docs(readme): redesenha o README com hero em SVG [skip ci]

Documents only what was executed on Linux (Node 24, npm): install, tsc, expo lint,
web export and a headless-browser E2E against a mock of the LM Studio /v1 API.
Also fixes the clone URL, which pointed at the old LocalAiApp repository name.

.gitattributes

@@ -0,0 +1,4 @@
+# O diretorio .agent/ contem ferramentas de apoio ao desenvolvimento (agentes,
+# skills e rules de IA), nao faz parte do app React Native.
+.agent/** linguist-vendored
+.agent/** linguist-documentation

.gitignore

@@ -36,6 +36,10 @@ yarn-error.*
 # typescript
 *.tsbuildinfo
 
+# python (scripts de apoio em .agent/)
+__pycache__/
+*.pyc
+
 app-example
 
 # generated native folders

.graphifyignore

@@ -1,21 +0,0 @@
-node_modules/
-.next/
-dist/
-build/
-out/
-coverage/
-.git/
-.pnpm-store/
-.cache/
-*.log
-.env
-.env.*
-__pycache__/
-*.pyc
-.venv/
-venv/
-target/
-*.exe
-*.dll
-*.so
-*.dylib

1.2.0

@@ -1,12 +0,0 @@
-
-added 885 packages, changed 29 packages, and audited 915 packages in 22s
-
-166 packages are looking for funding
-  run `npm fund` for details
-
-4 vulnerabilities (1 moderate, 3 high)
-
-To address all issues, run:
-  npm audit fix
-
-Run `npm audit` for details.

README.md

@@ -1,79 +1,83 @@
-# LocalMind
+<div align="center">
 
-![React Native](https://img.shields.io/badge/React_Native-20232A?style=for-the-badge&logo=react&logoColor=61DAFB) ![Expo](https://img.shields.io/badge/expo-1C1E24?style=for-the-badge&logo=expo&logoColor=#D04A37) ![Zustand](https://img.shields.io/badge/Zustand-443E38?style=for-the-badge&logo=react&logoColor=white) ![LMStudio](https://img.shields.io/badge/Powered_by-LMStudio-5E5DF0?style=for-the-badge)
+<img src="assets/readme/hero.svg" width="100%" alt="LocalMind: chat with your LM Studio models from a phone or browser on your own network">
 
-> A fully local, privacy-first AI companion app built with React Native and Expo. Your data never leaves your device.
+![React Native 0.81](https://img.shields.io/badge/React_Native-0.81-61DAFB?style=flat-square&logo=react&logoColor=black)
+![Expo 54](https://img.shields.io/badge/Expo-54-1C1E24?style=flat-square&logo=expo&logoColor=white)
+![TypeScript 5.9](https://img.shields.io/badge/TypeScript-5.9-3178C6?style=flat-square&logo=typescript&logoColor=white)
+![Platforms](https://img.shields.io/badge/platforms-Android_%7C_iOS_%7C_Web-555?style=flat-square)
+![Status](https://img.shields.io/badge/status-alpha-orange?style=flat-square)
 
-This application connects directly to your own local AI models, completely offline. Currently in alpha, it pairs flawlessly with the [LMStudio](https://lmstudio.ai) local inference API. We developed and tested it against **Qwen3.5 (without thinking)** to guarantee a smooth, zero-latency experience.
+[Quick start](#quick-start) · [Issues](https://git.evandro.dev.br/evandro/LocalMind/issues)
 
-*Roadmap: Future updates will introduce direct in-app model downloads and support for external APIs.*
+</div>
 
----
+## What it is
 
-## Features
+LocalMind is a chat client for the models you run in [LM Studio](https://lmstudio.ai). It is an Expo app for Android, iOS and the web that talks to LM Studio's OpenAI-compatible `/v1` API over your LAN or `localhost`. It is only the client: there is no backend, no account and no server to deploy.
 
-- **100% Offline Inference:** Complete privacy. Zero cloud dependency.
-- **Plug & Play LMStudio:** Instantly detects and fetches active models from your local server.
-- **Persistent Sessions:** Chat histories and settings are saved locally using Zustand and `AsyncStorage`.
-- **Developer-Friendly UI:** Real-time markdown rendering with syntax highlighting and 1-click code copying.
-- **Minimalist Dark Mode:** High-contrast, distraction-free interface built on NativeWind principles.
+## Why use it
 
----
+- **Your messages stay on your network.** The app only talks to the LM Studio address you set in Settings. There is no cloud API and no fallback to one.
+- **Real streaming on every target.** Requests go out with `stream: true` and each SSE `choices[0].delta.content` is appended as it arrives: through `XMLHttpRequest` progress events on native, through `fetch` with a `ReadableStream` on the web. You can stop generation mid-stream.
+- **The chat basics are there.** Markdown with copyable code blocks, edit, delete and regenerate, a model selector fed by LM Studio, history saved on the device, and light, dark or system theme.
 
-## Quick Start
+**When not to use it:** if you want a cloud model, a server other than LM Studio (the app was built against LM Studio only), or a verified phone build. The Android and iOS builds and the native streaming path have not been verified yet.
 
-To run this application, you will need both the frontend development environment and a local AI engine running.
+## How it works
 
-### 1. Model Server (LMStudio)
+- Screens are file-based routes (`expo-router`): `app/chat`, `app/chat/history` and `app/settings`. `hooks/useLMStudio` exposes send, regenerate, stop and model fetching.
+- `services/lmStudioApi` builds `http(s)://<host>:<port>/v1`, calls `GET /v1/models` for the selector and the connection test, and streams `POST /v1/chat/completions`.
+- `store/useAppStore` (Zustand) persists theme, server settings, chat sessions and the current chat in `AsyncStorage`. A finished exchange becomes a session titled from the first user message.
 
-1. Extract and open [LMStudio](https://lmstudio.ai/).
-2. Download a compatible model (e.g., Llama 3, Qwen2.5, Mistral).
-3. Open the **Local Server** tab (`<->`).
-4. Enable **CORS** and set the port (default: `1234`).
-5. Click **Start Server**.
+## Quick start
 
-> **Note:** If testing on a physical mobile device, locate your machine's local IPv4 address (e.g., `192.168.1.X`).
+You need Node.js 20.19.4 or newer (required by React Native 0.81; not declared in `package.json`), npm, and LM Studio with at least one model downloaded. To run the app, use [Expo Go](https://expo.dev/go) on a device, an Android or iOS emulator, or a browser.
 
-### 2. Mobile Client (App)
+**1. Start LM Studio's server.** Open the **Local Server** tab (the `<->` icon), load a model, enable **CORS**, keep the port at `1234` (or note yours) and click **Start Server**.
 
-Ensure you have [Node.js](https://nodejs.org/) (v18+) and the [Expo Go](https://expo.dev/go) app installed.
+**2. Run the app.**
 
 ```bash
-git clone https://github.com/evandrodevbr/LocalAiApp.git
-cd LocalAiApp
+git clone https://git.evandro.dev.br/evandro/LocalMind.git
+cd LocalMind
 npm install
-npx expo start
+npm run start      # Expo CLI: press w (web), a (Android), i (iOS) or scan the QR code with Expo Go
 ```
 
-Scan the QR code with Expo Go, or type `i`/`a` to launch a simulator.
+`npm run android`, `npm run ios` and `npm run web` open a target directly. Do not run `npm run reset-project`: it is the Expo template script and moves or deletes `app/`, `components/`, `hooks/`, `constants/` and `scripts/`.
 
-### 3. Connection
+**3. Point the app at LM Studio.** Open **Settings** (gear icon in the chat header), fill **Host IP / Address** and **Port Number**, then tap **Test Connection**. On a physical device the host must be your computer's LAN address (`192.168.x.x`), not `localhost`. The badge turns to *Connected* and the loaded models appear in the header. Until then the chat shows *Server offline*: the app does not connect on launch.
 
-1. Open the app and tap the **Settings** icon.
-2. Enter your LMStudio server IP and Port (e.g., `192.168.1.X:1234`).
-3. Tap **Test Connection**.
+## Configuration
 
-Once connected, your available models will load automatically.
+The app reads no environment variables. The server address is a runtime setting stored on the device:
 
----
+| Setting | Default | Notes |
+|---|---|---|
+| Host IP / Address | `localhost` | `http://` is prepended when the value does not start with `http` |
+| Port Number | `1234` | LM Studio's default port |
+| API Key (optional) | empty | Sent as `Authorization: Bearer <key>` only when filled in |
 
-## Bug Reports & Contributing
+Everything else lives in code: `temperature: 0.7` and `max_tokens: 2048` in `services/lmStudioApi.ts` (the connection test gives up after 5 s), the fixed system prompt in `constants/SystemPrompt.ts`, and the persisted state under the `localaiapp-storage` key in `store/useAppStore.ts`.
 
-Found an issue or have a suggestion? We welcome community involvement!
+## Project status
 
-👉 **[Report an Issue or Request a Feature](https://github.com/evandrodevbr/LocalAiApp/issues)**
+Alpha, with no tests and no CI. Known gaps:
 
-When creating an issue, please include:
+- The selected model and the model list are not persisted, so you pick a model again after a restart.
+- `constants/Models.ts` (a Qwen model catalog) and the `react-native-sse` dependency are not used by any code.
+- `app.json` and the storage key still carry the previous project name (`LocalAiApp`, `localaiapp-storage`).
+- Both `package-lock.json` and `pnpm-lock.yaml` are committed.
 
-- A clear description of the bug.
-- Steps to reproduce.
-- Relevant screenshots or environment details.
+Before opening a PR, run `npm run lint` (Expo's ESLint config) and `npx tsc --noEmit`. Notes on the LM Studio API, in Portuguese, are in [`docs/`](docs/).
 
----
+## License
 
-## Acknowledgments
+No published license: all rights reserved.
 
-Thank you for exploring this project! Our mission is to share knowledge and foster an open-source collaborative ecosystem around offline AI solutions. All feedback, testing, and code contributions are highly appreciated.
+<div align="center">
 
-<br>
-<br>
+<sub>Made by <a href="https://evandro.dev.br">Evandro Fonseca Junior</a> · <a href="https://git.evandro.dev.br/evandro">git.evandro.dev.br</a></sub>
+
+</div>

app/+not-found.tsx

@@ -1,19 +1,17 @@
 import { Link, Stack } from 'expo-router';
-import { StyleSheet } from 'react-native';
-
-import { ThemedText } from '@/components/themed-text';
-import { ThemedView } from '@/components/themed-view';
+import { StyleSheet, Text, View } from 'react-native';
 
 export default function NotFoundScreen() {
   return (
     <>
       <Stack.Screen options={{ title: 'Oops!' }} />
-      <ThemedView style={styles.container}>
-        <ThemedText type="title">This screen doesn't exist.</ThemedText>
+      <View style={styles.container}>
+        <Text style={styles.title}>This screen does not exist.</Text>
+
         <Link href="/" style={styles.link}>
-          <ThemedText type="link">Go to home screen!</ThemedText>
+          <Text style={styles.linkText}>Go to home screen</Text>
         </Link>
-      </ThemedView>
+      </View>
     </>
   );
 }
@@ -25,8 +23,16 @@ const styles = StyleSheet.create({
     justifyContent: 'center',
     padding: 20,
   },
+  title: {
+    fontSize: 20,
+    fontWeight: 'bold',
+  },
   link: {
     marginTop: 15,
     paddingVertical: 15,
   },
+  linkText: {
+    fontSize: 14,
+    color: '#2e78b7',
+  },
 });

app/chat/index.tsx

@@ -26,17 +26,6 @@ export default function ChatScreen() {
     const editMessage = useAppStore(state => state.editMessage);
     const { sendMessage, stopStreaming, regenerateResponse, isStreaming, isConnected } = useLMStudio();
     const flatListRef = useRef<FlatList>(null);
-    const isUserScrollingRef = useRef(false);
-    const isAutoScrollEnabled = useRef(true);
-    const prevMessagesLength = useRef(messages.length);
-
-    const handleScroll = useCallback((event: any) => {
-        const { layoutMeasurement, contentOffset, contentSize } = event.nativeEvent;
-        // if user is within 100 pixels of the bottom, it's considered at the bottom
-        const paddingToBottom = 100;
-        const isCloseToBottom = layoutMeasurement.height + contentOffset.y >= contentSize.height - paddingToBottom;
-        isAutoScrollEnabled.current = isCloseToBottom;
-    }, []);
 
     // Find the editing message content
     const editingMessage = editingMessageId
@@ -80,7 +69,6 @@ export default function ChatScreen() {
             }, 100);
         } else {
             sendMessage(text);
-            isAutoScrollEnabled.current = true; // explicitly re-enable on manual send
         }
     }, [editingMessageId, editingMessage, editMessage, deleteMessagesAfter, setEditingMessageId, sendMessage]);
 
@@ -93,19 +81,17 @@ export default function ChatScreen() {
         : null;
 
     useEffect(() => {
-        const isNewMessage = messages.length > prevMessagesLength.current;
-        prevMessagesLength.current = messages.length;
-
         if (messages.length > 0 && flatListRef.current) {
             setTimeout(() => {
-                if ((isAutoScrollEnabled.current && !isUserScrollingRef.current) || isNewMessage) {
-                    flatListRef.current?.scrollToEnd({ animated: true });
-                }
+                flatListRef.current?.scrollToEnd({ animated: !isStreaming });
             }, 100);
         }
-    }, [messages.length, messages[messages.length - 1]?.content?.length]);
-
+    }, [messages.length, messages[messages.length - 1]?.content?.length, isStreaming]);
 
+    const showTypingIndicator = isStreaming &&
+        messages.length > 0 &&
+        messages[messages.length - 1]?.role === 'assistant' &&
+        messages[messages.length - 1]?.content === '';
 
     return (
         <KeyboardAvoidingView
@@ -151,10 +137,6 @@ export default function ChatScreen() {
                         ref={flatListRef}
                         data={messages}
                         keyExtractor={(item) => item.id}
-                        onScroll={handleScroll}
-                        onScrollBeginDrag={() => isUserScrollingRef.current = true}
-                        onScrollEndDrag={() => isUserScrollingRef.current = false}
-                        scrollEventThrottle={16}
                         renderItem={({ item, index }) => (
                             <Animated.View entering={FadeInDown.duration(300).delay(index > messages.length - 4 ? 100 : 0)}>
                                 <MessageBubble
@@ -169,6 +151,7 @@ export default function ChatScreen() {
                         )}
                         contentContainerStyle={styles.listContent}
                     />
+                    {showTypingIndicator && <TypingIndicator />}
                 </>
             )}
 

app/settings/index.tsx

@@ -215,7 +215,7 @@ export default function SettingsScreen() {
                 <View style={[styles.card, { backgroundColor: colors.cardBackground, borderColor: colors.border }]}>
                     <View style={styles.rowGroup}>
                         <Info size={18} color={colors.textMuted} style={styles.infoIcon} />
-                        <Text style={[styles.infoText, { color: colors.text }]}>LocalAiApp - Cross Platform Version</Text>
+                        <Text style={[styles.infoText, { color: colors.text }]}>LocalMind - Cross Platform Version</Text>
                     </View>
                     <View style={[styles.rowGroup, { marginTop: 8 }]}>
                         <MonitorCog size={18} color={colors.textMuted} style={styles.infoIcon} />

assets/readme/hero.svg

@@ -0,0 +1,46 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="1200" height="420" viewBox="0 0 1200 420" role="img" aria-labelledby="title desc">
+  <title id="title">LocalMind</title>
+  <desc id="desc">LocalMind: a phone chat screen marked Connected talks over the local network to LM Studio running on your computer at port 1234, path /v1.</desc>
+
+  <rect width="1200" height="420" rx="24" fill="#09090B"/>
+
+  <g id="title-block" font-family="system-ui, -apple-system, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif">
+    <text x="64" y="170" font-size="64" font-weight="700" fill="#FAFAFA">LocalMind</text>
+    <text x="64" y="226" font-size="28" fill="#FAFAFA">Chat with your LM Studio models</text>
+    <text x="64" y="264" font-size="28" fill="#FAFAFA">from a phone or browser on your LAN.</text>
+    <text x="64" y="322" font-size="20" fill="#A1A1AA" font-family="ui-monospace, 'SF Mono', Consolas, monospace">React Native 0.81 · Expo 54 · TypeScript</text>
+  </g>
+
+  <g id="phone" font-family="system-ui, -apple-system, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif">
+    <rect x="644" y="44" width="216" height="332" rx="34" fill="#18181B" stroke="#3F3F46" stroke-width="3"/>
+    <rect x="722" y="58" width="60" height="8" rx="4" fill="#3F3F46"/>
+    <rect x="662" y="82" width="134" height="32" rx="16" fill="#052E16"/>
+    <circle cx="680" cy="98" r="5" fill="#BBF7D0"/>
+    <text x="692" y="104" font-size="18" fill="#BBF7D0">Connected</text>
+    <rect x="696" y="132" width="146" height="40" rx="16" fill="#FAFAFA"/>
+    <text x="769" y="158" font-size="20" fill="#09090B" text-anchor="middle">Explain SSE</text>
+    <rect x="662" y="188" width="164" height="104" rx="16" fill="#27272A"/>
+    <rect x="680" y="208" width="128" height="10" rx="5" fill="#A1A1AA"/>
+    <rect x="680" y="232" width="112" height="10" rx="5" fill="#A1A1AA"/>
+    <rect x="680" y="256" width="72" height="10" rx="5" fill="#A1A1AA"/>
+    <rect x="760" y="252" width="10" height="18" rx="2" fill="#FAFAFA"/>
+    <rect x="662" y="314" width="180" height="40" rx="20" fill="#09090B" stroke="#3F3F46" stroke-width="2"/>
+    <text x="682" y="340" font-size="18" fill="#A1A1AA">Message</text>
+    <circle cx="822" cy="334" r="13" fill="#FAFAFA"/>
+    <path d="M822 340 v-12 M816 333 l6 -6 l6 6" fill="none" stroke="#09090B" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"/>
+  </g>
+
+  <g id="lan-link" font-family="system-ui, -apple-system, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif">
+    <path d="M872 206 h80" stroke="#A1A1AA" stroke-width="2" stroke-dasharray="8 6"/>
+    <text x="912" y="190" font-size="18" fill="#A1A1AA" text-anchor="middle">LAN</text>
+  </g>
+
+  <g id="computer" font-family="system-ui, -apple-system, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif">
+    <rect x="960" y="140" width="176" height="124" rx="12" fill="#18181B" stroke="#3F3F46" stroke-width="3"/>
+    <text x="1048" y="194" font-size="20" font-weight="700" fill="#FAFAFA" text-anchor="middle">LM Studio</text>
+    <text x="1048" y="228" font-size="20" fill="#A1A1AA" text-anchor="middle" font-family="ui-monospace, 'SF Mono', Consolas, monospace">:1234/v1</text>
+    <rect x="1032" y="264" width="32" height="24" fill="#3F3F46"/>
+    <rect x="1004" y="288" width="88" height="10" rx="4" fill="#3F3F46"/>
+    <text x="1048" y="334" font-size="18" fill="#A1A1AA" text-anchor="middle">your machine</text>
+  </g>
+</svg>

babel.config.js

@@ -0,0 +1,16 @@
+module.exports = function (api) {
+  api.cache(true);
+  return {
+    presets: [
+      [
+        'babel-preset-expo',
+        {
+          // Dependencias (zustand/middleware) usam `import.meta.env`, que nao existe
+          // no bundle web do Metro (script classico) e quebrava a hidratacao do app.
+          // O polyfill do Expo troca por `globalThis.__ExpoImportMetaRegistry`.
+          unstable_transformImportMeta: true,
+        },
+      ],
+    ],
+  };
+};

components/chat/ChatInput.tsx

@@ -1,7 +1,6 @@
 import { useThemeColor } from '@/hooks/useThemeColor';
-import { useAppStore } from '@/store/useAppStore';
 import * as Haptics from 'expo-haptics';
-import { Globe, Send, Square, X } from 'lucide-react-native';
+import { Send, Square, X } from 'lucide-react-native';
 import React, { useEffect, useState } from 'react';
 import {
     Platform,
@@ -23,8 +22,6 @@ interface ChatInputProps {
 export function ChatInput({ onSend, onStop, isLoading, editingText, onCancelEdit }: ChatInputProps) {
     const [text, setText] = useState('');
     const colors = useThemeColor();
-    const isWebSearchEnabled = useAppStore(state => state.isWebSearchEnabled);
-    const setIsWebSearchEnabled = useAppStore(state => state.setIsWebSearchEnabled);
 
     // When editingText changes, fill the input
     useEffect(() => {
@@ -80,20 +77,6 @@ export function ChatInput({ onSend, onStop, isLoading, editingText, onCancelEdit
                     { backgroundColor: colors.inputBg, borderColor: colors.border, borderWidth: 1 },
                     isEditing && { borderColor: colors.tint, borderWidth: 1.5 }
                 ]}>
-                    <TouchableOpacity
-                        style={styles.webSearchButton}
-                        onPress={() => {
-                            Haptics.impactAsync(Haptics.ImpactFeedbackStyle.Light);
-                            setIsWebSearchEnabled(!isWebSearchEnabled);
-                        }}
-                        activeOpacity={0.7}
-                    >
-                        <Globe
-                            size={20}
-                            color={isWebSearchEnabled ? colors.tint : colors.textMuted}
-                        />
-                    </TouchableOpacity>
-
                     <TextInput
                         style={[styles.input, { color: colors.text }]}
                         placeholder="Send a message..."
@@ -181,15 +164,6 @@ const styles = StyleSheet.create({
         marginLeft: 8,
         marginBottom: 2,
     },
-    webSearchButton: {
-        width: 34,
-        height: 34,
-        borderRadius: 17,
-        alignItems: 'center',
-        justifyContent: 'center',
-        marginRight: 4,
-        marginBottom: 2,
-    },
     stopButton: {
         width: 34,
         height: 34,

components/chat/MessageBubble.tsx

@@ -3,10 +3,9 @@ import { ChatMessage } from '@/store/useAppStore';
 import Markdown from '@ronradtke/react-native-markdown-display';
 import * as Clipboard from 'expo-clipboard';
 import { Bot, Check, Copy, User } from 'lucide-react-native';
-import React, { useMemo, useState, useEffect } from 'react';
+import React, { useMemo, useState } from 'react';
 import { ScrollView, StyleSheet, Text, TouchableOpacity, useWindowDimensions, View } from 'react-native';
 import { MessageActions } from './MessageActions';
-import { ThinkingBlock } from './ThinkingBlock';
 
 interface MessageBubbleProps {
     message: ChatMessage;
@@ -41,37 +40,6 @@ export function MessageBubble({
     const showingStreaming = isStreaming && isLastAssistant;
     const shouldShowActions = !isUser || showActions;
 
-    const [displayedContent, setDisplayedContent] = useState(message.content);
-
-    useEffect(() => {
-        if (!showingStreaming) {
-            setDisplayedContent(message.content);
-            return;
-        }
-
-        let animationFrameId: number;
-        let currentText = displayedContent;
-        const targetText = message.content;
-
-        if (targetText.length < currentText.length) {
-            setDisplayedContent(targetText);
-            return;
-        }
-
-        const animate = () => {
-            if (currentText.length < targetText.length) {
-                const diff = targetText.length - currentText.length;
-                const charsToAdd = Math.max(1, Math.ceil(diff / 4));
-                currentText = targetText.slice(0, currentText.length + charsToAdd);
-                setDisplayedContent(currentText);
-                animationFrameId = requestAnimationFrame(animate);
-            }
-        };
-
-        animationFrameId = requestAnimationFrame(animate);
-        return () => cancelAnimationFrame(animationFrameId);
-    }, [message.content, showingStreaming]);
-
     // UseMemo for dynamic colors
     const markdownStyles = useMemo(() => ({
         body: {
@@ -204,56 +172,22 @@ export function MessageBubble({
     }), [copiedText]);
 
     const renderContent = () => {
-        let activeContent = showingStreaming ? displayedContent : message.content;
-        if (showingStreaming && displayedContent === '' && message.content !== '') {
-            // Prevent empty bubble flicker on the first chunk
-            activeContent = message.content.slice(0, 1);
-        }
-
         if (isUser) {
             return (
                 <Text style={[styles.text, { color: colors.messageUserText }]}>
-                    {activeContent}
+                    {message.content}
                 </Text>
             );
         }
 
-        if (!activeContent && showingStreaming) {
-            return (
-                <View style={styles.dotsRow}>
-                    <View style={[styles.dot, styles.dot1, { backgroundColor: colors.textMuted }]} />
-                    <View style={[styles.dot, styles.dot2, { backgroundColor: colors.textMuted }]} />
-                    <View style={[styles.dot, styles.dot3, { backgroundColor: colors.textMuted }]} />
-                </View>
-            );
-        }
-
-        const thinkMatch = activeContent.match(/<think>([\s\S]*?)(?:<\/think>|$)/);
-        let cleanContent = activeContent;
-        let thinkingContent = null;
-        let isThinkingComplete = false;
-
-        if (thinkMatch) {
-            thinkingContent = thinkMatch[1].trim();
-            isThinkingComplete = activeContent.includes('</think>');
-            cleanContent = activeContent.replace(thinkMatch[0], '').trim();
+        if (!message.content && showingStreaming) {
+            return null; // TypingIndicator handled externally
         }
 
         return (
-            <>
-                {thinkingContent !== null && (
-                    <ThinkingBlock 
-                        content={thinkingContent} 
-                        isComplete={isThinkingComplete} 
-                        isStreaming={showingStreaming} 
-                    />
-                )}
-                {cleanContent.length > 0 && (
-                    <Markdown style={markdownStyles} rules={markdownRules}>
-                        {cleanContent}
-                    </Markdown>
-                )}
-            </>
+            <Markdown style={markdownStyles} rules={markdownRules}>
+                {message.content}
+            </Markdown>
         );
     };
 
@@ -300,10 +234,10 @@ export function MessageBubble({
             </View>
 
             {/* Action buttons */}
-            {(shouldShowActions || !isUser) && (showingStreaming ? displayedContent : message.content).length > 0 && (
+            {(shouldShowActions || !isUser) && message.content.length > 0 && (
                 <MessageActions
                     role={message.role}
-                    content={showingStreaming ? displayedContent : message.content}
+                    content={message.content}
                     onEdit={isUser ? onEdit : undefined}
                     onRegenerate={!isUser && isLastAssistant ? onRegenerate : undefined}
                     onDelete={onDelete}
@@ -423,19 +357,4 @@ const styles = StyleSheet.create({
         fontSize: 13,
         fontFamily: 'monospace',
     },
-    dotsRow: {
-        flexDirection: 'row',
-        gap: 6,
-        alignItems: 'center',
-        minHeight: 22,
-        paddingHorizontal: 4,
-    },
-    dot: {
-        width: 8,
-        height: 8,
-        borderRadius: 4,
-    },
-    dot1: { opacity: 1.0 },
-    dot2: { opacity: 0.6 },
-    dot3: { opacity: 0.3 },
 });

components/chat/ThinkingBlock.tsx

@@ -1,127 +0,0 @@
-import { useThemeColor } from '@/hooks/useThemeColor';
-import { BrainCircuit, ChevronDown, ChevronRight } from 'lucide-react-native';
-import React, { useEffect, useState } from 'react';
-import { StyleSheet, Text, TouchableOpacity, View } from 'react-native';
-import Animated, {
-    useAnimatedStyle,
-    useSharedValue,
-    withRepeat,
-    withSequence,
-    withTiming
-} from 'react-native-reanimated';
-
-interface ThinkingBlockProps {
-    content: string;
-    isComplete: boolean;
-    isStreaming?: boolean;
-}
-
-export function ThinkingBlock({ content, isComplete, isStreaming }: ThinkingBlockProps) {
-    const colors = useThemeColor();
-    // Auto-expand while streaming/thinking, auto-collapse when complete
-    const [isExpanded, setIsExpanded] = useState(!isComplete);
-    
-    // Auto collapse when it completes streaming
-    useEffect(() => {
-        if (isComplete && !isStreaming) {
-            setIsExpanded(false);
-        } else if (!isComplete && isStreaming) {
-            setIsExpanded(true);
-        }
-    }, [isComplete, isStreaming]);
-
-    // Pulse animation value
-    const pulseOpacity = useSharedValue(1);
-
-    useEffect(() => {
-        if (!isComplete && isStreaming) {
-            pulseOpacity.value = withRepeat(
-                withSequence(
-                    withTiming(0.4, { duration: 800 }),
-                    withTiming(1, { duration: 800 })
-                ),
-                -1, // infinite
-                true // reverse
-            );
-        } else {
-            pulseOpacity.value = withTiming(1, { duration: 300 });
-        }
-    }, [isComplete, isStreaming, pulseOpacity]);
-
-    const animatedHeaderStyle = useAnimatedStyle(() => {
-        return {
-            opacity: pulseOpacity.value,
-        };
-    });
-
-    if (!content && isComplete) {
-        return null;
-    }
-
-    return (
-        <View style={[styles.container, { borderColor: colors.border }]}>
-            <TouchableOpacity
-                style={styles.header}
-                activeOpacity={0.7}
-                onPress={() => setIsExpanded(!isExpanded)}
-            >
-                <Animated.View style={[styles.titleRow, animatedHeaderStyle]}>
-                    <BrainCircuit size={16} color={colors.textMuted} />
-                    <Text style={[styles.titleText, { color: colors.textMuted }]}>
-                        {!isComplete && isStreaming ? 'Pensando...' : 'Processo de Raciocínio'}
-                    </Text>
-                </Animated.View>
-                
-                {isExpanded ? (
-                    <ChevronDown size={18} color={colors.textMuted} />
-                ) : (
-                    <ChevronRight size={18} color={colors.textMuted} />
-                )}
-            </TouchableOpacity>
-
-            {isExpanded && content.length > 0 && (
-                <View style={[styles.contentBlock, { borderTopColor: colors.border }]}>
-                    <Text style={[styles.contentText, { color: colors.textMuted }]}>
-                        {content}
-                    </Text>
-                </View>
-            )}
-        </View>
-    );
-}
-
-const styles = StyleSheet.create({
-    container: {
-        borderWidth: 1,
-        borderRadius: 8,
-        marginVertical: 8,
-        overflow: 'hidden',
-        width: '100%',
-    },
-    header: {
-        flexDirection: 'row',
-        alignItems: 'center',
-        justifyContent: 'space-between',
-        paddingHorizontal: 12,
-        paddingVertical: 10,
-    },
-    titleRow: {
-        flexDirection: 'row',
-        alignItems: 'center',
-        gap: 8,
-    },
-    titleText: {
-        fontSize: 13,
-        fontWeight: '600',
-    },
-    contentBlock: {
-        paddingHorizontal: 12,
-        paddingVertical: 10,
-        borderTopWidth: 1,
-    },
-    contentText: {
-        fontSize: 14,
-        lineHeight: 20,
-        fontFamily: 'monospace',
-    },
-});

hooks/useLMStudio.ts

@@ -3,7 +3,6 @@ import { SYSTEM_PROMPT } from '../constants/SystemPrompt';
 import * as api from '../services/lmStudioApi';
 import { ChatMessage as ApiMessage } from '../services/types';
 import { useAppStore } from '../store/useAppStore';
-import { WebSearchLogger } from '../services/webSearchLogger';
 
 export function useLMStudio() {
     const serverConfig = useAppStore((s) => s.serverConfig);
@@ -48,13 +47,18 @@ export function useLMStudio() {
     const sendMessage = useCallback(async (text: string) => {
         if (isStreaming) return;
 
-        const pipelineStart = Date.now();
-        const store = useAppStore.getState();
-        const isWebSearchEnabled = store.isWebSearchEnabled;
-
         addMessage({ role: 'user', content: text });
 
-        const modelId = store.activeModelId;
+        const currentMessages = useAppStore.getState().messages;
+        const apiMessages: ApiMessage[] = [
+            { role: 'system', content: SYSTEM_PROMPT },
+            ...currentMessages.map((m) => ({
+                role: m.role,
+                content: m.content,
+            }))
+        ];
+
+        const modelId = useAppStore.getState().activeModelId;
         if (!modelId) {
             addMessage({
                 role: 'assistant',
@@ -67,128 +71,19 @@ export function useLMStudio() {
         setIsStreaming(true);
 
         try {
-            let searchContext = '';
-            let searchSources: Array<{ title: string; url: string }> = [];
-
-            if (isWebSearchEnabled) {
-                // ── Step 1: Build search service URL ─────────────────────────────
-                // ServerConfig has { host, port } — construct the search service URL
-                // from the same host, but on port 3030.
-                const rawHost = store.serverConfig.host.replace(/\/+$/, '');
-                const hostWithProtocol = rawHost.startsWith('http') ? rawHost : `http://${rawHost}`;
-                const searchEndpoint = `${hostWithProtocol}:3030/search-and-extract`;
-
-                WebSearchLogger.pipelineStart(text, searchEndpoint);
-                WebSearchLogger.endpointResolved(
-                    store.serverConfig.host,
-                    store.serverConfig.port,
-                    searchEndpoint,
-                );
-
-                appendToMessage(assistantId, '<think>Searching the web...</think>\n');
-
-                try {
-                    const maxContextLength = 10000;
-                    // 60s timeout: SearXNG + 3 páginas em paralelo (max ~8s cada) + parsing
-                    // Sequential era ~24s worst case; paralelo cabe em ~10-15s. 60s é margem segura.
-                    const SEARCH_TIMEOUT_MS = 60000;
-                    const searchController = new AbortController();
-                    const searchTimeout = setTimeout(() => {
-                        searchController.abort();
-                    }, SEARCH_TIMEOUT_MS);
-
-                    WebSearchLogger.requestSent(text, maxContextLength, SEARCH_TIMEOUT_MS);
-
-                    const searchRes = await fetch(searchEndpoint, {
-                        method: 'POST',
-                        headers: { 'Content-Type': 'application/json' },
-                        body: JSON.stringify({
-                            query: text,
-                            maxContextLength,
-                        }),
-                        signal: searchController.signal,
-                    });
-
-                    clearTimeout(searchTimeout);
-
-                    if (searchRes.ok) {
-                        const searchData = await searchRes.json();
-                        searchContext = searchData.context ?? '';
-                        searchSources = searchData.sources ?? [];
-
-                        WebSearchLogger.contextReceived(
-                            searchContext,
-                            searchSources,
-                            searchData.meta,
-                        );
-                    } else {
-                        WebSearchLogger.requestFailed(searchRes.status, searchRes.statusText);
-                    }
-                } catch (error) {
-                    const isTimeout = error instanceof Error && error.name === 'AbortError';
-                    WebSearchLogger.serviceUnreachable(error, isTimeout);
-                }
-
-                // Clear the temporary "searching..." thought bubble
-                store.updateMessageContent(assistantId, '');
-            }
-
-            // ── Step 2: Build API messages ──────────────────────────────────────
-            const currentMessages = useAppStore.getState().messages;
-            // Exclude the empty assistant placeholder from the history
-            const historyToSend = currentMessages.slice(0, currentMessages.length - 1);
-
-            // Warn explicitly when web search was enabled but returned no context
-            if (isWebSearchEnabled && !searchContext) {
-                console.warn(
-                    '[WebSearch/Fallback] ⚠️ Web search was enabled but returned NO context. ' +
-                    'Proceeding with LLM response without web data. ' +
-                    'Check if local-search-service is running at the correct address.',
-                );
-            }
-
-            const systemContent = SYSTEM_PROMPT + (searchContext ? `\n\n${searchContext}` : '');
-
-            const apiMessages: ApiMessage[] = [
-                { role: 'system', content: systemContent },
-                ...historyToSend.map((m) => ({
-                    role: m.role,
-                    content: m.content,
-                })),
-            ];
-
-            // ── Step 3: Context Window Analysis ────────────────────────────────
-            if (isWebSearchEnabled) {
-                const historyChars = historyToSend.reduce((sum, m) => sum + m.content.length, 0);
-                WebSearchLogger.contextAnalysis(
-                    systemContent.length,
-                    historyChars,
-                    searchContext.length,
-                );
-            }
-
-            // ── Step 4: Stream LLM response ────────────────────────────────────
-            WebSearchLogger.llmRequestStart(modelId, apiMessages.length);
-
-            let chunkCount = 0;
-
             abortRef.current = api.chatCompletionStream(
                 serverConfig,
                 modelId,
                 apiMessages,
                 (chunk) => {
-                    chunkCount++;
                     appendToMessage(assistantId, chunk);
                 },
                 () => {
-                    WebSearchLogger.llmStreamComplete(assistantId, chunkCount);
-                    WebSearchLogger.pipelineComplete(text, Date.now() - pipelineStart, isWebSearchEnabled);
                     setIsStreaming(false);
                     abortRef.current = null;
                     useAppStore.getState().saveCurrentChat();
                 },
                 (error) => {
-                    WebSearchLogger.llmError(error);
                     const errorMsg = `\n\n⚠️ Error: ${error.message}`;
                     appendToMessage(assistantId, errorMsg);
                     setIsStreaming(false);
@@ -208,6 +103,7 @@ export function useLMStudio() {
         if (isStreaming) return;
 
         const msgs = useAppStore.getState().messages;
+        // Find the last user message
         let lastUserIdx = -1;
         for (let i = msgs.length - 1; i >= 0; i--) {
             if (msgs[i].role === 'user') {
@@ -218,16 +114,18 @@ export function useLMStudio() {
         if (lastUserIdx === -1) return;
 
         const lastUserMsg = msgs[lastUserIdx];
+        // Remove messages after the last user message
         const store = useAppStore.getState();
         store.deleteMessagesAfter(lastUserMsg.id);
 
+        // Build API messages from remaining
         const remaining = useAppStore.getState().messages;
         const apiMessages: ApiMessage[] = [
             { role: 'system', content: SYSTEM_PROMPT },
             ...remaining.map((m) => ({
                 role: m.role,
                 content: m.content,
-            })),
+            }))
         ];
 
         const modelId = useAppStore.getState().activeModelId;

local-ai-database.md

@@ -1,83 +0,0 @@
-# Local AI Database Strategy (LanceDB + SQLite)
-
-## Overview
-A 100% offline-first local database architecture for storing AI memories in a React Native (Expo) application. The solution splits the data into two highly optimized engines:
-1. **`expo-sqlite`**: Manages structured text, sessions, dates, and relationships.
-2. **`LanceDB`**: Manages the high-dimensional vector embeddings, pointed by SQLite relationship IDs.
-
-> [!WARNING] **Architectural Risk (LanceDB on Mobile)**
-> LanceDB relies on robust Apache Arrow and native dependencies. Running it completely on-device in a React Native/Expo environment needs careful validation (e.g., verifying polyfills or WebAssembly compatibility), since most vector DBs are backend/Node.js native.
-
-## Project Type
-**MOBILE** (React Native / Expo)
-
-## Success Criteria
-- [ ] Both databases can correctly initialize on iOS and Android simulators/devices.
-- [ ] A memory string can be successfully indexed (stored in SQLite + embedding stored in LanceDB).
-- [ ] A semantic search query returns the correct related memories locally.
-- [ ] Application does not crash due to native library incompatibilities.
-
-## Tech Stack
-- **`expo-sqlite`**: The official, lightweight SQLite solution for the Expo SDK, providing fully synchronous mapping properties.
-- **`@lancedb/lancedb`** (or equivalent mobile-compatible API): Vector store for fast embedding similarity searches locally.
-- **`zustand`** (Already installed): State management for caching the queries/memories if needed in the UI.
-
-## File Structure
-```
-app/
-  ...
-services/
-  db/
-    sqliteClient.ts      # SQLite connection and raw queries
-    lanceDbClient.ts     # LanceDB vector search and connection
-    memoryService.ts     # Unifies both DBs to create the "AI Memories" logic
-hooks/
-  useAiMemories.ts       # React Hook to expose database queries
-types/
-  database.d.ts          # TS interfaces for Tables and Documents
-```
-
-## Task Breakdown
-
-### Task 1: Environment Research & Setup
-- **Agent**: `mobile-developer`
-- **Skill**: `mobile-design`
-- **INPUT**: Current `package.json`
-- **OUTPUT**: Installation of `expo-sqlite` and LanceDB dependencies. Verified bare React Native compatibility for LanceDB.
-- **VERIFY**: Running a successful `npx expo start` and `npx expo run:android` without build failures.
-
-### Task 2: Database Schema & Layer
-- **Agent**: `database-architect` (simulated by `mobile-developer`)
-- **Skill**: `database-design`
-- **INPUT**: Dependencies installed.
-- **OUTPUT**:
-  - `sqliteClient.ts`: `Sessions`, `Messages`, `Metadata` tables.
-  - `lanceDbClient.ts`: LanceDB table initialization with vector dimensions (e.g. 384 or 1536).
-- **VERIFY**: Launching the app correctly fires the initialization queries (logs "DB Connected").
-
-### Task 3: Unifying Memory Service
-- **Agent**: `mobile-developer`
-- **Skill**: `clean-code`
-- **INPUT**: Initialized Database clients.
-- **OUTPUT**: `memoryService.ts` containing functions like `saveMemory(text, embedding)` and `searchSimilar(embedding, limit)`.
-- **VERIFY**: Hardcoding a mock vector search and getting the SQLite structured data back.
-
-### Task 4: Hook UI Integration
-- **Agent**: `mobile-developer`
-- **Skill**: `mobile-design`
-- **INPUT**: `memoryService.ts` logic.
-- **OUTPUT**: `useAiMemories.ts` hook ready to be plugged into chat components.
-- **VERIFY**: Test components renders data from the DB layer.
-
----
-
-## ✅ PHASE X: Verification Checklist
-
-*To be completed after Phase 4.*
-
-- **Linting:** ⬜ Pass (`npm run lint` & `tsc`)
-- **Build (Android):** ⬜ Pass (`npx expo run:android`)
-- **Build (iOS):** ⬜ Pass (`npx expo run:ios`)
-- **Feature Check:** ⬜ Vector search and relation query works offline.
-- **Color/UI Rules:** ⬜ UI follows standard themes (Not applicable for DB layer but required by protocol).
-- **Date:** TBD

local-search-service/README.md

@@ -1,32 +0,0 @@
-# Local Search Service
-
-This is the background Web Search extraction service for the **LocalAiApp**. It acts as a lightweight proxy and DOM parser that connects your mobile app (React Native) to SearXNG, ensuring the Local AI context is pristine Markdown.
-
-## How it Works
-1. Receives a search query from the LocalAiApp via `POST /search-and-extract`.
-2. Asks your local `SearXNG` instance for the top results.
-3. Fetches the HTML of the resulting pages.
-4. Uses `linkedom` and `Readability` to strip out all menus, footers, scripts, and clutter.
-5. Converts the clean article payload into `Markdown` using `node-html-markdown`.
-6. Returns the pure Markdown text to the LocalAiApp to inject into the AI's prompt.
-
-## Setup
-
-### Requirements
-- Node.js v18+ 
-- A running instance of [SearXNG](https://github.com/searxng/searxng) (running locally at `http://127.0.0.1:8888` by default).
-
-### Running
-
-1. Install dependencies:
-   ```bash
-   npm install
-   ```
-
-2. Start the service (runs on port `3030`):
-   ```bash
-   npm start
-   ```
-
-## Integrations
-Inside the main `LocalAiApp`, the chat input now has a Web Search toggle (the Globe icon). When activated, every prompt sent will first trigger the search service. The service fetches context online and feeds the result as an invisible pre-system-prompt to LM Studio!

local-search-service/package.json

@@ -1,24 +0,0 @@
-{
-  "name": "local-search-service",
-  "version": "1.0.0",
-  "description": "Helper service for LocalAiApp to fetch and extract web context",
-  "scripts": {
-    "start": "ts-node server.ts",
-    "dev": "ts-node server.ts"
-  },
-  "dependencies": {
-    "@mozilla/readability": "^0.5.0",
-    "cors": "^2.8.5",
-    "express": "^4.21.0",
-    "linkedom": "^0.18.5",
-    "node-html-markdown": "^1.3.0"
-  },
-  "devDependencies": {
-    "@types/cors": "^2.8.17",
-    "@types/express": "^5.0.0",
-    "@types/mozilla-readability": "^0.2.1",
-    "@types/node": "^22.0.0",
-    "ts-node": "^10.9.2",
-    "typescript": "^5.6.2"
-  }
-}

local-search-service/server.ts

@@ -1,435 +0,0 @@
-import express, { Request, Response } from 'express';
-import cors from 'cors';
-import { parseHTML } from 'linkedom';
-import { Readability } from '@mozilla/readability';
-import { NodeHtmlMarkdown } from 'node-html-markdown';
-
-const app = express();
-const PORT = process.env.PORT || 3030;
-
-app.use(cors());
-app.use(express.json());
-
-// ─── Logger ────────────────────────────────────────────────────────────────────
-
-type LogLevel = 'INFO' | 'WARN' | 'ERROR' | 'DEBUG';
-
-function log(level: LogLevel, phase: string, message: string, meta?: Record<string, any>) {
-    const ts = new Date().toISOString();
-    const metaStr = meta ? ` | ${JSON.stringify(meta)}` : '';
-    const icons: Record<LogLevel, string> = { INFO: 'ℹ️', WARN: '⚠️', ERROR: '❌', DEBUG: '🔍' };
-    console.log(`[${ts}] ${icons[level]} [${phase}] ${message}${metaStr}`);
-}
-
-function logSection(title: string) {
-    const border = '═'.repeat(60);
-    console.log(`\n${border}`);
-    console.log(`  ${title}`);
-    console.log(`${border}`);
-}
-
-// ─── Helpers ───────────────────────────────────────────────────────────────────
-
-/** Rough token count estimate (~4 chars per token) */
-function estimateTokens(text: string): number {
-    return Math.ceil(text.length / 4);
-}
-
-/**
- * Context Analysis — scores each extracted source by:
- *   - content length (longer = more info)
- *   - keyword overlap with the query
- *   - penalizes sources with very short content (likely failed extractions)
- */
-function scoreSource(
-    source: { title: string; url: string; content: string },
-    query: string,
-): number {
-    const queryWords = query
-        .toLowerCase()
-        .split(/\s+/)
-        .filter((w) => w.length > 3);
-
-    const contentLower = source.content.toLowerCase();
-    const titleLower = source.title.toLowerCase();
-
-    // Keyword relevance: count query words present in content/title
-    const keywordMatches = queryWords.filter(
-        (w) => contentLower.includes(w) || titleLower.includes(w),
-    ).length;
-    const keywordScore = queryWords.length > 0 ? keywordMatches / queryWords.length : 0;
-
-    // Length score (0–1): prefer 500–3000 char range
-    const len = source.content.length;
-    const lengthScore = len < 100 ? 0.1 : len > 500 ? Math.min(1, len / 3000) : 0.5;
-
-    // Penalize if content is just a fallback snippet (very short)
-    const snippetPenalty = len < 200 ? 0.4 : 1.0;
-
-    const total = (keywordScore * 0.6 + lengthScore * 0.4) * snippetPenalty;
-
-    log('DEBUG', 'ContextAnalysis', `Scored source: "${source.title}"`, {
-        url: source.url,
-        contentLength: len,
-        keywordMatches,
-        keywordScore: keywordScore.toFixed(2),
-        lengthScore: lengthScore.toFixed(2),
-        snippetPenalty,
-        totalScore: total.toFixed(3),
-    });
-
-    return total;
-}
-
-/**
- * Intelligent Context Pruning:
- *   1. Sort sources by relevance score (descending).
- *   2. Include full sources one by one until the budget is reached.
- *   3. If a single source already exceeds budget, truncate it at a sentence boundary.
- *   This avoids cutting in the middle of a word / sentence.
- */
-function buildAndPruneContext(
-    sources: Array<{ title: string; url: string; content: string }>,
-    query: string,
-    maxChars: number,
-): { markdown: string; pruned: boolean; keptSources: number; droppedSources: number } {
-    logSection('🧠 Context Analysis & Pruning');
-
-    // Score and rank sources
-    const scored = sources
-        .map((src) => ({ ...src, score: scoreSource(src, query) }))
-        .sort((a, b) => b.score - a.score);
-
-    log('INFO', 'ContextPruning', `Ranked ${scored.length} sources by relevance`, {
-        ranking: scored.map((s, i) => ({
-            rank: i + 1,
-            title: s.title.substring(0, 50),
-            score: s.score.toFixed(3),
-            chars: s.content.length,
-            estimatedTokens: estimateTokens(s.content),
-        })),
-    });
-
-    const header = `# Web Search Context for: "${query}"\n\n`;
-    let markdown = header;
-    let budgetUsed = header.length;
-    let keptSources = 0;
-    let droppedSources = 0;
-    let pruned = false;
-
-    for (const src of scored) {
-        const entry =
-            `## Source ${keptSources + 1}: [${src.title}](${src.url})\n\n` +
-            `${src.content}\n\n` +
-            `---\n\n`;
-
-        if (budgetUsed + entry.length <= maxChars) {
-            markdown += entry;
-            budgetUsed += entry.length;
-            keptSources++;
-            log('INFO', 'ContextPruning', `✅ Included source (budget OK)`, {
-                rank: keptSources,
-                title: src.title.substring(0, 50),
-                entryChars: entry.length,
-                budgetUsed,
-                budgetRemaining: maxChars - budgetUsed,
-            });
-        } else {
-            const remaining = maxChars - budgetUsed;
-
-            if (keptSources === 0 && remaining > 200) {
-                // First source is already too large — truncate at last sentence boundary
-                const entryHeader =
-                    `## Source 1: [${src.title}](${src.url})\n\n`;
-                const contentBudget = remaining - entryHeader.length - 60; // room for suffix
-
-                let truncatedContent = src.content.substring(0, contentBudget);
-                // Find last sentence boundary (. ! ?)
-                const lastSentence = Math.max(
-                    truncatedContent.lastIndexOf('. '),
-                    truncatedContent.lastIndexOf('! '),
-                    truncatedContent.lastIndexOf('? '),
-                    truncatedContent.lastIndexOf('\n'),
-                );
-                if (lastSentence > contentBudget * 0.5) {
-                    truncatedContent = truncatedContent.substring(0, lastSentence + 1);
-                }
-
-                markdown +=
-                    entryHeader +
-                    truncatedContent +
-                    '\n\n...[CONTENT TRUNCATED — token budget exceeded]...\n\n---\n\n';
-                keptSources++;
-                pruned = true;
-                droppedSources = scored.length - keptSources;
-
-                log('WARN', 'ContextPruning', `✂️ Truncated oversized first source at sentence boundary`, {
-                    original: src.content.length,
-                    truncated: truncatedContent.length,
-                    budgetRemaining: remaining,
-                });
-                break;
-            }
-
-            // Drop this source entirely — not enough budget
-            droppedSources++;
-            pruned = true;
-            log('WARN', 'ContextPruning', `🗑️ Dropped source (insufficient budget)`, {
-                title: src.title.substring(0, 50),
-                entryChars: entry.length,
-                budgetRemaining: remaining,
-                score: src.score.toFixed(3),
-            });
-        }
-    }
-
-    return { markdown, pruned, keptSources, droppedSources };
-}
-
-// ─── Main Search Endpoint ──────────────────────────────────────────────────────
-
-app.post('/search-and-extract', async (req: Request, res: Response): Promise<any> => {
-    const requestId = `req_${Date.now().toString(36)}`;
-    const startTime = Date.now();
-
-    try {
-        const {
-            query,
-            searxngUrl = 'http://127.0.0.1:8888',
-            topK = 3,
-            maxContextLength = 8000,
-        } = req.body;
-
-        logSection(`🌍 Web Search Pipeline — [${requestId}]`);
-        log('INFO', 'Request', `Received search request`, {
-            requestId,
-            query,
-            searxngUrl,
-            topK,
-            maxContextLength,
-            estimatedTokenBudget: estimateTokens(String(maxContextLength)),
-        });
-
-        if (!query) {
-            log('WARN', 'Validation', `Rejected: query is missing`, { requestId });
-            return res.status(400).json({ error: 'Query is missing' });
-        }
-
-        // ── Step 1: SearXNG Search ─────────────────────────────────────────────
-        log('INFO', 'SearXNG', `Querying SearXNG...`, { url: searxngUrl, query });
-        const searxStart = Date.now();
-
-        const searchRes = await fetch(
-            `${searxngUrl}/search?q=${encodeURIComponent(query)}&format=json`,
-        );
-
-        const searxLatency = Date.now() - searxStart;
-
-        if (!searchRes.ok) {
-            log('ERROR', 'SearXNG', `Search failed`, {
-                status: searchRes.status,
-                latencyMs: searxLatency,
-            });
-            throw new Error(
-                `SearXNG search failed. Status: ${searchRes.status}. ` +
-                `Make sure SearXNG is running and 'json' format is enabled in settings.yml.`,
-            );
-        }
-
-        const searchData = await searchRes.json();
-        const results = searchData.results || [];
-        const topResults = results.slice(0, topK).filter((r: any) => r.url);
-
-        log('INFO', 'SearXNG', `Search complete`, {
-            requestId,
-            latencyMs: searxLatency,
-            totalResultsFound: results.length,
-            processingTopK: topResults.length,
-            urls: topResults.map((r: any) => r.url),
-        });
-
-        // ── Step 2: Page Extraction (parallel) ────────────────────────────────
-        // All pages are fetched concurrently with Promise.allSettled so a single
-        // slow or failing page never blocks the others.
-        logSection('📄 Page Extraction (parallel)');
-        log('INFO', 'Extractor', `Starting parallel fetch for ${topResults.length} pages`, {
-            urls: topResults.map((r: any) => r.url),
-        });
-
-        async function extractPage(result: any): Promise<{
-            ctx: { title: string; url: string; content: string } | null;
-            stat: Record<string, any>;
-        }> {
-            const pageStart = Date.now();
-            log('INFO', 'Extractor', `Fetching page...`, { url: result.url });
-
-            try {
-                const controller = new AbortController();
-                const timeoutId = setTimeout(() => controller.abort(), 8000);
-
-                const pageRes = await fetch(result.url, {
-                    signal: controller.signal,
-                    headers: { 'User-Agent': 'Mozilla/5.0 (compatible; LocalSearchBot/1.0)' },
-                });
-                clearTimeout(timeoutId);
-
-                const pageLatency = Date.now() - pageStart;
-
-                if (!pageRes.ok) {
-                    log('WARN', 'Extractor', `Skipping page — bad HTTP status`, {
-                        url: result.url,
-                        status: pageRes.status,
-                        latencyMs: pageLatency,
-                    });
-                    return { ctx: null, stat: { url: result.url, status: 'skipped', reason: `HTTP ${pageRes.status}`, latencyMs: pageLatency } };
-                }
-
-                const html = await pageRes.text();
-                const htmlSize = html.length;
-
-                // ── Readability Extraction ──────────────────────────────────────
-                const { document } = parseHTML(html);
-                const reader = new Readability(document as any);
-                const article = reader.parse();
-
-                if (!article || !article.content) {
-                    log('WARN', 'Extractor', `Readability failed — using snippet fallback`, {
-                        url: result.url,
-                        htmlSizeChars: htmlSize,
-                        latencyMs: pageLatency,
-                    });
-                    const fallbackContent = result.content || 'Content could not be parsed.';
-                    return {
-                        ctx: { title: result.title || 'Unknown', url: result.url, content: fallbackContent },
-                        stat: { url: result.url, status: 'fallback_snippet', contentChars: fallbackContent.length, latencyMs: pageLatency },
-                    };
-                }
-
-                // ── HTML → Markdown ─────────────────────────────────────────────
-                const markdown = NodeHtmlMarkdown.translate(article.content);
-                const pageLatencyFinal = Date.now() - pageStart;
-
-                log('INFO', 'Extractor', `✅ Extracted successfully`, {
-                    url: result.url,
-                    title: (article.title || result.title).substring(0, 60),
-                    htmlSizeChars: htmlSize,
-                    markdownChars: markdown.length,
-                    estimatedTokens: estimateTokens(markdown),
-                    latencyMs: pageLatencyFinal,
-                });
-
-                return {
-                    ctx: { title: article.title || result.title, url: result.url, content: markdown },
-                    stat: { url: result.url, status: 'success', htmlChars: htmlSize, markdownChars: markdown.length, estimatedTokens: estimateTokens(markdown), latencyMs: pageLatencyFinal },
-                };
-            } catch (err: any) {
-                const pageLatency = Date.now() - pageStart;
-                const isTimeout = err.name === 'AbortError';
-                log('ERROR', 'Extractor', `Failed to process page`, {
-                    url: result.url,
-                    error: err.message,
-                    isTimeout,
-                    latencyMs: pageLatency,
-                });
-                return { ctx: null, stat: { url: result.url, status: isTimeout ? 'timeout' : 'error', error: err.message, latencyMs: pageLatency } };
-            }
-        }
-
-        // Run all extractions in parallel
-        const parallelStart = Date.now();
-        const settled = await Promise.allSettled(topResults.map((r: any) => extractPage(r)));
-        const parallelLatency = Date.now() - parallelStart;
-
-        const extractedContexts: Array<{ title: string; url: string; content: string }> = [];
-        const extractionStats: Array<Record<string, any>> = [];
-
-        for (const result of settled) {
-            if (result.status === 'fulfilled') {
-                if (result.value.ctx) extractedContexts.push(result.value.ctx);
-                extractionStats.push(result.value.stat);
-            } else {
-                // Promise itself rejected (shouldn't happen since extractPage catches internally)
-                extractionStats.push({ status: 'unexpected_rejection', error: result.reason?.message });
-            }
-        }
-
-        log('INFO', 'Extractor', `Extraction phase complete (parallel)`, {
-            requestId,
-            parallelLatencyMs: parallelLatency,
-            attempted: topResults.length,
-            succeeded: extractedContexts.length,
-            failed: topResults.length - extractedContexts.length,
-            extractionStats,
-        });
-
-        // ── Step 3: Context Analysis + Intelligent Pruning ────────────────────
-        const totalRawChars = extractedContexts.reduce((sum, c) => sum + c.content.length, 0);
-        const totalRawTokens = estimateTokens(totalRawChars.toString()) * 4; // rough
-
-        log('INFO', 'ContextAnalysis', `Pre-pruning context stats`, {
-            requestId,
-            sources: extractedContexts.length,
-            totalRawChars,
-            estimatedRawTokens: estimateTokens(extractedContexts.reduce((s, c) => s + c.content, '')),
-            maxContextLength,
-            maxContextTokensEstimate: estimateTokens('x'.repeat(maxContextLength)),
-            pruningNeeded: totalRawChars > maxContextLength,
-        });
-
-        const { markdown: combinedMarkdown, pruned, keptSources, droppedSources } =
-            buildAndPruneContext(extractedContexts, query, maxContextLength);
-
-        // ── Step 4: Final Stats & Response ────────────────────────────────────
-        const totalLatency = Date.now() - startTime;
-        const finalChars = combinedMarkdown.length;
-        const finalTokens = estimateTokens(combinedMarkdown);
-
-        logSection('📤 Pipeline Complete');
-        log('INFO', 'Response', `Sending context to LocalAiApp`, {
-            requestId,
-            query,
-            totalPipelineLatencyMs: totalLatency,
-            searxLatencyMs: searxLatency,
-            finalContextChars: finalChars,
-            finalContextEstimatedTokens: finalTokens,
-            sourcesKept: keptSources,
-            sourcesDropped: droppedSources,
-            pruned,
-            sourceTitles: extractedContexts.map((c) => c.title.substring(0, 50)),
-        });
-
-        console.log(`${'═'.repeat(60)}\n`);
-
-        return res.json({
-            success: true,
-            context: combinedMarkdown,
-            sources: extractedContexts.map((c) => ({ title: c.title, url: c.url })),
-            meta: {
-                requestId,
-                totalLatencyMs: totalLatency,
-                finalContextChars: finalChars,
-                finalContextEstimatedTokens: finalTokens,
-                sourcesKept: keptSources,
-                sourcesDropped: droppedSources,
-                pruned,
-            },
-        });
-    } catch (error: any) {
-        const totalLatency = Date.now() - startTime;
-        log('ERROR', 'Fatal', `Pipeline failed`, {
-            requestId,
-            error: error.message,
-            stack: error.stack?.split('\n').slice(0, 5),
-            totalLatencyMs: totalLatency,
-        });
-        return res.status(500).json({ error: error.message, requestId });
-    }
-});
-
-app.listen(Number(PORT), '0.0.0.0', () => {
-    log('INFO', 'Server', `Local Search Service started`, {
-        port: PORT,
-        address: `http://0.0.0.0:${PORT}`,
-        endpoints: ['/search-and-extract'],
-    });
-});

pnpm-lock.yaml

@@ -8,18 +8,9 @@ importers:
 
   .:
     dependencies:
-      '@babel/plugin-transform-runtime':
-        specifier: ^7.29.0
-        version: 7.29.0(@babel/[email protected])
-      '@babel/runtime':
-        specifier: ^7.28.6
-        version: 7.28.6
       '@expo/vector-icons':
         specifier: ^15.0.3
         version: 15.1.1([email protected]([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]))([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
-      '@react-native-async-storage/async-storage':
-        specifier: 2.2.0
-        version: 2.2.0([email protected](@babel/[email protected])(@types/[email protected])([email protected]))
       '@react-navigation/bottom-tabs':
         specifier: ^7.4.0
         version: 7.15.5(@react-navigation/[email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]))([email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]))([email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]))([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
@@ -29,15 +20,9 @@ importers:
       '@react-navigation/native':
         specifier: ^7.1.8
         version: 7.1.33([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
-      '@ronradtke/react-native-markdown-display':
-        specifier: ^8.1.0
-        version: 8.1.0([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
       expo:
         specifier: ~54.0.31
         version: 54.0.33(@babel/[email protected])(@expo/[email protected])([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
-      expo-clipboard:
-        specifier: ^55.0.8
-        version: 55.0.9([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
       expo-constants:
         specifier: ~18.0.13
         version: 18.0.13([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))
@@ -71,14 +56,8 @@ importers:
       expo-web-browser:
         specifier: ~15.0.10
         version: 15.0.10([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))
-      immer:
-        specifier: ^11.1.4
-        version: 11.1.4
-      lucide-react-native:
-        specifier: ^0.576.0
-        version: 0.576.0([email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]))([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
       react:
-        specifier: ^19.1.0
+        specifier: 19.1.0
         version: 19.1.0
       react-dom:
         specifier: 19.1.0
@@ -98,24 +77,12 @@ importers:
       react-native-screens:
         specifier: ~4.16.0
         version: 4.16.0([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
-      react-native-sse:
-        specifier: ^1.2.1
-        version: 1.2.1
-      react-native-svg:
-        specifier: 15.12.1
-        version: 15.12.1([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
       react-native-web:
         specifier: ~0.21.0
         version: 0.21.2([email protected]([email protected]))([email protected])
       react-native-worklets:
         specifier: 0.5.1
         version: 0.5.1(@babel/[email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
-      use-sync-external-store:
-        specifier: ^1.6.0
-        version: 1.6.0([email protected])
-      zustand:
-        specifier: ^5.0.11
-        version: 5.0.12(@types/[email protected])([email protected])([email protected])([email protected]([email protected]))
     devDependencies:
       '@types/react':
         specifier: ~19.1.0
@@ -1120,11 +1087,6 @@ packages:
       '@types/react':
         optional: true
 
-  '@react-native-async-storage/[email protected]':
-    resolution: {integrity: sha512-gvRvjR5JAaUZF8tv2Kcq/Gbt3JHwbKFYfmb445rhOj6NUMx3qPLixmDx5pZAyb9at1bYvJ4/eTUipU5aki45xw==}
-    peerDependencies:
-      react-native: ^0.0.0-0 || >=0.65 <1.0
-
   '@react-native/[email protected]':
     resolution: {integrity: sha512-705B6x/5Kxm1RKRvSv0ADYWm5JOnoiQ1ufW7h8uu2E6G9Of/eE6hP/Ivw3U5jI16ERqZxiKQwk34VJbB0niX9w==}
     engines: {node: '>= 20.19.4'}
@@ -1234,12 +1196,6 @@ packages:
   '@react-navigation/[email protected]':
     resolution: {integrity: sha512-1tJHg4KKRJuQ1/EvJxatrMef3NZXEPzwUIUZ3n1yJ2t7Q97siwRtbynRpQG9/69ebbtiZ8W3ScOZF/OmhvM4Rg==}
 
-  '@ronradtke/[email protected]':
-    resolution: {integrity: sha512-pAtefWI76vpkxsEgIFivyq1q6ej8rDyR7oVM/cWAxUydyBej9LOvULjLAeFuFLbYAelHTNoYXmGxQOlFLBa0+w==}
-    peerDependencies:
-      react: '>=16.2.0'
-      react-native: '>=0.50.4'
-
   '@rtsao/[email protected]':
     resolution: {integrity: sha512-zt6OdqaDoOnJ1ZYsCYGt9YmWzDXl4vQdKTyJev62gFhRGKdx7mcT54V9KIjg+d2wi9EXsPvAPKe7i7WjfVWB8g==}
 
@@ -1692,9 +1648,6 @@ packages:
     resolution: {integrity: sha512-QxD8cf2eVqJOOz63z6JIN9BzvVs/dlySa5HGSBH5xtR8dPteIRQnBxxKqkNTiT6jbDTF6jAfrd4oMcND9RGbQg==}
     engines: {node: '>=0.6'}
 
-  [email protected]:
-    resolution: {integrity: sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==}
-
   [email protected]:
     resolution: {integrity: sha512-sXaHZicyEEmY86WyueLTQesbeoH/mquvarJaQNbjuOQO+7gbFcDEWqKmcWA4cOTLzFlfgvkiVxolk1k5bBIpmg==}
 
@@ -1762,9 +1715,6 @@ packages:
     resolution: {integrity: sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==}
     engines: {node: '>=10'}
 
-  [email protected]:
-    resolution: {integrity: sha512-dU+Tx2fsypxTgtLoE36npi3UqcjSSMNYfkqgmoEhtZrraP5VWq0K7FkWVTYa8eMPtnU/G2txVsfdCJTn9uzpuQ==}
-
   [email protected]:
     resolution: {integrity: sha512-sg01JDPzZ9jGshqKSckOQthXnYwOEP50jeVFhaSFbZcOy05TiuuaffDOfcwtCisJ9kNQuLBFibYywv2Bgm9osw==}
 
@@ -1877,27 +1827,9 @@ packages:
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     engines: {node: '>= 8'}
 
-  [email protected]:
-    resolution: {integrity: sha512-FyyrDHZKEjXDpNJYvVsV960FiqQyXc/LlYmsxl2BcdMb2WPx0OGRVgTg55rPSyLSNMqP52R9r8geSp7apN3Ofg==}
-    engines: {node: '>=4'}
-
   [email protected]:
     resolution: {integrity: sha512-fJAcud6B3rRu+KHYk+Bwf+WFL2MDCJJ1XG9x137tJQ0xYxor7XziQtuGFbWNdqrvF4Tk26O3H73nfVqXt/fW1A==}
 
-  [email protected]:
-    resolution: {integrity: sha512-TizTzUddG/xYLA3NXodFM0fSbNizXjOKhqiQQwvhlspadZokn1KDy0NZFS0wuEubIYAV5/c1/lAr0TaaFXEXzw==}
-
-  [email protected]:
-    resolution: {integrity: sha512-e8RKaLXMOFii+02mOlqwjbD00KSEKqblnpO9e++1aXS1fPQOpS1YoqdVHBqPjHNoxeF2mimzVqawm2KCbEdtHQ==}
-
-  [email protected]:
-    resolution: {integrity: sha512-tRpdppF7TRazZrjJ6v3stzv93qxRcSsFmW6cX0Zm2NVKpxE1WV1HblnghVv9TreireHkqI/VDEsfolRF1p6y7Q==}
-    engines: {node: '>=8.0.0'}
-
-  [email protected]:
-    resolution: {integrity: sha512-u/O3vwbptzhMs3L1fQE82ZSLHQQfto5gyZzwteVIEyeaY5Fc7R4dapF/BvRoSYFeqfBk4m0V1Vafq5Pjv25wvA==}
-    engines: {node: '>= 6'}
-
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     resolution: {integrity: sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ==}
 
@@ -1987,19 +1919,6 @@ packages:
     resolution: {integrity: sha512-35mSku4ZXK0vfCuHEDAwt55dg2jNajHZ1odvF+8SSr82EsZY4QmXfuWso8oEd8zRhVObSN18aM0CjSdoBX7zIw==}
     engines: {node: '>=0.10.0'}
 
-  [email protected]:
-    resolution: {integrity: sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==}
-
-  [email protected]:
-    resolution: {integrity: sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==}
-
-  [email protected]:
-    resolution: {integrity: sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==}
-    engines: {node: '>= 4'}
-
-  [email protected]:
-    resolution: {integrity: sha512-6kZKyUajlDuqlHKVX1w7gyslj9MPIXzIFiz/rGu35uC1wMi+kMhQwGhl4lt9unC9Vb9INnY9Z3/ZA3+FhASLaw==}
-
   [email protected]:
     resolution: {integrity: sha512-zIHwmZPRshsCdpMDyVsqGmgyP0yT8GAgXUnkdAoJisxvf33k7yO6OuoKmcTGuXPWSsm8Oh88nZicRLA9Y0rUeA==}
     engines: {node: '>=12'}
@@ -2029,14 +1948,6 @@ packages:
     resolution: {integrity: sha512-Q0n9HRi4m6JuGIV1eFlmvJB7ZEVxu93IrMyiMsGC0lrMJMWzRgx6WGquyfQgZVb31vhGgXnfmPNNXmxnOkRBrg==}
     engines: {node: '>= 0.8'}
 
-  [email protected]:
-    resolution: {integrity: sha512-WiyBqoomrwMdFG1e0kqvASYfnlb0lp8M5o5Fw2OFq1hNZxxcNk8Ik0Xm7LxzBhuidnZB/UtBqVCgUz3kBOP51Q==}
-    engines: {node: '>=0.12'}
-
-  [email protected]:
-    resolution: {integrity: sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==}
-    engines: {node: '>=0.12'}
-
   [email protected]:
     resolution: {integrity: sha512-ObFo8v4rQJAE59M69QzwloxPZtd33TpYEIjtKD1rrFDcM1Gd7IkDxEBU+HriziN6HSHQnBJi8Dmy+JWkav5HKA==}
     engines: {node: '>=8'}
@@ -2231,13 +2142,6 @@ packages:
       react: '*'
       react-native: '*'
 
-  [email protected]:
-    resolution: {integrity: sha512-WJ9ougE8fEDu3/RV5Vz3gE5aNgnj1C0WByXCz3WUj8y/06bJyaIUDMq8FDLv3n0AO3guiErmkUunsD0EzSDUUw==}
-    peerDependencies:
-      expo: '*'
-      react: '*'
-      react-native: '*'
-
   [email protected]:
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@@ -3593,15 +3460,6 @@ packages:
       react: '*'
       react-native: '*'
 
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     hasBin: true
 
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     engines: {node: '>=10'}
 
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-    resolution: {integrity: sha512-i77ae3aZq4dhMlRhJVCYgMLKuSiZAaUPAct2AksxQ+gOtimhGMdXljRT21P5BNpeT4kXlLIckvkPM029OljD7g==}
-    engines: {node: '>=12.20.0'}
-    peerDependencies:
-      '@types/react': '>=18.0.0'
-      immer: '>=9.0.6'
-      react: '>=18.0.0'
-      use-sync-external-store: '>=1.2.0'
-    peerDependenciesMeta:
-      '@types/react':
-        optional: true
-      immer:
-        optional: true
-      react:
-        optional: true
-      use-sync-external-store:
-        optional: true
-
 snapshots:
 
   '@0no-co/[email protected]': {}
@@ -5648,11 +5485,6 @@ snapshots:
     optionalDependencies:
       '@types/react': 19.1.17
 
-  '@react-native-async-storage/[email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))':
-    dependencies:
-      merge-options: 3.0.4
-      react-native: 0.81.5(@babel/[email protected])(@types/[email protected])([email protected])
-
   '@react-native/[email protected]': {}
 
   '@react-native/[email protected](@babel/[email protected])':
@@ -5837,15 +5669,6 @@ snapshots:
     dependencies:
       nanoid: 3.3.11
 
-  '@ronradtke/[email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])':
-    dependencies:
-      css-to-react-native: 3.2.0
-      markdown-it: 13.0.2
-      prop-types: 15.8.1
-      react: 19.1.0
-      react-native: 0.81.5(@babel/[email protected])(@types/[email protected])([email protected])
-      react-native-fit-image: 1.5.5
-
   '@rtsao/[email protected]': {}
 
   '@sinclair/[email protected]': {}
@@ -6374,8 +6197,6 @@ snapshots:
 
   [email protected]: {}
 
-  [email protected]: {}
-
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     dependencies:
       stream-buffers: 2.2.0
@@ -6449,8 +6270,6 @@ snapshots:
 
   [email protected]: {}
 
-  [email protected]: {}
-
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   [email protected]:
@@ -6581,33 +6400,10 @@ snapshots:
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       which: 2.0.2
 
-  [email protected]: {}
-
   [email protected]:
     dependencies:
       hyphenate-style-name: 1.1.0
 
-  [email protected]:
-    dependencies:
-      boolbase: 1.0.0
-      css-what: 6.2.2
-      domhandler: 5.0.3
-      domutils: 3.2.2
-      nth-check: 2.1.1
-
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-    dependencies:
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-      css-color-keywords: 1.0.0
-      postcss-value-parser: 4.2.0
-
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-    dependencies:
-      mdn-data: 2.0.14
-      source-map: 0.6.1
-
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   [email protected]:
@@ -6678,24 +6474,6 @@ snapshots:
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       esutils: 2.0.3
 
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-    dependencies:
-      domelementtype: 2.3.0
-      domhandler: 5.0.3
-      entities: 4.5.0
-
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-
-  [email protected]:
-    dependencies:
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-
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-    dependencies:
-      dom-serializer: 2.0.0
-      domelementtype: 2.3.0
-      domhandler: 5.0.3
-
   [email protected]:
     dependencies:
       dotenv: 16.4.7
@@ -6718,10 +6496,6 @@ snapshots:
 
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-  [email protected]: {}
-
-  [email protected]: {}
-
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   [email protected]:
@@ -7038,12 +6812,6 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  [email protected]([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]):
-    dependencies:
-      expo: 54.0.33(@babel/[email protected])(@expo/[email protected])([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
-      react: 19.1.0
-      react-native: 0.81.5(@babel/[email protected])(@types/[email protected])([email protected])
-
   [email protected]([email protected])([email protected](@babel/[email protected])(@types/[email protected])([email protected])):
     dependencies:
       '@expo/config': 12.0.13
@@ -7469,8 +7237,6 @@ snapshots:
     dependencies:
       queue: 6.0.2
 
-  [email protected]: {}
-
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     dependencies:
       parent-module: 1.0.1
@@ -7580,8 +7346,6 @@ snapshots:
 
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-  [email protected]: {}
-
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     dependencies:
       call-bound: 1.0.4
@@ -7831,10 +7595,6 @@ snapshots:
 
   [email protected]: {}
 
-  [email protected]:
-    dependencies:
-      uc.micro: 1.0.6
-
   [email protected]:
     dependencies:
       p-locate: 4.1.0
@@ -7865,40 +7625,18 @@ snapshots:
     dependencies:
       yallist: 3.1.1
 
-  [email protected]([email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]))([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]):
-    dependencies:
-      react: 19.1.0
-      react-native: 0.81.5(@babel/[email protected])(@types/[email protected])([email protected])
-      react-native-svg: 15.12.1([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
-
   [email protected]:
     dependencies:
       tmpl: 1.0.5
 
-  [email protected]:
-    dependencies:
-      argparse: 2.0.1
-      entities: 3.0.1
-      linkify-it: 4.0.1
-      mdurl: 1.0.1
-      uc.micro: 1.0.6
-
   [email protected]: {}
 
   [email protected]: {}
 
-  [email protected]: {}
-
-  [email protected]: {}
-
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   [email protected]: {}
 
-  [email protected]:
-    dependencies:
-      is-plain-obj: 2.1.0
-
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   [email protected]:
@@ -8343,10 +8081,6 @@ snapshots:
       semver: 7.7.4
       validate-npm-package-name: 5.0.1
 
-  [email protected]:
-    dependencies:
-      boolbase: 1.0.0
-
   [email protected]: {}
 
   [email protected]:
@@ -8603,10 +8337,6 @@ snapshots:
 
   [email protected]: {}
 
-  [email protected]:
-    dependencies:
-      prop-types: 15.8.1
-
   [email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]):
     dependencies:
       '@egjs/hammerjs': 2.0.17
@@ -8642,16 +8372,6 @@ snapshots:
       react-native-is-edge-to-edge: 1.3.1([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected])
       warn-once: 0.1.1
 
-  [email protected]: {}
-
-  [email protected]([email protected](@babel/[email protected])(@types/[email protected])([email protected]))([email protected]):
-    dependencies:
-      css-select: 5.2.2
-      css-tree: 1.1.3
-      react: 19.1.0
-      react-native: 0.81.5(@babel/[email protected])(@types/[email protected])([email protected])
-      warn-once: 0.1.1
-
   [email protected]([email protected]([email protected]))([email protected]):
     dependencies:
       '@babel/runtime': 7.28.6
@@ -9253,8 +8973,6 @@ snapshots:
 
   [email protected]: {}
 
-  [email protected]: {}
-
   [email protected]:
     dependencies:
       call-bound: 1.0.4
@@ -9487,10 +9205,3 @@ snapshots:
       yargs-parser: 21.1.1
 
   [email protected]: {}
-
-  [email protected](@types/[email protected])([email protected])([email protected])([email protected]([email protected])):
-    optionalDependencies:
-      '@types/react': 19.1.17
-      immer: 11.1.4
-      react: 19.1.0
-      use-sync-external-store: 1.6.0([email protected])

services/webSearchLogger.ts

@@ -1,190 +0,0 @@
-/**
- * webSearchLogger.ts
- * Centralized structured logger for the web search pipeline on the client side.
- * Outputs consistently formatted, emoji-tagged logs to the React Native / Metro console.
- */
-
-type LogLevel = 'INFO' | 'WARN' | 'ERROR' | 'DEBUG';
-
-const ICONS: Record<LogLevel, string> = {
-    INFO: 'ℹ️ ',
-    WARN: '⚠️ ',
-    ERROR: '❌',
-    DEBUG: '🔍',
-};
-
-function formatMeta(meta?: Record<string, any>): string {
-    if (!meta) return '';
-    try {
-        return '\n  ' + JSON.stringify(meta, null, 2).replace(/\n/g, '\n  ');
-    } catch {
-        return '';
-    }
-}
-
-function log(level: LogLevel, phase: string, message: string, meta?: Record<string, any>) {
-    const ts = new Date().toISOString();
-    const metaStr = formatMeta(meta);
-    const prefix = `[${ts}] ${ICONS[level]} [WebSearch/${phase}]`;
-    const fullMsg = `${prefix} ${message}${metaStr}`;
-
-    switch (level) {
-        case 'ERROR':
-            console.error(fullMsg);
-            break;
-        case 'WARN':
-            console.warn(fullMsg);
-            break;
-        default:
-            console.log(fullMsg);
-    }
-}
-
-function logSection(title: string) {
-    const border = '─'.repeat(55);
-    console.log(`\n${border}`);
-    console.log(`  ${title}`);
-    console.log(`${border}`);
-}
-
-/** Rough tokens estimate (~4 chars per token) */
-function estimateTokens(text: string): number {
-    return Math.ceil(text.length / 4);
-}
-
-// ─── Public API ────────────────────────────────────────────────────────────────
-
-export const WebSearchLogger = {
-    pipelineStart(query: string, searchEndpoint: string) {
-        logSection(`🚀 Web Search Pipeline Started`);
-        log('INFO', 'Init', `New search initiated`, {
-            query,
-            searchEndpoint,
-            timestamp: new Date().toISOString(),
-        });
-    },
-
-    endpointResolved(host: string, port: number, searchEndpoint: string) {
-        log('INFO', 'Endpoint', `Search service URL resolved`, {
-            lmStudioHost: host,
-            lmStudioPort: port,
-            searchServiceEndpoint: searchEndpoint,
-        });
-    },
-
-    requestSent(query: string, maxContextLength: number, timeoutMs = 30000) {
-        log('INFO', 'Request', `Sending search request to local service`, {
-            query,
-            maxContextLength,
-            estimatedTokenBudget: estimateTokens('x'.repeat(maxContextLength)),
-            timeoutMs,
-        });
-    },
-
-    requestFailed(status: number, statusText: string) {
-        log('ERROR', 'Request', `Search service returned error`, {
-            httpStatus: status,
-            statusText,
-        });
-    },
-
-    serviceUnreachable(error: unknown, isTimeout = false) {
-        const err = error instanceof Error ? error : new Error(String(error));
-        const isConnectionRefused =
-            err.message.includes('Network request failed') ||
-            err.message.includes('ECONNREFUSED') ||
-            err.message.includes('Connection refused');
-
-        const message = isTimeout
-            ? `Search service timeout (30s) — service may be overloaded or unreachable`
-            : isConnectionRefused
-            ? `Search service is NOT running — connection refused`
-            : `Cannot reach local search service`;
-
-        log('ERROR', 'Request', message, {
-            error: err.message,
-            isTimeout,
-            isConnectionRefused,
-            diagnosis: isConnectionRefused
-                ? 'The local-search-service Node.js process is not running on this machine'
-                : isTimeout
-                ? 'Service is running but not responding within 30s (SearXNG may be slow)'
-                : 'Unknown network error',
-            hint: 'Run: cd local-search-service && npx ts-node server.ts',
-        });
-    },
-
-    contextReceived(
-        context: string,
-        sources: Array<{ title: string; url: string }>,
-        meta?: {
-            requestId?: string;
-            totalLatencyMs?: number;
-            finalContextChars?: number;
-            finalContextEstimatedTokens?: number;
-            sourcesKept?: number;
-            sourcesDropped?: number;
-            pruned?: boolean;
-        },
-    ) {
-        logSection(`✅ Context Received from Search Service`);
-        log('INFO', 'Context', `Web search context ready`, {
-            contextChars: context.length,
-            estimatedTokens: estimateTokens(context),
-            sourcesReceived: sources.length,
-            sourceTitles: sources.map((s) => s.title.substring(0, 60)),
-            sourceUrls: sources.map((s) => s.url),
-            ...(meta ?? {}),
-        });
-    },
-
-    contextAnalysis(systemPromptChars: number, historyChars: number, searchContextChars: number) {
-        logSection(`🧠 Context Window Analysis`);
-        const totalChars = systemPromptChars + historyChars + searchContextChars;
-        const totalTokens = estimateTokens('x'.repeat(totalChars));
-        log('INFO', 'Analysis', `Total context before sending to LLM`, {
-            systemPromptChars,
-            systemPromptTokens: estimateTokens('x'.repeat(systemPromptChars)),
-            chatHistoryChars: historyChars,
-            chatHistoryTokens: estimateTokens('x'.repeat(historyChars)),
-            searchContextChars,
-            searchContextTokens: estimateTokens('x'.repeat(searchContextChars)),
-            totalChars,
-            estimatedTotalTokens: totalTokens,
-            note: 'Token estimates are approximate (~4 chars/token). Actual tokenization varies by model.',
-        });
-    },
-
-    llmRequestStart(model: string, messageCount: number) {
-        logSection(`🤖 LLM Request`);
-        log('INFO', 'LLM', `Sending messages to LM Studio`, {
-            model,
-            totalMessages: messageCount,
-            streamingEnabled: true,
-        });
-    },
-
-    llmStreamComplete(assistantMessageId: string, chunkCount?: number) {
-        log('INFO', 'LLM', `Stream complete — response generated`, {
-            assistantMessageId,
-            ...(chunkCount !== undefined ? { chunkCount } : {}),
-        });
-    },
-
-    llmError(error: Error) {
-        log('ERROR', 'LLM', `LLM stream error`, {
-            error: error.message,
-            stack: error.stack?.split('\n').slice(0, 3).join(' | '),
-        });
-    },
-
-    pipelineComplete(query: string, totalLatencyMs: number, withSearch: boolean) {
-        logSection(`🏁 Pipeline Complete`);
-        log('INFO', 'Done', `Full request cycle finished`, {
-            query,
-            totalLatencyMs,
-            webSearchUsed: withSearch,
-        });
-        console.log('─'.repeat(55) + '\n');
-    },
-};

store/useAppStore.ts

@@ -49,10 +49,6 @@ interface AppState {
     isStreaming: boolean;
     setIsStreaming: (streaming: boolean) => void;
 
-    // Web Search
-    isWebSearchEnabled: boolean;
-    setIsWebSearchEnabled: (enabled: boolean) => void;
-
     // Edit mode
     editingMessageId: string | null;
     setEditingMessageId: (id: string | null) => void;
@@ -123,9 +119,6 @@ export const useAppStore = create<AppState>()(
             isStreaming: false,
             setIsStreaming: (isStreaming) => set({ isStreaming }),
 
-            isWebSearchEnabled: false,
-            setIsWebSearchEnabled: (isWebSearchEnabled) => set({ isWebSearchEnabled }),
-
             editingMessageId: null,
             setEditingMessageId: (editingMessageId) => set({ editingMessageId }),
 
@@ -178,7 +171,6 @@ export const useAppStore = create<AppState>()(
                 chatSessions: state.chatSessions,
                 messages: state.messages,
                 currentChatId: state.currentChatId,
-                isWebSearchEnabled: state.isWebSearchEnabled,
             }),
         }
     )