remove System.out.println() from tests

langchain4j-anthropic/src/test/java/dev/langchain4j/model/anthropic/AnthropicChatModelIT.java

@@ -70,7 +70,6 @@ void should_generate_answer_and_return_token_usage_and_finish_reason_stop() {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).contains("Berlin");
@@ -146,7 +145,6 @@ void should_respect_maxTokens() {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).isNotBlank();
@@ -166,7 +164,6 @@ void should_respect_system_message() {
 
         // when
         Response<AiMessage> response = model.generate(systemMessage, userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).containsIgnoringCase("liebe");
@@ -189,7 +186,6 @@ void should_respect_stop_sequences() {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).containsIgnoringCase("hello");
@@ -222,7 +218,6 @@ void test_all_parameters() {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).isNotBlank();
@@ -245,7 +240,6 @@ void should_support_all_enum_model_names(AnthropicChatModelName modelName) {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).isNotBlank();
@@ -270,7 +264,6 @@ void should_support_all_string_model_names(AnthropicChatModelName modelName) {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).isNotBlank();

langchain4j-azure-open-ai/src/test/java/dev/langchain4j/model/azure/AzureOpenAiChatModelIT.java

@@ -330,7 +330,6 @@ void should_support_all_string_model_names(AzureOpenAiChatModelName modelName) {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).isNotBlank();

langchain4j-azure-open-ai/src/test/java/dev/langchain4j/model/azure/AzureOpenAiLanguageModelIT.java

@@ -75,7 +75,6 @@ void should_support_all_string_model_names(AzureOpenAiLanguageModelName modelNam
         // when
         String prompt = "Describe the capital of France in 100 words: ";
         Response<String> response = model.generate(prompt);
-        System.out.println(response.toString());
 
         // then
         assertThat(response.finishReason()).isEqualTo(LENGTH);

langchain4j-core/src/test/java/dev/langchain4j/model/chat/TestStreamingResponseHandler.java

@@ -19,13 +19,11 @@ public class TestStreamingResponseHandler<T> implements StreamingResponseHandler
 
     @Override
     public void onNext(String token) {
-        System.out.println("onNext: '" + token + "'");
         textContentBuilder.append(token);
     }
 
     @Override
     public void onComplete(Response<T> response) {
-        System.out.println("onComplete: '" + response + "'");
 
         String expectedTextContent = textContentBuilder.toString();
         if (response.content() instanceof AiMessage) {

langchain4j-core/src/test/java/dev/langchain4j/model/input/PromptTemplateTest.java

@@ -193,7 +193,6 @@ void should_support_special_characters(String s) {
 
         // when
         Prompt prompt = promptTemplate.apply(s);
-        System.out.println(prompt.text());
 
         // then
         assertThat(prompt.text()).isEqualTo("This is " + s + ".");

langchain4j-dashscope/src/test/java/dev/langchain4j/model/dashscope/QwenChatModelIT.java

@@ -37,7 +37,6 @@ public void should_send_non_multimodal_messages_and_receive_response(String mode
                 .build();
 
         Response<AiMessage> response = model.generate(QwenTestHelper.chatMessages());
-        System.out.println(response);
 
         assertThat(response.content().text()).containsIgnoringCase("rain");
     }
@@ -217,7 +216,6 @@ public void should_send_multimodal_image_url_and_receive_response(String modelNa
                 .build();
 
         Response<AiMessage> response = model.generate(multimodalChatMessagesWithImageUrl());
-        System.out.println(response);
 
         assertThat(response.content().text()).containsIgnoringCase("dog");
     }
@@ -231,7 +229,6 @@ public void should_send_multimodal_image_data_and_receive_response(String modelN
                 .build();
 
         Response<AiMessage> response = model.generate(multimodalChatMessagesWithImageData());
-        System.out.println(response);
 
         assertThat(response.content().text()).containsIgnoringCase("parrot");
     }

langchain4j-dashscope/src/test/java/dev/langchain4j/model/dashscope/QwenLanguageModelIT.java

@@ -19,7 +19,6 @@ public void should_send_messages_and_receive_response(String modelName) {
                 .modelName(modelName)
                 .build();
         Response<String> response = model.generate("Please say 'hello' to me");
-        System.out.println(response);
 
         assertThat(response.content()).containsIgnoringCase("hello");
     }

langchain4j-dashscope/src/test/java/dev/langchain4j/model/dashscope/QwenStreamingChatModelIT.java

@@ -24,7 +24,6 @@ public void should_send_non_multimodal_messages_and_receive_response(String mode
         TestStreamingResponseHandler<AiMessage> handler = new TestStreamingResponseHandler<>();
         model.generate(chatMessages(), handler);
         Response<AiMessage> response = handler.get();
-        System.out.println(response);
 
         assertThat(response.content().text()).containsIgnoringCase("rain");
         assertThat(response.content().text()).endsWith("That's all!");
@@ -40,7 +39,6 @@ public void should_send_multimodal_image_url_and_receive_response(String modelNa
         TestStreamingResponseHandler<AiMessage> handler = new TestStreamingResponseHandler<>();
         model.generate(multimodalChatMessagesWithImageUrl(), handler);
         Response<AiMessage> response = handler.get();
-        System.out.println(response);
 
         assertThat(response.content().text()).containsIgnoringCase("dog");
         assertThat(response.content().text()).endsWith("That's all!");
@@ -56,7 +54,6 @@ public void should_send_multimodal_image_data_and_receive_response(String modelN
         TestStreamingResponseHandler<AiMessage> handler = new TestStreamingResponseHandler<>();
         model.generate(multimodalChatMessagesWithImageData(), handler);
         Response<AiMessage> response = handler.get();
-        System.out.println(response);
 
         assertThat(response.content().text()).containsIgnoringCase("parrot");
         assertThat(response.content().text()).endsWith("That's all!");

langchain4j-dashscope/src/test/java/dev/langchain4j/model/dashscope/QwenStreamingLanguageModelIT.java

@@ -23,7 +23,6 @@ public void should_send_messages_and_receive_response(String modelName) {
         TestStreamingResponseHandler<String> handler = new TestStreamingResponseHandler<>();
         model.generate("Please say 'hello' to me", handler);
         Response<String> response = handler.get();
-        System.out.println(response);
 
         assertThat(response.content()).containsIgnoringCase("hello");
     }

langchain4j-easy-rag/src/test/java/dev/langchain4j/rag/easy/EasyRagIT.java

@@ -56,7 +56,6 @@ void RAG_should_be_easy_to_setup() {
                 .build();
 
         String answer = assistant.chat("How many days before the rental can I cancel my booking?");
-        System.out.println(answer);
 
         assertThat(answer).containsAnyOf("17", "61");
     }

langchain4j-hugging-face/src/test/java/dev/langchain4j/model/huggingface/HuggingFaceChatModelIT.java

@@ -32,7 +32,6 @@ public void should_send_messages_and_receive_response() {
         ).content();
 
         assertThat(aiMessage.text()).isNotBlank();
-        System.out.println(aiMessage.text());
     }
 
     @ParameterizedTest

langchain4j-hugging-face/src/test/java/dev/langchain4j/model/huggingface/HuggingFaceLanguageModelIT.java

@@ -26,7 +26,6 @@ public void should_send_prompt_and_receive_response() {
         String answer = model.generate("What is the capital of the USA?").content();
 
         assertThat(answer).containsIgnoringCase("Washington");
-        System.out.println(answer);
     }
 
     @ParameterizedTest

langchain4j-jlama/src/test/java/dev/langchain4j/model/jlama/JlamaChatModelIT.java

@@ -41,7 +41,6 @@ void should_send_messages_and_return_response() {
 
         // when
         Response<AiMessage> response = model.generate(messages);
-        System.out.println(response);
 
         // then
         AiMessage aiMessage = response.content();

langchain4j-jlama/src/test/java/dev/langchain4j/model/jlama/JlamaEmbeddingModelIT.java

@@ -38,7 +38,6 @@ void should_embed() {
 
         // when
         Response<Embedding> response = model.embed(text);
-        System.out.println(response);
 
         // then
         assertThat(response.content().vector()).isNotEmpty();

langchain4j-jlama/src/test/java/dev/langchain4j/model/jlama/JlamaLanguageModelIT.java

@@ -38,7 +38,6 @@ void should_send_prompt_and_return_response() {
 
         // when
         Response<String> response = model.generate(prompt);
-        System.out.println(response);
 
         // then
         assertThat(response.content()).isNotBlank();

langchain4j-local-ai/src/test/java/dev/langchain4j/model/localai/LocalAiChatModelIT.java

@@ -31,7 +31,6 @@ void should_send_user_message_and_return_string_response() {
 
         // when
         String response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response).isNotBlank();
@@ -45,7 +44,6 @@ void should_send_messages_and_return_response() {
 
         // when
         Response<AiMessage> response = model.generate(messages);
-        System.out.println(response);
 
         // then
         AiMessage aiMessage = response.content();

langchain4j-local-ai/src/test/java/dev/langchain4j/model/localai/LocalAiEmbeddingModelIT.java

@@ -24,7 +24,6 @@ void should_embed_text() {
 
         // when
         Response<Embedding> response = model.embed(text);
-        System.out.println(response);
 
         // then
         Embedding embedding = response.content();

langchain4j-local-ai/src/test/java/dev/langchain4j/model/localai/LocalAiLanguageModelIT.java

@@ -25,7 +25,6 @@ void should_send_prompt_and_return_response() {
 
         // when
         Response<String> response = model.generate(prompt);
-        System.out.println(response);
 
         // then
         assertThat(response.content()).isNotBlank();

langchain4j-ollama/src/test/java/dev/langchain4j/model/ollama/OllamaChatModelIT.java

@@ -33,7 +33,6 @@ void should_generate_response() {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         AiMessage aiMessage = response.content();
@@ -66,7 +65,6 @@ void should_respect_numPredict() {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).doesNotContain("Berlin");
@@ -82,7 +80,6 @@ void should_respect_system_message() {
 
         // when
         Response<AiMessage> response = model.generate(systemMessage, userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).containsIgnoringCase("liebe");
@@ -104,7 +101,6 @@ void should_respond_to_few_shot() {
 
         // when
         Response<AiMessage> response = model.generate(messages);
-        System.out.println(response);
 
         // then
         assertThat(response.content().text()).startsWith(">>> 8");

langchain4j-ollama/src/test/java/dev/langchain4j/model/ollama/OllamaEmbeddingModelIT.java

@@ -27,7 +27,6 @@ void should_embed() {
 
         // when
         Response<Embedding> response = model.embed(text);
-        System.out.println(response);
 
         // then
         assertThat(response.content().vector()).isNotEmpty();
@@ -48,7 +47,6 @@ void should_embed_multiple_segments() {
 
         // when
         Response<List<Embedding>> response = model.embedAll(segments);
-        System.out.println(response);
 
         // then
         assertThat(response.content()).hasSize(2);

langchain4j-ollama/src/test/java/dev/langchain4j/model/ollama/OllamaLanguageModelIT.java

@@ -23,7 +23,6 @@ void should_generate_answer() {
 
         // when
         Response<String> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         assertThat(response.content()).contains("Berlin");
@@ -46,7 +45,6 @@ void should_respect_numPredict() {
 
         // when
         Response<String> response = model.generate(prompt);
-        System.out.println(response);
 
         // then
         assertThat(response.content()).doesNotContain("Berlin");

langchain4j-ollama/src/test/java/dev/langchain4j/model/ollama/OllamaOpenAiChatModelIT.java

@@ -35,7 +35,6 @@ void should_generate_response() {
 
         // when
         Response<AiMessage> response = model.generate(userMessage);
-        System.out.println(response);
 
         // then
         AiMessage aiMessage = response.content();

langchain4j-ollama/src/test/java/dev/langchain4j/model/ollama/OllamaOpenAiStreamingChatModelIT.java

@@ -37,7 +37,6 @@ void should_generate_response() {
         TestStreamingResponseHandler<AiMessage> handler = new TestStreamingResponseHandler<>();
         model.generate(userMessage, handler);
         Response<AiMessage> response = handler.get();
-        System.out.println(response);
 
         // then
         AiMessage aiMessage = response.content();

langchain4j-open-ai/src/test/java/dev/langchain4j/model/openai/OpenAiEmbeddingModelIT.java

@@ -32,7 +32,6 @@ void should_embed_single_text() {
 
         // when
         Response<Embedding> response = model.embed(text);
-        System.out.println(response);
 
         // then
         assertThat(response.content().vector()).hasSize(1536);
@@ -56,7 +55,6 @@ void should_embed_multiple_segments() {
 
         // when
         Response<List<Embedding>> response = model.embedAll(segments);
-        System.out.println(response);
 
         // then
         assertThat(response.content()).hasSize(2);
@@ -91,7 +89,6 @@ void should_embed_text_with_embedding_shortening() {
 
         // when
         Response<Embedding> response = model.embed(text);
-        System.out.println(response);
 
         // then
         assertThat(response.content().dimension()).isEqualTo(dimension);

langchain4j-open-ai/src/test/java/dev/langchain4j/model/openai/OpenAiImageModelIT.java

@@ -111,7 +111,6 @@ void should_use_enum_as_model_name() {
 
         // when
         Response<Image> response = model.generate(prompt);
-        System.out.println(response);
 
         // then
         URI remoteImage = response.content().url();

langchain4j-open-ai/src/test/java/dev/langchain4j/model/openai/OpenAiLanguageModelIT.java

@@ -25,7 +25,6 @@ void should_generate_answer_and_return_token_usage_and_finish_reason_stop() {
         String prompt = "What is the capital of Germany?";
 
         Response<String> response = model.generate(prompt);
-        System.out.println(response);
 
         assertThat(response.content()).contains("Berlin");