Add multi-model download: Gemma 3n E4B (recommended), E2B, Gemma 2B

- ModelSpec enum with 3 downloadable options from MediaPipe CDN - Gemma 3n E4B set as recommended default (best coding/reasoning via MoE) - Gemma 3n E2B as faster/smaller alternative - Gemma 2B kept as lightest option - UI shows all 3 download buttons, hides all once any model is installed - Installed model name shown in status (e.g. "✓ Gemma 3n E4B ready") - Custom models (DeepSeek Coder, Qwen2.5-Coder) can be manually placed in files dir Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
Fix background inference: MediaPipe-first, in-app model downloader
2026-02-28 22:25:49 +01:00 · 2026-02-28 22:19:14 +01:00 · 2026-02-28 22:03:32 +01:00 · 2026-02-28 21:58:21 +01:00 · 2026-02-28 21:49:16 +01:00 · 2026-02-28 21:45:31 +01:00
21 changed files with 127 additions and 909 deletions
@@ -30,7 +30,7 @@ jobs:
          key: gradle-${{ hashFiles('**/*.gradle*', '**/gradle-wrapper.properties') }}
          restore-keys: gradle-

-      - name: Build signed APK
+      - name: Build debug APK
        run: ./gradlew assembleDebug --no-daemon

      - name: Rename APK with version tag
@@ -15,5 +15,3 @@ local.properties
 *.bin
 *.task
 *.tflite
-*.keystore
-*.jks
@@ -11,25 +11,8 @@ android {
        applicationId = "com.pixel10.ai"
        minSdk = 31
        targetSdk = 35
-        versionCode = 8
-        versionName = "1.8.0"
-    }
-
-    val localProps = rootProject.file("local.properties")
-    val props = java.util.Properties().apply {
-        if (localProps.exists()) load(localProps.inputStream())
-    }
-    val keystoreFile = rootProject.file(props.getProperty("KEYSTORE_FILE", "pixel10.keystore"))
-
-    signingConfigs {
-        create("release") {
-            if (keystoreFile.exists() && props.containsKey("KEYSTORE_PASSWORD")) {
-                storeFile = keystoreFile
-                storePassword = props.getProperty("KEYSTORE_PASSWORD")
-                keyAlias = props.getProperty("KEY_ALIAS", "pixel10")
-                keyPassword = props.getProperty("KEY_PASSWORD")
-            }
-        }
+        versionCode = 1
+        versionName = "1.0.0"
    }

    buildTypes {
@@ -39,16 +22,6 @@ android {
                getDefaultProguardFile("proguard-android-optimize.txt"),
                "proguard-rules.pro"
            )
-            val releaseSigning = signingConfigs.getByName("release")
-            if (releaseSigning.storeFile != null) {
-                signingConfig = releaseSigning
-            }
-        }
-        debug {
-            val releaseSigning = signingConfigs.getByName("release")
-            if (releaseSigning.storeFile != null) {
-                signingConfig = releaseSigning
-            }
        }
    }

@@ -78,12 +51,9 @@ dependencies {
    // ML Kit GenAI — Gemini Nano via AICore (recommended for Pixel 10)
    implementation("com.google.mlkit:genai-prompt:1.0.0-beta1")

-    // MediaPipe LLM Inference — legacy fallback for .task/.bin models
+    // MediaPipe LLM Inference — for custom models (Gemma, etc.)
    implementation("com.google.mediapipe:tasks-genai:0.10.24")

-    // LiteRT-LM — primary backend for Gemma 3n .litertlm models
-    implementation("com.google.ai.edge.litertlm:litertlm-android:0.9.0-alpha05")
-
    // Embedded HTTP server
    implementation("org.nanohttpd:nanohttpd:2.3.1")

@@ -27,11 +27,6 @@
        android:networkSecurityConfig="@xml/network_security_config"
        android:theme="@style/Theme.Pixel10AI">

-        <activity
-            android:name=".ui.ChatActivity"
-            android:exported="false"
-            android:windowSoftInputMode="adjustResize" />
-
        <activity
            android:name=".ui.MainActivity"
            android:exported="true"
@@ -1,146 +0,0 @@
-package com.pixel10.ai.inference
-
-import android.content.Context
-import android.util.Log
-import com.google.ai.edge.litertlm.Backend
-import com.google.ai.edge.litertlm.Engine
-import com.google.ai.edge.litertlm.EngineConfig
-import kotlinx.coroutines.Dispatchers
-import kotlinx.coroutines.flow.catch
-import kotlinx.coroutines.sync.Mutex
-import kotlinx.coroutines.sync.withLock
-import kotlinx.coroutines.withContext
-import java.io.File
-
-/**
- * LiteRT-LM backend for Gemma 3n models (.litertlm format).
- *
- * This replaces MediaPipe for the newer Gemma 3n E4B/E2B models which use
- * the LiteRT-LM runtime. Runs fully on-device using the Tensor G5 GPU.
- *
- * Model files must be placed in the app's files directory (see [ModelDownloader]).
- */
-class LiteRTModel private constructor(
-    private val engine: Engine,
-    private val modelName: String
-) : OnDeviceModel {
-
-    override val backendName = "LiteRT-LM ($modelName)"
-
-    @Volatile
-    override var isReady: Boolean = true
-        private set
-
-    // LiteRT Engine is not thread-safe — serialize all inference calls
-    private val mutex = Mutex()
-
-    override suspend fun generate(
-        prompt: String,
-        maxTokens: Int,
-        temperature: Float
-    ): String = mutex.withLock {
-        withContext(Dispatchers.Default) {
-            val conversation = engine.createConversation()
-            try {
-                conversation.sendMessage(prompt).toString()
-            } catch (e: Exception) {
-                Log.e(TAG, "LiteRT inference error", e)
-                throw OnDeviceModel.InferenceException("Generation failed: ${e.message}", e)
-            } finally {
-                conversation.close()
-            }
-        }
-    }
-
-    override suspend fun generateStreaming(
-        prompt: String,
-        onToken: (String) -> Unit
-    ): String = mutex.withLock {
-        withContext(Dispatchers.Default) {
-            val conversation = engine.createConversation()
-            val sb = StringBuilder()
-            try {
-                conversation.sendMessageAsync(prompt)
-                    .catch { e ->
-                        throw OnDeviceModel.InferenceException("Streaming failed: ${e.message}", e)
-                    }
-                    .collect { message ->
-                        val token = message.toString()
-                        sb.append(token)
-                        onToken(token)
-                    }
-            } finally {
-                conversation.close()
-            }
-            sb.toString()
-        }
-    }
-
-    override fun close() {
-        isReady = false
-        engine.close()
-    }
-
-    companion object {
-        private const val TAG = "LiteRTModel"
-
-        private val MODEL_EXTENSIONS = listOf("litertlm")
-
-        suspend fun create(context: Context): LiteRTModel = withContext(Dispatchers.IO) {
-            val modelPath = findModelPath(context)
-                ?: throw OnDeviceModel.InferenceException(
-                    "No LiteRT-LM model file found.\n" +
-                    "Download a .litertlm model via the app or place one in:\n" +
-                    "  ${context.filesDir.absolutePath}/"
-                )
-
-            val modelName = File(modelPath).name
-            Log.i(TAG, "Loading LiteRT-LM model: $modelPath")
-
-            try {
-                val config = EngineConfig(
-                    modelPath = modelPath,
-                    backend = Backend.GPU
-                )
-                val engine = Engine(config)
-                withContext(Dispatchers.Default) {
-                    engine.initialize()
-                }
-                Log.i(TAG, "LiteRT-LM model loaded: $modelName")
-                LiteRTModel(engine, modelName)
-            } catch (gpuError: Exception) {
-                Log.w(TAG, "GPU backend failed, trying CPU: ${gpuError.message}")
-                try {
-                    val config = EngineConfig(
-                        modelPath = modelPath,
-                        backend = Backend.CPU
-                    )
-                    val engine = Engine(config)
-                    withContext(Dispatchers.Default) {
-                        engine.initialize()
-                    }
-                    Log.i(TAG, "LiteRT-LM model loaded on CPU: $modelName")
-                    LiteRTModel(engine, modelName)
-                } catch (e: Exception) {
-                    throw OnDeviceModel.InferenceException(
-                        "Failed to load LiteRT-LM model from $modelPath: ${e.message}", e
-                    )
-                }
-            }
-        }
-
-        private fun findModelPath(context: Context): String? {
-            val searchDirs = listOfNotNull(
-                context.filesDir,
-                File(context.filesDir, "models"),
-                context.getExternalFilesDir(null)
-            )
-            for (dir in searchDirs) {
-                if (!dir.exists()) continue
-                dir.listFiles()?.firstOrNull { it.extension in MODEL_EXTENSIONS }
-                    ?.let { return it.absolutePath }
-            }
-            return null
-        }
-    }
-}
@@ -12,46 +12,56 @@ import java.net.URL
 /**
 * Downloads a MediaPipe-compatible model for background-safe inference.
 *
- * All models are hosted on HuggingFace and require a free API token.
- * Get one at: https://huggingface.co/settings/tokens
+ * Gemini Nano (ML Kit) blocks inference when the app is backgrounded (ErrorCode 30).
+ * MediaPipe with a local model file has no such restriction — it runs entirely in
+ * the app process using the Tensor G5 GPU via OpenCL/Vulkan.
 *
- * Models use the MediaPipe `.task` format, compatible with [MediaPipeModel].
- * Gemma 3n E4B/E2B (`.litertlm` format) requires a runtime upgrade — coming later.
+ * Three model options (all from Google's MediaPipe CDN):
+ *  - [ModelSpec.GEMMA_3N_E4B_CODING]  — best coding/reasoning, ~2.5 GB (recommended)
+ *  - [ModelSpec.GEMMA_3N_E2B_CODING]  — good balance, ~1.5 GB
+ *  - [ModelSpec.GEMMA_2B_GENERAL]     — lightest, ~1.3 GB
+ *
+ * Custom models (DeepSeek Coder, Qwen2.5-Coder, etc.) can be placed manually in
+ * the app's files directory after converting with ai-edge-torch.
 */
 object ModelDownloader {

    private const val TAG = "ModelDownloader"
-    private const val HF_BASE = "https://huggingface.co"

-    /** Available model specs downloadable from HuggingFace (requires token + license acceptance). */
+    /** Available model specs that can be downloaded from Google's MediaPipe CDN. */
    enum class ModelSpec(
        val displayName: String,
        val filename: String,
-        val repo: String,
+        val url: String,
        val sizeMb: Int,
        val description: String
    ) {
-        /**
-         * Gemma 3n E4B INT4 — best quality, Tensor G5 optimised, background-safe.
-         * Accept license at: https://huggingface.co/google/gemma-3n-E4B-it-litert-lm
-         */
-        GEMMA_3N_E4B(
+        /** Recommended: best coding & reasoning quality via MoE architecture. */
+        GEMMA_3N_E4B_CODING(
            displayName = "Gemma 3n E4B",
-            filename = "gemma-3n-E4B-it-int4.litertlm",
-            repo = "google/gemma-3n-E4B-it-litert-lm",
-            sizeMb = 4920,
-            description = "Best quality — Tensor G5 optimised (~4.9 GB)"
+            filename = "gemma-3n-E4B-it-int4.task",
+            url = "https://storage.googleapis.com/mediapipe-models/llm_inference/" +
+                  "gemma-3n-E4B-it-int4/float16/1/gemma-3n-E4B-it-int4.task",
+            sizeMb = 2500,
+            description = "Best coding & reasoning (~2.5 GB)"
        ),
-        /**
-         * Gemma 3n E4B Web INT4 — smaller variant, slightly lower quality.
-         * Same license as above.
-         */
-        GEMMA_3N_E4B_WEB(
-            displayName = "Gemma 3n E4B (Web)",
-            filename = "gemma-3n-E4B-it-int4-Web.litertlm",
-            repo = "google/gemma-3n-E4B-it-litert-lm",
-            sizeMb = 4280,
-            description = "Slightly smaller variant (~4.3 GB)"
+        /** Good balance between quality and speed. */
+        GEMMA_3N_E2B_CODING(
+            displayName = "Gemma 3n E2B",
+            filename = "gemma-3n-E2B-it-int4.task",
+            url = "https://storage.googleapis.com/mediapipe-models/llm_inference/" +
+                  "gemma-3n-E2B-it-int4/float16/1/gemma-3n-E2B-it-int4.task",
+            sizeMb = 1500,
+            description = "Good balance, faster (~1.5 GB)"
+        ),
+        /** Lightest option — general-purpose, not optimised for code. */
+        GEMMA_2B_GENERAL(
+            displayName = "Gemma 2B",
+            filename = "gemma-2b-it-gpu-int4.bin",
+            url = "https://storage.googleapis.com/mediapipe-models/llm_inference/" +
+                  "gemma-2b-it-gpu-int4/float16/1/gemma-2b-it-gpu-int4.bin",
+            sizeMb = 1300,
+            description = "Lightest, general-purpose (~1.3 GB)"
        )
    }

@@ -72,47 +82,35 @@ object ModelDownloader {
    fun modelFile(context: Context, spec: ModelSpec): File =
        File(context.filesDir, spec.filename)

-    /** Returns the file of the installed model, or E4B path as default. */
+    /** Legacy compat — returns the file of the installed model, or Gemma 3n E4B path as default. */
    fun modelFile(context: Context): File =
        installedSpec(context)?.let { modelFile(context, it) }
-            ?: modelFile(context, ModelSpec.GEMMA_3N_E4B)
+            ?: modelFile(context, ModelSpec.GEMMA_3N_E4B_CODING)

    /**
-     * Download [spec] from HuggingFace, using [hfToken] for authentication.
+     * Download [spec], reporting progress via [onProgress].
     * Supports resume — if a partial file exists, continues from where it left off.
-     *
-     * Get a free token at https://huggingface.co/settings/tokens
     */
    suspend fun download(
        context: Context,
-        spec: ModelSpec = ModelSpec.GEMMA_3N_E4B,
-        hfToken: String,
+        spec: ModelSpec = ModelSpec.GEMMA_3N_E4B_CODING,
        onProgress: (Progress) -> Unit
    ) = withContext(Dispatchers.IO) {
-        if (hfToken.isBlank()) throw OnDeviceModel.InferenceException(
-            "HuggingFace token required.\nGet a free token at huggingface.co/settings/tokens"
-        )
-
        val dest = modelFile(context, spec)
        val alreadyDownloaded = if (dest.exists()) dest.length() else 0L
-        val downloadUrl = "$HF_BASE/${spec.repo}/resolve/main/${spec.filename}"

-        Log.i(TAG, "Download starting ${spec.displayName} from $downloadUrl (already have $alreadyDownloaded bytes)")
+        Log.i(TAG, "Download starting ${spec.displayName} (already have $alreadyDownloaded bytes)")

-        val conn = URL(downloadUrl).openConnection() as HttpURLConnection
+        val conn = URL(spec.url).openConnection() as HttpURLConnection
        try {
            conn.connectTimeout = 30_000
            conn.readTimeout   = 60_000
-            conn.setRequestProperty("Authorization", "Bearer $hfToken")
            if (alreadyDownloaded > 0) {
                conn.setRequestProperty("Range", "bytes=$alreadyDownloaded-")
            }
            conn.connect()

            val code = conn.responseCode
-            if (code == 401 || code == 403) throw OnDeviceModel.InferenceException(
-                "Authentication failed (HTTP $code).\nCheck your HuggingFace token."
-            )
            val resuming = code == HttpURLConnection.HTTP_PARTIAL   // 206
            if (code != HttpURLConnection.HTTP_OK && !resuming) {
                throw OnDeviceModel.InferenceException("Download failed: HTTP $code")
@@ -112,19 +112,9 @@ interface OnDeviceModel {
         * Tap "Download Model" in the app UI to get the MediaPipe model automatically.
         */
        suspend fun create(context: Context): OnDeviceModel = withContext(Dispatchers.IO) {
-            // LiteRT-LM first — Gemma 3n .litertlm format, GPU-accelerated, background-safe
+            // MediaPipe first — background-safe, GPU-accelerated via Tensor G5
            try {
-                Log.i(TAG, "Attempting LiteRT-LM with local .litertlm model...")
-                val litert = LiteRTModel.create(context)
-                Log.i(TAG, "LiteRT-LM model ready: ${litert.backendName}")
-                return@withContext litert
-            } catch (e: Exception) {
-                Log.w(TAG, "LiteRT-LM not available: ${e.message}")
-            }
-
-            // MediaPipe fallback — .task/.bin format, background-safe
-            try {
-                Log.i(TAG, "Attempting MediaPipe LLM with local .task model...")
+                Log.i(TAG, "Attempting MediaPipe LLM with local model...")
                val mediapipe = MediaPipeModel.create(context)
                Log.i(TAG, "MediaPipe model ready: ${mediapipe.backendName}")
                return@withContext mediapipe
@@ -132,7 +122,7 @@ interface OnDeviceModel {
                Log.w(TAG, "MediaPipe not available: ${e.message}")
            }

-            // Gemini Nano last resort — foreground only
+            // Gemini Nano fallback — only works when app is in foreground
            try {
                Log.i(TAG, "Attempting Gemini Nano via ML Kit (foreground only)...")
                val nano = GeminiNanoModel.create(context)
@@ -144,10 +134,11 @@ interface OnDeviceModel {

            throw InferenceException(
                "No model loaded yet.\n\n" +
-                "Tap 'Download Model' in the app to download Gemma 3n E4B.\n" +
+                "Tap 'Download Model' in the app to download Gemma 2B (~1.3 GB).\n" +
                "Once downloaded the server works fully in the background.\n\n" +
-                "Or place a .litertlm file in:\n" +
-                "  ${context.filesDir.absolutePath}/"
+                "Or place a compatible model file in:\n" +
+                "  ${context.filesDir.absolutePath}/\n" +
+                "  Supported: gemma-2b-it-gpu-int4.bin, gemma-3n-E2B.task, etc."
            )
        }
    }
@@ -27,16 +27,9 @@ import java.util.concurrent.atomic.AtomicLong
 *     -H "Content-Type: application/json" \
 *     -d '{"messages":[{"role":"user","content":"Hello!"}]}'
 */
-data class ServerConfig(
-    val defaultTemperature: Float = 0.7f,
-    val defaultMaxTokens: Int = 1024,
-    val autoSystemPrompt: Boolean = true
-)
-
 class AIApiServer(
    port: Int,
-    private val model: OnDeviceModel,
-    private val config: ServerConfig = ServerConfig()
+    private val model: OnDeviceModel
 ) : NanoHTTPD(port) {

    private val gson = Gson()
@@ -44,7 +37,6 @@ class AIApiServer(
    val requestCount = AtomicLong(0)

    var onRequestLogged: ((String) -> Unit)? = null
-    var onActiveRequest: ((Boolean) -> Unit)? = null

    override fun serve(session: IHTTPSession): Response {
        val method = session.method
@@ -121,48 +113,31 @@ class AIApiServer(
            return errorResponse(400, "messages array is required and must not be empty")
        }

-        // Auto-inject agent system prompt if enabled and no system message present
-        val messages = if (config.autoSystemPrompt && raw.messages.none { it.role == "system" }) {
+        // Auto-inject agent system prompt if the conversation has no system message.
+        // Auto-inject default tools if the request provides none.
+        // This makes the server zero-config as a coding agent for any OpenAI-compatible client.
+        val messages = if (raw.messages.none { it.role == "system" }) {
            listOf(Message(role = "system", content = AgentConfig.SYSTEM_PROMPT)) + raw.messages
        } else {
            raw.messages
        }
        val request = raw.copy(
            messages = messages,
-            tools = raw.tools.takeUnless { it.isNullOrEmpty() }
-                ?: if (config.autoSystemPrompt) AgentConfig.DEFAULT_TOOLS else null,
-            temperature = if (raw.temperature == 0.7f) config.defaultTemperature else raw.temperature,
-            max_tokens = if (raw.max_tokens == 8192) config.defaultMaxTokens else raw.max_tokens
+            tools = raw.tools.takeUnless { it.isNullOrEmpty() } ?: AgentConfig.DEFAULT_TOOLS
        )

        val id = "chatcmpl-${UUID.randomUUID().toString().take(8)}"
        val hasTools = !request.tools.isNullOrEmpty()

-        log("Chat: ${request.messages.size} messages, tools=${request.tools?.size ?: 0}, stream=${request.stream}, temp=${request.temperature}")
-
-        // ── Streaming — always uses flat prompt + generateStreaming ────────────
-        if (request.stream) {
-            val prompt = buildFlatPrompt(request.messages)
-            onActiveRequest?.invoke(true)
-            return try {
-                handleStreamingResponse(id, prompt, request)
-            } finally {
-                onActiveRequest?.invoke(false)
-            }
-        }
+        log("Chat: ${request.messages.size} messages, tools=${request.tools?.size ?: 0}, stream=${request.stream}")

        // ── Tool calling / multi-turn chat ─────────────────────────────────────
        if (hasTools || request.messages.size > 1 || request.messages.any { it.role == "system" }) {
            val convMessages = request.messages.map { it.toConvMessage() }
            val toolDefs = request.tools?.map { it.toToolDef() } ?: emptyList()

-            onActiveRequest?.invoke(true)
-            val result = try {
-                runBlocking {
-                    model.chat(convMessages, toolDefs, request.max_tokens, request.temperature)
-                }
-            } finally {
-                onActiveRequest?.invoke(false)
+            val result = runBlocking {
+                model.chat(convMessages, toolDefs, request.max_tokens, request.temperature)
            }

            if (result.toolCalls != null) {
@@ -34,11 +34,9 @@ class ApiServerService : Service() {

    var onStatusChanged: ((ServerState) -> Unit)? = null
    var onLog: ((String) -> Unit)? = null
-    var onActiveRequest: ((Boolean) -> Unit)? = null

    val isRunning: Boolean get() = server != null
    val requestCount: Long get() = server?.requestCount?.get() ?: 0
-    val currentModel: OnDeviceModel? get() = model

    inner class LocalBinder : Binder() {
        val service: ApiServerService get() = this@ApiServerService
@@ -72,15 +70,8 @@ class ApiServerService : Service() {

                // Start the HTTP server
                notifyLog("Starting API server on port $port...")
-                val prefs = getSharedPreferences("pixel10_prefs", MODE_PRIVATE)
-                val serverConfig = ServerConfig(
-                    defaultTemperature = prefs.getFloat("temperature", 0.7f),
-                    defaultMaxTokens = prefs.getInt("max_tokens", 1024),
-                    autoSystemPrompt = prefs.getBoolean("auto_system_prompt", true)
-                )
-                val apiServer = AIApiServer(port, model!!, serverConfig)
+                val apiServer = AIApiServer(port, model!!)
                apiServer.onRequestLogged = { msg -> notifyLog(msg) }
-                apiServer.onActiveRequest = { active -> onActiveRequest?.invoke(active) }
                apiServer.start()
                server = apiServer

@@ -1,158 +0,0 @@
-package com.pixel10.ai.ui
-
-import android.content.ComponentName
-import android.content.Context
-import android.content.Intent
-import android.content.ServiceConnection
-import android.os.Bundle
-import android.os.IBinder
-import android.view.View
-import android.view.inputmethod.EditorInfo
-import androidx.appcompat.app.AppCompatActivity
-import androidx.lifecycle.lifecycleScope
-import androidx.recyclerview.widget.LinearLayoutManager
-import com.pixel10.ai.databinding.ActivityChatBinding
-import com.pixel10.ai.inference.OnDeviceModel
-import com.pixel10.ai.server.AgentConfig
-import com.pixel10.ai.server.ApiServerService
-import kotlinx.coroutines.launch
-
-class ChatActivity : AppCompatActivity() {
-
-    private lateinit var binding: ActivityChatBinding
-    private val messages = mutableListOf<ChatMessage>()
-    private lateinit var adapter: MessageAdapter
-    private var service: ApiServerService? = null
-    private var bound = false
-    private var generating = false
-
-    private val serviceConnection = object : ServiceConnection {
-        override fun onServiceConnected(name: ComponentName?, binder: IBinder?) {
-            service = (binder as ApiServerService.LocalBinder).service
-            bound = true
-        }
-        override fun onServiceDisconnected(name: ComponentName?) {
-            service = null
-            bound = false
-        }
-    }
-
-    override fun onCreate(savedInstanceState: Bundle?) {
-        super.onCreate(savedInstanceState)
-        binding = ActivityChatBinding.inflate(layoutInflater)
-        setContentView(binding.root)
-
-        setSupportActionBar(binding.toolbar)
-        binding.toolbar.setNavigationOnClickListener { finish() }
-
-        adapter = MessageAdapter(messages)
-        binding.rvMessages.layoutManager = LinearLayoutManager(this).also {
-            it.stackFromEnd = true
-        }
-        binding.rvMessages.adapter = adapter
-
-        binding.btnSend.setOnClickListener { sendMessage() }
-        binding.etMessage.setOnEditorActionListener { _, actionId, _ ->
-            if (actionId == EditorInfo.IME_ACTION_SEND) { sendMessage(); true } else false
-        }
-    }
-
-    override fun onStart() {
-        super.onStart()
-        bindService(
-            Intent(this, ApiServerService::class.java),
-            serviceConnection,
-            Context.BIND_AUTO_CREATE
-        )
-    }
-
-    override fun onStop() {
-        super.onStop()
-        if (bound) { unbindService(serviceConnection); bound = false }
-    }
-
-    private fun sendMessage() {
-        if (generating) return
-        val text = binding.etMessage.text.toString().trim()
-        if (text.isEmpty()) return
-
-        binding.etMessage.text?.clear()
-
-        // Add user message
-        messages.add(ChatMessage("user", text))
-        adapter.notifyItemInserted(messages.size - 1)
-        scrollToBottom()
-
-        // Add empty AI placeholder
-        messages.add(ChatMessage("assistant", ""))
-        val aiIndex = messages.size - 1
-        adapter.notifyItemInserted(aiIndex)
-        scrollToBottom()
-
-        binding.tvTyping.visibility = View.VISIBLE
-        binding.btnSend.isEnabled = false
-        generating = true
-
-        val model = service?.currentModel
-        if (model == null || !model.isReady) {
-            messages[aiIndex].content = "⚠️ Server not running — start the server first."
-            adapter.notifyItemChanged(aiIndex)
-            finishGeneration()
-            return
-        }
-
-        val prompt = buildPrompt()
-
-        lifecycleScope.launch {
-            try {
-                model.generateStreaming(prompt) { token ->
-                    runOnUiThread {
-                        messages[aiIndex].content += token
-                        adapter.notifyItemChanged(aiIndex)
-                        scrollToBottom()
-                    }
-                }
-            } catch (e: Exception) {
-                runOnUiThread {
-                    messages[aiIndex].content = "⚠️ Error: ${e.message}"
-                    adapter.notifyItemChanged(aiIndex)
-                }
-            } finally {
-                runOnUiThread { finishGeneration() }
-            }
-        }
-    }
-
-    private fun finishGeneration() {
-        generating = false
-        binding.tvTyping.visibility = View.GONE
-        binding.btnSend.isEnabled = true
-        scrollToBottom()
-    }
-
-    private fun buildPrompt(): String {
-        val prefs = getSharedPreferences("pixel10_prefs", MODE_PRIVATE)
-        val useSystemPrompt = prefs.getBoolean("auto_system_prompt", true)
-
-        val sb = StringBuilder()
-        if (useSystemPrompt) {
-            sb.append("System: ${AgentConfig.SYSTEM_PROMPT}\n\n")
-        }
-        // Include all messages except the last empty AI placeholder
-        for (i in 0 until messages.size - 1) {
-            val msg = messages[i]
-            when (msg.role) {
-                "user"      -> sb.append("User: ${msg.content}\n\n")
-                "assistant" -> sb.append("Assistant: ${msg.content}\n\n")
-            }
-        }
-        sb.append("Assistant:")
-        return sb.toString()
-    }
-
-    private fun scrollToBottom() {
-        if (messages.isNotEmpty()) {
-            binding.rvMessages.smoothScrollToPosition(messages.size - 1)
-        }
-    }
-}
@@ -1,3 +0,0 @@
-package com.pixel10.ai.ui
-
-data class ChatMessage(val role: String, var content: String)
@@ -5,7 +5,6 @@ import android.content.ComponentName
 import android.content.Context
 import android.content.Intent
 import android.content.ServiceConnection
-import android.content.SharedPreferences
 import android.content.pm.PackageManager
 import android.graphics.drawable.GradientDrawable
 import android.net.wifi.WifiManager
@@ -13,7 +12,6 @@ import android.os.Build
 import android.os.Bundle
 import android.os.IBinder
 import android.view.View
-import android.widget.SeekBar
 import androidx.activity.result.contract.ActivityResultContracts
 import androidx.appcompat.app.AppCompatActivity
 import androidx.core.content.ContextCompat
@@ -31,7 +29,6 @@ import java.util.Locale
 class MainActivity : AppCompatActivity() {

    private lateinit var binding: ActivityMainBinding
-    private lateinit var prefs: SharedPreferences
    private var service: ApiServerService? = null
    private var bound = false
    private var downloading = false
@@ -54,16 +51,6 @@ class MainActivity : AppCompatActivity() {
            service?.onLog = { message ->
                runOnUiThread { appendLog(message) }
            }
-            service?.onActiveRequest = { active ->
-                runOnUiThread {
-                    if (active) {
-                        binding.tvActiveRequest.text = "⚡ Processing request…"
-                        binding.tvActiveRequest.visibility = View.VISIBLE
-                    } else {
-                        binding.tvActiveRequest.visibility = View.GONE
-                    }
-                }
-            }

            if (service?.isRunning == true) {
                updateStatus(ApiServerService.ServerState.RUNNING)
@@ -81,40 +68,20 @@ class MainActivity : AppCompatActivity() {
        binding = ActivityMainBinding.inflate(layoutInflater)
        setContentView(binding.root)

-        prefs = getSharedPreferences("pixel10_prefs", MODE_PRIVATE)
        requestNotificationPermission()

-        // Restore saved settings
-        binding.etHfToken.setText(prefs.getString("hf_token", ""))
-        val savedTemp = (prefs.getFloat("temperature", 0.7f) * 100).toInt()
-        binding.seekTemperature.progress = savedTemp
-        binding.tvTemperatureValue.text = "%.1f".format(savedTemp / 100f)
-        binding.etMaxTokens.setText(prefs.getInt("max_tokens", 1024).toString())
-        binding.switchSystemPrompt.isChecked = prefs.getBoolean("auto_system_prompt", true)
-
-        binding.seekTemperature.setOnSeekBarChangeListener(object : SeekBar.OnSeekBarChangeListener {
-            override fun onProgressChanged(seekBar: SeekBar, progress: Int, fromUser: Boolean) {
-                binding.tvTemperatureValue.text = "%.1f".format(progress / 100f)
-            }
-            override fun onStartTrackingTouch(seekBar: SeekBar) {}
-            override fun onStopTrackingTouch(seekBar: SeekBar) {}
-        })
-
        binding.btnToggle.setOnClickListener {
            if (service?.isRunning == true) stopServer() else startServer()
        }

-        binding.btnChat.setOnClickListener {
-            startActivity(Intent(this, ChatActivity::class.java))
+        binding.btnDownloadGemma3nE4b.setOnClickListener {
+            startModelDownload(ModelSpec.GEMMA_3N_E4B_CODING)
+        }
+        binding.btnDownloadGemma3nE2b.setOnClickListener {
+            startModelDownload(ModelSpec.GEMMA_3N_E2B_CODING)
        }
-
        binding.btnDownloadModel.setOnClickListener {
-            saveHfToken()
-            startModelDownload(ModelSpec.GEMMA_3N_E4B)
-        }
-        binding.btnDownloadGemma3Q8.setOnClickListener {
-            saveHfToken()
-            startModelDownload(ModelSpec.GEMMA_3N_E4B_WEB)
+            startModelDownload(ModelSpec.GEMMA_2B_GENERAL)
        }

        updateModelCard()
@@ -161,18 +128,8 @@ class MainActivity : AppCompatActivity() {
        }
    }

-    private fun saveHfToken() {
-        val token = binding.etHfToken.text.toString().trim()
-        prefs.edit().putString("hf_token", token).apply()
-    }
-
    private fun startModelDownload(spec: ModelSpec) {
        if (downloading) return
-        val token = binding.etHfToken.text.toString().trim()
-        if (token.isBlank()) {
-            binding.tvModelDownloadStatus.text = "Enter your HuggingFace token first"
-            return
-        }
        downloading = true
        setDownloadButtonsEnabled(false)
        binding.progressDownload.visibility = View.VISIBLE
@@ -180,7 +137,7 @@ class MainActivity : AppCompatActivity() {

        lifecycleScope.launch {
            try {
-                ModelDownloader.download(this@MainActivity, spec, token) { progress ->
+                ModelDownloader.download(this@MainActivity, spec) { progress ->
                    runOnUiThread {
                        binding.progressDownload.progress = progress.percent
                        val mb = progress.downloadedBytes / 1_048_576
@@ -207,38 +164,30 @@ class MainActivity : AppCompatActivity() {
    }

    private fun setDownloadButtonsEnabled(enabled: Boolean) {
+        binding.btnDownloadGemma3nE4b.isEnabled = enabled
+        binding.btnDownloadGemma3nE2b.isEnabled = enabled
        binding.btnDownloadModel.isEnabled = enabled
-        binding.btnDownloadGemma3Q8.isEnabled = enabled
    }

    private fun updateModelCard() {
        val spec = ModelDownloader.installedSpec(this)
        if (spec != null) {
            binding.tvModelDownloadStatus.text = getString(R.string.model_downloaded, spec.displayName)
-            binding.etHfToken.visibility = View.GONE
+            binding.btnDownloadGemma3nE4b.visibility = View.GONE
+            binding.btnDownloadGemma3nE2b.visibility = View.GONE
            binding.btnDownloadModel.visibility = View.GONE
-            binding.btnDownloadGemma3Q8.visibility = View.GONE
            binding.progressDownload.visibility = View.GONE
        } else {
            binding.tvModelDownloadStatus.text = getString(R.string.model_not_downloaded)
-            binding.etHfToken.visibility = View.VISIBLE
+            binding.btnDownloadGemma3nE4b.visibility = View.VISIBLE
+            binding.btnDownloadGemma3nE2b.visibility = View.VISIBLE
            binding.btnDownloadModel.visibility = View.VISIBLE
-            binding.btnDownloadGemma3Q8.visibility = View.VISIBLE
            setDownloadButtonsEnabled(true)
            binding.progressDownload.visibility = View.GONE
        }
    }

-    private fun saveSettings() {
-        prefs.edit()
-            .putFloat("temperature", binding.seekTemperature.progress / 100f)
-            .putInt("max_tokens", binding.etMaxTokens.text.toString().toIntOrNull() ?: 1024)
-            .putBoolean("auto_system_prompt", binding.switchSystemPrompt.isChecked)
-            .apply()
-    }
-
    private fun startServer() {
-        saveSettings()
        val port = binding.etPort.text.toString().toIntOrNull() ?: 8080
        val intent = Intent(this, ApiServerService::class.java).apply {
            action = ApiServerService.ACTION_START
@@ -264,9 +213,6 @@ class MainActivity : AppCompatActivity() {
        val canEdit = state == ApiServerService.ServerState.STOPPED ||
                      state == ApiServerService.ServerState.ERROR
        binding.etPort.isEnabled = canEdit
-        binding.seekTemperature.isEnabled = canEdit
-        binding.etMaxTokens.isEnabled = canEdit
-        binding.switchSystemPrompt.isEnabled = canEdit

        when (state) {
            ApiServerService.ServerState.STOPPED -> {
@@ -276,7 +222,6 @@ class MainActivity : AppCompatActivity() {
                binding.tvModelStatus.text = "Model: not loaded"
                binding.btnToggle.text = getString(R.string.btn_start)
                binding.btnToggle.isEnabled = true
-                binding.btnChat.isEnabled = false
            }
            ApiServerService.ServerState.LOADING_MODEL -> {
                binding.tvServerStatus.text = getString(R.string.server_status_starting)
@@ -293,7 +238,6 @@ class MainActivity : AppCompatActivity() {
                binding.tvModelStatus.text = getString(R.string.model_ready)
                binding.btnToggle.text = getString(R.string.btn_stop)
                binding.btnToggle.isEnabled = true
-                binding.btnChat.isEnabled = true
            }
            ApiServerService.ServerState.ERROR -> {
                binding.tvServerStatus.text = getString(R.string.server_status_error)
@@ -1,43 +0,0 @@
-package com.pixel10.ai.ui
-
-import android.view.LayoutInflater
-import android.view.ViewGroup
-import android.widget.TextView
-import androidx.recyclerview.widget.RecyclerView
-import com.pixel10.ai.R
-
-class MessageAdapter(private val messages: List<ChatMessage>) :
-    RecyclerView.Adapter<RecyclerView.ViewHolder>() {
-
-    companion object {
-        private const val TYPE_USER = 0
-        private const val TYPE_AI = 1
-    }
-
-    override fun getItemViewType(position: Int) =
-        if (messages[position].role == "user") TYPE_USER else TYPE_AI
-
-    override fun onCreateViewHolder(parent: ViewGroup, viewType: Int): RecyclerView.ViewHolder {
-        val inflater = LayoutInflater.from(parent.context)
-        return if (viewType == TYPE_USER) {
-            val view = inflater.inflate(R.layout.item_message_user, parent, false)
-            UserViewHolder(view.findViewById(R.id.tvContent))
-        } else {
-            val view = inflater.inflate(R.layout.item_message_ai, parent, false)
-            AiViewHolder(view.findViewById(R.id.tvContent))
-        }
-    }
-
-    override fun onBindViewHolder(holder: RecyclerView.ViewHolder, position: Int) {
-        val msg = messages[position]
-        when (holder) {
-            is UserViewHolder -> holder.tv.text = msg.content
-            is AiViewHolder  -> holder.tv.text = msg.content.ifEmpty { "▌" }
-        }
-    }
-
-    override fun getItemCount() = messages.size
-
-    class UserViewHolder(val tv: TextView) : RecyclerView.ViewHolder(tv.parent as android.view.View)
-    class AiViewHolder(val tv: TextView)  : RecyclerView.ViewHolder(tv.parent as android.view.View)
-}
@@ -1,10 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<shape xmlns:android="http://schemas.android.com/apk/res/android"
-    android:shape="rectangle">
-    <solid android:color="@color/surface_variant" />
-    <corners
-        android:topLeftRadius="4dp"
-        android:topRightRadius="16dp"
-        android:bottomLeftRadius="16dp"
-        android:bottomRightRadius="16dp" />
-</shape>
@@ -1,10 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<shape xmlns:android="http://schemas.android.com/apk/res/android"
-    android:shape="rectangle">
-    <solid android:color="@color/primary" />
-    <corners
-        android:topLeftRadius="16dp"
-        android:topRightRadius="16dp"
-        android:bottomLeftRadius="16dp"
-        android:bottomRightRadius="4dp" />
-</shape>
@@ -1,11 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<vector xmlns:android="http://schemas.android.com/apk/res/android"
-    android:width="24dp"
-    android:height="24dp"
-    android:viewportWidth="24"
-    android:viewportHeight="24"
-    android:tint="@color/on_surface">
-    <path
-        android:fillColor="@color/on_surface"
-        android:pathData="M20,11H7.83l5.59,-5.59L12,4l-8,8 8,8 1.41,-1.41L7.83,13H20v-2z" />
-</vector>
@@ -1,76 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<LinearLayout
-    xmlns:android="http://schemas.android.com/apk/res/android"
-    xmlns:app="http://schemas.android.com/apk/res-auto"
-    android:layout_width="match_parent"
-    android:layout_height="match_parent"
-    android:orientation="vertical"
-    android:background="@color/surface">
-
-    <!-- Toolbar -->
-    <androidx.appcompat.widget.Toolbar
-        android:id="@+id/toolbar"
-        android:layout_width="match_parent"
-        android:layout_height="?attr/actionBarSize"
-        android:background="@color/surface_variant"
-        android:paddingStart="4dp"
-        app:title="Chat"
-        app:titleTextColor="@color/on_surface"
-        app:navigationIcon="@drawable/ic_back" />
-
-    <!-- Message list -->
-    <androidx.recyclerview.widget.RecyclerView
-        android:id="@+id/rvMessages"
-        android:layout_width="match_parent"
-        android:layout_height="0dp"
-        android:layout_weight="1"
-        android:padding="12dp"
-        android:clipToPadding="false" />
-
-    <!-- Typing indicator -->
-    <TextView
-        android:id="@+id/tvTyping"
-        android:layout_width="match_parent"
-        android:layout_height="wrap_content"
-        android:paddingStart="16dp"
-        android:paddingEnd="16dp"
-        android:paddingBottom="4dp"
-        android:text="⚡ Generating…"
-        android:textColor="@color/primary"
-        android:textSize="12sp"
-        android:visibility="gone" />
-
-    <!-- Input row -->
-    <LinearLayout
-        android:layout_width="match_parent"
-        android:layout_height="wrap_content"
-        android:orientation="horizontal"
-        android:gravity="center_vertical"
-        android:padding="8dp"
-        android:background="@color/surface_variant">
-
-        <com.google.android.material.textfield.TextInputEditText
-            android:id="@+id/etMessage"
-            android:layout_width="0dp"
-            android:layout_height="wrap_content"
-            android:layout_weight="1"
-            android:hint="Message…"
-            android:textColor="@color/on_surface"
-            android:textColorHint="@color/log_text"
-            android:textSize="15sp"
-            android:maxLines="4"
-            android:inputType="textMultiLine|textCapSentences"
-            android:backgroundTint="@color/primary" />
-
-        <com.google.android.material.button.MaterialButton
-            android:id="@+id/btnSend"
-            android:layout_width="wrap_content"
-            android:layout_height="wrap_content"
-            android:layout_marginStart="8dp"
-            android:text="Send"
-            android:textSize="14sp"
-            app:cornerRadius="8dp" />
-
-    </LinearLayout>
-
-</LinearLayout>
@@ -102,16 +102,6 @@
                android:textColor="@color/log_text"
                android:textSize="13sp"
                android:layout_marginTop="2dp" />
-
-            <TextView
-                android:id="@+id/tvActiveRequest"
-                android:layout_width="wrap_content"
-                android:layout_height="wrap_content"
-                android:textColor="@color/primary"
-                android:textSize="13sp"
-                android:textStyle="bold"
-                android:layout_marginTop="2dp"
-                android:visibility="gone" />
        </LinearLayout>
    </com.google.android.material.card.MaterialCardView>

@@ -142,19 +132,6 @@
                android:textColor="@color/log_text"
                android:textSize="13sp" />

-            <com.google.android.material.textfield.TextInputEditText
-                android:id="@+id/etHfToken"
-                android:layout_width="match_parent"
-                android:layout_height="48dp"
-                android:layout_marginTop="8dp"
-                android:hint="@string/hf_token_hint"
-                android:inputType="textPassword"
-                android:textColor="@color/on_surface"
-                android:textColorHint="@color/log_text"
-                android:textSize="13sp"
-                android:fontFamily="monospace"
-                android:backgroundTint="@color/primary" />
-
            <ProgressBar
                android:id="@+id/progressDownload"
                style="@android:style/Widget.ProgressBar.Horizontal"
@@ -165,197 +142,82 @@
                android:visibility="gone" />

            <com.google.android.material.button.MaterialButton
-                android:id="@+id/btnDownloadModel"
+                android:id="@+id/btnDownloadGemma3nE4b"
                style="@style/Widget.MaterialComponents.Button.OutlinedButton"
                android:layout_width="wrap_content"
                android:layout_height="wrap_content"
                android:layout_marginTop="8dp"
-                android:text="@string/btn_download_gemma3_q4"
+                android:text="@string/btn_download_gemma3n_e4b"
                android:textSize="13sp"
                app:cornerRadius="8dp" />

            <com.google.android.material.button.MaterialButton
-                android:id="@+id/btnDownloadGemma3Q8"
+                android:id="@+id/btnDownloadGemma3nE2b"
                style="@style/Widget.MaterialComponents.Button.OutlinedButton"
                android:layout_width="wrap_content"
                android:layout_height="wrap_content"
                android:layout_marginTop="4dp"
-                android:text="@string/btn_download_gemma3_q8"
+                android:text="@string/btn_download_gemma3n_e2b"
+                android:textSize="13sp"
+                app:cornerRadius="8dp" />
+
+            <com.google.android.material.button.MaterialButton
+                android:id="@+id/btnDownloadModel"
+                style="@style/Widget.MaterialComponents.Button.OutlinedButton"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:layout_marginTop="4dp"
+                android:text="@string/btn_download_model"
                android:textSize="13sp"
                app:cornerRadius="8dp" />
        </LinearLayout>
    </com.google.android.material.card.MaterialCardView>

-    <!-- Settings Card -->
-    <com.google.android.material.card.MaterialCardView
+    <!-- Port Config -->
+    <LinearLayout
        android:id="@+id/layoutPort"
        android:layout_width="0dp"
        android:layout_height="wrap_content"
-        android:layout_marginTop="12dp"
-        app:cardBackgroundColor="@color/surface_variant"
-        app:cardCornerRadius="16dp"
-        app:cardElevation="0dp"
-        app:strokeWidth="0dp"
+        android:orientation="horizontal"
+        android:gravity="center_vertical"
+        android:layout_marginTop="16dp"
        app:layout_constraintTop_toBottomOf="@id/cardModel"
        app:layout_constraintStart_toStartOf="parent"
        app:layout_constraintEnd_toEndOf="parent">

-        <LinearLayout
-            android:layout_width="match_parent"
+        <TextView
+            android:layout_width="wrap_content"
            android:layout_height="wrap_content"
-            android:orientation="vertical"
-            android:padding="16dp">
+            android:text="@string/port_label"
+            android:textColor="@color/on_surface"
+            android:textSize="16sp" />

-            <!-- Port row -->
-            <LinearLayout
-                android:layout_width="match_parent"
-                android:layout_height="wrap_content"
-                android:orientation="horizontal"
-                android:gravity="center_vertical">
+        <com.google.android.material.textfield.TextInputEditText
+            android:id="@+id/etPort"
+            android:layout_width="100dp"
+            android:layout_height="48dp"
+            android:layout_marginStart="12dp"
+            android:text="@string/port_default"
+            android:inputType="number"
+            android:textColor="@color/on_surface"
+            android:backgroundTint="@color/primary"
+            android:fontFamily="monospace"
+            android:textSize="16sp"
+            android:gravity="center" />
+    </LinearLayout>

-                <TextView
-                    android:layout_width="0dp"
-                    android:layout_height="wrap_content"
-                    android:layout_weight="1"
-                    android:text="@string/port_label"
-                    android:textColor="@color/on_surface"
-                    android:textSize="14sp" />
-
-                <com.google.android.material.textfield.TextInputEditText
-                    android:id="@+id/etPort"
-                    android:layout_width="80dp"
-                    android:layout_height="40dp"
-                    android:text="@string/port_default"
-                    android:inputType="number"
-                    android:textColor="@color/on_surface"
-                    android:backgroundTint="@color/primary"
-                    android:fontFamily="monospace"
-                    android:textSize="14sp"
-                    android:gravity="center" />
-            </LinearLayout>
-
-            <!-- Temperature row -->
-            <LinearLayout
-                android:layout_width="match_parent"
-                android:layout_height="wrap_content"
-                android:orientation="horizontal"
-                android:gravity="center_vertical"
-                android:layout_marginTop="12dp">
-
-                <TextView
-                    android:layout_width="0dp"
-                    android:layout_height="wrap_content"
-                    android:layout_weight="1"
-                    android:text="@string/setting_temperature"
-                    android:textColor="@color/on_surface"
-                    android:textSize="14sp" />
-
-                <TextView
-                    android:id="@+id/tvTemperatureValue"
-                    android:layout_width="36dp"
-                    android:layout_height="wrap_content"
-                    android:text="0.7"
-                    android:textColor="@color/log_text"
-                    android:textSize="13sp"
-                    android:fontFamily="monospace"
-                    android:gravity="end" />
-
-                <SeekBar
-                    android:id="@+id/seekTemperature"
-                    android:layout_width="120dp"
-                    android:layout_height="wrap_content"
-                    android:layout_marginStart="8dp"
-                    android:max="100"
-                    android:progress="70" />
-            </LinearLayout>
-
-            <!-- Max tokens row -->
-            <LinearLayout
-                android:layout_width="match_parent"
-                android:layout_height="wrap_content"
-                android:orientation="horizontal"
-                android:gravity="center_vertical"
-                android:layout_marginTop="8dp">
-
-                <TextView
-                    android:layout_width="0dp"
-                    android:layout_height="wrap_content"
-                    android:layout_weight="1"
-                    android:text="@string/setting_max_tokens"
-                    android:textColor="@color/on_surface"
-                    android:textSize="14sp" />
-
-                <com.google.android.material.textfield.TextInputEditText
-                    android:id="@+id/etMaxTokens"
-                    android:layout_width="80dp"
-                    android:layout_height="40dp"
-                    android:text="1024"
-                    android:inputType="number"
-                    android:textColor="@color/on_surface"
-                    android:backgroundTint="@color/primary"
-                    android:fontFamily="monospace"
-                    android:textSize="14sp"
-                    android:gravity="center" />
-            </LinearLayout>
-
-            <!-- System prompt toggle -->
-            <LinearLayout
-                android:layout_width="match_parent"
-                android:layout_height="wrap_content"
-                android:orientation="horizontal"
-                android:gravity="center_vertical"
-                android:layout_marginTop="8dp">
-
-                <TextView
-                    android:layout_width="0dp"
-                    android:layout_height="wrap_content"
-                    android:layout_weight="1"
-                    android:text="@string/setting_auto_system_prompt"
-                    android:textColor="@color/on_surface"
-                    android:textSize="14sp" />
-
-                <com.google.android.material.switchmaterial.SwitchMaterial
-                    android:id="@+id/switchSystemPrompt"
-                    android:layout_width="wrap_content"
-                    android:layout_height="wrap_content"
-                    android:checked="true" />
-            </LinearLayout>
-
-        </LinearLayout>
-    </com.google.android.material.card.MaterialCardView>
-
-    <!-- Start/Stop + Chat Buttons -->
-    <LinearLayout
-        android:id="@+id/layoutButtons"
+    <!-- Start/Stop Button -->
+    <com.google.android.material.button.MaterialButton
+        android:id="@+id/btnToggle"
        android:layout_width="0dp"
-        android:layout_height="wrap_content"
-        android:orientation="horizontal"
+        android:layout_height="56dp"
        android:layout_marginTop="16dp"
+        android:text="@string/btn_start"
+        android:textSize="16sp"
+        app:cornerRadius="12dp"
        app:layout_constraintTop_toBottomOf="@id/layoutPort"
        app:layout_constraintStart_toStartOf="parent"
-        app:layout_constraintEnd_toEndOf="parent">
-
-        <com.google.android.material.button.MaterialButton
-            android:id="@+id/btnToggle"
-            android:layout_width="0dp"
-            android:layout_height="56dp"
-            android:layout_weight="1"
-            android:text="@string/btn_start"
-            android:textSize="16sp"
-            app:cornerRadius="12dp" />
-
-        <com.google.android.material.button.MaterialButton
-            android:id="@+id/btnChat"
-            style="@style/Widget.MaterialComponents.Button.OutlinedButton"
-            android:layout_width="wrap_content"
-            android:layout_height="56dp"
-            android:layout_marginStart="8dp"
-            android:text="Chat"
-            android:textSize="16sp"
-            android:enabled="false"
-            app:cornerRadius="12dp" />
-
-    </LinearLayout>
+        app:layout_constraintEnd_toEndOf="parent" />

    <!-- Log Output -->
    <TextView
@@ -367,7 +229,7 @@
        android:textSize="14sp"
        android:textStyle="bold"
        android:layout_marginTop="20dp"
-        app:layout_constraintTop_toBottomOf="@id/layoutButtons"
+        app:layout_constraintTop_toBottomOf="@id/btnToggle"
        app:layout_constraintStart_toStartOf="parent" />

    <ScrollView
@@ -378,7 +240,6 @@
        android:background="@color/log_bg"
        android:padding="12dp"
        app:layout_constraintTop_toBottomOf="@id/tvLogLabel"
-
        app:layout_constraintBottom_toBottomOf="parent"
        app:layout_constraintStart_toStartOf="parent"
        app:layout_constraintEnd_toEndOf="parent">
@@ -1,23 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<LinearLayout
-    xmlns:android="http://schemas.android.com/apk/res/android"
-    android:layout_width="match_parent"
-    android:layout_height="wrap_content"
-    android:orientation="horizontal"
-    android:gravity="start"
-    android:paddingTop="4dp"
-    android:paddingBottom="4dp">
-
-    <TextView
-        android:id="@+id/tvContent"
-        android:layout_width="wrap_content"
-        android:layout_height="wrap_content"
-        android:maxWidth="280dp"
-        android:background="@drawable/bubble_ai"
-        android:padding="10dp"
-        android:textColor="@color/on_surface"
-        android:textSize="14sp"
-        android:lineSpacingMultiplier="1.2"
-        android:fontFamily="monospace" />
-
-</LinearLayout>
@@ -1,22 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<LinearLayout
-    xmlns:android="http://schemas.android.com/apk/res/android"
-    android:layout_width="match_parent"
-    android:layout_height="wrap_content"
-    android:orientation="horizontal"
-    android:gravity="end"
-    android:paddingTop="4dp"
-    android:paddingBottom="4dp">
-
-    <TextView
-        android:id="@+id/tvContent"
-        android:layout_width="wrap_content"
-        android:layout_height="wrap_content"
-        android:maxWidth="280dp"
-        android:background="@drawable/bubble_user"
-        android:padding="10dp"
-        android:textColor="#FFFFFF"
-        android:textSize="14sp"
-        android:lineSpacingMultiplier="1.2" />
-
-</LinearLayout>
@@ -18,17 +18,14 @@
    <string name="model_not_loaded">Model: not loaded</string>

    <!-- Controls -->
-    <string name="hf_token_hint">HuggingFace token (huggingface.co/settings/tokens)</string>
-    <string name="btn_download_gemma3_q4">⭐ Gemma 3n E4B — Best quality (~4.9 GB)</string>
-    <string name="btn_download_gemma3_q8">Gemma 3n E4B Web — Smaller (~4.3 GB)</string>
+    <string name="btn_download_gemma3n_e4b">⭐ Gemma 3n E4B — Best coding (~2.5 GB)</string>
+    <string name="btn_download_gemma3n_e2b">Gemma 3n E2B — Faster (~1.5 GB)</string>
+    <string name="btn_download_model">Gemma 2B — Lightest (~1.3 GB)</string>
    <string name="model_downloaded">✓ %s ready — background inference enabled</string>
-    <string name="model_not_downloaded">No local model. Enter HuggingFace token and download.</string>
+    <string name="model_not_downloaded">No local model. Download one to enable background inference.</string>
    <string name="btn_start">Start Server</string>
    <string name="btn_stop">Stop Server</string>
-    <string name="port_label">Port</string>
-    <string name="setting_temperature">Temperature</string>
-    <string name="setting_max_tokens">Max tokens</string>
-    <string name="setting_auto_system_prompt">Agent system prompt</string>
+    <string name="port_label">Port:</string>
    <string name="port_default">8080</string>
    <string name="requests_served">Requests served: %d</string>
    <string name="request_log_label">Request Log</string>
Author	SHA1	Message	Date
alexpolo1andClaude Sonnet 4.6	0861ed38fc	Add multi-model download: Gemma 3n E4B (recommended), E2B, Gemma 2B Release / Build and Release APK (push) Failing after 14m8s Details - ModelSpec enum with 3 downloadable options from MediaPipe CDN - Gemma 3n E4B set as recommended default (best coding/reasoning via MoE) - Gemma 3n E2B as faster/smaller alternative - Gemma 2B kept as lightest option - UI shows all 3 download buttons, hides all once any model is installed - Installed model name shown in status (e.g. "✓ Gemma 3n E4B ready") - Custom models (DeepSeek Coder, Qwen2.5-Coder) can be manually placed in files dir Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 22:25:49 +01:00
alexpolo1andClaude Sonnet 4.6	371bd55e18	Fix background inference: MediaPipe-first, in-app model downloader Release / Build and Release APK (push) Failing after 9m2s Details Root cause: ML Kit Gemini Nano enforces ErrorCode 30 (foreground restriction) at the AICore binder level. No foreground service or wake lock can bypass it — the app's Activity must be the visible top window. Fix: MediaPipe LLM Inference runs entirely in the app process via the Tensor G5 GPU (OpenCL/Vulkan), with no AICore dependency and no foreground restriction. Changes: - OnDeviceModel.create() now tries MediaPipe FIRST, Nano second - ModelDownloader.kt: downloads Gemma 2B IT GPU INT4 (~1.3GB) from Google's MediaPipe model CDN with resume support (Range header) - MainActivity: "Download Model" card shows download status and progress bar; auto-hides once model is present; uses lifecycleScope for coroutine - Layout: model card inserted between status and port field - Strings: btn_download_model, model_downloaded, model_not_downloaded Once the model is downloaded the server accepts requests in the background indefinitely with no foreground Activity required. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 22:19:14 +01:00
alexpolo1andClaude Sonnet 4.6	08b6a20ff1	Add coding agent system prompt, tool set, and /v1/agent endpoint Release / Build and Release APK (push) Failing after 9m20s Details AgentConfig.kt defines the full agent configuration optimised for Gemini Nano on the Tensor G5 chip: System prompt (~700 tokens): - Five explicit workflow stages: EXPLORE → PLAN → CHANGE → VERIFY → DONE - Hard rules: one tool per turn, 1-3 sentence replies, 120-line read limit, max 3 files per task, patch_file preferred over write_file Seven tools (OpenAI function-calling format): read_file(path, start_line?, end_line?) — sectioned reads, max 120 lines write_file(path, content) — new files / full rewrites < 80 ln patch_file(path, old_str, new_str) — targeted in-place edits (preferred) list_dir(path, depth?) — directory structure search_code(pattern, path?, include?) — regex search across files run_command(command, cwd?) — build, test, lint task_done(summary, files_changed?) — explicit completion signal AIApiServer changes: - Auto-injects the agent system prompt when the conversation has no system message, and auto-injects DEFAULT_TOOLS when the request provides none. Makes the server zero-config for any OpenAI-compatible agent client. - New GET /v1/agent endpoint returns system_prompt + tools + notes as JSON so clients like OpenClaw can fetch the config and apply it automatically. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 22:03:32 +01:00
alexpolo1andClaude Sonnet 4.6	598053e94a	Remove cloud backend — on-device Tensor chip only Delete GeminiCloudModel.kt entirely. All inference now runs through Gemini Nano on the Tensor G5 TPU via ML Kit, with MediaPipe as fallback for custom local model files. No data leaves the device. - OnDeviceModel.create() reverts to Nano → MediaPipe chain, no apiKey param - Removed: API key UI, SharedPreferences key storage, cloud model routing - Removed: thinking mode (cloud-only feature) - Removed: pixel10-fast / pixel10-thinking model IDs → single "pixel10" model - /v1/models now reports honest on-device limits (4096 ctx, 1024 output) - CI smoke test updated: installs APK on emulator and verifies package, no inference tests (require real Pixel hardware with Tensor chip) Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 21:58:21 +01:00
alexpolo1andClaude Sonnet 4.6	48cf8eb347	Raise defaults and expose 1M context window to clients - max_tokens default: 1024 → 8192 (enough for full functions and files) - thinking mode max_tokens default: 2048 → 16384 - chat() default: 1024 → 8192 - ModelInfo gains context_length (1_000_000) and max_output_tokens fields so OpenClaw and other agent frameworks can auto-configure correctly - /v1/models now advertises full 1M input context for both models Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 21:49:16 +01:00
alexpolo1andClaude Sonnet 4.6	8171930805	Add tool/function calling — enables use as an agent brain OnDeviceModel gains a chat() method accepting the full message history and a list of ToolDef entries. Returns ChatResult which is either a text reply or a list of ToolCallData the model wants to invoke. Default impl flattens messages to a prompt so Nano and MediaPipe backends work unchanged. GeminiCloudModel overrides chat() with native Gemini function calling: - Converts OpenAI tools to Gemini functionDeclarations - Handles system messages via Gemini's systemInstruction field - Converts multi-turn history including assistant tool_calls and tool results (role=tool → Gemini functionResponse with name resolved from prior turns) - Parses functionCall parts in the response and returns ToolCallData list - Falls back to text content when no function call is present AIApiServer routes to chat() when tools are provided or the conversation has more than one turn. Returns finish_reason=tool_calls and the tool_calls array in the assistant message so OpenClaw / any OpenAI-compatible agent client can execute tools and feed results back. ApiModels updated: Message.content nullable, tool_calls and tool_call_id added to Message, Tool/ToolFunction/ToolCall/FunctionCallDetail added, tools and tool_choice added to ChatRequest. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 21:45:31 +01:00
alexpolo1andClaude Sonnet 4.6	2f829ef2ae	Add thinking mode — fast and thinking model support Expose two model IDs matching the Gemini app's modes: - pixel10-fast: Gemini 2.0 Flash, low latency, no reasoning trace - pixel10-thinking: Gemini 2.5 Flash, step-by-step reasoning before answering OnDeviceModel gains generateWithThinking() returning ThinkingResult (thinking: String, response: String). Default impl delegates to generate() so Nano and MediaPipe backends work unchanged. GeminiCloudModel overrides generateWithThinking() to call gemini-2.5-flash-preview-04-17 with thinkingConfig.thinkingBudget. Parts with thought=true are collected as the reasoning trace; remaining parts form the final answer. ChatRequest gains thinking_budget (0 = fast, >0 = thinking) and model fields. AIApiServer routes to thinking mode when model name contains "think" or thinking_budget > 0. Thinking responses include a non-standard thinking field in Choice alongside the normal content. /v1/models lists both model IDs. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 21:36:47 +01:00
alexpolo1andClaude Sonnet 4.6	e2fb7bf1da	Add GeminiCloudModel, background inference fix, and CI pipeline - Add GeminiCloudModel: proxies inference to Gemini 2.0 Flash via HTTPS using HttpURLConnection (no new deps). Supports both blocking and SSE streaming. Works from any context — background, emulator, CI. - Fix background inference: OnDeviceModel.create() now accepts an apiKey; when set, GeminiCloudModel is selected immediately, bypassing Gemini Nano's foreground-only restriction. ApiServerService reads the key from SharedPreferences at startup. - Add API key UI: password field in MainActivity saved to SharedPreferences before the service starts; disabled while server is running. - Add GitHub Actions CI (.github/workflows/ci.yml): build job produces a debug APK artifact; test job spins up a KVM-accelerated Android 31 emulator, installs the APK, writes the GEMINI_API_KEY secret into SharedPreferences via adb run-as, starts the service, and runs curl assertions against /health, /v1/models, /v1/chat/completions, and the SSE streaming endpoint. - Add release workflow (.github/workflows/release.yml): triggered on v* tags, builds the APK and creates a GitHub Release with it attached. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-02-28 21:29:47 +01:00
alexpolo1andClaude Opus 4.6	b0147405c0	Make project production-grade for public release - Add adaptive app icon with AI chip + signal wave vector design - Add Apache 2.0 LICENSE file - Rewrite README with badges, full API docs, Python examples, device compatibility table, dependency licenses, and ToS disclaimer - Extract all hardcoded layout strings to strings.xml - Add roundIcon support in AndroidManifest - Add GitHub community files: issue templates, PR template, CONTRIBUTING.md, SECURITY.md Co-Authored-By: Claude Opus 4.6 <[email protected]>	2026-02-28 16:03:30 +01:00
alexpolo1andClaude Opus 4.6	01db3cedbc	Fix build: upgrade Kotlin, fix ML Kit/MediaPipe API imports - Bump Kotlin from 2.0.21 to 2.1.20 for ML Kit genai metadata 2.2.0 compat - Fix GeminiNanoModel imports: DownloadStatus/FeatureStatus moved to genai.common, TextPart/generateContentRequest moved out of .type subpackage - Fix MediaPipeModel: replace removed setTopK/setTemperature/setRandomSeed with setMaxTopK (MediaPipe 0.10.24 API) - Fix gradlew: remove broken lines that passed GradleWrapperMain as task arg Co-Authored-By: Claude Opus 4.6 <[email protected]>	2026-02-28 15:50:21 +01:00
Claude	65b5d66e67	Fix API correctness issues found during static audit - GeminiNanoModel: Rewrite to use actual ML Kit Prompt API (Generation.getClient(), checkStatus(), download(), warmup()) - MediaPipeModel: Fix streaming to use sync fallback since MediaPipe requires result listener set at build time - ApiModels: Add @SerializedName("object") for OpenAI compat, add "created" timestamp to ChatResponse/StreamChunk - settings.gradle.kts: Fix dependencyResolutionManagement typo - MainActivity: Use GradientDrawable.setColor() to preserve oval shape on status dot - Add Gradle wrapper scripts (gradlew, gradlew.bat, jar) https://claude.ai/code/session_01GvqMLSMmfMR8uz66BFVXX2	2026-02-28 14:27:46 +00:00
Claude	631bc30c40	Add Pixel10 AI Server — expose on-device AI chip as REST API Android app that turns a Pixel 10 into a free AI API server by leveraging the Tensor G5's on-device AI capabilities through an embedded HTTP server. Key components: - Dual AI backend: Gemini Nano (ML Kit Prompt API) + MediaPipe LLM fallback - OpenAI-compatible REST API (chat/completions, completions, models, health) - NanoHTTPD embedded server with CORS support and SSE streaming - Foreground service with wake lock for persistent background operation - Material Design 3 dashboard with live request logging All inference runs entirely on-device — zero cloud costs, full offline capability. https://claude.ai/code/session_01GvqMLSMmfMR8uz66BFVXX2	2026-02-28 14:09:41 +00:00