Add Phi4 test and fix regex parsing.

extension/llm/apple/ExecuTorchLLM/Exported/ExecuTorchLLMTextRunner.h

@@ -25,12 +25,23 @@ __attribute__((deprecated("This API is experimental.")))
 
  @param modelPath      File system path to the serialized model.
  @param tokenizerPath  File system path to the tokenizer data.
- @param tokens         An array of NSString special tokens to use during tokenization.
+ @return An initialized ExecuTorchLLMTextRunner instance.
+*/
+- (instancetype)initWithModelPath:(NSString *)modelPath
+                    tokenizerPath:(NSString *)tokenizerPath;
+
+/**
+ Initializes a text LLM runner with the given model and tokenizer paths,
+ and a list of special tokens to include in the tokenizer.
+
+ @param modelPath      File system path to the serialized model.
+ @param tokenizerPath  File system path to the tokenizer data.
+ @param specialTokens  An array of NSString special tokens to use during tokenization.
  @return An initialized ExecuTorchLLMTextRunner instance.
 */
 - (instancetype)initWithModelPath:(NSString *)modelPath
                     tokenizerPath:(NSString *)tokenizerPath
-                    specialTokens:(NSArray<NSString *> *)tokens
+                    specialTokens:(NSArray<NSString *> *)specialTokens
     NS_DESIGNATED_INITIALIZER;
 
 /**

extension/llm/apple/ExecuTorchLLM/Exported/ExecuTorchLLMTextRunner.mm

@@ -28,15 +28,22 @@ @implementation ExecuTorchLLMTextRunner {
   std::unique_ptr<llm::TextLLMRunner> _runner;
 }
 
+- (instancetype)initWithModelPath:(NSString*)modelPath
+                    tokenizerPath:(NSString*)tokenizerPath {
+  return [self initWithModelPath:modelPath
+                   tokenizerPath:tokenizerPath
+                   specialTokens:@[]];
+}
+
 - (instancetype)initWithModelPath:(NSString*)modelPath
                     tokenizerPath:(NSString*)tokenizerPath
-                    specialTokens:(NSArray<NSString*>*)tokens {
+                    specialTokens:(NSArray<NSString*>*)specialTokens {
   self = [super init];
   if (self) {
     _modelPath = [modelPath copy];
     _tokenizerPath = [tokenizerPath copy];
     _specialTokens = std::make_unique<std::vector<std::string>>();
-    for (NSString *token in tokens) {
+    for (NSString *token in specialTokens) {
       _specialTokens->emplace_back(token.UTF8String);
     }
   }

extension/llm/apple/ExecuTorchLLM/__tests__/MultimodalRunnerTest.swift

@@ -60,7 +60,7 @@ class MultimodalRunnerTest: XCTestCase {
   let userPrompt = "What's on the picture?"
   let sequenceLength = 768
 
-  func test() {
+  func testLLaVA() {
     let bundle = Bundle(for: type(of: self))
     guard let modelPath = bundle.path(forResource: "llava", ofType: "pte"),
           let tokenizerPath = bundle.path(forResource: "tokenizer", ofType: "bin"),

extension/llm/apple/ExecuTorchLLM/__tests__/TextRunnerTest.swift

@@ -39,7 +39,7 @@ class TextRunnerTest: XCTestCase {
   let userPrompt = "The capital of France is called"
   let sequenceLength = 128
 
-  func test() {
+  func testLLaMA() {
     let bundle = Bundle(for: type(of: self))
     guard let modelPath = bundle.path(forResource: "llama3_2-1B", ofType: "pte"),
           let tokenizerPath = bundle.path(forResource: "tokenizer", ofType: "model") else {
@@ -73,4 +73,39 @@ class TextRunnerTest: XCTestCase {
     }
     XCTAssertTrue(text.lowercased().contains("paris"))
   }
+
+  func testPhi4() {
+    let bundle = Bundle(for: type(of: self))
+    guard let modelPath = bundle.path(forResource: "phi4-mini", ofType: "pte"),
+          let tokenizerPath = bundle.path(forResource: "tokenizer", ofType: "json") else {
+      XCTFail("Couldn't find model or tokenizer files")
+      return
+    }
+    let runner = TextRunner(modelPath: modelPath, tokenizerPath: tokenizerPath)
+    var text = ""
+
+    do {
+      try runner.generate(userPrompt, Config {
+        $0.sequenceLength = sequenceLength
+      }) { token in
+        text += token
+      }
+    } catch {
+      XCTFail("Failed to generate text with error \(error)")
+    }
+    XCTAssertTrue(text.lowercased().contains("paris"))
+
+    text = ""
+    runner.reset()
+    do {
+      try runner.generate(userPrompt, Config {
+        $0.sequenceLength = sequenceLength
+      }) { token in
+        text += token
+      }
+    } catch {
+      XCTFail("Failed to generate text with error \(error)")
+    }
+    XCTAssertTrue(text.lowercased().contains("paris"))
+  }
 }