Merge branch 'main' into aws-bedrock-converse

.editorconfig

@@ -0,0 +1,10 @@
+root = true
+
+[*.{adoc,bat,groovy,html,java,js,jsp,kt,kts,md,properties,py,rb,sh,sql,svg,txt,xml,xsd}]
+charset = utf-8
+
+[*.{groovy,java,kt,kts,xml,xsd}]
+indent_style = tab
+indent_size = 4
+continuation_indent_size = 8
+end_of_line = lf

README.md

@@ -89,7 +89,7 @@ Spring AI supports many AI models.  For an overview see here.  Specific models c
 * OpenAI
 * Azure OpenAI
 * Amazon Bedrock (Anthropic, Llama, Cohere, Titan, Jurassic2, Mistral)
-* HuggingFace
+* Hugging Face
 * Google VertexAI (PaLM2, Gemini)
 * Mistral AI
 * Stability AI
@@ -163,7 +163,7 @@ Though the `DocumentWriter` interface isn't exclusively for Vector Database writ
 
 **Vector Stores:**  Vector Databases are instrumental in incorporating your data with AI models.
 They ascertain which document sections the AI should use for generating responses.
-Examples of Vector Databases include Chroma, Postgres, Pinecone, Qdrant, Weaviate, Mongo Atlas, and Redis. Spring AI's `VectorStore` abstraction permits effortless transitions between database implementations.
+Examples of Vector Databases include Chroma, Oracle, Postgres, Pinecone, Qdrant, Weaviate, Mongo Atlas, and Redis. Spring AI's `VectorStore` abstraction permits effortless transitions between database implementations.
 
 
 

document-readers/tika-reader/pom.xml

@@ -21,7 +21,7 @@
 	</scm>
 
 	<properties>
-		<tika.version>2.9.0</tika.version>
+		<tika.version>2.9.2</tika.version>
 	</properties>
 
 	<dependencies>

models/spring-ai-anthropic/src/main/java/org/springframework/ai/anthropic/AnthropicChatModel.java

@@ -41,7 +41,6 @@
 import org.springframework.ai.anthropic.metadata.AnthropicChatResponseMetadata;
 import org.springframework.ai.chat.model.ChatResponse;
 import org.springframework.ai.chat.model.Generation;
-import org.springframework.ai.chat.model.StreamingChatModel;
 import org.springframework.ai.chat.messages.MessageType;
 import org.springframework.ai.chat.metadata.ChatGenerationMetadata;
 import org.springframework.ai.chat.prompt.ChatOptions;
@@ -59,11 +58,12 @@
  * The {@link ChatModel} implementation for the Anthropic service.
  *
  * @author Christian Tzolov
+ * @author luocongqiu
  * @since 1.0.0
  */
 public class AnthropicChatModel extends
 		AbstractFunctionCallSupport<AnthropicApi.RequestMessage, AnthropicApi.ChatCompletionRequest, ResponseEntity<AnthropicApi.ChatCompletion>>
-		implements ChatModel, StreamingChatModel {
+		implements ChatModel {
 
 	private static final Logger logger = LoggerFactory.getLogger(AnthropicChatModel.class);
 
@@ -81,7 +81,7 @@ public class AnthropicChatModel extends
 	/**
 	 * The default options used for the chat completion requests.
 	 */
-	private AnthropicChatOptions defaultOptions;
+	private final AnthropicChatOptions defaultOptions;
 
 	/**
 	 * The retry template used to retry the OpenAI API calls.
@@ -280,20 +280,14 @@ ChatCompletionRequest createRequest(Prompt prompt, boolean stream) {
 				systemPrompt, this.defaultOptions.getMaxTokens(), this.defaultOptions.getTemperature(), stream);
 
 		if (prompt.getOptions() != null) {
-			if (prompt.getOptions() instanceof ChatOptions runtimeOptions) {
-				AnthropicChatOptions updatedRuntimeOptions = ModelOptionsUtils.copyToTarget(runtimeOptions,
-						ChatOptions.class, AnthropicChatOptions.class);
+			AnthropicChatOptions updatedRuntimeOptions = ModelOptionsUtils.copyToTarget(prompt.getOptions(),
+					ChatOptions.class, AnthropicChatOptions.class);
 
-				Set<String> promptEnabledFunctions = this.handleFunctionCallbackConfigurations(updatedRuntimeOptions,
-						IS_RUNTIME_CALL);
-				functionsForThisRequest.addAll(promptEnabledFunctions);
+			Set<String> promptEnabledFunctions = this.handleFunctionCallbackConfigurations(updatedRuntimeOptions,
+					IS_RUNTIME_CALL);
+			functionsForThisRequest.addAll(promptEnabledFunctions);
 
-				request = ModelOptionsUtils.merge(updatedRuntimeOptions, request, ChatCompletionRequest.class);
-			}
-			else {
-				throw new IllegalArgumentException("Prompt options are not of type ChatOptions: "
-						+ prompt.getOptions().getClass().getSimpleName());
-			}
+			request = ModelOptionsUtils.merge(updatedRuntimeOptions, request, ChatCompletionRequest.class);
 		}
 
 		if (this.defaultOptions != null) {

models/spring-ai-anthropic/src/main/java/org/springframework/ai/anthropic/AnthropicChatOptions.java

@@ -25,6 +25,7 @@
 import com.fasterxml.jackson.annotation.JsonInclude.Include;
 import com.fasterxml.jackson.annotation.JsonProperty;
 
+import org.springframework.ai.anthropic.api.AnthropicApi;
 import org.springframework.ai.anthropic.api.AnthropicApi.ChatCompletionRequest;
 import org.springframework.ai.chat.prompt.ChatOptions;
 import org.springframework.ai.model.function.FunctionCallback;
@@ -90,6 +91,11 @@ public Builder withModel(String model) {
 			return this;
 		}
 
+		public Builder withModel(AnthropicApi.ChatModel model) {
+			this.options.model = model.getValue();
+			return this;
+		}
+
 		public Builder withMaxTokens(Integer maxTokens) {
 			this.options.maxTokens = maxTokens;
 			return this;

models/spring-ai-anthropic/src/test/java/org/springframework/ai/anthropic/AnthropicChatModelIT.java

@@ -202,10 +202,11 @@ void functionCallTest() {
 		List<Message> messages = new ArrayList<>(List.of(userMessage));
 
 		var promptOptions = AnthropicChatOptions.builder()
-			.withModel(AnthropicApi.ChatModel.CLAUDE_3_OPUS.getValue())
+			.withModel(AnthropicApi.ChatModel.CLAUDE_3_OPUS)
 			.withFunctionCallbacks(List.of(FunctionCallbackWrapper.builder(new MockWeatherService())
 				.withName("getCurrentWeather")
-				.withDescription("Get the weather in location. Return temperature in 36°F or 36°C format.")
+				.withDescription(
+						"Get the weather in location. Return temperature in 36°F or 36°C format. Use multi-turn if needed.")
 				.build()))
 			.build();
 
@@ -214,9 +215,7 @@ void functionCallTest() {
 		logger.info("Response: {}", response);
 
 		Generation generation = response.getResult();
-		assertThat(generation.getOutput().getContent()).containsAnyOf("30.0", "30");
-		assertThat(generation.getOutput().getContent()).containsAnyOf("10.0", "10");
-		assertThat(generation.getOutput().getContent()).containsAnyOf("15.0", "15");
+		assertThat(generation.getOutput().getContent()).contains("30", "10", "15");
 	}
 
 }

models/spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/AzureOpenAiChatModel.java

@@ -20,9 +20,16 @@
 import com.azure.ai.openai.models.ChatCompletions;
 import com.azure.ai.openai.models.ChatCompletionsFunctionToolCall;
 import com.azure.ai.openai.models.ChatCompletionsFunctionToolDefinition;
+import com.azure.ai.openai.models.ChatCompletionsJsonResponseFormat;
 import com.azure.ai.openai.models.ChatCompletionsOptions;
+import com.azure.ai.openai.models.ChatCompletionsResponseFormat;
+import com.azure.ai.openai.models.ChatCompletionsTextResponseFormat;
 import com.azure.ai.openai.models.ChatCompletionsToolCall;
 import com.azure.ai.openai.models.ChatCompletionsToolDefinition;
+import com.azure.ai.openai.models.ChatMessageContentItem;
+import com.azure.ai.openai.models.ChatMessageImageContentItem;
+import com.azure.ai.openai.models.ChatMessageImageUrl;
+import com.azure.ai.openai.models.ChatMessageTextContentItem;
 import com.azure.ai.openai.models.ChatRequestAssistantMessage;
 import com.azure.ai.openai.models.ChatRequestMessage;
 import com.azure.ai.openai.models.ChatRequestSystemMessage;
@@ -32,23 +39,18 @@
 import com.azure.ai.openai.models.ContentFilterResultsForPrompt;
 import com.azure.ai.openai.models.FunctionCall;
 import com.azure.ai.openai.models.FunctionDefinition;
-import com.azure.ai.openai.models.ChatCompletionsJsonResponseFormat;
-import com.azure.ai.openai.models.ChatCompletionsTextResponseFormat;
-import com.azure.ai.openai.models.ChatCompletionsResponseFormat;
 import com.azure.core.util.BinaryData;
 import com.azure.core.util.IterableStream;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
-
 import org.springframework.ai.azure.openai.metadata.AzureOpenAiChatResponseMetadata;
-import org.springframework.ai.chat.model.ChatModel;
-import org.springframework.ai.chat.model.ChatResponse;
-import org.springframework.ai.chat.model.Generation;
-import org.springframework.ai.chat.model.StreamingChatModel;
 import org.springframework.ai.chat.messages.Message;
 import org.springframework.ai.chat.metadata.ChatGenerationMetadata;
 import org.springframework.ai.chat.metadata.PromptMetadata;
 import org.springframework.ai.chat.metadata.PromptMetadata.PromptFilterMetadata;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.model.Generation;
 import org.springframework.ai.chat.prompt.ChatOptions;
 import org.springframework.ai.chat.prompt.Prompt;
 import org.springframework.ai.model.ModelOptionsUtils;
@@ -58,6 +60,7 @@
 import org.springframework.util.CollectionUtils;
 import reactor.core.publisher.Flux;
 
+import java.util.ArrayList;
 import java.util.Collections;
 import java.util.HashSet;
 import java.util.List;
@@ -74,12 +77,13 @@
  * @author John Blum
  * @author Christian Tzolov
  * @author Grogdunn
+ * @author Benoit Moussaud
+ * @author luocongqiu
  * @see ChatModel
  * @see com.azure.ai.openai.OpenAIClient
  */
-public class AzureOpenAiChatModel
-		extends AbstractFunctionCallSupport<ChatRequestMessage, ChatCompletionsOptions, ChatCompletions>
-		implements ChatModel, StreamingChatModel {
+public class AzureOpenAiChatModel extends
+		AbstractFunctionCallSupport<ChatRequestMessage, ChatCompletionsOptions, ChatCompletions> implements ChatModel {
 
 	private static final String DEFAULT_DEPLOYMENT_NAME = "gpt-35-turbo";
 
@@ -88,14 +92,14 @@ public class AzureOpenAiChatModel
 	private final Logger logger = LoggerFactory.getLogger(getClass());
 
 	/**
-	 * The configuration information for a chat completions request.
+	 * The {@link OpenAIClient} used to interact with the Azure OpenAI service.
 	 */
-	private AzureOpenAiChatOptions defaultOptions;
+	private final OpenAIClient openAIClient;
 
 	/**
-	 * The {@link OpenAIClient} used to interact with the Azure OpenAI service.
+	 * The configuration information for a chat completions request.
 	 */
-	private final OpenAIClient openAIClient;
+	private AzureOpenAiChatOptions defaultOptions;
 
 	public AzureOpenAiChatModel(OpenAIClient microsoftOpenAiClient) {
 		this(microsoftOpenAiClient,
@@ -143,8 +147,7 @@ public ChatResponse call(Prompt prompt) {
 		ChatCompletions chatCompletions = this.callWithFunctionSupport(options);
 		logger.trace("Azure ChatCompletions: {}", chatCompletions);
 
-		List<Generation> generations = chatCompletions.getChoices()
-			.stream()
+		List<Generation> generations = nullSafeList(chatCompletions.getChoices()).stream()
 			.map(choice -> new Generation(choice.getMessage().getContent())
 				.withGenerationMetadata(generateChoiceMetadata(choice)))
 			.toList();
@@ -229,24 +232,17 @@ ChatCompletionsOptions toAzureChatCompletionsOptions(Prompt prompt) {
 		}
 
 		if (prompt.getOptions() != null) {
-			if (prompt.getOptions() instanceof ChatOptions runtimeOptions) {
-				AzureOpenAiChatOptions updatedRuntimeOptions = ModelOptionsUtils.copyToTarget(runtimeOptions,
-						ChatOptions.class, AzureOpenAiChatOptions.class);
-				// JSON merge doesn't due to Azure OpenAI service bug:
-				// https://github.com/Azure/azure-sdk-for-java/issues/38183
-				// options = ModelOptionsUtils.merge(runtimeOptions, options,
-				// ChatCompletionsOptions.class);
-				options = merge(updatedRuntimeOptions, options);
-
-				Set<String> promptEnabledFunctions = this.handleFunctionCallbackConfigurations(updatedRuntimeOptions,
-						IS_RUNTIME_CALL);
-				functionsForThisRequest.addAll(promptEnabledFunctions);
+			AzureOpenAiChatOptions updatedRuntimeOptions = ModelOptionsUtils.copyToTarget(prompt.getOptions(),
+					ChatOptions.class, AzureOpenAiChatOptions.class);
+			// JSON merge doesn't due to Azure OpenAI service bug:
+			// https://github.com/Azure/azure-sdk-for-java/issues/38183
+			// options = ModelOptionsUtils.merge(runtimeOptions, options,
+			// ChatCompletionsOptions.class);
+			options = merge(updatedRuntimeOptions, options);
 
-			}
-			else {
-				throw new IllegalArgumentException("Prompt options are not of type ChatCompletionsOptions:"
-						+ prompt.getOptions().getClass().getSimpleName());
-			}
+			Set<String> promptEnabledFunctions = this.handleFunctionCallbackConfigurations(updatedRuntimeOptions,
+					IS_RUNTIME_CALL);
+			functionsForThisRequest.addAll(promptEnabledFunctions);
 		}
 
 		// Add the enabled functions definitions to the request's tools parameter.
@@ -278,7 +274,17 @@ private ChatRequestMessage fromSpringAiMessage(Message message) {
 
 		switch (message.getMessageType()) {
 			case USER:
-				return new ChatRequestUserMessage(message.getContent());
+				// https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/openai/azure-ai-openai/README.md#text-completions-with-images
+				List<ChatMessageContentItem> items = new ArrayList<>();
+				items.add(new ChatMessageTextContentItem(message.getContent()));
+				if (!CollectionUtils.isEmpty(message.getMedia())) {
+					items.addAll(message.getMedia()
+						.stream()
+						.map(media -> new ChatMessageImageContentItem(
+								new ChatMessageImageUrl(media.getData().toString())))
+						.toList());
+				}
+				return new ChatRequestUserMessage(items);
 			case SYSTEM:
 				return new ChatRequestSystemMessage(message.getContent());
 			case ASSISTANT: