diff --git a/models/spring-ai-minimax/src/test/java/org/springframework/ai/minimax/api/MiniMaxRetryTests.java b/models/spring-ai-minimax/src/test/java/org/springframework/ai/minimax/api/MiniMaxRetryTests.java
index a9847114b..b20bada56 100644
--- a/models/spring-ai-minimax/src/test/java/org/springframework/ai/minimax/api/MiniMaxRetryTests.java
+++ b/models/spring-ai-minimax/src/test/java/org/springframework/ai/minimax/api/MiniMaxRetryTests.java
@@ -120,11 +120,11 @@ public class MiniMaxRetryTests {
 	}
 
 	@Test
-    public void miniMaxChatNonTransientError() {
-        when(miniMaxApi.chatCompletionEntity(isA(ChatCompletionRequest.class)))
-                .thenThrow(new RuntimeException("Non Transient Error"));
-        assertThrows(RuntimeException.class, () -> chatModel.call(new Prompt("text")));
-    }
+	public void miniMaxChatNonTransientError() {
+		when(miniMaxApi.chatCompletionEntity(isA(ChatCompletionRequest.class)))
+			.thenThrow(new RuntimeException("Non Transient Error"));
+		assertThrows(RuntimeException.class, () -> chatModel.call(new Prompt("text")));
+	}
 
 	@Test
 	public void miniMaxChatStreamTransientError() {
@@ -148,11 +148,11 @@ public class MiniMaxRetryTests {
 	}
 
 	@Test
-    public void miniMaxChatStreamNonTransientError() {
-        when(miniMaxApi.chatCompletionStream(isA(ChatCompletionRequest.class)))
-                .thenThrow(new RuntimeException("Non Transient Error"));
-        assertThrows(RuntimeException.class, () -> chatModel.stream(new Prompt("text")).collectList().block());
-    }
+	public void miniMaxChatStreamNonTransientError() {
+		when(miniMaxApi.chatCompletionStream(isA(ChatCompletionRequest.class)))
+			.thenThrow(new RuntimeException("Non Transient Error"));
+		assertThrows(RuntimeException.class, () -> chatModel.stream(new Prompt("text")).collectList().block());
+	}
 
 	@Test
 	public void miniMaxEmbeddingTransientError() {
@@ -174,11 +174,10 @@ public class MiniMaxRetryTests {
 	}
 
 	@Test
-    public void miniMaxEmbeddingNonTransientError() {
-        when(miniMaxApi.embeddings(isA(EmbeddingRequest.class)))
-                .thenThrow(new RuntimeException("Non Transient Error"));
-        assertThrows(RuntimeException.class, () -> embeddingModel
-                .call(new org.springframework.ai.embedding.EmbeddingRequest(List.of("text1", "text2"), null)));
-    }
+	public void miniMaxEmbeddingNonTransientError() {
+		when(miniMaxApi.embeddings(isA(EmbeddingRequest.class))).thenThrow(new RuntimeException("Non Transient Error"));
+		assertThrows(RuntimeException.class, () -> embeddingModel
+			.call(new org.springframework.ai.embedding.EmbeddingRequest(List.of("text1", "text2"), null)));
+	}
 
 }
diff --git a/models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiRetryTests.java b/models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiRetryTests.java
index 8e2d4a7dd..28b29fcd3 100644
--- a/models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiRetryTests.java
+++ b/models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiRetryTests.java
@@ -131,7 +131,7 @@ public class MistralAiRetryTests {
 	@Test
 	public void mistralAiChatNonTransientError() {
 		when(mistralAiApi.chatCompletionEntity(isA(ChatCompletionRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> chatModel.call(new Prompt("text")));
 	}
 
@@ -161,7 +161,7 @@ public class MistralAiRetryTests {
 	@Disabled("Currently stream() does not implement retry")
 	public void mistralAiChatStreamNonTransientError() {
 		when(mistralAiApi.chatCompletionStream(isA(ChatCompletionRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> chatModel.stream(new Prompt("text")));
 	}
 
@@ -188,9 +188,9 @@ public class MistralAiRetryTests {
 	@Test
 	public void mistralAiEmbeddingNonTransientError() {
 		when(mistralAiApi.embeddings(isA(EmbeddingRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> embeddingModel
-				.call(new org.springframework.ai.embedding.EmbeddingRequest(List.of("text1", "text2"), null)));
+			.call(new org.springframework.ai.embedding.EmbeddingRequest(List.of("text1", "text2"), null)));
 	}
 
 }
diff --git a/models/spring-ai-moonshot/src/test/java/org/springframework/ai/moonshot/MoonshotRetryTests.java b/models/spring-ai-moonshot/src/test/java/org/springframework/ai/moonshot/MoonshotRetryTests.java
index 6463fec5a..4e1df77fa 100644
--- a/models/spring-ai-moonshot/src/test/java/org/springframework/ai/moonshot/MoonshotRetryTests.java
+++ b/models/spring-ai-moonshot/src/test/java/org/springframework/ai/moonshot/MoonshotRetryTests.java
@@ -116,7 +116,7 @@ public class MoonshotRetryTests {
 	@Test
 	public void moonshotChatNonTransientError() {
 		when(moonshotApi.chatCompletionEntity(isA(ChatCompletionRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> chatModel.call(new Prompt("text")));
 	}
 
@@ -144,7 +144,7 @@ public class MoonshotRetryTests {
 	@Test
 	public void moonshotChatStreamNonTransientError() {
 		when(moonshotApi.chatCompletionStream(isA(ChatCompletionRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> chatModel.stream(new Prompt("text")).collectList().block());
 	}
 
diff --git a/models/spring-ai-vertex-ai-embedding/src/test/java/org/springframework/ai/vertexai/embedding/text/VertexAiTextEmbeddingRetryTests.java b/models/spring-ai-vertex-ai-embedding/src/test/java/org/springframework/ai/vertexai/embedding/text/VertexAiTextEmbeddingRetryTests.java
index e6de28579..2638e97e7 100644
--- a/models/spring-ai-vertex-ai-embedding/src/test/java/org/springframework/ai/vertexai/embedding/text/VertexAiTextEmbeddingRetryTests.java
+++ b/models/spring-ai-vertex-ai-embedding/src/test/java/org/springframework/ai/vertexai/embedding/text/VertexAiTextEmbeddingRetryTests.java
@@ -148,12 +148,11 @@ public class VertexAiTextEmbeddingRetryTests {
 	@Test
 	public void vertexAiEmbeddingNonTransientError() {
 		// Setup the mock PredictionServiceClient to throw a non-transient error
-		when(mockPredictionServiceClient.predict(any()))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+		when(mockPredictionServiceClient.predict(any())).thenThrow(new RuntimeException("Non Transient Error"));
 
 		// Assert that a RuntimeException is thrown and not retried
-		assertThrows(RuntimeException.class, () -> embeddingModel
-				.call(new EmbeddingRequest(List.of("text1", "text2"), null)));
+		assertThrows(RuntimeException.class,
+				() -> embeddingModel.call(new EmbeddingRequest(List.of("text1", "text2"), null)));
 
 		// Verify that predict was called only once (no retries for non-transient errors)
 		verify(mockPredictionServiceClient, times(1)).predict(any());
diff --git a/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/VertexAiGeminiRetryTests.java b/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/VertexAiGeminiRetryTests.java
index 3bee40ae6..387d25501 100644
--- a/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/VertexAiGeminiRetryTests.java
+++ b/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/VertexAiGeminiRetryTests.java
@@ -130,7 +130,7 @@ public class VertexAiGeminiRetryTests {
 	public void vertexAiGeminiChatNonTransientError() throws Exception {
 		// Set up the mock GenerativeModel to throw a non-transient RuntimeException
 		when(mockGenerativeModel.generateContent(any(List.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 
 		// Assert that a RuntimeException is thrown when calling the chat model
 		assertThrows(RuntimeException.class, () -> chatModel.call(new Prompt("test prompt")));
diff --git a/models/spring-ai-zhipuai/src/test/java/org/springframework/ai/zhipuai/api/ZhiPuAiRetryTests.java b/models/spring-ai-zhipuai/src/test/java/org/springframework/ai/zhipuai/api/ZhiPuAiRetryTests.java
index 4e50093d8..aa76c1be8 100644
--- a/models/spring-ai-zhipuai/src/test/java/org/springframework/ai/zhipuai/api/ZhiPuAiRetryTests.java
+++ b/models/spring-ai-zhipuai/src/test/java/org/springframework/ai/zhipuai/api/ZhiPuAiRetryTests.java
@@ -135,7 +135,7 @@ public class ZhiPuAiRetryTests {
 	@Test
 	public void zhiPuAiChatNonTransientError() {
 		when(zhiPuAiApi.chatCompletionEntity(isA(ChatCompletionRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> chatModel.call(new Prompt("text")));
 	}
 
@@ -163,7 +163,7 @@ public class ZhiPuAiRetryTests {
 	@Test
 	public void zhiPuAiChatStreamNonTransientError() {
 		when(zhiPuAiApi.chatCompletionStream(isA(ChatCompletionRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+			.thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> chatModel.stream(new Prompt("text")).collectList().block());
 	}
 
@@ -189,10 +189,9 @@ public class ZhiPuAiRetryTests {
 
 	@Test
 	public void zhiPuAiEmbeddingNonTransientError() {
-		when(zhiPuAiApi.embeddings(isA(EmbeddingRequest.class)))
-				.thenThrow(new RuntimeException("Non Transient Error"));
+		when(zhiPuAiApi.embeddings(isA(EmbeddingRequest.class))).thenThrow(new RuntimeException("Non Transient Error"));
 		assertThrows(RuntimeException.class, () -> embeddingModel
-				.call(new org.springframework.ai.embedding.EmbeddingRequest(List.of("text1", "text2"), null)));
+			.call(new org.springframework.ai.embedding.EmbeddingRequest(List.of("text1", "text2"), null)));
 	}
 
 	@Test
@@ -216,7 +215,7 @@ public class ZhiPuAiRetryTests {
 	@Test
 	public void zhiPuAiImageNonTransientError() {
 		when(zhiPuAiImageApi.createImage(isA(ZhiPuAiImageRequest.class)))
-				.thenThrow(new RuntimeException("Transient Error 1"));
+			.thenThrow(new RuntimeException("Transient Error 1"));
 		assertThrows(RuntimeException.class,
 				() -> imageModel.call(new ImagePrompt(List.of(new ImageMessage("Image Message")))));
 	}
diff --git a/pom.xml b/pom.xml
index b3af8247d..2a79d29d1 100644
--- a/pom.xml
+++ b/pom.xml
@@ -221,7 +221,7 @@
 		<maven-site-plugin.version>4.0.0-M13</maven-site-plugin.version>
 		<maven-project-info-reports-plugin.version>3.4.5</maven-project-info-reports-plugin.version>
 		<maven-jar-plugin.version>3.3.0</maven-jar-plugin.version>
-		<spring-javaformat-maven-plugin.version>0.0.39</spring-javaformat-maven-plugin.version>
+		<spring-javaformat-maven-plugin.version>0.0.43</spring-javaformat-maven-plugin.version>
 
 	</properties>
 
diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientTest.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientTest.java
index f5cfba4a6..b5c0427c9 100644
--- a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientTest.java
+++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientTest.java
@@ -468,7 +468,8 @@ public class ChatClientTest {
 		when(chatModel.call(promptCaptor.capture()))
 			.thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("response")))));
 
-		var media = new Media(MimeTypeUtils.IMAGE_JPEG, new DefaultResourceLoader().getResource("classpath:/bikes.json"));
+		var media = new Media(MimeTypeUtils.IMAGE_JPEG,
+				new DefaultResourceLoader().getResource("classpath:/bikes.json"));
 
 		UserMessage message = new UserMessage("User prompt", List.of(media));
 		Prompt prompt = new Prompt(message);
diff --git a/spring-ai-core/src/test/java/org/springframework/ai/embedding/AbstractEmbeddingModelTests.java b/spring-ai-core/src/test/java/org/springframework/ai/embedding/AbstractEmbeddingModelTests.java
index 327732c9e..88ff94632 100644
--- a/spring-ai-core/src/test/java/org/springframework/ai/embedding/AbstractEmbeddingModelTests.java
+++ b/spring-ai-core/src/test/java/org/springframework/ai/embedding/AbstractEmbeddingModelTests.java
@@ -87,7 +87,7 @@ public class AbstractEmbeddingModelTests {
 
 	@Test
 	public void testUnknownModelDimension() {
-		when(embeddingModel.embed(eq("Hello world!"))).thenReturn(new float[]{0.1f, 0.1f, 0.1f});
+		when(embeddingModel.embed(eq("Hello world!"))).thenReturn(new float[] { 0.1f, 0.1f, 0.1f });
 		assertThat(AbstractEmbeddingModel.dimensions(embeddingModel, "unknown_model", "Hello world!")).isEqualTo(3);
 	}
 
diff --git a/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusEmbeddingDimensionsTests.java b/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusEmbeddingDimensionsTests.java
index 132d3673e..78538ee8f 100644
--- a/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusEmbeddingDimensionsTests.java
+++ b/vector-stores/spring-ai-milvus-store/src/test/java/org/springframework/ai/vectorstore/MilvusEmbeddingDimensionsTests.java
@@ -70,8 +70,8 @@ public class MilvusEmbeddingDimensionsTests {
 
 		MilvusVectorStoreConfig config = MilvusVectorStoreConfig.builder().build();
 
-		var dim = new MilvusVectorStore(milvusClient, embeddingModel, config ,true, new TokenCountBatchingStrategy())
-				.embeddingDimensions();
+		var dim = new MilvusVectorStore(milvusClient, embeddingModel, config, true, new TokenCountBatchingStrategy())
+			.embeddingDimensions();
 
 		assertThat(dim).isEqualTo(969);
 
@@ -83,9 +83,9 @@ public class MilvusEmbeddingDimensionsTests {
 
 		when(embeddingModel.dimensions()).thenThrow(new RuntimeException());
 
-		var dim = new MilvusVectorStore(milvusClient, embeddingModel,
-				MilvusVectorStoreConfig.builder().build() ,true, new TokenCountBatchingStrategy())
-						.embeddingDimensions();
+		var dim = new MilvusVectorStore(milvusClient, embeddingModel, MilvusVectorStoreConfig.builder().build(), true,
+				new TokenCountBatchingStrategy())
+			.embeddingDimensions();
 
 		assertThat(dim).isEqualTo(MilvusVectorStore.OPENAI_EMBEDDING_DIMENSION_SIZE);
 		verify(embeddingModel, only()).dimensions();