45d43f2645
- LlmEngineBridge.h/.mm: Objective-C++ wrapper around LiteRT-LM C++ API - SleepyAgent-Bridging-Header.h: Swift bridging header - Updated LlmEngine.swift to use the bridge - Added LITERT_INTEGRATION.md with detailed research findings Based on analysis of Google's litert-samples repository: - Google uses C++ bridge pattern for iOS (confirmed in image_segmentation example) - MediaPipe has working Swift API but is deprecated - LiteRT-LM Swift APIs are 'coming soon' The bridge pattern matches how Google AI Edge Gallery iOS app is likely implemented
274 lines
8.1 KiB
Plaintext
274 lines
8.1 KiB
Plaintext
//
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// LlmEngineBridge.mm
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// SleepyAgent
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//
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// Objective-C++ implementation of LiteRT-LM bridge
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//
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#import "LlmEngineBridge.h"
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#include <memory>
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#include <string>
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#include <vector>
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// TODO: Include actual LiteRT-LM headers when available
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// These are placeholder includes - replace with actual paths
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// #include "litert_lm/engine.h"
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// #include "litert_lm/conversation.h"
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// #include "litert_lm/content.h"
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NSString *const kLiteRTLMErrorDomain = @"com.sleepyagent.litert.lm";
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// MARK: - Private Interface
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@interface LlmEngineBridge () {
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// TODO: Replace with actual LiteRT-LM C++ types
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// std::unique_ptr<litert::lm::Engine> _engine;
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// std::unique_ptr<litert::lm::Conversation> _conversation;
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// Stub: Just track state for now
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BOOL _isInitialized;
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NSString *_modelPath;
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LiteRTAccelerator _accelerator;
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NSMutableArray<NSDictionary *> *_history;
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}
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@end
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// MARK: - Response Stream Implementation
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@interface LiteRTResponseStream () {
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NSMutableArray<NSString *> *_chunks;
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NSInteger _currentIndex;
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BOOL _isComplete;
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}
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@end
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@implementation LiteRTResponseStream
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- (instancetype)init {
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self = [super init];
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if (self) {
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_chunks = [NSMutableArray array];
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_currentIndex = 0;
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_isComplete = NO;
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}
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return self;
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}
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- (void)addChunk:(NSString *)chunk {
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[_chunks addObject:chunk];
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}
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- (void)markComplete {
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_isComplete = YES;
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}
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- (nullable NSString *)nextChunk {
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if (_currentIndex < _chunks.count) {
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return _chunks[_currentIndex++];
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}
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return nil;
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}
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- (BOOL)hasMore {
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return _currentIndex < _chunks.count || !_isComplete;
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}
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- (void)close {
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_chunks = nil;
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_isComplete = YES;
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}
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@end
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// MARK: - LlmEngineBridge Implementation
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@implementation LlmEngineBridge
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- (nullable instancetype)initWithModelPath:(NSString *)modelPath
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accelerator:(LiteRTAccelerator)accelerator
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error:(NSError **)error {
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self = [super init];
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if (self) {
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_modelPath = [modelPath copy];
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_accelerator = accelerator;
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_history = [NSMutableArray array];
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// Check if model file exists
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if (![[NSFileManager defaultManager] fileExistsAtPath:modelPath]) {
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if (error) {
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*error = [NSError errorWithDomain:kLiteRTLMErrorDomain
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code:404
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userInfo:@{NSLocalizedDescriptionKey:
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[NSString stringWithFormat:@"Model file not found: %@", modelPath]}];
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}
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return nil;
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}
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// TODO: Initialize actual LiteRT-LM engine
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//
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// Example implementation:
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// auto config = litert::lm::EngineConfig{
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// .model_path = [modelPath UTF8String],
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// .max_num_tokens = 8192
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// };
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//
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// auto accel = (accelerator == LiteRTAcceleratorMetal)
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// ? litert::HwAccelerators::kGpu
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// : litert::HwAccelerators::kCpu;
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//
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// auto result = litert::lm::Engine::Create(config, accel);
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// if (!result.ok()) {
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// if (error) {
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// *error = [NSError errorWithDomain:kLiteRTLMErrorDomain
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// code:1
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// userInfo:@{NSLocalizedDescriptionKey:
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// @(result.status().message().data())}];
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// }
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// return nil;
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// }
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// _engine = std::move(*result);
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//
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// // Create conversation for KV cache
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// auto conv_config = litert::lm::ConversationConfig{};
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// auto conv_result = _engine->CreateConversation(conv_config);
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// if (conv_result.ok()) {
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// _conversation = std::move(*conv_result);
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// }
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// Stub: Simulate successful initialization
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_isInitialized = YES;
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}
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return self;
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}
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- (nullable NSString *)generateResponse:(NSString *)prompt
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error:(NSError **)error {
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if (!_isInitialized) {
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if (error) {
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*error = [NSError errorWithDomain:kLiteRTLMErrorDomain
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code:2
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userInfo:@{NSLocalizedDescriptionKey: @"Engine not initialized"}];
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}
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return nil;
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}
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// TODO: Implement actual generation with LiteRT-LM
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//
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// Example:
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// auto contents = litert::lm::Contents::FromText([prompt UTF8String]);
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// auto response = _conversation->SendMessage(contents);
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// if (response.ok()) {
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// return [NSString stringWithUTF8String:response->text().c_str()];
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// } else {
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// if (error) {
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// *error = [NSError errorWithDomain:kLiteRTLMErrorDomain
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// code:3
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// userInfo:@{NSLocalizedDescriptionKey:
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// @(response.status().message().data())}];
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// }
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// return nil;
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// }
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// Stub: Return placeholder response
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return [NSString stringWithFormat:@"[STUB] LiteRT-LM Swift APIs are coming soon. "
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@"This is a placeholder response for prompt: %@", prompt];
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}
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- (nullable LiteRTResponseStream *)generateResponseStream:(NSString *)prompt
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error:(NSError **)error {
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if (!_isInitialized) {
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if (error) {
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*error = [NSError errorWithDomain:kLiteRTLMErrorDomain
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code:2
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userInfo:@{NSLocalizedDescriptionKey: @"Engine not initialized"}];
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}
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return nil;
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}
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LiteRTResponseStream *stream = [[LiteRTResponseStream alloc] init];
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// TODO: Implement actual streaming with LiteRT-LM
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//
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// Example:
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// auto contents = litert::lm::Contents::FromText([prompt UTF8String]);
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// auto async_response = _conversation->SendMessageAsync(contents);
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//
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// for (const auto& chunk : async_response) {
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// [stream addChunk:@(chunk.text().c_str())];
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// }
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// [stream markComplete];
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// Stub: Simulate streaming with placeholder
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NSArray *words = @[@"LiteRT-LM", @"on", @"iOS", @"requires", @"C++",
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@"integration.", @"Swift", @"APIs", @"are", @"'coming",
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@"soon'", @"per", @"Google.", @"See", @"LITERT_INTEGRATION.md",
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@"for", @"details."];
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for (NSString *word in words) {
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[stream addChunk:[word stringByAppendingString:@" "]];
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}
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[stream markComplete];
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return stream;
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}
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- (void)addToHistory:(NSString *)message
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role:(NSString *)role {
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[_history addObject:@{@"role": role, @"message": message}];
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// TODO: Add to LiteRT-LM conversation history
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// if (_conversation) {
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// auto role_str = [role isEqualToString:@"user"]
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// ? litert::lm::Role::kUser
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// : litert::lm::Role::kAssistant;
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// _conversation->AddMessage(role_str, [message UTF8String]);
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// }
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}
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- (void)clearHistory {
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[_history removeAllObjects];
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// TODO: Reset LiteRT-LM conversation
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// if (_engine) {
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// auto conv_config = litert::lm::ConversationConfig{};
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// auto conv_result = _engine->CreateConversation(conv_config);
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// if (conv_result.ok()) {
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// _conversation = std::move(*conv_result);
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// }
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// }
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}
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- (BOOL)isReady {
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return _isInitialized; // && _engine != nullptr;
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}
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- (NSInteger)maxTokens {
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return 16384; // Default, could query from model
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}
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- (NSInteger)estimateTokens:(NSString *)text {
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// Rough estimation: ~4 characters per token
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return text.length / 4;
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// TODO: Use actual tokenizer
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// if (_engine) {
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// return _engine->EstimateTokens([text UTF8String]);
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// }
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}
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- (void)close {
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// TODO: Release C++ resources
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// _conversation.reset();
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// _engine.reset();
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_isInitialized = NO;
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_modelPath = nil;
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[_history removeAllObjects];
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}
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- (void)dealloc {
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[self close];
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}
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@end
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