Added Lora + Fixed Build-All-Work-Flow (#389)

* feat(lora): add LoRA adapter support across SDK + demo app

  Implement LoRA (Low-Rank Adaptation) adapter hot-swapping for llama.cpp
  backend across all 6 SDK layers (C++ -> C API -> Component -> JNI ->
  Kotlin Bridge -> Kotlin Public API).

  - Add load/remove/clear/query LoRA adapter operations
  - Use vtable dispatch in component layer to decouple librac_commons
    from librac_backend_llamacpp (fixes linker errors)
  - Add LoRA vtable entries to rac_llm_service_ops_t
  - Fix AttachCurrentThread cast for Android NDK C++ JNI build
  - Add RunAnyWhereLora Android demo app with Material 3 Q&A UI
  - Add comprehensive implementation docs with C/C++ API reference

* feat(ci): add selectable build targets to Build All workflow + fix Swift concurrency errors

  Rewrite build-all-test.yml with 9 boolean checkbox inputs so each build
  target can be toggled independently from the GitHub Actions UI:
  - C++ Android Backends (arm64-v8a, armeabi-v7a, x86_64 matrix)
  - C++ iOS Backends (XCFramework)
  - Kotlin SDK (JVM + Android)
  - Swift SDK (iOS/macOS)
  - Web SDK (TypeScript)
  - Flutter SDK (Dart analyze via Melos)
  - React Native SDK (TypeScript via Lerna)
  - Android Example Apps (RunAnywhereAI + RunAnyWhereLora)
  - IntelliJ Plugin

  Fix two Swift strict-concurrency errors that fail the Swift SDK build:
  - LiveTranscriptionSession: add @unchecked Sendable (safe because class
    is @mainactor, all access serialized)
  - RunAnywhere+VisionLanguage: add Sendable conformance to rac_vlm_image_t
    so the C struct can cross the Task boundary in the streaming builder;
    simplify StreamingCollector to start timing at init

* fix(swift): resolve strict concurrency errors in LiveTranscriptionSession and VLM streaming

  LiveTranscriptionSession.swift:
  - Replace [weak self] captures with strong `let session = self` before
    closures to avoid captured var in @Sendable/@task contexts (class is
    @mainactor @unchecked Sendable so strong ref is safe, bounded by
    stream lifecycle)
  - Wrap deprecated startStreamingTranscription call in @available helper
    to silence deprecation warning until migration to transcribeStream API

  RunAnywhere+VisionLanguage.swift:
  - Add `let capturedCImage = cImage` before AsyncThrowingStream closure
    so the Task captures an immutable let instead of a mutable var
  - Add `extension rac_vlm_image_t: @unchecked Sendable {}` for the C
    struct to cross Task concurrency boundaries safely
  - Simplify StreamingCollector to initialize startTime at init instead
    of requiring a separate async start() call

* fix(jni): address CodeRabbit review findings in LoRA JNI functions

  - Replace raw -1 returns with RAC_ERROR_INVALID_HANDLE/RAC_ERROR_INVALID_ARGUMENT
    to match codebase error handling conventions
  - Use getCString() helper instead of raw GetStringUTFChars/ReleaseStringUTFChars
  - Add missing result logging to racLlmComponentRemoveLora and racLlmComponentClearLora
  - Use rac_free() instead of free() in racLlmComponentGetLoraInfo for consistency
  - Clarify LoRA adapter memory ownership comments (adapters freed automatically
    with model per llama.cpp b8011 API — llama_adapter_lora_free is deprecated)

Author: Siddhesh2377