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Add Genie NPU backend support (Qualcomm Snapdragon)
- Add RAC_FRAMEWORK_GENIE (=10) and RAC_MODEL_FORMAT_QNN_CONTEXT (=5) across C++ commons, Kotlin SDK, and bridge layers - Register Genie as LLM backend with priority 200 (preferred over CPU) - Example app: add 3 Genie NPU models (Qwen 2.5 7B, Llama 3.2 3B/1B) - Example app: prefer Genie models in ChatViewModel model selection - AndroidManifest: add libcdsprpc.so uses-native-library for QNN HTP - Consume Genie AAR from private repo via Maven coordinate - Build scripts: stage Genie pre-built .so from local/sibling paths - Add ALOGD debug logging in LLM service + service registry for NPU debugging - Flutter: add .gitkeep placeholders for jniLibs/Frameworks directories Genie C++ backend and Kotlin wrapper live in separate private repo: https://github.com/RunanywhereAI/runanywhere-genie Made-with: Cursor
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examples/android/RunAnywhereAI/app/build.gradle.kts

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@@ -220,6 +220,8 @@ dependencies {
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implementation(project(":runanywhere-core-llamacpp")) // ~45MB - LLM text generation
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implementation(project(":runanywhere-core-onnx")) // ~30MB - STT, TTS, VAD
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implementation(project(":runanywhere-core-rag")) // RAG pipeline JNI bindings
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// Genie: closed-source AAR from private repo (or mavenLocal for dev)
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implementation("com.runanywhere.sdk:runanywhere-genie-android:0.1.5-SNAPSHOT")
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// AndroidX Core & Lifecycle
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implementation(libs.androidx.core.ktx)

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

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@@ -27,9 +27,16 @@
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android:supportsRtl="true"
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android:theme="@style/Theme.RunAnywhereAI"
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android:largeHeap="true"
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android:extractNativeLibs="true"
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android:usesCleartextTraffic="false"
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tools:targetApi="35">
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<!-- Qualcomm FastRPC transport library for QNN HTP (NPU) inference.
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Required on API 31+ to make vendor public libraries accessible. -->
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<uses-native-library
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android:name="libcdsprpc.so"
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android:required="false" />
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<!-- 16KB page size support for Android 15+
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Our native libraries are built with 16KB ELF alignment, so we properly
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support 16KB page sizes. This property is informational only - the real

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

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@@ -5,11 +5,13 @@ import com.runanywhere.runanywhereai.data.models.AppModel
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import com.runanywhere.sdk.core.onnx.ONNX
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import com.runanywhere.sdk.core.types.InferenceFramework
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import com.runanywhere.sdk.llm.llamacpp.LlamaCPP
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import com.runanywhere.sdk.llm.genie.Genie
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import com.runanywhere.sdk.public.RunAnywhere
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import com.runanywhere.sdk.public.extensions.LoraAdapterCatalogEntry
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import com.runanywhere.sdk.public.extensions.ModelCompanionFile
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import com.runanywhere.sdk.public.extensions.Models.ModelCategory
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import com.runanywhere.sdk.public.extensions.Models.ModelFileDescriptor
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import com.runanywhere.sdk.foundation.bridge.extensions.CppBridgeModelRegistry
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import com.runanywhere.sdk.public.extensions.registerLoraAdapter
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import com.runanywhere.sdk.public.extensions.registerModel
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import com.runanywhere.sdk.public.extensions.registerMultiFileModel
@@ -125,6 +127,31 @@ object ModelList {
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),
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)
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// Genie NPU Models (Qualcomm Snapdragon 8 Gen 2+)
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// Export models via: python -m qai_hub_models.models.<model>.export --chipset <chipset>
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// Or use pre-built: huggingface-cli download Volko76/Llama-3.2-3B-Genie-Compatible-QNN-Binaries
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// Push to device: adb push <model_dir> /sdcard/Android/data/com.runanywhere.runanywhereai/files/models/<model-id>/
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private val genieModels = listOf(
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AppModel(id = "qwen2_5-7b-instruct-genie", name = "Qwen 2.5 7B (NPU)",
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url = "",
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framework = InferenceFramework.GENIE, category = ModelCategory.LANGUAGE,
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memoryRequirement = 5_000_000_000),
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AppModel(id = "llama-3.2-3b-instruct-genie", name = "Llama 3.2 3B (NPU)",
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url = "",
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framework = InferenceFramework.GENIE, category = ModelCategory.LANGUAGE,
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memoryRequirement = 3_000_000_000),
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AppModel(id = "llama-3.2-1b-instruct-genie", name = "Llama 3.2 1B (NPU)",
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url = "",
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framework = InferenceFramework.GENIE, category = ModelCategory.LANGUAGE,
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memoryRequirement = 1_500_000_000),
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)
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// Pre-loaded Genie model paths on device (for testing NPU models pushed via adb)
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private val genieLocalPaths = mapOf(
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"qwen2_5-7b-instruct-genie" to "/data/local/tmp/genie-model",
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"llama-3.2-1b-instruct-genie" to "/data/local/tmp/genie-llama-1b",
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)
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// VLM
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private val vlmModels = listOf(
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AppModel(id = "smolvlm-500m-instruct-q8_0", name = "SmolVLM 500M Instruct",
@@ -152,6 +179,7 @@ object ModelList {
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try {
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LlamaCPP.register(priority = 100)
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ONNX.register(priority = 100)
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Genie.register(priority = 200)
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Timber.i("Backends registered")
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} catch (e: Exception) {
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Timber.e(e, "Failed to register backends")
@@ -160,6 +188,7 @@ object ModelList {
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val allModels = listOf(
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"LLM/STT/TTS" to (llmModels + sttModels + ttsModels),
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"Genie NPU" to genieModels,
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"Embedding" to embeddingModels,
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"VLM" to vlmModels,
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)
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Timber.i("$label models registered (${models.size})")
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}
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// Set local paths for pre-loaded Genie models (pushed to device via adb)
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for ((modelId, localPath) in genieLocalPaths) {
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try {
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if (CppBridgeModelRegistry.updateDownloadStatus(modelId, localPath)) {
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Timber.i("Set Genie model local path: $modelId -> $localPath")
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} else {
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Timber.w("Failed to set local path for Genie model: $modelId")
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}
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} catch (e: Exception) {
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Timber.e(e, "Error setting Genie model path: $modelId")
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}
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}
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for (adapter in loraAdapters) {
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try {
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RunAnywhere.registerLoraAdapter(adapter)

examples/android/RunAnywhereAI/app/src/main/java/com/runanywhere/runanywhereai/presentation/chat/ChatViewModel.kt

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@@ -741,9 +741,13 @@ class ChatViewModel(application: Application) : AndroidViewModel(application) {
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}
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// Use SDK's model listing API to find chat models
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// Prefer Genie (NPU) models over CPU models for testing
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val allModels = RunAnywhere.availableModels()
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val chatModel =
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allModels.firstOrNull { model ->
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model.category == ModelCategory.LANGUAGE && model.isDownloaded
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&& model.framework == com.runanywhere.sdk.core.types.InferenceFramework.GENIE
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} ?: allModels.firstOrNull { model ->
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model.category == ModelCategory.LANGUAGE && model.isDownloaded
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}
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examples/android/RunAnywhereAI/settings.gradle.kts

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@@ -56,4 +56,9 @@ project(":runanywhere-core-onnx").projectDir =
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// RAG module - Retrieval-Augmented Generation adapter
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include(":runanywhere-core-rag")
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project(":runanywhere-core-rag").projectDir =
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file("../../../sdk/runanywhere-kotlin/modules/runanywhere-core-rag")
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file("../../../sdk/runanywhere-kotlin/modules/runanywhere-core-rag")
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// Genie module - Qualcomm NPU-accelerated LLM (Snapdragon 8 Gen 2+)
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// Now distributed as a closed-source AAR from a private repo.
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// Add the dependency in app/build.gradle.kts:
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// implementation("com.runanywhere.sdk:runanywhere-genie-android:<version>")
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# Web SDK Integration Test Results
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**Date:** 2026-02-26
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**Browser:** Chrome (Playwright MCP, persistent context)
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**URL:** http://localhost:5173
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**Acceleration:** WebGPU
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---
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## Summary
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| Category | Tests | Pass | Fail | Notes |
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|----------|-------|------|------|-------|
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| A. App Load & SDK Init | 5 | 5 | 0 | |
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| B. Model Registry | 4 | 4 | 0 | |
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| F. Storage Tab | 5 | 5 | 0 | |
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| K. Cross-Tab Navigation | 2 | 2 | 0 | |
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| L. Console Error Audit | 1 | 1 | 0 | 0 errors, 0 warnings |
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| M. Settings Tab | 10 | 9 | 0 | 1 note (M1) |
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| N. Chat Tab UI | 10 | 10 | 0 | |
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| O. Vision Tab UI | 8 | 8 | 0 | |
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| P. Voice Tab Pipeline | 5 | 5 | 0 | |
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| Q. Transcribe Tab | 5 | 5 | 0 | |
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| R. Speak Tab Controls | 8 | 7 | 1 | R8 fail |
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| T. Acceleration Badge | 3 | 3 | 0 | |
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| U. Telemetry (Dev) | 3 | 3 | 0 | U1, U2 partial, U11 |
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| **TOTAL** | **69** | **67** | **1** | **1 bug, 1 note** |
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---
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## Bugs Found
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### BUG-001: R8 — No error shown when clicking "Speak" with empty text (Low severity)
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- **Steps:** Navigate to Speak tab → clear textarea → click "Speak"
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- **Expected:** Error message appears (e.g. toast/inline error saying "Enter text to speak")
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- **Actual:** No visible error, no toast, no inline message. Button click silently does nothing.
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- **Console:** No error logged either.
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- **Severity:** Low — not a crash, just missing user feedback.
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- **Suggestion:** Add a toast or inline validation message when Speak is clicked with empty input.
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---
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## Notes / Spec Discrepancies
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### NOTE-001: M1 — Temperature default is 0.9, not 0.7
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- **Spec says:** "Temperature slider renders with value 0.7"
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- **Actual:** Temperature is **0.9**
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- **Verdict:** Likely user-changed value persisted in localStorage, or spec is outdated. Not a bug — the slider renders and functions correctly (range 0.0–2.0, step 0.1).
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### NOTE-002: M3 — Max Tokens default is 4048, not 2048
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- **Spec says:** "Max Tokens stepper shows default value (e.g. 2048)"
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- **Actual:** Value is **4048**
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- **Verdict:** Same as above — likely user-changed persisted value. Stepper works correctly (minus/plus by 500).
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---
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## Detailed Test Results
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### A. App Load and SDK Initialization — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| A1 | 7 tabs render (Chat, Vision, Voice, Transcribe, Speak, Storage, Settings) | **PASS** |
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| A2 | Acceleration badge appears | **PASS** — "WebGPU" |
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| A3 | Console: "RunAnywhere Web SDK initialized successfully" | **PASS** |
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| A4 | Console: "LlamaCpp backend registered" + "ONNX backend registered" | **PASS** |
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| A5 | No JavaScript errors in console | **PASS** — 0 errors, 0 warnings |
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### B. Model Registry and Catalog — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| B1 | Models listed in selector | **PASS** — 6 LLM models shown |
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| B2 | Each model shows "LlamaCpp" framework badge | **PASS** |
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| B3 | Model sizes displayed (250 MB, 400 MB, 500 MB, 600 MB, 800 MB, 1.4 GB) | **PASS** |
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| B4 | Close selector without download — no side effects | **PASS** |
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### F. Storage Tab — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| F1 | "Browser Storage (OPFS)" label shown | **PASS** |
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| F2 | "Choose Storage Folder" button present | **PASS** |
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| F3 | "Import Model File" button present | **PASS** |
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| F4 | Storage stats: 2 Models, 283.0 MB total, 1.1 GB available | **PASS** |
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| F5 | Quota bar renders with proportions | **PASS** — "283.0 MB used / 1.1 GB quota" |
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### K. Cross-Tab Navigation — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| K1 | All 7 tabs render without errors | **PASS** |
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| K2 | Rapid navigation — no crashes | **PASS** |
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### L. Console Error Audit — PASS
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| # | Test | Result |
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|---|------|--------|
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| L1 | Console errors after all tests | **PASS** — 0 errors, 0 warnings (55 total messages, all info/log/verbose) |
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### M. Settings Tab — ALL PASS (1 note)
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| # | Test | Result |
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|---|------|--------|
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| M1 | Temperature slider renders | **PASS** — value: 0.9 (see NOTE-001) |
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| M2 | Temperature range 0.0–2.0, step 0.1 | **PASS** |
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| M3 | Max Tokens default | **PASS** — 4048 (see NOTE-002) |
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| M4 | Minus button decreases by 500 | **PASS** — 4048 → 3548 |
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| M5 | Plus button increases by 500 | **PASS** — 3548 → 4548 |
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| M6 | API Key input (type=password) | **PASS** |
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| M7 | Base URL input renders | **PASS** — placeholder: `https://api.runanywhere.ai` |
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| M8 | Analytics toggle renders + clickable | **PASS** — class="toggle on" |
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| M9 | Documentation link present | **PASS** |
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| M10 | About: SDK 0.1.0, Platform: Web (Emscripten WASM) | **PASS** |
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### N. Chat Tab UI Interaction — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| N1 | Send button disabled when empty | **PASS** |
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| N2 | Send button enables when text typed | **PASS** |
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| N5 | 4 suggestion chips render | **PASS** |
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| N7 | "Get Started" overlay visible when no model loaded | **PASS** |
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| N8 | "Get Started" opens model selection sheet | **PASS** |
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| N9 | Tools toggle renders with "Tools" label | **PASS** |
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| N10 | Tools toggle changes state (adds `active` class) | **PASS** |
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| N11 | New Chat button present | **PASS** |
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| N12 | Model selector shows "Select Model" | **PASS** |
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| N13 | Empty state: "Start a conversation" | **PASS** |
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### O. Vision Tab UI Elements — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| O1 | Model overlay with "Get Started" | **PASS** |
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| O2 | Camera container renders | **PASS**`#vision-camera-container` present |
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| O3 | Capture button (bulb icon) | **PASS** |
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| O4 | Live mode toggle button | **PASS** |
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| O5 | Description panel renders | **PASS** |
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| O6 | Copy button renders | **PASS** |
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| O7 | Model selector: "Select Vision Model" | **PASS** |
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| O8 | Metrics area renders (hidden until first capture) | **PASS** |
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### P. Voice Tab Pipeline Setup — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| P1 | 3 setup cards render (STT, LLM, TTS) | **PASS** |
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| P2 | Step numbers: 1, 2, 3 | **PASS** |
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| P3 | Each shows "Select" status initially | **PASS** — "Select STT model", "Select LLM model", "Select TTS model" |
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| P4 | "Start Voice Assistant" button disabled | **PASS** |
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| P8 | Back button present | **PASS** |
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### Q. Transcribe Tab Mode Controls — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| Q1 | Batch mode selected by default | **PASS**`active` class present |
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| Q2 | Batch description: "Record first, then transcribe" | **PASS** |
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| Q3 | Click Live → activates, description: "Auto-transcribe on silence" | **PASS** |
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| Q4 | Click Batch → reactivates | **PASS** |
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| Q5 | Mic button renders with "Tap to start recording" | **PASS** |
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| Q10 | Model selector: "Select STT Model" | **PASS** |
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### R. Speak Tab Controls — 7 PASS, 1 FAIL
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| # | Test | Result |
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|---|------|--------|
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| R1 | Textarea with placeholder "Enter text to speak..." | **PASS** |
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| R2 | "Surprise me" button renders | **PASS** |
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| R3 | "Surprise me" fills textarea with random text | **PASS** — "What do you call a fake noodle? An impasta!" |
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| R4 | Speed slider default 1.0x | **PASS** — value=1, min=0.5, max=2 |
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| R5 | Speed slider display updates | **PASS** — changed to 1.5x, displayed "1.5x" |
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| R6 | Speak button renders | **PASS** |
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| R7 | Model selector: "Select TTS Model" | **PASS** |
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| R8 | Click Speak with empty text → error message | **FAIL** — no error shown (BUG-001) |
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### T. Acceleration Badge — ALL PASS
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| # | Test | Result |
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|---|------|--------|
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| T1 | Badge renders on page load | **PASS** |
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| T2 | Badge text is "WebGPU" | **PASS** |
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| T3 | Badge visible across all tabs | **PASS** — confirmed in every tab snapshot |
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### U. Telemetry (Dev) — Partial (3 checked)
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| # | Test | Result |
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|---|------|--------|
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| U1 | Console logs for SDK init telemetry | **PASS** — HTTPService, TelemetryService, AnalyticsEventsBridge all logged |
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| U2 | `localStorage['rac_device_id']` is UUID | **PASS**`de9a040f-871d-4a7c-b088-361d5e6922c4` (36 chars) |
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| U11 | Device ID persistence | **PASS** — same UUID as previous sessions |
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| U2-U9 | Network POST verification | **NOT TESTED** — Playwright network capture only showed WASM load; telemetry POSTs may have fired before network interception started |
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---
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## Tests Not Run (require model download/load)
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The following tests require downloading and loading models, which was not performed in this session:
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- **C.** Model Download and OPFS Persistence (C1-C6)
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- **D.** Model Loading into WASM Memory (D1-D5)
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- **E.** Model Unloading and Switching (E1-E3)
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- **G.** Import Model File (G1-G3)
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- **H.** Drag and Drop (H1-H2)
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- **I.** Model Deletion (I1-I6)
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- **J.** Clear All Models (J1-J4)
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- **N3/N4.** Enter key submit / Shift+Enter newline (blocked by model overlay)
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- **N6.** Click suggestion chip → fills and sends
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- **S.** Model-Switch Banner (S1-S4, requires loaded models)
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- **U3-U10.** Telemetry payload verification (requires model operations)
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- **V.** Production Telemetry (pending prod credentials)
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- **M11.** Settings persistence after refresh (not tested to avoid losing browser state)

sdk/runanywhere-commons/include/rac/infrastructure/model_management/rac_model_types.h

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@@ -164,8 +164,9 @@ typedef enum rac_model_format {
164164
RAC_MODEL_FORMAT_ORT = 1, /**< ONNX Runtime format */
165165
RAC_MODEL_FORMAT_GGUF = 2, /**< GGUF format (llama.cpp) */
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RAC_MODEL_FORMAT_BIN = 3, /**< Binary format */
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RAC_MODEL_FORMAT_COREML = 4, /**< Core ML format (.mlmodelc, .mlpackage) */
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RAC_MODEL_FORMAT_UNKNOWN = 99 /**< Unknown format */
167+
RAC_MODEL_FORMAT_COREML = 4, /**< Core ML format (.mlmodelc, .mlpackage) */
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RAC_MODEL_FORMAT_QNN_CONTEXT = 5, /**< QNN context binary (Qualcomm Genie) */
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RAC_MODEL_FORMAT_UNKNOWN = 99 /**< Unknown format */
169170
} rac_model_format_t;
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171172
// =============================================================================
@@ -186,7 +187,8 @@ typedef enum rac_inference_framework {
186187
RAC_FRAMEWORK_NONE = 6, /**< No framework needed */
187188
RAC_FRAMEWORK_MLX = 7, /**< MLX C++ (Apple Silicon VLM) */
188189
RAC_FRAMEWORK_COREML = 8, /**< Core ML (Apple Neural Engine) */
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RAC_FRAMEWORK_WHISPERKIT_COREML = 9, /**< WhisperKit CoreML (Apple Neural Engine STT) */
190+
RAC_FRAMEWORK_WHISPERKIT_COREML = 9, /**< WhisperKit CoreML (Apple Neural Engine STT) */
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RAC_FRAMEWORK_GENIE = 10, /**< Qualcomm Genie (Hexagon NPU LLM) */
190192
RAC_FRAMEWORK_UNKNOWN = 99 /**< Unknown framework */
191193
} rac_inference_framework_t;
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