar Novamente" para continuar.',
+        }));
+      } else {
+        setState(prev => ({
+          ...prev,
+          checkStatus: `Verificando... (${attempts}/${maxAttempts})`,
+        }));
+      }
+    }, 1000); // Verificar a cada 1 segundo
+  };
+
+  const stopAutoCheck = () => {
+    if (checkingIntervalRef.current) {
+      clearInterval(checkingIntervalRef.current);
+      checkingIntervalRef.current = null;
+    }
+    isCheckingRef.current = false;
+    setState(prev => ({
+      ...prev,
+      isChecking: false,
+      checkStatus: '',
+    }));
+  };
+
+  // Limpar intervalo ao desmontar
+  useEffect(() => {
+    return () => {
+      if (checkingIntervalRef.current) {
+        clearInterval(checkingIntervalRef.current);
+      }
+    };
+  }, []);
+
+  const checkExistingDownload = async (os: OS) => {
+    const existingPath = await getDownloadedInstallerPath(os);
+    if (existingPath) {
+      setState(prev => ({
+        ...prev,
+        filePath: existingPath,
+        downloadProgress: 100,
+        downloadStatus: 'Download já concluído',
+      }));
+    }
+  };
+
+  const reset = () => {
+    stopAutoCheck();
+    setState({
+      isDownloading: false,
+      downloadProgress: 0,
+      downloadStatus: '',
+      downloadError: null,
+      filePath: null,
+      isInstalled: false,
+      isChecking: false,
+      checkStatus: '',
+    });
+  };
+
+  return {
+    ...state,
+    handleDownload,
+    handleInstall,
+    checkExistingDownload,
+    startAutoCheck,
+    stopAutoCheck,
+    reset,
+  };
+}
+

hooks/use-operating-system.ts

@@ -0,0 +1,58 @@
+import { useState, useEffect } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import type { OS } from '@/lib/download-utils';
+
+export function useOperatingSystem() {
+  const [os, setOs] = useState<OS | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    const detectOS = async () => {
+      try {
+        const detectedOS = await invoke<string>('get_operating_system');
+        // Mapear para o tipo OS
+        if (detectedOS === 'windows' || detectedOS === 'mac' || detectedOS === 'linux') {
+          setOs(detectedOS as OS);
+        } else {
+          // Fallback: tentar detectar via user agent
+          const userAgent = navigator.userAgent.toLowerCase();
+          if (userAgent.includes('win')) {
+            setOs('windows');
+          } else if (userAgent.includes('mac')) {
+            setOs('mac');
+          } else if (userAgent.includes('linux')) {
+            setOs('linux');
+          } else {
+            setOs('windows'); // Default fallback
+          }
+        }
+      } catch (error) {
+        console.error('Failed to detect OS:', error);
+        // Fallback: detectar via user agent
+        const userAgent = navigator.userAgent.toLowerCase();
+        if (userAgent.includes('win')) {
+          setOs('windows');
+        } else if (userAgent.includes('mac')) {
+          setOs('mac');
+        } else if (userAgent.includes('linux')) {
+          setOs('linux');
+        } else {
+          setOs('windows'); // Default fallback
+        }
+      } finally {
+        setLoading(false);
+      }
+    };
+
+    detectOS();
+  }, []);
+
+  return { os, loading };
+}
+
+
+
+
+
+
+

hooks/use-prompt-generator.ts

@@ -68,3 +68,5 @@ export function usePromptGenerator() {
   return { generatePrompt, isGenerating };
 }
 
+
+

hooks/use-python-bootstrap.ts

@@ -0,0 +1,103 @@
+'use client';
+
+import { useState, useEffect } from 'react';
+import { listen } from '@tauri-apps/api/event';
+
+export interface PythonBootstrapProgress {
+  stage: string;
+  message: string;
+  progress: number | null;
+}
+
+export interface PythonBootstrapState {
+  stage: string;
+  message: string;
+  progress: number | null;
+  isComplete: boolean;
+  error: string | null;
+}
+
+export function usePythonBootstrap() {
+  const [state, setState] = useState<PythonBootstrapState>({
+    stage: 'checking',
+    message: 'Verificando runtime Python...',
+    progress: null,
+    isComplete: false,
+    error: null,
+  });
+
+  useEffect(() => {
+    // Verificar status inicial
+    const checkInitialStatus = async () => {
+      try {
+        const { invoke } = await import('@tauri-apps/api/core');
+        const status = await invoke<{ ready: boolean; error: string | null }>('check_python_runtime_status');
+        
+        if (status.ready) {
+          setState({
+            stage: 'done',
+            message: 'Runtime Python pronto',
+            progress: 1.0,
+            isComplete: true,
+            error: null,
+          });
+        } else if (status.error) {
+          setState(prev => ({
+            ...prev,
+            error: status.error || 'Erro desconhecido',
+            isComplete: false,
+          }));
+        }
+      } catch (error) {
+        console.error('Erro ao verificar status inicial do Python:', error);
+      }
+    };
+
+    checkInitialStatus();
+
+    // Escutar eventos de progresso
+    const progressUnlisten = listen<PythonBootstrapProgress>('python-bootstrap-progress', (event) => {
+      const payload = event.payload;
+      setState(prev => ({
+        ...prev,
+        stage: payload.stage,
+        message: payload.message,
+        progress: payload.progress ?? prev.progress,
+        error: null,
+      }));
+    });
+
+    // Escutar evento de conclusão
+    const completeUnlisten = listen('python-bootstrap-complete', () => {
+      setState(prev => ({
+        ...prev,
+        stage: 'done',
+        message: 'Runtime Python pronto',
+        progress: 1.0,
+        isComplete: true,
+        error: null,
+      }));
+    });
+
+    // Escutar evento de erro
+    const errorUnlisten = listen<string>('python-bootstrap-error', (event) => {
+      setState(prev => ({
+        ...prev,
+        error: event.payload || 'Erro desconhecido durante o bootstrap',
+        isComplete: false,
+      }));
+    });
+
+    return () => {
+      progressUnlisten.then(unlisten => unlisten());
+      completeUnlisten.then(unlisten => unlisten());
+      errorUnlisten.then(unlisten => unlisten());
+    };
+  }, []);
+
+  return state;
+}
+
+
+
+

hooks/use-query-generator.ts

@@ -0,0 +1,91 @@
+import { useState, useCallback } from 'react';
+
+/**
+ * Hook para gerar query de busca otimizada usando a LLM
+ */
+export function useQueryGenerator() {
+  const [isGenerating, setIsGenerating] = useState(false);
+
+  /**
+   * Gera uma query de busca otimizada baseada na pergunta do usuário
+   * Retorna 'NO_SEARCH' se não precisar de busca
+   */
+  const generateQuery = useCallback(async (
+    userInput: string,
+    model: string
+  ): Promise<string> => {
+    if (!userInput || !userInput.trim()) {
+      return 'NO_SEARCH';
+    }
+
+    setIsGenerating(true);
+
+    try {
+      // Prompt otimizado para gerar query
+      const prompt = `Baseado na pergunta do usuário abaixo, gere APENAS uma query de busca otimizada para o Google/DuckDuckGo.
+
+Regras:
+- Se a pergunta NÃO precisar de informações da web (ex: "Olá", "Como você está?", cálculos simples, perguntas sobre você), retorne EXATAMENTE: NO_SEARCH
+- Se precisar de informações recentes, fatos, notícias, ou dados atualizados, gere uma query curta e direta (máximo 8 palavras)
+- A query deve ser em português se a pergunta for em português
+
+Pergunta do usuário: "${userInput}"
+
+Query de busca (ou NO_SEARCH):`;
+
+      const response = await fetch('http://localhost:11434/api/generate', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model,
+          prompt,
+          stream: false,
+          options: {
+            temperature: 0.3, // Baixa temperatura para respostas mais determinísticas
+            num_predict: 50, // Limitar tokens para resposta rápida
+          },
+        }),
+      });
+
+      if (!response.ok) {
+        throw new Error('Falha ao gerar query');
+      }
+
+      const data = await response.json();
+      const generatedText = (data.response || '').trim();
+
+      // Limpar resposta (remover aspas, pontos finais, etc)
+      let query = generatedText
+        .replace(/^["']|["']$/g, '') // Remover aspas
+        .replace(/\.$/, '') // Remover ponto final
+        .trim();
+
+      // Verificar se é NO_SEARCH
+      if (query.toUpperCase().includes('NO_SEARCH') || query.length < 3) {
+        return 'NO_SEARCH';
+      }
+
+      return query;
+    } catch (error) {
+      console.error('Erro ao gerar query:', error);
+      // Em caso de erro, tentar usar a própria pergunta como query
+      // Mas apenas se parecer uma pergunta factual
+      const lowerInput = userInput.toLowerCase();
+      const needsSearch = lowerInput.includes('o que') ||
+                         lowerInput.includes('quem') ||
+                         lowerInput.includes('quando') ||
+                         lowerInput.includes('onde') ||
+                         lowerInput.includes('como') ||
+                         lowerInput.includes('por que') ||
+                         lowerInput.includes('qual') ||
+                         lowerInput.includes('quais');
+
+      return needsSearch ? userInput : 'NO_SEARCH';
+    } finally {
+      setIsGenerating(false);
+    }
+  }, []);
+
+  return { generateQuery, isGenerating };
+}
+

hooks/use-query-preprocessor.ts

@@ -0,0 +1,182 @@
+import { useState, useCallback } from 'react';
+import { invoke } from '@tauri-apps/api/core';
+import { normalizeText } from '@/lib/text-normalization';
+import { validateQuery, ValidationResult } from '@/lib/query-validation';
+import { splitQuestions, SplitResult } from '@/lib/question-splitter';
+import { useSettingsStore } from '@/store/settings-store';
+
+export type QueryIntent = 
+  | 'factual'
+  | 'conversational'
+  | 'technical'
+  | 'opinion'
+  | 'calculation'
+  | 'unknown';
+
+export interface PreprocessedQuery {
+  original: string;
+  normalized: string;
+  questions: string[];
+  intent: QueryIntent;
+  validation: ValidationResult;
+  shouldSearch: boolean;
+  splitResult: SplitResult;
+}
+
+export interface PreprocessOptions {
+  skipValidation?: boolean;
+  skipSplit?: boolean;
+  skipIntentClassification?: boolean;
+}
+
+/**
+ * Hook para pré-processamento de queries do usuário
+ * Orquestra normalização, validação, split e classificação de intenção
+ */
+export function useQueryPreprocessor() {
+  const [isProcessing, setIsProcessing] = useState(false);
+  const settings = useSettingsStore();
+
+  /**
+   * Pré-processa uma query do usuário
+   * 
+   * @param text - Texto original da query
+   * @param options - Opções de pré-processamento
+   * @returns Query pré-processada
+   */
+  const preprocess = useCallback(
+    async (
+      text: string,
+      options: PreprocessOptions = {}
+    ): Promise<PreprocessedQuery> => {
+      setIsProcessing(true);
+
+      try {
+        const original = text;
+        const normalized = normalizeText(text);
+
+        // 1. Validação
+        let validation: ValidationResult;
+        if (options.skipValidation) {
+          validation = {
+            isValid: true,
+            errors: [],
+            warnings: [],
+            normalizedLength: normalized.length,
+          };
+        } else {
+          const preprocessingConfig = settings.queryPreprocessing || {
+            enabled: true,
+            minLength: 3,
+            maxLength: 2000,
+            autoSplitQuestions: true,
+            irrelevantPatterns: [],
+          };
+
+          validation = validateQuery(text, {
+            minLength: preprocessingConfig.minLength,
+            maxLength: preprocessingConfig.maxLength,
+            irrelevantPatterns: preprocessingConfig.irrelevantPatterns.length > 0
+              ? preprocessingConfig.irrelevantPatterns
+              : undefined,
+          });
+        }
+
+        // Se inválida, retornar com erro
+        if (!validation.isValid) {
+          return {
+            original,
+            normalized,
+            questions: [],
+            intent: 'unknown',
+            validation,
+            shouldSearch: false,
+            splitResult: {
+              questions: [],
+              originalText: original,
+              splitCount: 0,
+            },
+          };
+        }
+
+        // 2. Split de perguntas
+        let splitResult: SplitResult;
+        if (options.skipSplit) {
+          splitResult = {
+            questions: [original],
+            originalText: original,
+            splitCount: 1,
+          };
+        } else {
+          splitResult = splitQuestions(original);
+        }
+
+        // 3. Classificação de intenção
+        let intent: QueryIntent = 'unknown';
+        if (!options.skipIntentClassification) {
+          try {
+            const intentStr = await invoke<string>('classify_intent', {
+              query: normalized,
+            });
+            intent = intentStr as QueryIntent;
+          } catch (error) {
+            console.error('Erro ao classificar intent:', error);
+            // Fallback para unknown
+            intent = 'unknown';
+          }
+        }
+
+        // 4. Decidir se deve buscar
+        // Busca é necessária se:
+        // - Intent é factual ou technical (e webSearch está habilitado)
+        // - Intent é unknown (comportamento padrão: permitir busca)
+        const shouldSearch =
+          settings.webSearch.enabled &&
+          (intent === 'factual' ||
+            intent === 'technical' ||
+            intent === 'unknown');
+
+        return {
+          original,
+          normalized,
+          questions: splitResult.questions,
+          intent,
+          validation,
+          shouldSearch,
+          splitResult,
+        };
+      } catch (error) {
+        console.error('Erro no pré-processamento:', error);
+        // Retornar resultado com erro
+        return {
+          original: text,
+          normalized: normalizeText(text),
+          questions: [],
+          intent: 'unknown',
+          validation: {
+            isValid: false,
+            errors: ['Erro ao pré-processar query'],
+            warnings: [],
+            normalizedLength: 0,
+          },
+          shouldSearch: false,
+          splitResult: {
+            questions: [],
+            originalText: text,
+            splitCount: 0,
+          },
+        };
+      } finally {
+        setIsProcessing(false);
+      }
+    },
+    [settings]
+  );
+
+  return {
+    preprocess,
+    isProcessing,
+  };
+}
+
+

hooks/use-system-monitor.ts

@@ -27,3 +27,5 @@ export function useSystemMonitor() {
   return stats;
 }
 
+
+

hooks/use-toast.ts

@@ -0,0 +1,27 @@
+'use client';
+
+import { useState, useCallback } from 'react';
+
+interface Toast {
+  title: string;
+  description?: string;
+  variant?: 'default' | 'destructive';
+}
+
+export function useToast() {
+  const showToast = useCallback(({ title, description, variant }: Toast) => {
+    // Simple implementation using console and alert for now
+    // Can be enhanced later with a proper toast component
+    if (variant === 'destructive') {
+      console.error(`[Toast] ${title}: ${description || ''}`);
+      alert(`Erro: ${title}\n${description || ''}`);
+    } else {
+      console.log(`[Toast] ${title}: ${description || ''}`);
+    }
+  }, []);
+
+  return {
+    toast: showToast,
+  };
+}
+

hooks/use-web-search.ts

@@ -0,0 +1,248 @@
+import { useState, useCallback } from 'react';
+import { webSearchService, ScrapedContent, SearchConfig } from '@/services/webSearch';
+import { useSettingsStore } from '@/store/settings-store';
+
+export type SearchStatus = 'idle' | 'searching' | 'scraping' | 'completed' | 'error';
+
+export interface WebSearchState {
+  isEnabled: boolean;
+  status: SearchStatus;
+  currentQuery: string;
+  scrapedSources: ScrapedContent[];
+  error: string | null;
+}
+
+const DEFAULT_STATE: WebSearchState = {
+  isEnabled: true,
+  status: 'idle',
+  currentQuery: '',
+  scrapedSources: [],
+  error: null,
+};
+
+/**
+ * Hook para gerenciar estado do Web Search
+ */
+export function useWebSearch() {
+  const [state, setState] = useState<WebSearchState>(() => {
+    // Carregar preferência do localStorage
+    if (typeof window !== 'undefined') {
+      const saved = localStorage.getItem('webSearchEnabled');
+      return {
+        ...DEFAULT_STATE,
+        isEnabled: saved !== null ? saved === 'true' : true,
+      };
+    }
+    return DEFAULT_STATE;
+  });
+
+  /**
+   * Ativa/desativa Web Search
+   */
+  const setEnabled = useCallback((enabled: boolean) => {
+    setState(prev => ({ ...prev, isEnabled: enabled }));
+    if (typeof window !== 'undefined') {
+      localStorage.setItem('webSearchEnabled', String(enabled));
+    }
+  }, []);
+
+  /**
+   * Executa busca
+   */
+  const search = useCallback(async (query: string, limit: number = 3, excludedDomains: string[] = []): Promise<ScrapedContent[]> => {
+    if (!query || !query.trim()) {
+      return [];
+    }
+
+    setState(prev => ({
+      ...prev,
+      status: 'searching',
+      currentQuery: query,
+      error: null,
+      scrapedSources: [],
+    }));
+
+    try {
+      // Buscar configurações do store
+      const settings = useSettingsStore.getState();
+      
+      // Construir SearchConfig a partir das configurações
+      const searchConfig: SearchConfig = {
+        maxConcurrentTabs: settings.webSearch.maxConcurrentTabs,
+        totalSourcesLimit: settings.webSearch.totalSourcesLimit,
+        categories: settings.webSearch.categories,
+        userCustomSites: settings.webSearch.userCustomSites,
+        excludedDomains: excludedDomains.length > 0 ? excludedDomains : settings.webSearch.excludedDomains,
+      };
+
+      // Fase 1: Buscando
+      setState(prev => ({ ...prev, status: 'searching' }));
+
+      // Fase 2: Scraping (o serviço já faz isso internamente)
+      setState(prev => ({ ...prev, status: 'scraping' }));
+
+      const results = await webSearchService.search(query, limit, excludedDomains, searchConfig);
+
+      // [DEBUG INJECTION START]
+      console.log('🌐 Debug: Web Search Service Results', {
+        count: results.length,
+        firstResultHasMarkdown: results[0] ? !!results[0].markdown : 'N/A',
+        firstResultMarkdownLen: results[0]?.markdown?.length || 0,
+        allResults: results.map((r, idx) => ({
+          index: idx,
+          url: r.url,
+          title: r.title,
+          hasMarkdown: !!r.markdown,
+          markdownLength: r.markdown?.length || 0,
+          markdownPreview: r.markdown?.substring(0, 150) || 'SEM MARKDOWN'
+        }))
+      });
+      // [DEBUG INJECTION END]
+
+      setState(prev => ({
+        ...prev,
+        status: 'completed',
+        scrapedSources: results,
+        error: null,
+      }));
+
+      return results;
+    } catch (error) {
+      const errorMessage = error instanceof Error ? error.message : 'Erro desconhecido ao buscar';
+      setState(prev => ({
+        ...prev,
+        status: 'error',
+        error: errorMessage,
+        scrapedSources: [],
+      }));
+      throw error;
+    }
+  }, []);
+
+  /**
+   * Pipeline em duas etapas: metadados → scraping das top URLs
+   * Agora suporta timeout adaptativo por round
+   */
+  const smartSearchRag = useCallback(async (query: string, limit: number = 3, round?: number): Promise<ScrapedContent[]> => {
+    if (!query || !query.trim()) {
+      return [];
+    }
+
+    setState(prev => ({
+      ...prev,
+      status: 'searching',
+      currentQuery: query,
+      error: null,
+      scrapedSources: [],
+    }));
+
+    try {
+      const settings = useSettingsStore.getState();
+      const searchConfig: SearchConfig = {
+        maxConcurrentTabs: settings.webSearch.maxConcurrentTabs,
+        totalSourcesLimit: settings.webSearch.totalSourcesLimit,
+        categories: settings.webSearch.categories,
+        userCustomSites: settings.webSearch.userCustomSites,
+        excludedDomains: settings.webSearch.excludedDomains,
+      };
+
+      // Etapa 1: metadados
+      setState(prev => ({ ...prev, status: 'searching' }));
+      const timeoutMs = settings.webSearch.timeout || 10000; // Reduzido de 15s para 10s
+      const { metadata, contents } = await webSearchService.smartSearchRag(
+        query, 
+        limit, 
+        searchConfig,
+        timeoutMs,
+        round || 1
+      );
+
+      // Etapa 2: scraping
+      setState(prev => ({ ...prev, status: 'scraping' }));
+
+      // [DEBUG] metadados coletados
+      console.log('🔎 Metadados coletados:', metadata);
+
+      setState(prev => ({
+        ...prev,
+        status: 'completed',
+        scrapedSources: contents,
+        error: null,
+      }));
+
+      // Retornar resultados mesmo se parciais (não quebrar o fluxo)
+      return contents;
+    } catch (error) {
+      // Se houver erro, logar mas retornar array vazio (não quebrar o fluxo)
+      const errorMessage = error instanceof Error ? error.message : 'Erro desconhecido no smartSearchRag';
+      console.warn('Erro em smartSearchRag (retornando vazio):', errorMessage);
+      
+      setState(prev => ({
+        ...prev,
+        status: 'error',
+        error: errorMessage,
+        scrapedSources: [],
+      }));
+      
+      // Retornar vazio em vez de throw para não quebrar o fluxo
+      return [];
+    }
+  }, []);
+
+  /**
+   * Extrai conteúdo de uma URL
+   */
+  const extractUrl = useCallback(async (url: string): Promise<ScrapedContent> => {
+    setState(prev => ({
+      ...prev,
+      status: 'scraping',
+      error: null,
+    }));
+
+    try {
+      const result = await webSearchService.extractUrl(url);
+      setState(prev => ({
+        ...prev,
+        status: 'completed',
+        error: null,
+      }));
+      return result;
+    } catch (error) {
+      const errorMessage = error instanceof Error ? error.message : 'Erro desconhecido ao extrair URL';
+      setState(prev => ({
+        ...prev,
+        status: 'error',
+        error: errorMessage,
+      }));
+      throw error;
+    }
+  }, []);
+
+  /**
+   * Reseta o estado
+   */
+  const reset = useCallback(() => {
+    setState({
+      ...DEFAULT_STATE,
+      isEnabled: state.isEnabled, // Manter preferência
+    });
+  }, [state.isEnabled]);
+
+  /**
+   * Limpa cache
+   */
+  const clearCache = useCallback(() => {
+    webSearchService.clearCache();
+  }, []);
+
+  return {
+    ...state,
+    setEnabled,
+    search,
+    smartSearchRag,
+    extractUrl,
+    reset,
+    clearCache,
+  };
+}
+

lib/content-condenser.ts

@@ -0,0 +1,387 @@
+import type { ResearchEntry } from '@/hooks/use-deep-research';
+
+export interface Chunk {
+  content: string;
+  score: number;
+  sourceIndex: number;
+  startIndex: number;
+  endIndex: number;
+  sourceUrl?: string;
+  sourceTitle?: string;
+}
+
+export interface ProcessedContent {
+  original: string;
+  summarized?: string;
+  chunks: Chunk[];
+  keyFacts: string[];
+  totalTokens: number;
+}
+
+export interface ProcessingOptions {
+  maxChunkSize?: number;
+  summarizeThreshold?: number;
+  maxSummaryLength?: number;
+}
+
+const DEFAULT_OPTIONS: Required<ProcessingOptions> = {
+  maxChunkSize: 1024,
+  summarizeThreshold: 5000,
+  maxSummaryLength: 2000,
+};
+
+/**
+ * Sumariza conteúdo markdown mantendo estrutura e informações-chave
+ * 
+ * @param content - Conteúdo markdown a ser sumarizado
+ * @param maxLen - Comprimento máximo do sumário
+ * @returns Conteúdo sumarizado
+ */
+export function summarizeMarkdown(content: string, maxLen: number = 2000): string {
+  if (!content || content.length <= maxLen) {
+    return content;
+  }
+
+  // Dividir por headings (###, ##, #)
+  const headingRegex = /^(#{1,3})\s+(.+)$/gm;
+  const sections: Array<{ level: number; title: string; content: string; startIndex: number }> = [];
+  
+  let lastIndex = 0;
+  let match;
+  const contentLines = content.split('\n');
+  
+  // Encontrar todas as seções
+  while ((match = headingRegex.exec(content)) !== null) {
+    const level = match[1].length;
+    const title = match[2].trim();
+    const startIndex = content.substring(0, match.index).split('\n').length - 1;
+    
+    // Encontrar conteúdo da seção (até próximo heading ou fim)
+    let endIndex = contentLines.length;
+    const nextHeadingRegex = /^(#{1,3})\s+/gm;
+    nextHeadingRegex.lastIndex = match.index + match[0].length;
+    const nextMatch = nextHeadingRegex.exec(content);
+    if (nextMatch) {
+      endIndex = content.substring(0, nextMatch.index).split('\n').length - 1;
+    }
+    
+    const sectionContent = contentLines.slice(startIndex + 1, endIndex).join('\n').trim();
+    
+    sections.push({
+      level,
+      title,
+      content: sectionContent,
+      startIndex,
+    });
+    
+    lastIndex = endIndex;
+  }
+  
+  // Se não encontrou headings, dividir por parágrafos
+  if (sections.length === 0) {
+    const paragraphs = content.split(/\n\s*\n/).filter(p => p.trim().length > 0);
+    let summary = '';
+    
+    for (const para of paragraphs) {
+      if (summary.length + para.length + 2 <= maxLen) {
+        summary += para.trim() + '\n\n';
+      } else {
+        // Adicionar parte do parágrafo se ainda houver espaço
+        const remaining = maxLen - summary.length - 2;
+        if (remaining > 100) {
+          summary += para.substring(0, remaining).trim() + '...';
+        }
+        break;
+      }
+    }
+    
+    return summary.trim() || content.substring(0, maxLen);
+  }
+  
+  // Construir sumário priorizando seções de nível superior
+  let summary = '';
+  const sortedSections = sections.sort((a, b) => a.level - b.level);
+  
+  for (const section of sortedSections) {
+    const sectionText = `## ${section.title}\n\n${section.content}\n\n`;
+    
+    if (summary.length + sectionText.length <= maxLen) {
+      summary += sectionText;
+    } else {
+      // Adicionar parte da seção se ainda houver espaço
+      const remaining = maxLen - summary.length - 50; // 50 para heading
+      if (remaining > 100) {
+        const truncatedContent = section.content.substring(0, remaining).trim();
+        summary += `## ${section.title}\n\n${truncatedContent}...\n\n`;
+      }
+      break;
+    }
+  }
+  
+  return summary.trim() || content.substring(0, maxLen);
+}
+
+/**
+ * Divide conteúdo markdown em chunks por seções
+ * 
+ * @param markdown - Conteúdo markdown
+ * @param maxChunkSize - Tamanho máximo de cada chunk
+ * @returns Array de chunks
+ */
+export function chunkBySections(
+  markdown: string,
+  maxChunkSize: number = 1024
+): Chunk[] {
+  if (!markdown || markdown.length === 0) {
+    return [];
+  }
+
+  const chunks: Chunk[] = [];
+  const lines = markdown.split('\n');
+  
+  // Dividir por headings primeiro
+  const headingRegex = /^(#{1,3})\s+(.+)$/;
+  let currentChunk: string[] = [];
+  let currentHeading = '';
+  let startIndex = 0;
+  let chunkIndex = 0;
+  
+  for (let i = 0; i < lines.length; i++) {
+    const line = lines[i];
+    const headingMatch = line.match(headingRegex);
+    
+    if (headingMatch) {
+      // Se já temos um chunk, salvá-lo
+      if (currentChunk.length > 0) {
+        const chunkContent = currentChunk.join('\n');
+        if (chunkContent.trim().length > 0) {
+          chunks.push({
+            content: chunkContent,
+            score: 0, // Será calculado depois
+            sourceIndex: 0, // Será atribuído depois
+            startIndex: startIndex,
+            endIndex: i - 1,
+          });
+          chunkIndex++;
+        }
+      }
+      
+      // Iniciar novo chunk
+      currentHeading = line;
+      currentChunk = [line];
+      startIndex = i;
+    } else {
+      currentChunk.push(line);
+      
+      // Se chunk ficou muito grande, dividir por parágrafos
+      const currentContent = currentChunk.join('\n');
+      if (currentContent.length > maxChunkSize) {
+        // Salvar chunk atual (sem a linha atual)
+        const chunkWithoutLast = currentChunk.slice(0, -1).join('\n');
+        if (chunkWithoutLast.trim().length > 0) {
+          chunks.push({
+            content: chunkWithoutLast,
+            score: 0,
+            sourceIndex: 0,
+            startIndex: startIndex,
+            endIndex: i - 1,
+          });
+          chunkIndex++;
+        }
+        
+        // Iniciar novo chunk com a linha atual
+        currentChunk = [currentHeading, line].filter(Boolean);
+        startIndex = i;
+      }
+    }
+  }
+  
+  // Adicionar último chunk
+  if (currentChunk.length > 0) {
+    const chunkContent = currentChunk.join('\n');
+    if (chunkContent.trim().length > 0) {
+      chunks.push({
+        content: chunkContent,
+        score: 0,
+        sourceIndex: 0,
+        startIndex: startIndex,
+        endIndex: lines.length - 1,
+      });
+    }
+  }
+  
+  // Se não encontrou headings, dividir por parágrafos
+  if (chunks.length === 0) {
+    const paragraphs = markdown.split(/\n\s*\n/).filter(p => p.trim().length > 0);
+    let currentChunkContent = '';
+    let paraStartIndex = 0;
+    
+    for (let i = 0; i < paragraphs.length; i++) {
+      const para = paragraphs[i].trim();
+      
+      if (currentChunkContent.length + para.length + 2 <= maxChunkSize) {
+        currentChunkContent += (currentChunkContent ? '\n\n' : '') + para;
+      } else {
+        // Salvar chunk atual
+        if (currentChunkContent.length > 0) {
+          chunks.push({
+            content: currentChunkContent,
+            score: 0,
+            sourceIndex: 0,
+            startIndex: paraStartIndex,
+            endIndex: i - 1,
+          });
+        }
+        
+        // Iniciar novo chunk
+        currentChunkContent = para;
+        paraStartIndex = i;
+      }
+    }
+    
+    // Adicionar último chunk
+    if (currentChunkContent.length > 0) {
+      chunks.push({
+        content: currentChunkContent,
+        score: 0,
+        sourceIndex: 0,
+        startIndex: paraStartIndex,
+        endIndex: paragraphs.length - 1,
+      });
+    }
+  }
+  
+  return chunks;
+}
+
+/**
+ * Extrai fatos-chave do conteúdo (entidades, datas, números)
+ * 
+ * @param markdown - Conteúdo markdown
+ * @returns Array de fatos extraídos
+ */
+export function extractKeyFacts(markdown: string): string[] {
+  if (!markdown) {
+    return [];
+  }
+
+  const facts: string[] = [];
+  const normalized = markdown.toLowerCase();
+  
+  // Extrair datas (formato brasileiro: DD/MM/YYYY ou DD-MM-YYYY)
+  const dateRegex = /\b(\d{1,2}[\/\-]\d{1,2}[\/\-]\d{2,4})\b/g;
+  const dates = [...markdown.matchAll(dateRegex)];
+  dates.forEach(match => {
+    if (!facts.includes(match[0])) {
+      facts.push(match[0]);
+    }
+  });
+  
+  // Extrair anos (4 dígitos entre 1900-2100)
+  const yearRegex = /\b(19\d{2}|20[0-2]\d)\b/g;
+  const years = [...markdown.matchAll(yearRegex)];
+  years.forEach(match => {
+    if (!facts.includes(match[0])) {
+      facts.push(match[0]);
+    }
+  });
+  
+  // Extrair números relevantes (valores, estatísticas)
+  // Padrão: número seguido de unidade ou contexto
+  const numberPatterns = [
+    /\b(\d{1,3}(?:\.\d{3})*(?:,\d+)?)\s*(?:milhões?|milhões?|bilhões?|bilhões?|mil|km|metros?|metros?|anos?|anos?|pessoas?|habitantes?)/gi,
+    /\bR\$\s*(\d{1,3}(?:\.\d{3})*(?:,\d+)?)/gi,
+    /\b(\d{1,3}(?:\.\d{3})*(?:,\d+)?)\s*%/g,
+  ];
+  
+  numberPatterns.forEach(pattern => {
+    const matches = [...markdown.matchAll(pattern)];
+    matches.forEach(match => {
+      const fact = match[0].trim();
+      if (fact.length > 0 && !facts.includes(fact)) {
+        facts.push(fact);
+      }
+    });
+  });
+  
+  // Extrair locais (padrões comuns: "em [Local]", "de [Local]", "para [Local]")
+  const locationPatterns = [
+    /\b(?:em|de|para|no|na|nos|nas)\s+([A-ZÁÉÍÓÚÂÊÔ][a-záéíóúâêôãõç]+(?:\s+[A-ZÁÉÍÓÚÂÊÔ][a-záéíóúâêôãõç]+)*)/g,
+    /\b([A-ZÁÉÍÓÚÂÊÔ][a-záéíóúâêôãõç]+\s+(?:de\s+)?[A-ZÁÉÍÓÚÂÊÔ][a-záéíóúâêôãõç]+)\b/g,
+  ];
+  
+  locationPatterns.forEach(pattern => {
+    const matches = [...markdown.matchAll(pattern)];
+    matches.forEach(match => {
+      const location = match[1]?.trim();
+      if (location && location.length > 3 && location.length < 50 && !facts.includes(location)) {
+        // Filtrar palavras comuns que não são locais
+        const commonWords = ['o', 'a', 'os', 'as', 'um', 'uma', 'de', 'da', 'do', 'das', 'dos'];
+        if (!commonWords.includes(location.toLowerCase())) {
+          facts.push(location);
+        }
+      }
+    });
+  });
+  
+  // Limitar a 20 fatos mais relevantes
+  return facts.slice(0, 20);
+}
+
+/**
+ * Processa conteúdo: sumariza, extrai fatos e faz chunking
+ * 
+ * @param content - Conteúdo original
+ * @param query - Query do usuário (para contexto)
+ * @param options - Opções de processamento
+ * @returns Conteúdo processado
+ */
+export function processContent(
+  content: string,
+  query: string = '',
+  options: ProcessingOptions = {}
+): ProcessedContent {
+  const opts = { ...DEFAULT_OPTIONS, ...options };
+  
+  if (!content || content.length === 0) {
+    return {
+      original: content,
+      chunks: [],
+      keyFacts: [],
+      totalTokens: 0,
+    };
+  }
+  
+  // Sumarizar se muito longo
+  let processedContent = content;
+  let summarized: string | undefined;
+  
+  if (content.length > opts.summarizeThreshold) {
+    summarized = summarizeMarkdown(content, opts.maxSummaryLength);
+    processedContent = summarized;
+  }
+  
+  // Extrair fatos-chave
+  const keyFacts = extractKeyFacts(content);
+  
+  // Fazer chunking
+  const chunks = chunkBySections(processedContent, opts.maxChunkSize);
+  
+  // Atribuir sourceIndex aos chunks (todos do mesmo source por enquanto)
+  chunks.forEach((chunk, idx) => {
+    chunk.sourceIndex = 0;
+  });
+  
+  // Calcular tokens totais (aproximação: 1 token ≈ 4 caracteres)
+  const totalTokens = Math.ceil(processedContent.length / 4);
+  
+  return {
+    original: content,
+    summarized,
+    chunks,
+    keyFacts,
+    totalTokens,
+  };
+}
+
+

lib/context-unifier.ts

@@ -0,0 +1,320 @@
+import type { ResearchEntry } from '@/hooks/use-deep-research';
+import type { QueryContext } from './contextual-analyzer';
+import { chatLog } from './terminal-logger';
+
+/**
+ * Fato extraído de uma fonte
+ */
+export interface ExtractedFact {
+  fact: string;
+  sourceId: string;
+  sourceUrl: string;
+  sourceTitle: string;
+  confidence: number; // 0-1
+  entities?: string[]; // Entidades mencionadas no fato
+}
+
+/**
+ * Resultado da unificação de contexto
+ */
+export interface UnifiedContext {
+  unifiedText: string;
+  keyFacts: ExtractedFact[];
+  contradictions: Array<{
+    fact1: ExtractedFact;
+    fact2: ExtractedFact;
+    description: string;
+  }>;
+  sources: Array<{
+    id: string;
+    title: string;
+    url: string;
+    factsCount: number;
+  }>;
+  totalFacts: number;
+  uniqueFacts: number;
+}
+
+/**
+ * Prompt para extração de fatos usando LLM
+ */
+const FACT_EXTRACTION_PROMPT = `Você é um especialista em extração de fatos e análise de informações.
+
+Analise o conteúdo abaixo e extraia os fatos principais relevantes para responder à query do usuário.
+
+## QUERY DO USUÁRIO
+"{{query}}"
+
+## CONTEXTO ANALISADO
+- Intenção: {{intent}}
+- Tópicos: {{topics}}
+- Entidades: {{entities}}
+
+## CONTEÚDO DA FONTE
+Título: {{title}}
+URL: {{url}}
+
+{{content}}
+
+## INSTRUÇÕES
+
+Extraia os fatos principais do conteúdo acima que são relevantes para responder à query do usuário.
+
+Para cada fato:
+- Seja específico e factual
+- Inclua entidades mencionadas (pessoas, lugares, datas, conceitos)
+- Mantenha o contexto necessário para entender o fato
+- Evite informações genéricas ou óbvias
+
+## FORMATO DE SAÍDA
+
+Retorne APENAS um JSON válido com um array de fatos:
+
+[
+  {
+    "fact": "Fato específico extraído do conteúdo",
+    "entities": ["entidade1", "entidade2"],
+    "confidence": 0.9
+  },
+  ...
+]
+
+IMPORTANTE:
+- Retorne APENAS o JSON, sem markdown, sem explicações
+- Confidence deve ser entre 0 e 1 (0.9 = muito confiável, 0.5 = incerto)
+- Extraia 3-8 fatos principais, não mais
+- Fatos devem ser independentes e específicos`;
+
+/**
+ * Extrai fatos principais de uma entrada de pesquisa
+ */
+export async function extractKeyFacts(
+  entry: ResearchEntry,
+  query: string,
+  context: QueryContext | null,
+  model: string
+): Promise<ExtractedFact[]> {
+  try {
+    const entitiesStr = context?.entities.map(e => `${e.type}: ${e.value}`).join(', ') || 'nenhuma';
+    const topicsStr = context?.topics.join(', ') || 'nenhum';
+    const intentStr = context?.intent || 'unknown';
+
+    const prompt = FACT_EXTRACTION_PROMPT
+      .replace('{{query}}', query)
+      .replace('{{intent}}', intentStr)
+      .replace('{{topics}}', topicsStr)
+      .replace('{{entities}}', entitiesStr)
+      .replace('{{title}}', entry.title)
+      .replace('{{url}}', entry.sourceUrl)
+      .replace('{{content}}', entry.content.substring(0, 4000)); // Limitar tamanho
+
+    const response = await fetch('http://localhost:11434/api/generate', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({
+        model,
+        prompt,
+        stream: false,
+        options: {
+          temperature: 0.3,
+          num_predict: 600,
+        },
+      }),
+    });
+
+    if (!response.ok) {
+      throw new Error(`HTTP ${response.status}`);
+    }
+
+    const data = await response.json();
+    const rawResponse = (data.response || '').trim();
+
+    // Limpar e extrair JSON
+    let jsonText = rawResponse
+      .replace(/^```json\s*/i, '')
+      .replace(/^```\s*/i, '')
+      .replace(/```\s*$/i, '')
+      .trim();
+
+    const jsonMatch = jsonText.match(/\[[\s\S]*\]/);
+    if (jsonMatch) {
+      jsonText = jsonMatch[0];
+    }
+
+    const facts = JSON.parse(jsonText) as Array<{
+      fact: string;
+      entities?: string[];
+      confidence: number;
+    }>;
+
+    return facts.map(f => ({
+      fact: f.fact,
+      sourceId: entry.id,
+      sourceUrl: entry.sourceUrl,
+      sourceTitle: entry.title,
+      confidence: f.confidence || 0.7,
+      entities: f.entities || [],
+    }));
+  } catch (error) {
+    chatLog.warn(`[ContextUnifier] Erro ao extrair fatos de ${entry.title}:`, error);
+    // Fallback: criar fato básico do título
+    return [{
+      fact: entry.title,
+      sourceId: entry.id,
+      sourceUrl: entry.sourceUrl,
+      sourceTitle: entry.title,
+      confidence: 0.5,
+    }];
+  }
+}
+
+/**
+ * Detecta contradições entre fatos
+ */
+function detectContradictions(facts: ExtractedFact[]): Array<{
+  fact1: ExtractedFact;
+  fact2: ExtractedFact;
+  description: string;
+}> {
+  const contradictions: Array<{
+    fact1: ExtractedFact;
+    fact2: ExtractedFact;
+    description: string;
+  }> = [];
+
+  // Comparar fatos por similaridade de entidades
+  for (let i = 0; i < facts.length; i++) {
+    for (let j = i + 1; j < facts.length; j++) {
+      const fact1 = facts[i];
+      const fact2 = facts[j];
+
+      // Verificar se mencionam as mesmas entidades
+      const sharedEntities = fact1.entities?.filter(e => 
+        fact2.entities?.includes(e)
+      ) || [];
+
+      if (sharedEntities.length > 0) {
+        // Verificar se os fatos são contraditórios (heurística simples)
+        const fact1Lower = fact1.fact.toLowerCase();
+        const fact2Lower = fact2.fact.toLowerCase();
+
+        // Palavras que indicam contradição
+        const contradictionIndicators = [
+          fact1Lower.includes('não') && fact2Lower.includes('sim'),
+          fact1Lower.includes('sim') && fact2Lower.includes('não'),
+          fact1Lower.includes('falso') && !fact2Lower.includes('falso'),
+          !fact1Lower.includes('falso') && fact2Lower.includes('falso'),
+        ];
+
+        if (contradictionIndicators.some(Boolean)) {
+          contradictions.push({
+            fact1,
+            fact2,
+            description: `Possível contradição sobre ${sharedEntities.join(', ')}`,
+          });
+        }
+      }
+    }
+  }
+
+  return contradictions;
+}
+
+/**
+ * Agrupa fatos similares
+ */
+function groupSimilarFacts(facts: ExtractedFact[]): Map<string, ExtractedFact[]> {
+  const groups = new Map<string, ExtractedFact[]>();
+
+  for (const fact of facts) {
+    // Criar chave baseada em entidades principais
+    const key = fact.entities?.slice(0, 2).join('|') || fact.fact.substring(0, 50);
+    
+    if (!groups.has(key)) {
+      groups.set(key, []);
+    }
+    groups.get(key)!.push(fact);
+  }
+
+  return groups;
+}
+
+/**
+ * Unifica contexto de múltiplas fontes
+ */
+export async function unifyContext(
+  entries: ResearchEntry[],
+  query: string,
+  context: QueryContext | null,
+  model: string
+): Promise<UnifiedContext> {
+  chatLog.info(`[ContextUnifier] Unificando contexto de ${entries.length} fontes`);
+
+  // Extrair fatos de todas as fontes
+  const allFacts: ExtractedFact[] = [];
+  const factPromises = entries.map(entry => extractKeyFacts(entry, query, context, model));
+  const factArrays = await Promise.all(factPromises);
+  
+  for (const facts of factArrays) {
+    allFacts.push(...facts);
+  }
+
+  chatLog.info(`[ContextUnifier] Extraídos ${allFacts.length} fatos de ${entries.length} fontes`);
+
+  // Agrupar fatos similares
+  const factGroups = groupSimilarFacts(allFacts);
+
+  // Detectar contradições
+  const contradictions = detectContradictions(allFacts);
+
+  if (contradictions.length > 0) {
+    chatLog.warn(`[ContextUnifier] Detectadas ${contradictions.length} possíveis contradições`);
+  }
+
+  // Criar texto unificado
+  const unifiedSections: string[] = [];
+  const sourceMap = new Map<string, { title: string; url: string; factsCount: number }>();
+
+  // Agrupar por fonte
+  for (const entry of entries) {
+    const entryFacts = allFacts.filter(f => f.sourceId === entry.id);
+    
+    if (entryFacts.length > 0) {
+      sourceMap.set(entry.id, {
+        title: entry.title,
+        url: entry.sourceUrl,
+        factsCount: entryFacts.length,
+      });
+
+      unifiedSections.push(`## ${entry.title}`);
+      unifiedSections.push(`Fonte: ${entry.sourceUrl}\n`);
+      
+      // Adicionar fatos principais
+      entryFacts
+        .sort((a, b) => b.confidence - a.confidence)
+        .slice(0, 5) // Top 5 fatos por fonte
+        .forEach(fact => {
+          unifiedSections.push(`- ${fact.fact}`);
+        });
+      
+      unifiedSections.push('');
+    }
+  }
+
+  const unifiedText = unifiedSections.join('\n');
+
+  // Remover duplicatas de fatos (mesmo texto)
+  const uniqueFacts = Array.from(
+    new Map(allFacts.map(f => [f.fact.toLowerCase(), f])).values()
+  );
+
+  return {
+    unifiedText,
+    keyFacts: allFacts.sort((a, b) => b.confidence - a.confidence),
+    contradictions,
+    sources: Array.from(sourceMap.values()),
+    totalFacts: allFacts.length,
+    uniqueFacts: uniqueFacts.length,
+  };
+}
+

lib/contextual-analyzer.ts

@@ -0,0 +1,276 @@
+import { chatLog } from './terminal-logger';
+
+/**
+ * Tipos de intenção da query
+ */
+export type QueryIntent = 
+  | 'factual'      // Busca por fatos específicos
+  | 'comparison'   // Comparação entre entidades
+  | 'how-to'       // Instruções ou tutoriais
+  | 'definition'   // Definição de conceito
+  | 'list'         // Listagem de itens
+  | 'opinion'      // Opiniões ou análises
+  | 'temporal'     // Informações temporais (quando, histórico)
+  | 'causal'       // Causa e efeito (por que, como funciona)
+  | 'unknown';      // Não identificado
+
+/**
+ * Entidade extraída da query
+ */
+export interface ExtractedEntity {
+  type: 'person' | 'location' | 'date' | 'concept' | 'organization' | 'event' | 'product' | 'other';
+  value: string;
+  confidence: number; // 0-1
+}
+
+/**
+ * Relacionamento entre entidades
+ */
+export interface EntityRelationship {
+  from: string;
+  to: string;
+  relation: string; // ex: "localizado em", "criado por", "relacionado com"
+  confidence: number;
+}
+
+/**
+ * Contexto temporal extraído
+ */
+export interface TemporalContext {
+  period?: string;      // ex: "2024", "últimos 5 anos"
+  date?: string;        // Data específica
+  relative?: string;    // ex: "recente", "atual", "histórico"
+}
+
+/**
+ * Contexto geográfico extraído
+ */
+export interface GeographicContext {
+  location?: string;   // Cidade, estado, país
+  region?: string;      // Região, continente
+  coordinates?: { lat: number; lng: number };
+}
+
+/**
+ * Análise contextual completa da query
+ */
+export interface QueryContext {
+  originalQuery: string;
+  intent: QueryIntent;
+  entities: ExtractedEntity[];
+  topics: string[];                    // Tópicos principais identificados
+  relationships: EntityRelationship[]; // Relacionamentos entre entidades
+  implicitQuestions: string[];         // Perguntas implícitas na query
+  temporalContext?: TemporalContext;
+  geographicContext?: GeographicContext;
+  keywords: string[];                   // Palavras-chave importantes
+  synonyms: string[];                   // Sinônimos relevantes
+  domain?: string;                      // Domínio (ex: "acadêmico", "tecnologia", "saúde")
+  complexity: 'simple' | 'moderate' | 'complex';
+}
+
+/**
+ * Prompt para análise contextual usando LLM
+ */
+const CONTEXTUAL_ANALYSIS_PROMPT = `Você é um especialista em análise semântica e extração de contexto de queries de busca.
+
+Analise a query abaixo e extraia TODAS as informações contextuais relevantes.
+
+Query: "{{query}}"
+
+## INSTRUÇÕES
+
+1. **INTENÇÃO**: Identifique o tipo de intenção (factual, comparison, how-to, definition, list, opinion, temporal, causal)
+2. **ENTIDADES**: Extraia todas as entidades mencionadas (pessoas, lugares, datas, conceitos, organizações, eventos, produtos)
+3. **TÓPICOS**: Identifique os tópicos principais abordados
+4. **RELACIONAMENTOS**: Identifique relacionamentos implícitos entre entidades
+5. **PERGUNTAS IMPLÍCITAS**: Quais perguntas relacionadas estão implícitas?
+6. **CONTEXTO TEMPORAL**: Há referências a tempo? (datas, períodos, "recente", "atual", "histórico")
+7. **CONTEXTO GEOGRÁFICO**: Há referências a localização? (cidades, estados, países, regiões)
+8. **PALAVRAS-CHAVE**: Identifique palavras-chave importantes (remover stop words)
+9. **SINÔNIMOS**: Liste sinônimos relevantes para os termos principais
+10. **DOMÍNIO**: Identifique o domínio da query (acadêmico, tecnologia, saúde, negócios, etc.)
+11. **COMPLEXIDADE**: Avalie a complexidade (simple, moderate, complex)
+
+## FORMATO DE SAÍDA
+
+Retorne APENAS um JSON válido no seguinte formato:
+
+{
+  "intent": "list",
+  "entities": [
+    {"type": "concept", "value": "resultados acadêmicos", "confidence": 0.9},
+    {"type": "concept", "value": "prêmios", "confidence": 0.9}
+  ],
+  "topics": ["pesquisa científica", "reconhecimento acadêmico", "premiações"],
+  "relationships": [
+    {"from": "resultados acadêmicos", "to": "prêmios", "relation": "recebem", "confidence": 0.8}
+  ],
+  "implicitQuestions": [
+    "Quais foram os prêmios acadêmicos mais recentes?",
+    "Quem recebeu prêmios acadêmicos?"
+  ],
+  "temporalContext": {"relative": "recente", "period": "2024"},
+  "geographicContext": null,
+  "keywords": ["resultados", "acadêmicos", "premiados", "últimos"],
+  "synonyms": ["pesquisas", "estudos", "trabalhos científicos", "reconhecimento", "distinções"],
+  "domain": "acadêmico",
+  "complexity": "moderate"
+}
+
+IMPORTANTE:
+- Retorne APENAS o JSON, sem markdown, sem explicações
+- Use null para campos não aplicáveis
+- Confidence deve ser entre 0 e 1
+- Preserve nomes próprios e termos técnicos na forma original`;
+
+/**
+ * Analisa o contexto de uma query usando LLM
+ * 
+ * @param query - Query original do usuário
+ * @param model - Modelo LLM a ser usado
+ * @returns Análise contextual completa
+ */
+export async function analyzeQueryContext(
+  query: string,
+  model: string
+): Promise<QueryContext> {
+  if (!query || !query.trim()) {
+    return {
+      originalQuery: query,
+      intent: 'unknown',
+      entities: [],
+      topics: [],
+      relationships: [],
+      implicitQuestions: [],
+      keywords: [],
+      synonyms: [],
+      complexity: 'simple',
+    };
+  }
+
+  chatLog.info(`[ContextualAnalysis] Analisando contexto da query: "${query}"`);
+
+  try {
+    const prompt = CONTEXTUAL_ANALYSIS_PROMPT.replace('{{query}}', query);
+
+    const response = await fetch('http://localhost:11434/api/generate', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({
+        model,
+        prompt,
+        stream: false,
+        options: {
+          temperature: 0.3, // Baixa temperatura para análise mais determinística
+          num_predict: 800,  // Espaço suficiente para JSON completo
+        },
+      }),
+    });
+
+    if (!response.ok) {
+      throw new Error(`HTTP ${response.status}: ${response.statusText}`);
+    }
+
+    const data = await response.json();
+    const rawResponse = (data.response || '').trim();
+
+    // Limpar resposta (remover markdown code blocks se houver)
+    let jsonText = rawResponse
+      .replace(/^```json\s*/i, '')
+      .replace(/^```\s*/i, '')
+      .replace(/```\s*$/i, '')
+      .trim();
+
+    // Tentar extrair JSON se houver texto antes/depois
+    const jsonMatch = jsonText.match(/\{[\s\S]*\}/);
+    if (jsonMatch) {
+      jsonText = jsonMatch[0];
+    }
+
+    const analysis = JSON.parse(jsonText) as Partial<QueryContext>;
+
+    // Validar e preencher campos obrigatórios
+    const context: QueryContext = {
+      originalQuery: query,
+      intent: (analysis.intent as QueryIntent) || 'unknown',
+      entities: analysis.entities || [],
+      topics: analysis.topics || [],
+      relationships: analysis.relationships || [],
+      implicitQuestions: analysis.implicitQuestions || [],
+      temporalContext: analysis.temporalContext,
+      geographicContext: analysis.geographicContext,
+      keywords: analysis.keywords || [],
+      synonyms: analysis.synonyms || [],
+      domain: analysis.domain,
+      complexity: analysis.complexity || 'moderate',
+    };
+
+    chatLog.success(`[ContextualAnalysis] Contexto extraído: ${context.intent}, ${context.entities.length} entidades, ${context.topics.length} tópicos`);
+
+    return context;
+  } catch (error) {
+    chatLog.error(`[ContextualAnalysis] Erro ao analisar contexto:`, error);
+
+    // Fallback: análise básica usando heurísticas
+    return createFallbackContext(query);
+  }
+}
+
+/**
+ * Cria contexto básico usando heurísticas quando a análise LLM falha
+ */
+function createFallbackContext(query: string): QueryContext {
+  const lowerQuery = query.toLowerCase();
+  
+  // Detectar intenção básica
+  let intent: QueryIntent = 'factual';
+  if (lowerQuery.includes('como') || lowerQuery.includes('tutorial')) {
+    intent = 'how-to';
+  } else if (lowerQuery.includes('o que é') || lowerQuery.includes('definição')) {
+    intent = 'definition';
+  } else if (lowerQuery.includes('quais') || lowerQuery.includes('lista')) {
+    intent = 'list';
+  } else if (lowerQuery.includes('comparar') || lowerQuery.includes('vs')) {
+    intent = 'comparison';
+  } else if (lowerQuery.includes('por que') || lowerQuery.includes('causa')) {
+    intent = 'causal';
+  }
+
+  // Extrair palavras-chave básicas
+  const stopWords = new Set([
+    'o', 'a', 'os', 'as', 'um', 'uma', 'de', 'da', 'do', 'das', 'dos',
+    'em', 'no', 'na', 'nos', 'nas', 'para', 'por', 'com', 'sem',
+    'que', 'qual', 'quais', 'onde', 'quando', 'como', 'porque',
+  ]);
+
+  const keywords = query
+    .toLowerCase()
+    .split(/\s+/)
+    .filter(word => word.length > 2 && !stopWords.has(word));
+
+  // Detectar contexto temporal
+  let temporalContext: TemporalContext | undefined;
+  if (lowerQuery.includes('último') || lowerQuery.includes('recente') || lowerQuery.includes('atual')) {
+    temporalContext = { relative: 'recente' };
+  } else if (lowerQuery.includes('2024') || lowerQuery.includes('2023')) {
+    const yearMatch = query.match(/\b(20\d{2})\b/);
+    if (yearMatch) {
+      temporalContext = { period: yearMatch[1] };
+    }
+  }
+
+  return {
+    originalQuery: query,
+    intent,
+    entities: [],
+    topics: keywords.slice(0, 5), // Usar keywords como tópicos
+    relationships: [],
+    implicitQuestions: [],
+    temporalContext,
+    keywords,
+    synonyms: [],
+    complexity: keywords.length > 5 ? 'complex' : keywords.length > 2 ? 'moderate' : 'simple',
+  };
+}
+

lib/download-utils.ts

@@ -0,0 +1,97 @@
+import { invoke } from '@tauri-apps/api/core';
+
+/**
+ * URLs oficiais dos instaladores Ollama
+ */
+export const OLLAMA_DOWNLOAD_URLS = {
+  windows: 'https://ollama.com/download/OllamaSetup.exe',
+  mac: 'https://ollama.com/download/Ollama-darwin.zip',
+  linux: 'https://ollama.com/install.sh',
+} as const;
+
+/**
+ * Nomes dos arquivos de fallback locais
+ */
+export const LOCAL_INSTALLER_FILES = {
+  windows: 'OllamaSetup.exe',
+  mac: 'Ollama-darwin.zip',
+  linux: 'install.sh',
+} as const;
+
+export type OS = 'windows' | 'mac' | 'linux';
+
+/**
+ * Verifica se a URL oficial está disponível
+ */
+export async function checkOfficialUrlAvailable(os: OS): Promise<boolean> {
+  try {
+    const url = OLLAMA_DOWNLOAD_URLS[os];
+    return await invoke<boolean>('check_download_url', { url });
+  } catch (error) {
+    console.error('Erro ao verificar URL oficial:', error);
+    return false;
+  }
+}
+
+/**
+ * Verifica se o instalador local existe
+ */
+export async function checkLocalInstallerExists(os: OS): Promise<boolean> {
+  try {
+    const filename = LOCAL_INSTALLER_FILES[os];
+    const path = await invoke<string | null>('get_local_installer_path', { 
+      filename 
+    });
+    return path !== null;
+  } catch (error) {
+    console.error('Erro ao verificar instalador local:', error);
+    return false;
+  }
+}
+
+/**
+ * Faz download do instalador (oficial ou fallback)
+ * Retorna o caminho do arquivo baixado
+ */
+export async function downloadInstaller(os: OS): Promise<string> {
+  const url = OLLAMA_DOWNLOAD_URLS[os];
+  const filename = LOCAL_INSTALLER_FILES[os];
+  
+  try {
+    const filePath = await invoke<string>('download_installer', { 
+      url,
+      filename
+    });
+    return filePath;
+  } catch (error) {
+    throw new Error(`Falha ao baixar instalador: ${error}`);
+  }
+}
+
+/**
+ * Verifica se o instalador já foi baixado
+ */
+export async function getDownloadedInstallerPath(os: OS): Promise<string | null> {
+  const filename = LOCAL_INSTALLER_FILES[os];
+  try {
+    const path = await invoke<string | null>('get_downloaded_installer_path', { 
+      filename 
+    });
+    return path;
+  } catch (error) {
+    console.error('Erro ao verificar instalador baixado:', error);
+    return null;
+  }
+}
+
+/**
+ * Executa o instalador baixado
+ */
+export async function runInstaller(filePath: string): Promise<void> {
+  try {
+    await invoke('run_installer', { filePath });
+  } catch (error) {
+    throw new Error(`Falha ao executar instalador: ${error}`);
+  }
+}
+

lib/knowledge-base-processor.ts

@@ -0,0 +1,264 @@
+import type { ResearchEntry } from '@/hooks/use-deep-research';
+import type { QueryContext } from './contextual-analyzer';
+import { processContent, type Chunk, type ProcessedContent } from './content-condenser';
+import { scoreAndSelectChunks } from './relevance-scorer';
+import { summarizeMarkdown } from './content-condenser';
+
+export interface CondensationResult {
+  context: string;
+  totalTokens: number;
+  originalTokens: number;
+  compressionRatio: number;
+  chunksUsed: number;
+  chunksTotal: number;
+  method: 'chunks' | 'summarized' | 'fallback';
+  sources: Array<{ title: string; url: string; chunksUsed: number }>;
+}
+
+export interface CondensationOptions {
+  maxTokens?: number;
+  minRelevanceScore?: number;
+  autoSummarize?: boolean;
+  summarizeThreshold?: number;
+  fallbackToSummarization?: boolean;
+  context?: QueryContext; // Contexto analisado para ranqueamento semântico
+}
+
+const DEFAULT_OPTIONS: Required<CondensationOptions> = {
+  maxTokens: 12000,
+  minRelevanceScore: 0.1,
+  autoSummarize: true,
+  summarizeThreshold: 5000,
+  fallbackToSummarization: true,
+};
+
+/**
+ * Estima tokens de um texto (aproximação: 1 token ≈ 4 caracteres)
+ */
+function estimateTokens(text: string): number {
+  return Math.ceil(text.length / 4);
+}
+
+/**
+ * Sumariza todas as entradas e combina em um único contexto
+ * 
+ * @param entries - Entradas da Knowledge Base
+ * @param query - Query do usuário
+ * @param maxSummaryLength - Comprimento máximo de cada sumário
+ * @returns Contexto sumarizado
+ */
+function fallbackSummarization(
+  entries: ResearchEntry[],
+  query: string,
+  maxSummaryLength: number = 1500
+): string {
+  const summaries: string[] = [];
+
+  entries.forEach((entry, idx) => {
+    const summary = summarizeMarkdown(entry.content, maxSummaryLength);
+    summaries.push(
+      `[ID: ${idx + 1}] **${entry.title}**\nURL: ${entry.sourceUrl}\n\n${summary}\n\n---\n\n`
+    );
+  });
+
+  const combined = summaries.join('');
+  return `## KNOWLEDGE BASE (Resumo Condensado)\n\n${combined}`;
+}
+
+/**
+ * Condensa Knowledge Base usando chunking inteligente e scoring
+ * 
+ * @param entries - Entradas da Knowledge Base
+ * @param query - Query do usuário
+ * @param options - Opções de condensação
+ * @returns Resultado da condensação
+ */
+export function condenseKnowledgeBase(
+  entries: ResearchEntry[],
+  query: string,
+  options: CondensationOptions = {}
+): CondensationResult {
+  const opts = { ...DEFAULT_OPTIONS, ...options };
+
+  if (entries.length === 0) {
+    return {
+      context: '',
+      totalTokens: 0,
+      originalTokens: 0,
+      compressionRatio: 0,
+      chunksUsed: 0,
+      chunksTotal: 0,
+      method: 'fallback',
+      sources: [],
+    };
+  }
+
+  // Calcular tokens originais
+  const originalContent = entries.map(e => e.content).join('\n\n');
+  const originalTokens = estimateTokens(originalContent);
+
+  // Processar cada entrada
+  const allChunks: Chunk[] = [];
+  const processedEntries: Array<{
+    entry: ResearchEntry;
+    processed: ProcessedContent;
+    chunks: Chunk[];
+  }> = [];
+
+  entries.forEach((entry, entryIndex) => {
+    const processed = processContent(entry.content, query, {
+      summarizeThreshold: opts.summarizeThreshold,
+      autoSummarize: opts.autoSummarize,
+    });
+
+    // Atribuir sourceIndex e metadados aos chunks
+    const chunksWithSource = processed.chunks.map((chunk, chunkIdx) => ({
+      ...chunk,
+      sourceIndex: entryIndex,
+      sourceUrl: entry.sourceUrl,
+      sourceTitle: entry.title,
+    }));
+
+    processedEntries.push({
+      entry,
+      processed,
+      chunks: chunksWithSource,
+    });
+
+    allChunks.push(...chunksWithSource);
+  });
+
+  // Calcular tokens disponíveis (reservar 20% para margem)
+  const availableTokens = Math.floor(opts.maxTokens * 0.8);
+
+  // Selecionar chunks mais relevantes (usando contexto se disponível)
+  let selectedChunks = scoreAndSelectChunks(
+    allChunks,
+    query,
+    availableTokens,
+    opts.minRelevanceScore,
+    opts.context
+  );
+
+  // Se não selecionou chunks suficientes ou método de fallback está ativo
+  let method: 'chunks' | 'summarized' | 'fallback' = 'chunks';
+  let context = '';
+
+  if (selectedChunks.length === 0 && opts.fallbackToSummarization) {
+    // Fallback: sumarizar tudo
+    method = 'fallback';
+    context = fallbackSummarization(entries, query);
+  } else {
+    // Construir contexto a partir dos chunks selecionados
+    const chunksBySource = new Map<number, Chunk[]>();
+    
+    selectedChunks.forEach(chunk => {
+      if (!chunksBySource.has(chunk.sourceIndex)) {
+        chunksBySource.set(chunk.sourceIndex, []);
+      }
+      chunksBySource.get(chunk.sourceIndex)!.push(chunk);
+    });
+
+    // Agrupar chunks por fonte
+    const sourceBlocks: string[] = [];
+    const sourceStats: Array<{ title: string; url: string; chunksUsed: number }> = [];
+
+    chunksBySource.forEach((chunks, sourceIndex) => {
+      const entry = entries[sourceIndex];
+      if (!entry) return;
+
+      const sourceChunks = chunks
+        .sort((a, b) => a.startIndex - b.startIndex)
+        .map(c => c.content)
+        .join('\n\n');
+
+      sourceBlocks.push(
+        `[ID: ${sourceIndex + 1}] **${entry.title}**\nURL: ${entry.sourceUrl}\n\n${sourceChunks}\n\n---\n\n`
+      );
+
+      sourceStats.push({
+        title: entry.title,
+        url: entry.sourceUrl,
+        chunksUsed: chunks.length,
+      });
+    });
+
+    context = `## KNOWLEDGE BASE (Verified Sources)\n\n${sourceBlocks.join('')}`;
+
+    // Verificar se contexto excede limite
+    const contextTokens = estimateTokens(context);
+    if (contextTokens > opts.maxTokens && opts.fallbackToSummarization) {
+      // Se ainda exceder, usar sumarização
+      method = 'summarized';
+      context = fallbackSummarization(entries, query);
+    }
+  }
+
+  const totalTokens = estimateTokens(context);
+  const compressionRatio = originalTokens > 0 ? totalTokens / originalTokens : 0;
+
+  return {
+    context: context.trim(),
+    totalTokens,
+    originalTokens,
+    compressionRatio,
+    chunksUsed: selectedChunks.length,
+    chunksTotal: allChunks.length,
+    method,
+    sources: entries.map((entry, idx) => ({
+      title: entry.title,
+      url: entry.sourceUrl,
+      chunksUsed: selectedChunks.filter(c => c.sourceIndex === idx).length,
+    })),
+  };
+}
+
+/**
+ * Valida se o contexto condensado contém informações relevantes
+ * 
+ * @param result - Resultado da condensação
+ * @param query - Query do usuário
+ * @returns true se válido
+ */
+export function validateCondensedContext(
+  result: CondensationResult,
+  query: string
+): { isValid: boolean; warnings: string[] } {
+  const warnings: string[] = [];
+
+  if (!result.context || result.context.length < 100) {
+    return {
+      isValid: false,
+      warnings: ['Contexto condensado está vazio ou muito curto'],
+    };
+  }
+
+  if (result.chunksUsed === 0 && result.method !== 'fallback') {
+    warnings.push('Nenhum chunk relevante foi selecionado');
+  }
+
+  if (result.compressionRatio > 0.5) {
+    warnings.push(`Alta taxa de compressão (${(result.compressionRatio * 100).toFixed(1)}%) - informações podem ter sido perdidas`);
+  }
+
+  if (result.chunksUsed < result.chunksTotal * 0.3) {
+    warnings.push(`Apenas ${result.chunksUsed} de ${result.chunksTotal} chunks foram selecionados`);
+  }
+
+  // Verificar se query aparece no contexto (básico)
+  const normalizedQuery = query.toLowerCase();
+  const normalizedContext = result.context.toLowerCase();
+  const queryWords = normalizedQuery.split(/\s+/).filter(w => w.length > 3);
+  const matchingWords = queryWords.filter(word => normalizedContext.includes(word));
+  
+  if (matchingWords.length < queryWords.length * 0.5) {
+    warnings.push('Poucas palavras-chave da query aparecem no contexto');
+  }
+
+  return {
+    isValid: result.context.length >= 100,
+    warnings,
+  };
+}
+
+

lib/metadata.ts

@@ -0,0 +1,23 @@
+const METADATA_BLOCK_REGEX = /<metadata>[\s\S]*?<\/metadata>/gi;
+const METADATA_TAIL_REGEX = /(metadados?|metadata|hidden metadata block|bloco oculto de metadados|json metadata)\s*:?\s*/gi;
+
+export function removeMetadataNoise(text: string): string {
+  if (!text) {
+    return '';
+  }
+
+  let cleaned = text.replace(METADATA_BLOCK_REGEX, '').trim();
+
+  // Remove any trailing sections that start with common metadata prefixes
+  cleaned = cleaned.replace(
+    /(metadados?|metadata|hidden metadata block|bloco oculto de metadados|json metadata)\s*:?\s*[\s\S]*$/gi,
+    '',
+  );
+
+  // Remove standalone prefixes that might appear inline
+  cleaned = cleaned.replace(METADATA_TAIL_REGEX, '');
+
+  return cleaned.trim();
+}
+
+

lib/model-context.ts

@@ -0,0 +1,133 @@
+import type { Message } from '@/hooks/use-chat';
+import { useSettingsStore } from '@/store/settings-store';
+
+export interface ModelContextInfo {
+  modelName: string;
+  maxContextWindow: number;
+  recommendedContextWindow: number;
+}
+
+/**
+ * Estima tokens de um texto (aproximação: 1 token ≈ 4 caracteres)
+ */
+function estimateTokens(text: string): number {
+  return Math.ceil(text.length / 4);
+}
+
+/**
+ * Detecta o context window máximo do modelo consultando Ollama API
+ * 
+ * @param modelName - Nome do modelo
+ * @returns Limite máximo de tokens do modelo
+ */
+export async function detectModelContextWindow(modelName: string): Promise<number> {
+  if (!modelName) {
+    // Fallback para settings
+    const settings = useSettingsStore.getState();
+    return settings.contextWindow || 4096;
+  }
+
+  try {
+    // Tentar obter informações do modelo via Ollama API
+    const response = await fetch('http://localhost:11434/api/show', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({
+        name: modelName,
+      }),
+    });
+
+    if (response.ok) {
+      const data = await response.json();
+      
+      // Ollama retorna 'context_length' ou 'parameter_size' que pode indicar contexto
+      // Mapear tamanhos conhecidos de modelos
+      const modelInfo = data.modelfile || '';
+      const contextMatch = modelInfo.match(/context[_\s]*length[:\s]*(\d+)/i);
+      
+      if (contextMatch) {
+        return parseInt(contextMatch[1], 10);
+      }
+
+      // Tentar inferir do tamanho do modelo
+      const size = data.size || '';
+      if (size.includes('7b') || size.includes('8b')) {
+        return 8192; // Modelos 7B-8B geralmente têm 8k
+      }
+      if (size.includes('13b') || size.includes('14b')) {
+        return 16384; // Modelos 13B-14B geralmente têm 16k
+      }
+      if (size.includes('32k') || size.includes('128k')) {
+        return 32768; // Modelos com contexto estendido
+      }
+    }
+  } catch (error) {
+    console.warn('Erro ao detectar context window do modelo:', error);
+  }
+
+  // Fallback: usar contextWindow das settings
+  const settings = useSettingsStore.getState();
+  return settings.contextWindow || 4096;
+}
+
+/**
+ * Calcula tokens disponíveis para Knowledge Base
+ * 
+ * @param systemPrompt - System prompt
+ * @param messages - Mensagens do histórico
+ * @param modelMaxTokens - Limite máximo de tokens do modelo
+ * @returns Tokens disponíveis para Knowledge Base
+ */
+export function calculateAvailableTokens(
+  systemPrompt: string,
+  messages: Message[],
+  modelMaxTokens: number
+): number {
+  // Calcular tokens usados
+  let usedTokens = 0;
+
+  // System prompt
+  if (systemPrompt) {
+    usedTokens += estimateTokens(systemPrompt);
+  }
+
+  // Mensagens do histórico
+  messages.forEach(msg => {
+    usedTokens += estimateTokens(msg.content);
+  });
+
+  // Reservar 10% para margem de segurança e resposta da IA
+  const reservedTokens = Math.ceil(modelMaxTokens * 0.1);
+  const availableTokens = modelMaxTokens - usedTokens - reservedTokens;
+
+  // Garantir mínimo de 1000 tokens disponíveis
+  return Math.max(availableTokens, 1000);
+}
+
+/**
+ * Obtém informações completas do contexto do modelo
+ * 
+ * @param modelName - Nome do modelo
+ * @param systemPrompt - System prompt atual
+ * @param messages - Mensagens do histórico
+ * @returns Informações do contexto
+ */
+export async function getModelContextInfo(
+  modelName: string,
+  systemPrompt: string = '',
+  messages: Message[] = []
+): Promise<ModelContextInfo> {
+  const maxContextWindow = await detectModelContextWindow(modelName);
+  const availableTokens = calculateAvailableTokens(systemPrompt, messages, maxContextWindow);
+  
+  // Recommended é 80% do disponível para garantir margem
+  const recommendedContextWindow = Math.floor(availableTokens * 0.8);
+
+  return {
+    modelName,
+    maxContextWindow,
+    recommendedContextWindow,
+  };
+}
+
+

lib/query-enricher.ts

@@ -0,0 +1,294 @@
+import type { QueryContext } from './contextual-analyzer';
+import { chatLog } from './terminal-logger';
+
+/**
+ * Queries enriquecidas por categoria
+ */
+export interface EnrichedQueries {
+  literal: string[];      // Queries literais (original + variações diretas)
+  semantic: string[];     // Variantes semânticas (sinônimos, reformulações)
+  related: string[];       // Perguntas relacionadas
+  expanded: string[];     // Expansões temáticas (autores, eventos, tipos)
+  contextual: string[];   // Queries com contexto adicional (datas, locais)
+}
+
+/**
+ * Prompt para enriquecimento de queries usando LLM
+ */
+const QUERY_ENRICHMENT_PROMPT = `Você é um especialista em otimização de queries de busca e expansão semântica.
+
+Com base na query original e no contexto analisado, gere múltiplas variantes de queries enriquecidas para maximizar a cobertura de resultados relevantes.
+
+## QUERY ORIGINAL
+"{{originalQuery}}"
+
+## CONTEXTO ANALISADO
+- Intenção: {{intent}}
+- Tópicos: {{topics}}
+- Entidades: {{entities}}
+- Contexto Temporal: {{temporalContext}}
+- Contexto Geográfico: {{geographicContext}}
+- Palavras-chave: {{keywords}}
+- Sinônimos: {{synonyms}}
+- Domínio: {{domain}}
+
+## INSTRUÇÕES
+
+Gere queries enriquecidas nas seguintes categorias:
+
+1. **LITERAL**: Variações diretas da query original (preservar termos principais)
+   - Ex: "resultados acadêmicos premiados" → ["resultados academicos premiados", "ultimos resultados academicos premiados"]
+
+2. **SEMANTIC**: Variantes semânticas usando sinônimos e reformulações
+   - Ex: "resultados acadêmicos" → "pesquisas científicas", "estudos acadêmicos", "trabalhos científicos"
+   - Manter o significado, mas usar termos alternativos
+
+3. **RELATED**: Perguntas relacionadas e FAQs
+   - Ex: "premios academicos 2024", "conferencias academicas premiadas", "descobertas cientificas premiadas"
+   - Explorar aspectos adjacentes do tópico
+
+4. **EXPANDED**: Expansões temáticas específicas
+   - Ex: "Nobel Prize 2024", "Turing Award winners", "Fields Medal recentes"
+   - Incluir tipos específicos, categorias, exemplos concretos
+
+5. **CONTEXTUAL**: Queries com contexto adicional (datas, locais, domínios)
+   - Ex: "resultados academicos brasileiros premiados 2024", "pesquisas premiadas universidades"
+   - Combinar tópico principal com contexto temporal/geográfico
+
+## REGRAS CRÍTICAS
+
+- **PRESERVAR ENTIDADES**: Se a query menciona "Garuva", TODAS as queries devem mencionar "Garuva"
+- **NÃO TRADUZIR**: Preservar nomes próprios, termos técnicos na forma original
+- **OTIMIZAR PARA BUSCA**: Usar termos que aparecem em resultados reais
+- **COBERTURA AMPLA**: Cada categoria deve explorar diferentes ângulos
+- **QUALIDADE > QUANTIDADE**: 3-5 queries por categoria é suficiente
+- **RELEVÂNCIA**: Todas as queries devem ser relevantes para responder a query original
+
+## FORMATO DE SAÍDA
+
+Retorne APENAS um JSON válido no seguinte formato:
+
+{
+  "literal": ["query literal 1", "query literal 2"],
+  "semantic": ["variante semantica 1", "variante semantica 2"],
+  "related": ["pergunta relacionada 1", "pergunta relacionada 2"],
+  "expanded": ["expansao tematica 1", "expansao tematica 2"],
+  "contextual": ["query contextual 1", "query contextual 2"]
+}
+
+IMPORTANTE:
+- Retorne APENAS o JSON, sem markdown, sem explicações
+- Cada array deve ter 3-5 queries
+- Queries devem ser em português se a query original for em português
+- Preservar termos técnicos e nomes próprios`;
+
+/**
+ * Enriquece queries baseado no contexto analisado
+ * 
+ * @param originalQuery - Query original do usuário
+ * @param context - Contexto analisado da query
+ * @param model - Modelo LLM a ser usado
+ * @returns Queries enriquecidas por categoria
+ */
+export async function enrichQueries(
+  originalQuery: string,
+  context: QueryContext,
+  model: string
+): Promise<EnrichedQueries> {
+  chatLog.info(`[QueryEnricher] Enriquecendo queries para: "${originalQuery}"`);
+
+  try {
+    // Preparar contexto para o prompt
+    const entitiesStr = context.entities.map(e => `${e.type}: ${e.value}`).join(', ') || 'nenhuma';
+    const temporalStr = context.temporalContext 
+      ? JSON.stringify(context.temporalContext)
+      : 'nenhum';
+    const geographicStr = context.geographicContext
+      ? JSON.stringify(context.geographicContext)
+      : 'nenhum';
+
+    const prompt = QUERY_ENRICHMENT_PROMPT
+      .replace('{{originalQuery}}', originalQuery)
+      .replace('{{intent}}', context.intent)
+      .replace('{{topics}}', context.topics.join(', ') || 'nenhum')
+      .replace('{{entities}}', entitiesStr)
+      .replace('{{temporalContext}}', temporalStr)
+      .replace('{{geographicContext}}', geographicStr)
+      .replace('{{keywords}}', context.keywords.join(', ') || 'nenhuma')
+      .replace('{{synonyms}}', context.synonyms.join(', ') || 'nenhum')
+      .replace('{{domain}}', context.domain || 'geral');
+
+    const response = await fetch('http://localhost:11434/api/generate', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({
+        model,
+        prompt,
+        stream: false,
+        options: {
+          temperature: 0.5, // Temperatura média para criatividade controlada
+          num_predict: 1000, // Espaço suficiente para múltiplas queries
+        },
+      }),
+    });
+
+    if (!response.ok) {
+      throw new Error(`HTTP ${response.status}: ${response.statusText}`);
+    }
+
+    const data = await response.json();
+    const rawResponse = (data.response || '').trim();
+
+    // Limpar resposta (remover markdown code blocks se houver)
+    let jsonText = rawResponse
+      .replace(/^```json\s*/i, '')
+      .replace(/^```\s*/i, '')
+      .replace(/```\s*$/i, '')
+      .trim();
+
+    // Tentar extrair JSON se houver texto antes/depois
+    const jsonMatch = jsonText.match(/\{[\s\S]*\}/);
+    if (jsonMatch) {
+      jsonText = jsonMatch[0];
+    }
+
+    const enriched = JSON.parse(jsonText) as Partial<EnrichedQueries>;
+
+    // Validar e preencher campos
+    const result: EnrichedQueries = {
+      literal: enriched.literal || [originalQuery],
+      semantic: enriched.semantic || [],
+      related: enriched.related || [],
+      expanded: enriched.expanded || [],
+      contextual: enriched.contextual || [],
+    };
+
+    // Garantir que sempre há pelo menos a query original
+    if (result.literal.length === 0) {
+      result.literal = [originalQuery];
+    }
+
+    // Log estatísticas
+    const totalQueries = 
+      result.literal.length +
+      result.semantic.length +
+      result.related.length +
+      result.expanded.length +
+      result.contextual.length;
+
+    chatLog.success(
+      `[QueryEnricher] ${totalQueries} queries geradas: ` +
+      `${result.literal.length} literal, ${result.semantic.length} semântica, ` +
+      `${result.related.length} relacionadas, ${result.expanded.length} expandidas, ` +
+      `${result.contextual.length} contextuais`
+    );
+
+    return result;
+  } catch (error) {
+    chatLog.error(`[QueryEnricher] Erro ao enriquecer queries:`, error);
+
+    // Fallback: usar apenas query original
+    return createFallbackEnrichment(originalQuery, context);
+  }
+}
+
+/**
+ * Cria enriquecimento básico usando heurísticas quando a análise LLM falha
+ */
+function createFallbackEnrichment(
+  originalQuery: string,
+  context: QueryContext
+): EnrichedQueries {
+  const literal = [originalQuery];
+
+  // Adicionar variações básicas usando sinônimos do contexto
+  const semantic: string[] = [];
+  if (context.synonyms.length > 0) {
+    // Substituir algumas palavras por sinônimos
+    let semanticQuery = originalQuery;
+    context.synonyms.slice(0, 2).forEach(synonym => {
+      // Tentar substituir palavra-chave por sinônimo
+      const keywords = context.keywords;
+      if (keywords.length > 0) {
+        const keyword = keywords[0];
+        semanticQuery = semanticQuery.replace(
+          new RegExp(keyword, 'gi'),
+          synonym
+        );
+        if (semanticQuery !== originalQuery) {
+          semantic.push(semanticQuery);
+        }
+      }
+    });
+  }
+
+  // Adicionar contexto temporal se disponível
+  const contextual: string[] = [];
+  if (context.temporalContext?.period) {
+    contextual.push(`${originalQuery} ${context.temporalContext.period}`);
+  }
+  if (context.temporalContext?.relative === 'recente') {
+    contextual.push(`${originalQuery} recente`);
+  }
+
+  // Adicionar contexto geográfico se disponível
+  if (context.geographicContext?.location) {
+    contextual.push(`${originalQuery} ${context.geographicContext.location}`);
+  }
+
+  return {
+    literal,
+    semantic: semantic.length > 0 ? semantic : [],
+    related: [],
+    expanded: [],
+    contextual,
+  };
+}
+
+/**
+ * Combina todas as queries enriquecidas em uma lista única para busca
+ * 
+ * @param enriched - Queries enriquecidas
+ * @param strategy - Estratégia de combinação
+ * @returns Lista de queries para buscar
+ */
+export function combineEnrichedQueries(
+  enriched: EnrichedQueries,
+  strategy: 'all' | 'prioritize-literal' | 'prioritize-semantic' = 'prioritize-literal'
+): string[] {
+  const queries: string[] = [];
+
+  switch (strategy) {
+    case 'all':
+      queries.push(...enriched.literal);
+      queries.push(...enriched.semantic);
+      queries.push(...enriched.related);
+      queries.push(...enriched.expanded);
+      queries.push(...enriched.contextual);
+      break;
+
+    case 'prioritize-literal':
+      queries.push(...enriched.literal);
+      queries.push(...enriched.semantic);
+      queries.push(...enriched.contextual);
+      queries.push(...enriched.related);
+      queries.push(...enriched.expanded);
+      break;
+
+    case 'prioritize-semantic':
+      queries.push(...enriched.semantic);
+      queries.push(...enriched.literal);
+      queries.push(...enriched.contextual);
+      queries.push(...enriched.related);
+      queries.push(...enriched.expanded);
+      break;
+  }
+
+  // Remover duplicatas mantendo ordem
+  const unique = Array.from(new Set(queries.map(q => q.toLowerCase())))
+    .map(lower => queries.find(q => q.toLowerCase() === lower)!)
+    .filter(Boolean);
+
+  return unique;
+}
+

lib/query-validation.ts

@@ -0,0 +1,177 @@
+import emojiRegex from 'emoji-regex';
+import { normalizeText } from './text-normalization';
+
+export interface ValidationOptions {
+  minLength?: number;
+  maxLength?: number;
+  irrelevantPatterns?: string[];
+  allowEmojis?: boolean;
+}
+
+export interface ValidationResult {
+  isValid: boolean;
+  errors: string[];
+  warnings: string[];
+  normalizedLength: number;
+}
+
+const DEFAULT_OPTIONS: Required<ValidationOptions> = {
+  minLength: 3,
+  maxLength: 2000,
+  irrelevantPatterns: [
+    'oi',
+    'olá',
+    'ola',
+    'teste',
+    'test',
+    'hello',
+    'hi',
+    'hey',
+    'ok',
+    'okay',
+    'sim',
+    'não',
+    'nao',
+    'yes',
+    'no',
+  ],
+  allowEmojis: false,
+};
+
+/**
+ * Valida uma query do usuário
+ * 
+ * @param text - Texto a ser validado
+ * @param options - Opções de validação
+ * @returns Resultado da validação
+ */
+export function validateQuery(
+  text: string,
+  options: ValidationOptions = {}
+): ValidationResult {
+  const opts = { ...DEFAULT_OPTIONS, ...options };
+  const errors: string[] = [];
+  const warnings: string[] = [];
+  let normalizedLength = 0;
+
+  // Verificar se o texto existe e é string
+  if (!text || typeof text !== 'string') {
+    return {
+      isValid: false,
+      errors: ['Texto vazio ou inválido'],
+      warnings: [],
+      normalizedLength: 0,
+    };
+  }
+
+  // Normalizar texto para validação
+  const normalized = normalizeText(text);
+  normalizedLength = normalized.length;
+
+  // Verificar comprimento mínimo
+  if (normalizedLength < opts.minLength) {
+    errors.push(
+      `Texto muito curto. Mínimo de ${opts.minLength} caracteres necessário.`
+    );
+  }
+
+  // Verificar comprimento máximo
+  if (normalizedLength > opts.maxLength) {
+    errors.push(
+      `Texto muito longo. Máximo de ${opts.maxLength} caracteres permitido.`
+    );
+  }
+
+  // Verificar se é apenas espaços em branco após normalização
+  if (normalized.trim().length === 0) {
+    errors.push('Texto contém apenas espaços em branco ou caracteres especiais.');
+  }
+
+  // Verificar se contém apenas emojis
+  if (!opts.allowEmojis) {
+    const emojiPattern = emojiRegex();
+    const textWithoutEmojis = text.replace(emojiPattern, '').trim();
+    if (textWithoutEmojis.length === 0 && text.trim().length > 0) {
+      errors.push('Texto contém apenas emojis.');
+    }
+  }
+
+  // Verificar se contém apenas pontuação
+  const textWithoutPunctuation = normalized.replace(/[.,?!:;]/g, '').trim();
+  if (textWithoutPunctuation.length === 0 && normalized.length > 0) {
+    errors.push('Texto contém apenas pontuação.');
+  }
+
+  // Verificar padrões irrelevantes
+  if (isIrrelevantQuery(normalized, opts.irrelevantPatterns)) {
+    warnings.push(
+      'Pergunta pode ser irrelevante ou muito simples. Considere ser mais específico.'
+    );
+  }
+
+  return {
+    isValid: errors.length === 0,
+    errors,
+    warnings,
+    normalizedLength,
+  };
+}
+
+/**
+ * Verifica se uma query é irrelevante baseado em padrões
+ * 
+ * @param text - Texto normalizado a ser verificado
+ * @param patterns - Lista de padrões irrelevantes
+ * @returns true se a query for irrelevante
+ */
+export function isIrrelevantQuery(
+  text: string,
+  patterns: string[] = DEFAULT_OPTIONS.irrelevantPatterns
+): boolean {
+  if (!text || typeof text !== 'string') {
+    return true;
+  }
+
+  const normalized = normalizeText(text);
+  const normalizedPatterns = patterns.map((p) => normalizeText(p));
+
+  // Verificar se o texto normalizado está exatamente na lista de padrões
+  if (normalizedPatterns.includes(normalized)) {
+    return true;
+  }
+
+  // Verificar se o texto começa com um padrão irrelevante seguido apenas de pontuação/espaços
+  for (const pattern of normalizedPatterns) {
+    const regex = new RegExp(`^${pattern.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}[\\s.,?!]*$`, 'i');
+    if (regex.test(normalized)) {
+      return true;
+    }
+  }
+
+  return false;
+}
+
+/**
+ * Validação rápida (apenas comprimento)
+ * Útil para validação em tempo real no input
+ * 
+ * @param text - Texto a ser validado
+ * @param minLength - Comprimento mínimo
+ * @param maxLength - Comprimento máximo
+ * @returns true se válido
+ */
+export function quickValidate(
+  text: string,
+  minLength: number = DEFAULT_OPTIONS.minLength,
+  maxLength: number = DEFAULT_OPTIONS.maxLength
+): boolean {
+  if (!text || typeof text !== 'string') {
+    return false;
+  }
+
+  const normalized = normalizeText(text);
+  return (
+    normalized.length >= minLength && normalized.length <= maxLength
+  );
+}
+

lib/question-splitter.ts

@@ -0,0 +1,217 @@
+import { normalizeText } from './text-normalization';
+
+export interface SplitResult {
+  questions: string[];
+  originalText: string;
+  splitCount: number;
+}
+
+// Palavras interrogativas em português e inglês
+const INTERROGATIVE_WORDS = [
+  'o que',
+  'que',
+  'qual',
+  'quais',
+  'quem',
+  'onde',
+  'quando',
+  'como',
+  'por que',
+  'porque',
+  'por quê',
+  'porquê',
+  'quantos',
+  'quantas',
+  'what',
+  'which',
+  'who',
+  'where',
+  'when',
+  'how',
+  'why',
+  'how many',
+  'how much',
+];
+
+// Conectores que podem separar perguntas
+const QUESTION_SEPARATORS = [
+  /\s+e\s+/gi,  // " e "
+  /\s+ou\s+/gi, // " ou "
+  /[.!?]\s+/g,  // ". ", "! ", "? "
+];
+
+/**
+ * Verifica se um texto é uma pergunta
+ * 
+ * @param text - Texto a ser verificado
+ * @returns true se for uma pergunta
+ */
+export function isQuestion(text: string): boolean {
+  if (!text || typeof text !== 'string') {
+    return false;
+  }
+
+  const trimmed = text.trim();
+  if (trimmed.length === 0) {
+    return false;
+  }
+
+  // Verifica se termina com ponto de interrogação
+  if (trimmed.endsWith('?')) {
+    return true;
+  }
+
+  // Verifica se começa com palavra interrogativa
+  const normalized = normalizeText(trimmed);
+  for (const word of INTERROGATIVE_WORDS) {
+    const normalizedWord = normalizeText(word);
+    if (normalized.startsWith(normalizedWord + ' ')) {
+      return true;
+    }
+  }
+
+  // Verifica padrões de pergunta
+  const questionPatterns = [
+    /^(o que|que|qual|quais|quem|onde|quando|como|por que|porque|quantos|quantas)/i,
+    /^(what|which|who|where|when|how|why|how many|how much)/i,
+    /\?$/,
+  ];
+
+  for (const pattern of questionPatterns) {
+    if (pattern.test(trimmed)) {
+      return true;
+    }
+  }
+
+  return false;
+}
+
+/**
+ * Calcula similaridade básica entre duas strings (Jaccard similarity simplificada)
+ * 
+ * @param str1 - Primeira string
+ * @param str2 - Segunda string
+ * @returns Similaridade entre 0 e 1
+ */
+function calculateSimilarity(str1: string, str2: string): number {
+  const words1 = new Set(normalizeText(str1).split(/\s+/).filter((w) => w.length > 2));
+  const words2 = new Set(normalizeText(str2).split(/\s+/).filter((w) => w.length > 2));
+
+  if (words1.size === 0 && words2.size === 0) {
+    return 1;
+  }
+  if (words1.size === 0 || words2.size === 0) {
+    return 0;
+  }
+
+  const intersection = new Set([...words1].filter((w) => words2.has(w)));
+  const union = new Set([...words1, ...words2]);
+
+  return intersection.size / union.size;
+}
+
+/**
+ * Remove perguntas duplicadas ou muito similares
+ * 
+ * @param questions - Array de perguntas
+ * @param similarityThreshold - Limiar de similaridade (0-1)
+ * @returns Array de perguntas únicas
+ */
+function removeDuplicates(
+  questions: string[],
+  similarityThreshold: number = 0.7
+): string[] {
+  const unique: string[] = [];
+
+  for (const question of questions) {
+    let isDuplicate = false;
+
+    for (const existing of unique) {
+      const similarity = calculateSimilarity(question, existing);
+      if (similarity >= similarityThreshold) {
+        isDuplicate = true;
+        // Manter a versão mais longa (geralmente mais completa)
+        if (question.length > existing.length) {
+          const index = unique.indexOf(existing);
+          unique[index] = question;
+        }
+        break;
+      }
+    }
+
+    if (!isDuplicate) {
+      unique.push(question);
+    }
+  }
+
+  return unique;
+}
+
+/**
+ * Divide um texto em múltiplas perguntas
+ * 
+ * @param text - Texto a ser dividido
+ * @returns Resultado com array de perguntas
+ */
+export function splitQuestions(text: string): SplitResult {
+  if (!text || typeof text !== 'string') {
+    return {
+      questions: [],
+      originalText: text || '',
+      splitCount: 0,
+    };
+  }
+
+  const originalText = text.trim();
+  if (originalText.length === 0) {
+    return {
+      questions: [],
+      originalText: '',
+      splitCount: 0,
+    };
+  }
+
+  // Tentar dividir por separadores de sentenças primeiro
+  let parts: string[] = [originalText];
+
+  // Dividir por pontuação de fim de sentença
+  const sentenceSplit = originalText.split(/[.!?]\s+/);
+  if (sentenceSplit.length > 1) {
+    parts = sentenceSplit.map((p) => p.trim()).filter((p) => p.length > 0);
+  } else {
+    // Tentar dividir por conectores
+    for (const separator of QUESTION_SEPARATORS) {
+      const split = originalText.split(separator);
+      if (split.length > 1) {
+        parts = split.map((p) => p.trim()).filter((p) => p.length > 0);
+        break;
+      }
+    }
+  }
+
+  // Filtrar apenas partes que são perguntas
+  const questions = parts.filter((part) => {
+    // Adicionar "?" se não tiver mas for pergunta
+    const withQuestionMark = part.endsWith('?') ? part : part + '?';
+    return isQuestion(withQuestionMark);
+  });
+
+  // Se nenhuma parte foi identificada como pergunta, tratar o texto inteiro como uma pergunta
+  if (questions.length === 0) {
+    return {
+      questions: [originalText],
+      originalText,
+      splitCount: 1,
+    };
+  }
+
+  // Remover duplicatas
+  const uniqueQuestions = removeDuplicates(questions);
+
+  return {
+    questions: uniqueQuestions,
+    originalText,
+    splitCount: uniqueQuestions.length,
+  };
+}
+

lib/recommendation.ts

@@ -1,7 +1,15 @@
+export interface GpuInfo {
+  id: string;
+  name: string;
+  vendor: string | null;
+  memory_mb: number | null;
+}
+
 export interface SystemSpecs {
   total_memory: number; // Bytes
   cpu_count: number;
   os_name: string;
+  gpus: GpuInfo[];
 }
 
 export interface ModelRecommendation {

lib/relevance-scorer.ts

@@ -0,0 +1,346 @@
+import type { Chunk } from './content-condenser';
+import type { QueryContext } from './contextual-analyzer';
+import { normalizeText } from './text-normalization';
+
+/**
+ * Calcula similaridade simples entre query e chunk baseado em palavras-chave
+ * Implementação simplificada de TF-IDF
+ * 
+ * @param query - Query do usuário
+ * @param chunk - Chunk de conteúdo
+ * @returns Score de similaridade (0-1)
+ */
+export function calculateSimilarity(query: string, chunk: string): number {
+  if (!query || !chunk) {
+    return 0;
+  }
+
+  // Normalizar textos
+  const normalizedQuery = normalizeText(query);
+  const normalizedChunk = normalizeText(chunk);
+
+  // Extrair palavras-chave da query (remover stop words básicas)
+  const stopWords = new Set([
+    'o', 'a', 'os', 'as', 'um', 'uma', 'de', 'da', 'do', 'das', 'dos',
+    'em', 'no', 'na', 'nos', 'nas', 'para', 'por', 'com', 'sem',
+    'que', 'qual', 'quais', 'onde', 'quando', 'como', 'porque',
+    'the', 'a', 'an', 'and', 'or', 'but', 'in', 'on', 'at', 'to', 'for',
+    'of', 'with', 'by', 'from', 'as', 'is', 'are', 'was', 'were',
+  ]);
+
+  const queryWords = normalizedQuery
+    .split(/\s+/)
+    .filter(word => word.length > 2 && !stopWords.has(word));
+
+  if (queryWords.length === 0) {
+    return 0.1; // Score mínimo se não houver palavras-chave
+  }
+
+  // Contar ocorrências de cada palavra-chave no chunk
+  let totalMatches = 0;
+  let uniqueMatches = 0;
+  const matchedWords = new Set<string>();
+
+  for (const word of queryWords) {
+    // Buscar palavra completa (word boundary)
+    const wordRegex = new RegExp(`\\b${word.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'gi');
+    const matches = normalizedChunk.match(wordRegex);
+    
+    if (matches) {
+      totalMatches += matches.length;
+      if (!matchedWords.has(word)) {
+        matchedWords.add(word);
+        uniqueMatches++;
+      }
+    }
+  }
+
+  // Calcular score baseado em:
+  // 1. Proporção de palavras-chave encontradas (peso: 0.6)
+  // 2. Frequência de matches (peso: 0.3)
+  // 3. Normalização por tamanho do chunk (peso: 0.1)
+  const wordCoverage = uniqueMatches / queryWords.length;
+  const frequencyScore = Math.min(totalMatches / queryWords.length, 2) / 2; // Cap em 2x
+  const sizeNormalization = Math.min(1, 1000 / normalizedChunk.length); // Penalizar chunks muito longos
+
+  const score = (
+    wordCoverage * 0.6 +
+    frequencyScore * 0.3 +
+    sizeNormalization * 0.1
+  );
+
+  // Garantir que score esteja entre 0 e 1
+  return Math.min(Math.max(score, 0), 1);
+}
+
+/**
+ * Calcula similaridade semântica avançada usando contexto completo
+ * Considera entidades, tópicos, relacionamentos e intenção
+ * 
+ * @param context - Contexto analisado da query
+ * @param chunk - Chunk de conteúdo
+ * @returns Score de similaridade semântica (0-1)
+ */
+export function calculateSemanticSimilarity(
+  context: QueryContext,
+  chunk: string
+): number {
+  if (!chunk || !context) {
+    return 0;
+  }
+
+  const normalizedChunk = normalizeText(chunk).toLowerCase();
+  let totalScore = 0;
+  let weightSum = 0;
+
+  // 1. Match de keywords (peso: 0.3)
+  if (context.keywords.length > 0) {
+    let keywordMatches = 0;
+    for (const keyword of context.keywords) {
+      const keywordLower = keyword.toLowerCase();
+      if (normalizedChunk.includes(keywordLower)) {
+        keywordMatches++;
+      }
+    }
+    const keywordScore = keywordMatches / context.keywords.length;
+    totalScore += keywordScore * 0.3;
+    weightSum += 0.3;
+  }
+
+  // 2. Match de entidades (peso: 0.3)
+  if (context.entities.length > 0) {
+    let entityMatches = 0;
+    for (const entity of context.entities) {
+      const entityLower = entity.value.toLowerCase();
+      // Buscar entidade completa (case-insensitive)
+      if (normalizedChunk.includes(entityLower)) {
+        entityMatches += entity.confidence; // Ponderar por confiança
+      }
+    }
+    const entityScore = entityMatches / context.entities.length;
+    totalScore += entityScore * 0.3;
+    weightSum += 0.3;
+  }
+
+  // 3. Match de tópicos (peso: 0.2)
+  if (context.topics.length > 0) {
+    let topicMatches = 0;
+    for (const topic of context.topics) {
+      const topicLower = topic.toLowerCase();
+      // Verificar se tópico aparece no chunk (pode ser parcial)
+      const topicWords = topicLower.split(/\s+/);
+      const matches = topicWords.filter(word => 
+        word.length > 3 && normalizedChunk.includes(word)
+      );
+      if (matches.length >= topicWords.length * 0.5) { // 50% das palavras do tópico
+        topicMatches++;
+      }
+    }
+    const topicScore = context.topics.length > 0 
+      ? topicMatches / context.topics.length 
+      : 0;
+    totalScore += topicScore * 0.2;
+    weightSum += 0.2;
+  }
+
+  // 4. Match de sinônimos (peso: 0.1)
+  if (context.synonyms.length > 0) {
+    let synonymMatches = 0;
+    for (const synonym of context.synonyms) {
+      const synonymLower = synonym.toLowerCase();
+      if (normalizedChunk.includes(synonymLower)) {
+        synonymMatches++;
+      }
+    }
+    const synonymScore = context.synonyms.length > 0
+      ? Math.min(synonymMatches / context.synonyms.length, 0.5) // Cap em 0.5 para não dominar
+      : 0;
+    totalScore += synonymScore * 0.1;
+    weightSum += 0.1;
+  }
+
+  // 5. Relevância contextual (peso: 0.1)
+  // Verificar se contexto temporal/geográfico aparece no chunk
+  let contextualScore = 0;
+  if (context.temporalContext?.period) {
+    if (normalizedChunk.includes(context.temporalContext.period)) {
+      contextualScore += 0.5;
+    }
+  }
+  if (context.temporalContext?.relative) {
+    const relativeTerms = ['recente', 'atual', 'novo', 'último', 'atualizado'];
+    if (relativeTerms.some(term => normalizedChunk.includes(term))) {
+      contextualScore += 0.3;
+    }
+  }
+  if (context.geographicContext?.location) {
+    const locationLower = context.geographicContext.location.toLowerCase();
+    if (normalizedChunk.includes(locationLower)) {
+      contextualScore += 0.5;
+    }
+  }
+  totalScore += Math.min(contextualScore, 1) * 0.1;
+  weightSum += 0.1;
+
+  // Normalizar pelo peso total
+  const finalScore = weightSum > 0 ? totalScore / weightSum : 0;
+
+  // Garantir que score esteja entre 0 e 1
+  return Math.min(Math.max(finalScore, 0), 1);
+}
+
+/**
+ * Calcula similaridade combinada (keywords + semântica)
+ * 
+ * @param query - Query original
+ * @param context - Contexto analisado (opcional)
+ * @param chunk - Chunk de conteúdo
+ * @returns Score combinado (0-1)
+ */
+export function calculateCombinedSimilarity(
+  query: string,
+  chunk: string,
+  context?: QueryContext
+): number {
+  // Score baseado em keywords
+  const keywordScore = calculateSimilarity(query, chunk);
+
+  // Se temos contexto, calcular score semântico também
+  if (context) {
+    const semanticScore = calculateSemanticSimilarity(context, chunk);
+    
+    // Combinar: 60% keywords, 40% semântica
+    return keywordScore * 0.6 + semanticScore * 0.4;
+  }
+
+  return keywordScore;
+}
+
+/**
+ * Calcula scores de relevância para todos os chunks
+ * 
+ * @param chunks - Array de chunks
+ * @param query - Query do usuário
+ * @param context - Contexto analisado (opcional, para ranqueamento semântico)
+ * @returns Chunks com scores atribuídos, ordenados por relevância
+ */
+export function scoreChunks(
+  chunks: Chunk[],
+  query: string,
+  context?: QueryContext
+): Chunk[] {
+  if (!query || chunks.length === 0) {
+    return chunks;
+  }
+
+  // Calcular score para cada chunk
+  const scoredChunks = chunks.map(chunk => ({
+    ...chunk,
+    score: context
+      ? calculateCombinedSimilarity(query, chunk.content, context)
+      : calculateSimilarity(query, chunk.content),
+  }));
+
+  // Ordenar por score (maior primeiro)
+  return scoredChunks.sort((a, b) => b.score - a.score);
+}
+
+/**
+ * Seleciona os chunks mais relevantes que cabem no limite de tokens
+ * 
+ * @param chunks - Chunks com scores
+ * @param maxTokens - Limite máximo de tokens
+ * @param query - Query do usuário (para contexto)
+ * @returns Chunks selecionados
+ */
+export function selectTopChunks(
+  chunks: Chunk[],
+  maxTokens: number,
+  query: string = ''
+): Chunk[] {
+  if (chunks.length === 0) {
+    return [];
+  }
+
+  // Estimar tokens (aproximação: 1 token ≈ 4 caracteres)
+  function estimateTokens(text: string): number {
+    return Math.ceil(text.length / 4);
+  }
+
+  // Garantir que pelo menos um chunk seja selecionado
+  const selected: Chunk[] = [];
+  let totalTokens = 0;
+  const maxChars = maxTokens * 4; // Converter tokens para chars
+
+  // Selecionar chunks por ordem de relevância até atingir limite
+  for (const chunk of chunks) {
+    const chunkTokens = estimateTokens(chunk.content);
+    
+    if (totalTokens + chunkTokens <= maxTokens) {
+      selected.push(chunk);
+      totalTokens += chunkTokens;
+    } else {
+      // Se ainda não selecionou nenhum, forçar seleção do primeiro (mesmo que exceda)
+      if (selected.length === 0) {
+        selected.push(chunk);
+        break;
+      }
+      
+      // Verificar se podemos adicionar parte do chunk
+      const remainingChars = maxChars - (totalTokens * 4);
+      if (remainingChars > 200) { // Mínimo de 200 chars para valer a pena
+        // Criar chunk truncado
+        const truncatedChunk: Chunk = {
+          ...chunk,
+          content: chunk.content.substring(0, remainingChars) + '...',
+        };
+        selected.push(truncatedChunk);
+      }
+      break;
+    }
+  }
+
+  return selected;
+}
+
+/**
+ * Filtra chunks por score mínimo
+ * 
+ * @param chunks - Chunks com scores
+ * @param minScore - Score mínimo (0-1)
+ * @returns Chunks que atendem ao score mínimo
+ */
+export function filterByMinScore(chunks: Chunk[], minScore: number = 0.1): Chunk[] {
+  return chunks.filter(chunk => chunk.score >= minScore);
+}
+
+/**
+ * Combina scoring e seleção em uma única função
+ * 
+ * @param chunks - Chunks originais
+ * @param query - Query do usuário
+ * @param maxTokens - Limite máximo de tokens
+ * @param minScore - Score mínimo (opcional)
+ * @param context - Contexto analisado (opcional, para ranqueamento semântico)
+ * @returns Chunks selecionados e ordenados por relevância
+ */
+export function scoreAndSelectChunks(
+  chunks: Chunk[],
+  query: string,
+  maxTokens: number,
+  minScore?: number,
+  context?: QueryContext
+): Chunk[] {
+  // Calcular scores
+  let scoredChunks = scoreChunks(chunks, query, context);
+
+  // Filtrar por score mínimo se especificado
+  if (minScore !== undefined) {
+    scoredChunks = filterByMinScore(scoredChunks, minScore);
+  }
+
+  // Selecionar top chunks
+  return selectTopChunks(scoredChunks, maxTokens, query);
+}
+
+

lib/retry-utils.ts

@@ -0,0 +1,169 @@
+/**
+ * Utilitários para retry com backoff exponencial
+ */
+
+export interface RetryConfig {
+  maxAttempts: number; // Máximo de tentativas (padrão: 3)
+  initialDelay: number; // Delay inicial em ms (padrão: 1000)
+  maxDelay: number; // Delay máximo em ms (padrão: 10000)
+  backoffMultiplier: number; // Multiplicador do backoff (padrão: 2)
+  retryableErrors?: string[]; // Padrões de erro que devem ser retentados
+}
+
+export const DEFAULT_RETRY_CONFIG: RetryConfig = {
+  maxAttempts: 3,
+  initialDelay: 1000,
+  maxDelay: 10000,
+  backoffMultiplier: 2,
+  retryableErrors: [
+    'timeout',
+    'network',
+    'connection',
+    'ECONNRESET',
+    'ETIMEDOUT',
+    'ENOTFOUND',
+    'sending request',
+  ],
+};
+
+export interface RetryResult<T> {
+  success: boolean;
+  result?: T;
+  error?: Error;
+  attempts: number;
+  lastError?: Error;
+}
+
+/**
+ * Classifica se um erro é recuperável (deve ser retentado)
+ */
+export function isRetryableError(error: unknown, config: RetryConfig = DEFAULT_RETRY_CONFIG): boolean {
+  if (!error) return false;
+  
+  const errorMessage = error instanceof Error ? error.message : String(error);
+  const errorString = errorMessage.toLowerCase();
+  
+  // Verificar padrões de erro recuperáveis
+  if (config.retryableErrors) {
+    return config.retryableErrors.some(pattern => 
+      errorString.includes(pattern.toLowerCase())
+    );
+  }
+  
+  // Erros de rede/timeout são geralmente recuperáveis
+  return errorString.includes('timeout') || 
+         errorString.includes('network') || 
+         errorString.includes('connection');
+}
+
+/**
+ * Calcula o delay para a próxima tentativa usando backoff exponencial
+ */
+function calculateDelay(attempt: number, config: RetryConfig): number {
+  const delay = config.initialDelay * Math.pow(config.backoffMultiplier, attempt - 1);
+  return Math.min(delay, config.maxDelay);
+}
+
+/**
+ * Executa uma função com retry e backoff exponencial
+ */
+export async function retryWithBackoff<T>(
+  fn: () => Promise<T>,
+  config: Partial<RetryConfig> = {}
+): Promise<RetryResult<T>> {
+  const finalConfig: RetryConfig = { ...DEFAULT_RETRY_CONFIG, ...config };
+  let lastError: Error | undefined;
+  
+  for (let attempt = 1; attempt <= finalConfig.maxAttempts; attempt++) {
+    try {
+      const result = await fn();
+      return {
+        success: true,
+        result,
+        attempts: attempt,
+      };
+    } catch (error) {
+      lastError = error instanceof Error ? error : new Error(String(error));
+      
+      // Se não for erro recuperável, não tenta novamente
+      if (!isRetryableError(error, finalConfig)) {
+        return {
+          success: false,
+          error: lastError,
+          attempts: attempt,
+          lastError,
+        };
+      }
+      
+      // Se não for a última tentativa, aguarda antes de tentar novamente
+      if (attempt < finalConfig.maxAttempts) {
+        const delay = calculateDelay(attempt, finalConfig);
+        await new Promise(resolve => setTimeout(resolve, delay));
+      }
+    }
+  }
+  
+  return {
+    success: false,
+    error: lastError,
+    attempts: finalConfig.maxAttempts,
+    lastError,
+  };
+}
+
+/**
+ * Cria um timeout para uma promise
+ */
+export function withTimeout<T>(
+  promise: Promise<T>,
+  timeoutMs: number,
+  timeoutMessage = 'Operation timed out'
+): Promise<T> {
+  return Promise.race([
+    promise,
+    new Promise<T>((_, reject) => 
+      setTimeout(() => reject(new Error(timeoutMessage)), timeoutMs)
+    ),
+  ]);
+}
+
+/**
+ * Calcula timeout adaptativo baseado no round
+ * Reduz 20% a cada round: 10s → 8s → 6s → 4.8s
+ */
+export function calculateAdaptiveTimeout(
+  round: number,
+  initialTimeout: number = 10000,
+  reductionRate: number = 0.2
+): number {
+  const timeout = initialTimeout * Math.pow(1 - reductionRate, round - 1);
+  return Math.max(timeout, 5000); // Mínimo de 5s
+}
+
+/**
+ * Calcula timeout por motor baseado em tentativas
+ * Reduz após cada falha: 10s → 7s → 5s
+ */
+export function calculateEngineTimeout(
+  attempt: number,
+  initialTimeout: number = 10000,
+  reductionRate: number = 0.3
+): number {
+  const timeout = initialTimeout * Math.pow(1 - reductionRate, attempt - 1);
+  return Math.max(timeout, 3000); // Mínimo de 3s
+}
+
+/**
+ * Configurações otimizadas de timeout
+ */
+export const TIMEOUT_CONFIG = {
+  initialTimeout: 10000, // 10s (reduzido de 15s)
+  timeoutReductionPerRound: 0.2, // 20%
+  maxTimeoutPerQuery: 25000, // 25s total por query
+  maxTimeoutPerRound: 15000, // 15s por round
+  minTimeout: 5000, // Mínimo absoluto
+  minEngineTimeout: 3000, // Mínimo por motor
+} as const;
+
+
+

lib/sanitize-web-content.ts

@@ -0,0 +1,122 @@
+/**
+ * Sanitiza conteúdo extraído da web antes de injetar no prompt da IA
+ * Remove caracteres de controle, limita tamanho e previne prompt injection
+ */
+
+export interface SanitizeOptions {
+  maxLength?: number;
+  removeControlChars?: boolean;
+  removeHiddenText?: boolean;
+}
+
+const DEFAULT_OPTIONS: Required<SanitizeOptions> = {
+  maxLength: 10000, // Limite padrão de ~10k caracteres
+  removeControlChars: true,
+  removeHiddenText: true,
+};
+
+/**
+ * Remove caracteres de controle invisíveis que podem ser usados para prompt injection
+ */
+function removeControlCharacters(text: string): string {
+  // Remove caracteres de controle (0x00-0x1F, exceto \n, \r, \t)
+  return text.replace(/[\x00-\x08\x0B\x0C\x0E-\x1F\x7F]/g, '');
+}
+
+/**
+ * Remove texto oculto (zero-width spaces, directional markers, etc)
+ */
+function removeHiddenText(text: string): string {
+  // Remove zero-width spaces e outros caracteres invisíveis
+  return text
+    .replace(/[\u200B-\u200D\uFEFF]/g, '') // Zero-width spaces
+    .replace(/[\u202A-\u202E]/g, '') // Directional markers
+    .replace(/[\u2060-\u206F]/g, ''); // Word joiners e outros
+}
+
+/**
+ * Remove tags HTML/XML que podem conter instruções maliciosas
+ */
+function removeSuspiciousTags(text: string): string {
+  // Remove tags script, style, meta que podem conter instruções
+  return text
+    .replace(/<script[^>]*>[\s\S]*?<\/script>/gi, '')
+    .replace(/<style[^>]*>[\s\S]*?<\/style>/gi, '')
+    .replace(/<meta[^>]*>/gi, '')
+    .replace(/<!--[\s\S]*?-->/g, ''); // Remove comentários HTML
+}
+
+/**
+ * Limita o tamanho do texto e adiciona indicador se foi truncado
+ */
+function limitLength(text: string, maxLength: number): string {
+  if (text.length <= maxLength) {
+    return text;
+  }
+  
+  // Truncar em um ponto "seguro" (final de palavra/sentença)
+  const truncated = text.substring(0, maxLength);
+  const lastSpace = truncated.lastIndexOf(' ');
+  const lastNewline = truncated.lastIndexOf('\n');
+  const cutPoint = Math.max(lastSpace, lastNewline);
+  
+  if (cutPoint > maxLength * 0.9) {
+    // Se encontrou um bom ponto de corte próximo ao limite
+    return truncated.substring(0, cutPoint) + '\n\n[... conteúdo truncado para economizar tokens ...]';
+  }
+  
+  return truncated + '\n\n[... conteúdo truncado para economizar tokens ...]';
+}
+
+/**
+ * Sanitiza conteúdo web para prevenir prompt injection e controlar tamanho
+ * 
+ * @param content - Conteúdo bruto extraído da web
+ * @param options - Opções de sanitização
+ * @returns Conteúdo sanitizado e seguro para injetar no prompt
+ */
+export function sanitizeWebContent(
+  content: string,
+  options: SanitizeOptions = {}
+): string {
+  const opts = { ...DEFAULT_OPTIONS, ...options };
+  let sanitized = content;
+
+  // 1. Remover tags suspeitas primeiro
+  sanitized = removeSuspiciousTags(sanitized);
+
+  // 2. Remover caracteres de controle
+  if (opts.removeControlChars) {
+    sanitized = removeControlCharacters(sanitized);
+  }
+
+  // 3. Remover texto oculto
+  if (opts.removeHiddenText) {
+    sanitized = removeHiddenText(sanitized);
+  }
+
+  // 4. Normalizar espaços em branco excessivos
+  sanitized = sanitized.replace(/\s{3,}/g, ' '); // Múltiplos espaços -> um espaço
+  sanitized = sanitized.replace(/\n{4,}/g, '\n\n\n'); // Múltiplas quebras -> máximo 3
+
+  // 5. Limitar tamanho
+  sanitized = limitLength(sanitized, opts.maxLength);
+
+  return sanitized.trim();
+}
+
+/**
+ * Sanitiza múltiplas fontes e combina
+ */
+export function sanitizeWebSources(
+  sources: Array<{ markdown: string; url: string; title: string }>,
+  options: SanitizeOptions = {}
+): string {
+  const sanitizedSources = sources.map((source, index) => {
+    const sanitized = sanitizeWebContent(source.markdown, options);
+    return `---\nFonte ${index + 1}: ${source.title}\nURL: ${source.url}\n---\n\n${sanitized}`;
+  });
+
+  return sanitizedSources.join('\n\n---\n\n');
+}
+