思考型

 // ... // Set the thinking configuration // Use a thinking budget value appropriate for your model (example value shown here) let generationConfig = GenerationConfig(  thinkingConfig: ThinkingConfig(thinkingBudget: 1024) ) // Specify the config as part of creating the `GenerativeModel` instance let model = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel(  modelName: "GEMINI_MODEL_NAME",  generationConfig: generationConfig ) // ... 

 // ... // Set the thinking configuration // Use a thinking budget value appropriate for your model (example value shown here) val generationConfig = generationConfig {  thinkingConfig = thinkingConfig {  thinkingBudget = 1024  } } // Specify the config as part of creating the `GenerativeModel` instance val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(  modelName = "GEMINI_MODEL_NAME",  generationConfig, ) // ... 

 // ... // Set the thinking configuration // Use a thinking budget value appropriate for your model (example value shown here) ThinkingConfig thinkingConfig = new ThinkingConfig.Builder()  .setThinkingBudget(1024)  .build(); GenerationConfig generationConfig = GenerationConfig.builder()  .setThinkingConfig(thinkingConfig)  .build(); // Specify the config as part of creating the `GenerativeModel` instance GenerativeModelFutures model = GenerativeModelFutures.from(  FirebaseAI.getInstance(GenerativeBackend.googleAI())  .generativeModel(  /* modelName */ "GEMINI_MODEL_NAME",  /* generationConfig */ generationConfig  ); ); // ... 

 // ... const ai = getAI(firebaseApp, { backend: new GoogleAIBackend() }); // Set the thinking configuration // Use a thinking budget value appropriate for your model (example value shown here) const generationConfig = {  thinkingConfig: {  thinkingBudget: 1024  } }; // Specify the config as part of creating the `GenerativeModel` instance const model = getGenerativeModel(ai, { model: "GEMINI_MODEL_NAME", generationConfig }); // ... 

 // ... // Set the thinking configuration // Use a thinking budget value appropriate for your model (example value shown here) final thinkingConfig = ThinkingConfig(thinkingBudget: 1024); final generationConfig = GenerationConfig(  thinkingConfig: thinkingConfig ); // Specify the config as part of creating the `GenerativeModel` instance final model = FirebaseAI.googleAI().generativeModel(  model: 'GEMINI_MODEL_NAME',  config: generationConfig, ); // ... 

 // ... // Set the thinking configuration // Use a thinking budget value appropriate for your model (example value shown here) var thinkingConfig = new ThinkingConfig(thinkingBudget: 1024); var generationConfig = new GenerationConfig(  thinkingConfig: thinkingConfig ); // Specify the config as part of creating the `GenerativeModel` instance var model = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI()).GetGenerativeModel(  modelName: "GEMINI_MODEL_NAME",  generationConfig: generationConfig ); // ... 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) let generationConfig = GenerationConfig(  thinkingConfig: ThinkingConfig(includeThoughts: true) ) // Specify the config as part of creating the `GenerativeModel` instance let model = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel(  modelName: "GEMINI_MODEL_NAME",  generationConfig: generationConfig ) let response = try await model.generateContent("solve x^2 + 4x + 4 = 0") // Handle the response that includes thought summaries if let thoughtSummary = response.thoughtSummary {  print("Thought Summary: \(thoughtSummary)") } guard let text = response.text else {  fatalError("No text in response.") } print("Answer: \(text)") 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) val generationConfig = generationConfig {  thinkingConfig = thinkingConfig {  includeThoughts = true  } } // Specify the config as part of creating the `GenerativeModel` instance val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(  modelName = "GEMINI_MODEL_NAME",  generationConfig, ) val response = model.generateContent("solve x^2 + 4x + 4 = 0") // Handle the response that includes thought summaries response.thoughtSummary?.let {  println("Thought Summary: $it") } response.text?.let {  println("Answer: $it") } 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) ThinkingConfig thinkingConfig = new ThinkingConfig.Builder()  .setIncludeThoughts(true)  .build(); GenerationConfig generationConfig = GenerationConfig.builder()  .setThinkingConfig(thinkingConfig)  .build(); // Specify the config as part of creating the `GenerativeModel` instance GenerativeModelFutures model = GenerativeModelFutures.from(  FirebaseAI.getInstance(GenerativeBackend.googleAI())  .generativeModel(  /* modelName */ "GEMINI_MODEL_NAME",  /* generationConfig */ generationConfig  ); ); // Handle the response that includes thought summaries ListenableFuture responseFuture = model.generateContent("solve x^2 + 4x + 4 = 0"); Futures.addCallback(responseFuture, new FutureCallback() {  @Override  public void onSuccess(GenerateContentResponse response) {  if (response.getThoughtSummary() != null) {  System.out.println("Thought Summary: " + response.getThoughtSummary());  }  if (response.getText() != null) {  System.out.println("Answer: " + response.getText());  }  }  @Override  public void onFailure(Throwable t) {  // Handle error  } }, MoreExecutors.directExecutor()); 

 // ... const ai = getAI(firebaseApp, { backend: new GoogleAIBackend() }); // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) const generationConfig = {  thinkingConfig: {  includeThoughts: true  } }; // Specify the config as part of creating the `GenerativeModel` instance const model = getGenerativeModel(ai, { model: "GEMINI_MODEL_NAME", generationConfig }); const result = await model.generateContent("solve x^2 + 4x + 4 = 0"); const response = result.response; // Handle the response that includes thought summaries if (response.thoughtSummary()) {  console.log(`Thought Summary: ${response.thoughtSummary()}`); } const text = response.text(); console.log(`Answer: ${text}`); 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) final thinkingConfig = ThinkingConfig(includeThoughts: true); final generationConfig = GenerationConfig(  thinkingConfig: thinkingConfig ); // Specify the config as part of creating the `GenerativeModel` instance final model = FirebaseAI.googleAI().generativeModel(  model: 'GEMINI_MODEL_NAME',  generationConfig: generationConfig, ); final response = await model.generateContent('solve x^2 + 4x + 4 = 0'); // Handle the response that includes thought summaries if (response.thoughtSummary != null) {  print('Thought Summary: ${response.thoughtSummary}'); } if (response.text != null) {  print('Answer: ${response.text}'); } 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) var thinkingConfig = new ThinkingConfig(includeThoughts: true); var generationConfig = new GenerationConfig(  thinkingConfig: thinkingConfig ); // Specify the config as part of creating the `GenerativeModel` instance var model = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI()).GetGenerativeModel(  modelName: "GEMINI_MODEL_NAME",  generationConfig: generationConfig ); var response = await model.GenerateContentAsync("solve x^2 + 4x + 4 = 0"); // Handle the response that includes thought summaries if (response.ThoughtSummary != null) {  Debug.Log($"Thought Summary: {response.ThoughtSummary}"); } if (response.Text != null) {  Debug.Log($"Answer: {response.Text}"); } 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) let generationConfig = GenerationConfig(  thinkingConfig: ThinkingConfig(includeThoughts: true) ) // Specify the config as part of creating the `GenerativeModel` instance let model = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel(  modelName: "GEMINI_MODEL_NAME",  generationConfig: generationConfig ) let stream = try model.generateContentStream("solve x^2 + 4x + 4 = 0") // Handle the streamed response that includes thought summaries var thoughts = "" var answer = "" for try await response in stream {  if let thought = response.thoughtSummary {  if thoughts.isEmpty {  print("--- Thoughts Summary ---")  }  print(thought)  thoughts += thought  }  if let text = response.text {  if answer.isEmpty {  print("--- Answer ---")  }  print(text)  answer += text  } } 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) val generationConfig = generationConfig {  thinkingConfig = thinkingConfig {  includeThoughts = true  } } // Specify the config as part of creating the `GenerativeModel` instance val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(  modelName = "GEMINI_MODEL_NAME",  generationConfig, ) // Handle the streamed response that includes thought summaries var thoughts = "" var answer = "" model.generateContentStream("solve x^2 + 4x + 4 = 0").collect { response ->  response.thoughtSummary?.let {  if (thoughts.isEmpty()) {  println("--- Thoughts Summary ---")  }  print(it)  thoughts += it  }  response.text?.let {  if (answer.isEmpty()) {  println("--- Answer ---")  }  print(it)  answer += it  } } 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) ThinkingConfig thinkingConfig = new ThinkingConfig.Builder()  .setIncludeThoughts(true)  .build(); GenerationConfig generationConfig = GenerationConfig.builder()  .setThinkingConfig(thinkingConfig)  .build(); // Specify the config as part of creating the `GenerativeModel` instance GenerativeModelFutures model = GenerativeModelFutures.from(  FirebaseAI.getInstance(GenerativeBackend.googleAI())  .generativeModel(  /* modelName */ "GEMINI_MODEL_NAME",  /* generationConfig */ generationConfig  ); ); // Streaming with Java is complex and depends on the async library used. // This is a conceptual example using a reactive stream. Flowable responseStream = model.generateContentStream("solve x^2 + 4x + 4 = 0"); // Handle the streamed response that includes thought summaries StringBuilder thoughts = new StringBuilder(); StringBuilder answer = new StringBuilder(); responseStream.subscribe(response -> {  if (response.getThoughtSummary() != null) {  if (thoughts.length() == 0) {  System.out.println("--- Thoughts Summary ---");  }  System.out.print(response.getThoughtSummary());  thoughts.append(response.getThoughtSummary());  }  if (response.getText() != null) {  if (answer.length() == 0) {  System.out.println("--- Answer ---");  }  System.out.print(response.getText());  answer.append(response.getText());  } }, throwable -> {  // Handle error }); 

 // ... const ai = getAI(firebaseApp, { backend: new GoogleAIBackend() }); // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) const generationConfig = {  thinkingConfig: {  includeThoughts: true  } }; // Specify the config as part of creating the `GenerativeModel` instance const model = getGenerativeModel(ai, { model: "GEMINI_MODEL_NAME", generationConfig }); const result = await model.generateContentStream("solve x^2 + 4x + 4 = 0"); // Handle the streamed response that includes thought summaries let thoughts = ""; let answer = ""; for await (const chunk of result.stream) {  if (chunk.thoughtSummary()) {  if (thoughts === "") {  console.log("--- Thoughts Summary ---");  }  // In Node.js, process.stdout.write(chunk.thoughtSummary()) could be used  // to avoid extra newlines.  console.log(chunk.thoughtSummary());  thoughts += chunk.thoughtSummary();  }  const text = chunk.text();  if (text) {  if (answer === "") {  console.log("--- Answer ---");  }  // In Node.js, process.stdout.write(text) could be used.  console.log(text);  answer += text;  } } 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) final thinkingConfig = ThinkingConfig(includeThoughts: true); final generationConfig = GenerationConfig(  thinkingConfig: thinkingConfig ); // Specify the config as part of creating the `GenerativeModel` instance final model = FirebaseAI.googleAI().generativeModel(  model: 'GEMINI_MODEL_NAME',  generationConfig: generationConfig, ); final responses = model.generateContentStream('solve x^2 + 4x + 4 = 0'); // Handle the streamed response that includes thought summaries var thoughts = ''; var answer = ''; await for (final response in responses) {  if (response.thoughtSummary != null) {  if (thoughts.isEmpty) {  print('--- Thoughts Summary ---');  }  thoughts += response.thoughtSummary!;  }  if (response.text != null) {  if (answer.isEmpty) {  print('--- Answer ---');  }  answer += response.text!;  } } 

 // ... // Set the thinking configuration // Optionally enable thought summaries in the generated response (default is false) var thinkingConfig = new ThinkingConfig(includeThoughts: true); var generationConfig = new GenerationConfig(  thinkingConfig: thinkingConfig ); // Specify the config as part of creating the `GenerativeModel` instance var model = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI()).GetGenerativeModel(  modelName: "GEMINI_MODEL_NAME",  generationConfig: generationConfig ); var stream = model.GenerateContentStreamAsync("solve x^2 + 4x + 4 = 0"); // Handle the streamed response that includes thought summaries var thoughts = ""; var answer = ""; await foreach (var response in stream) {  if (response.ThoughtSummary != null)  {  if (string.IsNullOrEmpty(thoughts))  {  Debug.Log("--- Thoughts Summary ---");  }  Debug.Log(response.ThoughtSummary);  thoughts += response.ThoughtSummary;  }  if (response.Text != null)  {  if (string.IsNullOrEmpty(answer))  {  Debug.Log("--- Answer ---");  }  Debug.Log(response.Text);  answer += response.Text;  } } 

// ... let response = try await model.generateContent("Why is the sky blue?") if let usageMetadata = response.usageMetadata {  print("Thoughts Token Count: \(usageMetadata.thoughtsTokenCount)") } 

// ... val response = model.generateContent("Why is the sky blue?") response.usageMetadata?.let { usageMetadata ->  println("Thoughts Token Count: ${usageMetadata.thoughtsTokenCount}") } 

// ... ListenableFuture<GenerateContentResponse> response =  model.generateContent("Why is the sky blue?"); Futures.addCallback(response, new FutureCallback<GenerateContentResponse>() {  @Override  public void onSuccess(GenerateContentResponse result) {  String usageMetadata = result.getUsageMetadata();  if (usageMetadata != null) {  System.out.println("Thoughts Token Count: " +  usageMetadata.getThoughtsTokenCount());  }  }  @Override  public void onFailure(Throwable t) {  t.printStackTrace();  } }, executor); 

// ... const response = await model.generateContent("Why is the sky blue?"); if (response?.usageMetadata?.thoughtsTokenCount != null) {  console.log(`Thoughts Token Count: ${response.usageMetadata.thoughtsTokenCount}`); } 

// ... final response = await model.generateContent(  Content.text("Why is the sky blue?"), ]); if (response?.usageMetadata case final usageMetadata?) {  print("Thoughts Token Count: ${usageMetadata.thoughtsTokenCount}"); } 

// ... var response = await model.GenerateContentAsync("Why is the sky blue?"); if (response.UsageMetadata != null) {  UnityEngine.Debug.Log($"Thoughts Token Count: {response.UsageMetadata?.ThoughtsTokenCount}"); }