Remove deprecations/cleanup

 - Remove deprecated AbstractChatMemoryAdvisor#DEFAULT_CHAT_MEMORY_CONVERSATION_ID
 - Remove deprecated InMemoryChatMemory and replace it with MessageWindowChatMemory
   - Update references

 - Remove deprecated TemplateFormat

Signed-off-by: Ilayaperumal Gopinathan <[email protected]>

Author: ilayaperumalg

spring-ai-client-chat/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java

@@ -53,13 +53,6 @@ public abstract class AbstractChatMemoryAdvisor<T> implements CallAdvisor, Strea
 	 */
 	public static final String CHAT_MEMORY_RETRIEVE_SIZE_KEY = "chat_memory_response_size";
 
-	/**
-	 * The default conversation id to use when no conversation id is provided.
-	 * @deprecated in favor of {@link ChatMemory#DEFAULT_CONVERSATION_ID}.
-	 */
-	@Deprecated
-	public static final String DEFAULT_CHAT_MEMORY_CONVERSATION_ID = "default";
-
 	/**
 	 * The default chat memory retrieve size to use when no retrieve size is provided.
 	 */

spring-ai-client-chat/src/main/java/org/springframework/ai/chat/memory/InMemoryChatMemory.java

@@ -29,7 +29,8 @@
 
 import org.springframework.ai.chat.client.advisor.PromptChatMemoryAdvisor;
 import org.springframework.ai.chat.memory.ChatMemory;
-import org.springframework.ai.chat.memory.InMemoryChatMemory;
+import org.springframework.ai.chat.memory.InMemoryChatMemoryRepository;
+import org.springframework.ai.chat.memory.MessageWindowChatMemory;
 import org.springframework.ai.chat.messages.AssistantMessage;
 import org.springframework.ai.chat.messages.Message;
 import org.springframework.ai.chat.messages.MessageType;
@@ -76,8 +77,10 @@ public void promptChatMemory() {
 			.willReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Your name is John"))),
 					chatResponseMetadata));
 
-		// Initialize an in-memory chat memory to store conversation history
-		ChatMemory chatMemory = new InMemoryChatMemory();
+		// Initialize a message window chat memory to store conversation history
+		ChatMemory chatMemory = MessageWindowChatMemory.builder()
+			.chatMemoryRepository(new InMemoryChatMemoryRepository())
+			.build();
 
 		// Build a ChatClient with default system text and a memory advisor
 		var chatClient = ChatClient.builder(this.chatModel)
@@ -153,8 +156,10 @@ public void streamingPromptChatMemory() {
 						return state;
 					}));
 
-		// Initialize an in-memory chat memory to store conversation history
-		ChatMemory chatMemory = new InMemoryChatMemory();
+		// Initialize a message window chat memory to store conversation history
+		ChatMemory chatMemory = MessageWindowChatMemory.builder()
+			.chatMemoryRepository(new InMemoryChatMemoryRepository())
+			.build();
 
 		// Build a ChatClient with default system text and a memory advisor
 		var chatClient = ChatClient.builder(this.chatModel)

spring-ai-client-chat/src/test/java/org/springframework/ai/chat/client/ChatClientAdvisorTests.java

@@ -534,7 +534,7 @@ IMPORTANT: Refer to the new xref:api/chat-memory.adoc[Chat Memory] documentation
 
 The interface `ChatMemory` represents a storage for chat conversation history. It provides methods to add messages to a conversation, retrieve messages from a conversation, and clear the conversation history.
 
-There are currently four implementations: `InMemoryChatMemory`, `CassandraChatMemory`, `Neo4jChatMemory`, and `JdbcChatMemory`, which provide storage for chat conversation history in-memory, persisted with `time-to-live` in Cassandra, and persisted without `time-to-live` in Neo4j and Jdbc, respectively.
+There are currently four implementations: `CassandraChatMemory`, `Neo4jChatMemory`, and `JdbcChatMemory`, which provide storage for chat conversation history in-memory, persisted with `time-to-live` in Cassandra, and persisted without `time-to-live` in Neo4j and Jdbc, respectively.
 
 === CassandraChatMemory
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc

@@ -26,13 +26,13 @@
 import org.springframework.ai.chat.client.ChatClient;
 import org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor;
 import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
-import org.springframework.ai.chat.memory.InMemoryChatMemory;
+import org.springframework.ai.chat.evaluation.RelevancyEvaluator;
+import org.springframework.ai.chat.memory.MessageWindowChatMemory;
 import org.springframework.ai.chat.model.ChatResponse;
 import org.springframework.ai.document.Document;
 import org.springframework.ai.document.DocumentReader;
 import org.springframework.ai.evaluation.EvaluationRequest;
 import org.springframework.ai.evaluation.EvaluationResponse;
-import org.springframework.ai.chat.evaluation.RelevancyEvaluator;
 import org.springframework.ai.integration.tests.TestApplication;
 import org.springframework.ai.openai.OpenAiChatModel;
 import org.springframework.ai.rag.advisor.RetrievalAugmentationAdvisor;
@@ -133,7 +133,9 @@ void ragWithRequestFilter() {
 
 	@Test
 	void ragWithCompression() {
-		MessageChatMemoryAdvisor memoryAdvisor = MessageChatMemoryAdvisor.builder(new InMemoryChatMemory()).build();
+		MessageChatMemoryAdvisor memoryAdvisor = MessageChatMemoryAdvisor
+			.builder(MessageWindowChatMemory.builder().build())
+			.build();
 
 		RetrievalAugmentationAdvisor ragAdvisor = RetrievalAugmentationAdvisor.builder()
 			.queryTransformers(CompressionQueryTransformer.builder()