fix: Android app UI improvements, SDK concurrency bug fixes, and LoRA download support

Android App:
- Redesign intro screen with minimal layout and linear progress bar
- Improve VLM screen: use shared ModelRequiredOverlay, theme-consistent colors,
  fix button clipping (replace IconButton with clickable Column)
- Fix keyboard handling: hide bottom bar when keyboard open, apply imePadding correctly
- Add scrollable auto-scroll prompt suggestions in ChatScreen
- Add shimmer typing indicator with "Thinking..." label
- Fix 9 app-level bugs: think tag leak, CancellationException handling,
  VoiceAssistant lifecycle, ConversationStore ANR, TTS sample rate parsing,
  LoRA download mutex deadlock

KMP SDK (10 bug fixes):
- Fix cancel() deadlock: move JNI calls outside synchronized(lock) in CppBridgeLLM
- Fix orphaned CoroutineScope leak in generateStream using callbackFlow
- Fix initializeServices() holding lock across network I/O
- Fix loraDownloadDir lazy val caching wrong path before pathProvider set
- Fix setBaseDirCallback TOCTOU race condition
- Add @volatile to DownloadTask mutable fields for thread visibility
- Fix unescapeJson() replacement order (process \\\\ before \\n)
- Add downloadLock for atomic cancel/pause/resume operations
- Fix checkNativeLibrary() to actually call native method
- Add ensureServicesReady() to generateStream
- Add LoRA adapter download/delete/path SDK functions

Known issue: Tool-calling may show unexpected behavior when a LoRA adapter is
applied — the model detects the tool call but responds with "I can assist with
this" instead of executing it. Tested with Qwen 2.5 0.5B. This only occurs
when the model has a LoRA adapter loaded.

Author: Siddhesh2377

examples/android/RunAnywhereAI/app/src/main/AndroidManifest.xml

@@ -40,7 +40,7 @@
         <activity
             android:name=".MainActivity"
             android:exported="true"
-            android:windowSoftInputMode="adjustResize"
+            android:windowSoftInputMode="adjustNothing"
             android:theme="@style/Theme.RunAnywhereAI">
             <intent-filter>
                 <action android:name="android.intent.action.MAIN" />

examples/android/RunAnywhereAI/app/src/main/java/com/runanywhere/runanywhereai/data/ConversationStore.kt

@@ -6,9 +6,13 @@ import timber.log.Timber
 import com.runanywhere.runanywhereai.domain.models.ChatMessage
 import com.runanywhere.runanywhereai.domain.models.Conversation
 import com.runanywhere.runanywhereai.domain.models.MessageRole
+import kotlinx.coroutines.CoroutineScope
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.SupervisorJob
 import kotlinx.coroutines.flow.MutableStateFlow
 import kotlinx.coroutines.flow.StateFlow
 import kotlinx.coroutines.flow.asStateFlow
+import kotlinx.coroutines.launch
 import kotlinx.serialization.decodeFromString
 import kotlinx.serialization.encodeToString
 import kotlinx.serialization.json.Json
@@ -42,6 +46,7 @@ class ConversationStore private constructor(context: Context) {
     val currentConversation: StateFlow<Conversation?> = _currentConversation.asStateFlow()
 
     private val conversationsDirectory: File
+    private val ioScope = CoroutineScope(SupervisorJob() + Dispatchers.IO)
     private val json =
         Json {
             prettyPrint = true
@@ -53,7 +58,7 @@ class ConversationStore private constructor(context: Context) {
         if (!conversationsDirectory.exists()) {
             conversationsDirectory.mkdirs()
         }
-        loadConversations()
+        ioScope.launch { loadConversations() }
     }
 
     // MARK: - Public Methods
@@ -127,10 +132,12 @@ class ConversationStore private constructor(context: Context) {
             _currentConversation.value = _conversations.value.firstOrNull()
         }
 
-        // Delete file
-        val file = conversationFileURL(conversation.id)
-        if (file.exists()) {
-            file.delete()
+        // Delete file off main thread
+        ioScope.launch {
+            val file = conversationFileURL(conversation.id)
+            if (file.exists()) {
+                file.delete()
+            }
         }
     }
 
@@ -246,12 +253,14 @@ class ConversationStore private constructor(context: Context) {
      * Save a conversation to disk
      */
     private fun saveConversation(conversation: Conversation) {
-        try {
-            val file = conversationFileURL(conversation.id)
-            val jsonString = json.encodeToString(conversation)
-            file.writeText(jsonString)
-        } catch (e: Exception) {
-            Timber.e(e, "Failed to save conversation")
+        ioScope.launch {
+            try {
+                val file = conversationFileURL(conversation.id)
+                val jsonString = json.encodeToString(conversation)
+                file.writeText(jsonString)
+            } catch (e: Exception) {
+                Timber.e(e, "Failed to save conversation")
+            }
         }
     }
 

examples/android/RunAnywhereAI/app/src/main/java/com/runanywhere/runanywhereai/data/ModelList.kt

@@ -32,15 +32,15 @@ object ModelList {
         AppModel(id = "qwen2.5-0.5b-instruct-q6_k", name = "Qwen 2.5 0.5B Instruct Q6_K",
             url = "https://huggingface.co/Triangle104/Qwen2.5-0.5B-Instruct-Q6_K-GGUF/resolve/main/qwen2.5-0.5b-instruct-q6_k.gguf",
             framework = InferenceFramework.LLAMA_CPP, category = ModelCategory.LANGUAGE,
-            memoryRequirement = 600_000_000),
+            memoryRequirement = 600_000_000, supportsLoraAdapters = true),
         AppModel(id = "lfm2-350m-q4_k_m", name = "LiquidAI LFM2 350M Q4_K_M",
             url = "https://huggingface.co/LiquidAI/LFM2-350M-GGUF/resolve/main/LFM2-350M-Q4_K_M.gguf",
             framework = InferenceFramework.LLAMA_CPP, category = ModelCategory.LANGUAGE,
-            memoryRequirement = 250_000_000, supportsLoraAdapters = true),
+            memoryRequirement = 250_000_000),
         AppModel(id = "lfm2-350m-q8_0", name = "LiquidAI LFM2 350M Q8_0",
             url = "https://huggingface.co/LiquidAI/LFM2-350M-GGUF/resolve/main/LFM2-350M-Q8_0.gguf",
             framework = InferenceFramework.LLAMA_CPP, category = ModelCategory.LANGUAGE,
-            memoryRequirement = 400_000_000, supportsLoraAdapters = true),
+            memoryRequirement = 400_000_000),
         AppModel(id = "lfm2-1.2b-tool-q4_k_m", name = "LiquidAI LFM2 1.2B Tool Q4_K_M",
             url = "https://huggingface.co/LiquidAI/LFM2-1.2B-Tool-GGUF/resolve/main/LFM2-1.2B-Tool-Q4_K_M.gguf",
             framework = InferenceFramework.LLAMA_CPP, category = ModelCategory.LANGUAGE,
@@ -81,46 +81,46 @@ object ModelList {
             )),
     )
 
-    // LoRA Adapters (from Void2377/Qwen on HuggingFace — real standalone LoRA GGUF files)
+    // LoRA Adapters
     private val loraAdapters = listOf(
         LoraAdapterCatalogEntry(
-            id = "chat-assistant-lora",
-            name = "Chat Assistant",
-            description = "Enhances conversational chat ability",
-            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/chat_assistant-lora-Q8_0.gguf",
-            filename = "chat_assistant-lora-Q8_0.gguf",
-            compatibleModelIds = listOf("lfm2-350m-q4_k_m", "lfm2-350m-q8_0"),
-            fileSize = 673_664,
+            id = "code-assistant-lora",
+            name = "Code Assistant",
+            description = "Enhances code generation and programming assistance",
+            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/code-assistant-Q8_0.gguf",
+            filename = "code-assistant-Q8_0.gguf",
+            compatibleModelIds = listOf("qwen2.5-0.5b-instruct-q6_k"),
+            fileSize = 765_952,
             defaultScale = 1.0f,
         ),
         LoraAdapterCatalogEntry(
-            id = "summarizer-lora",
-            name = "Summarizer",
-            description = "Specialized for text summarization tasks",
-            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/summarizer-lora-Q8_0.gguf",
-            filename = "summarizer-lora-Q8_0.gguf",
-            compatibleModelIds = listOf("lfm2-350m-q4_k_m", "lfm2-350m-q8_0"),
-            fileSize = 673_632,
+            id = "reasoning-logic-lora",
+            name = "Reasoning Logic",
+            description = "Improves logical reasoning and step-by-step problem solving",
+            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/reasoning-logic-Q8_0.gguf",
+            filename = "reasoning-logic-Q8_0.gguf",
+            compatibleModelIds = listOf("qwen2.5-0.5b-instruct-q6_k"),
+            fileSize = 765_952,
             defaultScale = 1.0f,
         ),
         LoraAdapterCatalogEntry(
-            id = "translator-lora",
-            name = "Translator",
-            description = "Improves translation between languages",
-            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/translator-lora-Q8_0.gguf",
-            filename = "translator-lora-Q8_0.gguf",
-            compatibleModelIds = listOf("lfm2-350m-q4_k_m", "lfm2-350m-q8_0"),
-            fileSize = 673_632,
+            id = "medical-qa-lora",
+            name = "Medical QA",
+            description = "Enhances medical question answering and health-related responses",
+            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/medical-qa-Q8_0.gguf",
+            filename = "medical-qa-Q8_0.gguf",
+            compatibleModelIds = listOf("qwen2.5-0.5b-instruct-q6_k"),
+            fileSize = 765_952,
             defaultScale = 1.0f,
         ),
         LoraAdapterCatalogEntry(
-            id = "sentiment-lora",
-            name = "Sentiment Analysis",
-            description = "Fine-tuned for sentiment analysis tasks",
-            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/sentiment-lora-Q8_0.gguf",
-            filename = "sentiment-lora-Q8_0.gguf",
-            compatibleModelIds = listOf("lfm2-350m-q4_k_m", "lfm2-350m-q8_0"),
-            fileSize = 673_632,
+            id = "creative-writing-lora",
+            name = "Creative Writing",
+            description = "Improves creative writing, storytelling, and literary style",
+            downloadUrl = "https://huggingface.co/Void2377/Qwen/resolve/main/lora/creative-writing-Q8_0.gguf",
+            filename = "creative-writing-Q8_0.gguf",
+            compatibleModelIds = listOf("qwen2.5-0.5b-instruct-q6_k"),
+            fileSize = 765_952,
             defaultScale = 1.0f,
         ),
     )