llama: update the library name in JNI and CMake project

examples/llama.android/app/src/main/java/com/example/llama/di/AppModule.kt

@@ -2,7 +2,7 @@ package com.example.llama.di
 
 import android.content.Context
 import android.llama.cpp.InferenceEngine
-import android.llama.cpp.KleidiLlama
+import android.llama.cpp.AiChat
 import android.llama.cpp.TierDetection
 import android.llama.cpp.gguf.GgufMetadataReader
 import com.example.llama.data.db.AppDatabase
@@ -76,7 +76,7 @@ internal abstract class AppModule {
             return if (USE_STUB_ENGINE) {
                 StubInferenceEngine()
             } else {
-                KleidiLlama.getInferenceEngine(context)
+                AiChat.getInferenceEngine(context)
             }
         }
 
@@ -85,7 +85,7 @@ internal abstract class AppModule {
             return if (USE_STUB_ENGINE) {
                 StubTierDetection
             } else {
-                KleidiLlama.getTierDetection(context)
+                AiChat.getTierDetection(context)
             }
         }
 

examples/llama.android/llama/src/main/cpp/CMakeLists.txt

@@ -1,6 +1,6 @@
 cmake_minimum_required(VERSION 3.31.6)
 
-project("kleidi-llama" VERSION 1.0.0 LANGUAGES C CXX)
+project("ai-chat" VERSION 1.0.0 LANGUAGES C CXX)
 
 set(CMAKE_C_STANDARD 11)
 set(CMAKE_C_STANDARD_REQUIRED true)
@@ -17,8 +17,8 @@ set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}" CACHE STRING "" FORCE)
 add_subdirectory(
         ${CMAKE_CURRENT_LIST_DIR}/../../../../../../include/cpu_features
         ${CMAKE_BINARY_DIR}/cpu_features_build)
-add_library(kleidi-llama-cpu-detector SHARED cpu_detector.cpp)
+add_library(cpu-detector SHARED cpu_detector.cpp)
-target_link_libraries(kleidi-llama-cpu-detector
+target_link_libraries(cpu-detector
         PRIVATE CpuFeatures::cpu_features
         android
         log)
@@ -46,7 +46,7 @@ set(LLAMA_SRC ${CMAKE_CURRENT_LIST_DIR}/../../../../../../)
 add_subdirectory(${LLAMA_SRC} build-llama)
 
 add_library(${CMAKE_PROJECT_NAME} SHARED
-        kleidi-llama.cpp)
+        kleidi_llama.cpp)
 
 target_compile_definitions(${CMAKE_PROJECT_NAME} PRIVATE
         GGML_SYSTEM_ARCH=${GGML_SYSTEM_ARCH}

examples/llama.android/llama/src/main/cpp/kleidi_llama.cpp

@@ -23,7 +23,7 @@ static std::string join(const std::vector<T> &values, const std::string &delim)
 /**
  * Logging utils
  */
-#define TAG "kleidi-llama"
+#define TAG "ai-chat"
 #define LOGv(...) __android_log_print(ANDROID_LOG_VERBOSE,  TAG, __VA_ARGS__)
 #define LOGd(...) __android_log_print(ANDROID_LOG_DEBUG,    TAG, __VA_ARGS__)
 #define LOGi(...) __android_log_print(ANDROID_LOG_INFO,     TAG, __VA_ARGS__)

examples/llama.android/llama/src/main/java/android/llama/cpp/AiChat.kt

@@ -5,10 +5,10 @@ import android.llama.cpp.internal.InferenceEngineImpl
 import android.llama.cpp.internal.TierDetectionImpl
 
 /**
- * Main entry point for the Llama Android library.
+ * Main entry point for the Ai Chat library.
  * This is the only class that should be used by library consumers.
  */
-object KleidiLlama {
+object AiChat {
     /**
      * Get the inference engine single instance.
      */

examples/llama.android/llama/src/main/java/android/llama/cpp/TierDetection.kt

@@ -9,7 +9,7 @@ interface TierDetection {
 }
 
 /**
- * ARM optimization tiers supported by the Kleidi-Llama library.
+ * ARM optimization tiers supported by this library.
  * Higher tiers provide better performance on supported hardware.
  */
 enum class LLamaTier(val rawValue: Int, val description: String) {

examples/llama.android/llama/src/main/java/android/llama/cpp/internal/InferenceEngineImpl.kt

@@ -127,7 +127,7 @@ internal class InferenceEngineImpl private constructor(
                 }
                 _state.value = InferenceEngine.State.Initializing
                 Log.i(TAG, "Loading native library...")
-                System.load(File(nativeLibDir, "libkleidi-llama.so").absolutePath)
+                System.load(File(nativeLibDir, "libai-chat.so").absolutePath)
                 init(nativeLibDir)
                 _state.value = InferenceEngine.State.Initialized
                 Log.i(TAG, "Native library loaded! System info: \n${systemInfo()}")

examples/llama.android/llama/src/main/java/android/llama/cpp/internal/TierDetectionImpl.kt

@@ -23,7 +23,7 @@ internal class TierDetectionImpl private constructor(
         private val TAG = TierDetectionImpl::class.simpleName
 
         // CPU feature detection preferences
-        private const val DATASTORE_CPU_DETECTION = "llama_cpu_detection"
+        private const val DATASTORE_CPU_DETECTION = "cpu-detection"
         private const val DATASTORE_VERSION = 1
         private val Context.llamaTierDataStore: DataStore<Preferences>
             by preferencesDataStore(name = DATASTORE_CPU_DETECTION)
@@ -95,7 +95,7 @@ internal class TierDetectionImpl private constructor(
     private fun performOptimalTierDetection(): LLamaTier? {
         try {
             // Load CPU detection library
-            System.loadLibrary("kleidi-llama-cpu-detector")
+            System.loadLibrary("cpu-detector")
             Log.i(TAG, "CPU feature detector loaded successfully")
 
             // Detect optimal tier