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Original file line number Diff line number Diff line change
Expand Up @@ -20,24 +20,25 @@
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

import reactor.core.publisher.Flux;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import reactor.core.scheduler.Scheduler;
import reactor.core.scheduler.Schedulers;

import org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor;
import org.springframework.ai.chat.client.ChatClientRequest;
import org.springframework.ai.chat.client.ChatClientResponse;
import org.springframework.ai.chat.client.advisor.api.CallAdvisorChain;
import org.springframework.ai.chat.client.advisor.api.StreamAdvisorChain;
import org.springframework.ai.chat.client.advisor.api.Advisor;
import org.springframework.ai.chat.client.advisor.api.AdvisorChain;
import org.springframework.ai.chat.client.advisor.api.BaseAdvisor;
import org.springframework.ai.chat.client.advisor.api.BaseChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.messages.AssistantMessage;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.MessageType;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.MessageAggregator;
import org.springframework.ai.chat.prompt.PromptTemplate;
import org.springframework.ai.document.Document;
import org.springframework.ai.vectorstore.SearchRequest;
import org.springframework.ai.vectorstore.VectorStore;

/**
Expand All @@ -48,14 +49,22 @@
* @author Christian Tzolov
* @author Thomas Vitale
* @author Oganes Bozoyan
* @author Mark Pollack
* @since 1.0.0
*/
public class VectorStoreChatMemoryAdvisor extends AbstractChatMemoryAdvisor<VectorStore> {
public class VectorStoreChatMemoryAdvisor implements BaseChatMemoryAdvisor {

public static final String CHAT_MEMORY_RETRIEVE_SIZE_KEY = "chat_memory_response_size";
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We could consider renaming this to something more explicit about what it's used for

Suggested change
public static final String CHAT_MEMORY_RETRIEVE_SIZE_KEY = "chat_memory_response_size";
public static final String TOP_K = "chat_memory_vector_store_top_k";

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yea, also maybe move it into the VectorStore interface so it is easier to discover. Let's consider tomorrow.


private static final String DOCUMENT_METADATA_CONVERSATION_ID = "conversationId";

private static final String DOCUMENT_METADATA_MESSAGE_TYPE = "messageType";

/**
* The default chat memory retrieve size to use when no retrieve size is provided.
*/
public static final int DEFAULT_TOP_K = 20;

private static final PromptTemplate DEFAULT_SYSTEM_PROMPT_TEMPLATE = new PromptTemplate("""
{instructions}

Expand All @@ -69,71 +78,84 @@ public class VectorStoreChatMemoryAdvisor extends AbstractChatMemoryAdvisor<Vect

private final PromptTemplate systemPromptTemplate;

private VectorStoreChatMemoryAdvisor(VectorStore vectorStore, String defaultConversationId,
int chatHistoryWindowSize, boolean protectFromBlocking, PromptTemplate systemPromptTemplate, int order) {
super(vectorStore, defaultConversationId, chatHistoryWindowSize, protectFromBlocking, order);
protected final int defaultChatMemoryRetrieveSize;

private final String defaultConversationId;

private final int order;

private final Scheduler scheduler;

private VectorStore vectorStore;

public VectorStoreChatMemoryAdvisor(PromptTemplate systemPromptTemplate, int defaultChatMemoryRetrieveSize,
String defaultConversationId, int order, Scheduler scheduler, VectorStore vectorStore) {
this.systemPromptTemplate = systemPromptTemplate;
this.defaultChatMemoryRetrieveSize = defaultChatMemoryRetrieveSize;
this.defaultConversationId = defaultConversationId;
this.order = order;
this.scheduler = scheduler;
this.vectorStore = vectorStore;
}

public static Builder builder(VectorStore chatMemory) {
return new Builder(chatMemory);
}

@Override
public ChatClientResponse adviseCall(ChatClientRequest chatClientRequest, CallAdvisorChain callAdvisorChain) {
chatClientRequest = this.before(chatClientRequest);

ChatClientResponse chatClientResponse = callAdvisorChain.nextCall(chatClientRequest);

this.after(chatClientResponse);

return chatClientResponse;
public int getOrder() {
return order;
}

@Override
public Flux<ChatClientResponse> adviseStream(ChatClientRequest chatClientRequest,
StreamAdvisorChain streamAdvisorChain) {
Flux<ChatClientResponse> chatClientResponses = this.doNextWithProtectFromBlockingBefore(chatClientRequest,
streamAdvisorChain, this::before);

return new MessageAggregator().aggregateChatClientResponse(chatClientResponses, this::after);
public Scheduler getScheduler() {
return this.scheduler;
}

private ChatClientRequest before(ChatClientRequest chatClientRequest) {
String conversationId = this.doGetConversationId(chatClientRequest.context());
int chatMemoryRetrieveSize = this.doGetChatMemoryRetrieveSize(chatClientRequest.context());

// 1. Retrieve the chat memory for the current conversation.
var searchRequest = SearchRequest.builder()
.query(chatClientRequest.prompt().getUserMessage().getText())
.topK(chatMemoryRetrieveSize)
.filterExpression(DOCUMENT_METADATA_CONVERSATION_ID + "=='" + conversationId + "'")
@Override
public ChatClientRequest before(ChatClientRequest request, AdvisorChain advisorChain) {
String conversationId = getConversationId(request.context());
String query = request.prompt().getUserMessage() != null ? request.prompt().getUserMessage().getText() : "";
int topK = getChatMemoryTopK(request.context());
String filter = DOCUMENT_METADATA_CONVERSATION_ID + "=='" + conversationId + "'";
var searchRequest = org.springframework.ai.vectorstore.SearchRequest.builder()
.query(query)
.topK(topK)
.filterExpression(filter)
.build();
java.util.List<org.springframework.ai.document.Document> documents = this.vectorStore
.similaritySearch(searchRequest);

List<Document> documents = this.getChatMemoryStore().similaritySearch(searchRequest);

// 2. Processed memory messages as a string.
String longTermMemory = documents == null ? ""
: documents.stream().map(Document::getText).collect(Collectors.joining(System.lineSeparator()));
: documents.stream()
.map(org.springframework.ai.document.Document::getText)
.collect(java.util.stream.Collectors.joining(System.lineSeparator()));

// 2. Augment the system message.
SystemMessage systemMessage = chatClientRequest.prompt().getSystemMessage();
org.springframework.ai.chat.messages.SystemMessage systemMessage = request.prompt().getSystemMessage();
String augmentedSystemText = this.systemPromptTemplate
.render(Map.of("instructions", systemMessage.getText(), "long_term_memory", longTermMemory));
.render(java.util.Map.of("instructions", systemMessage.getText(), "long_term_memory", longTermMemory));

// 3. Create a new request with the augmented system message.
ChatClientRequest processedChatClientRequest = chatClientRequest.mutate()
.prompt(chatClientRequest.prompt().augmentSystemMessage(augmentedSystemText))
ChatClientRequest processedChatClientRequest = request.mutate()
.prompt(request.prompt().augmentSystemMessage(augmentedSystemText))
.build();

// 4. Add the new user message to the conversation memory.
UserMessage userMessage = processedChatClientRequest.prompt().getUserMessage();
this.getChatMemoryStore().write(toDocuments(List.of(userMessage), conversationId));
org.springframework.ai.chat.messages.UserMessage userMessage = processedChatClientRequest.prompt()
.getUserMessage();
if (userMessage != null) {
this.vectorStore.write(toDocuments(java.util.List.of(userMessage), conversationId));
}

return processedChatClientRequest;
}

private void after(ChatClientResponse chatClientResponse) {
private int getChatMemoryTopK(Map<String, Object> context) {
return context.containsKey(CHAT_MEMORY_RETRIEVE_SIZE_KEY)
? Integer.parseInt(context.get(CHAT_MEMORY_RETRIEVE_SIZE_KEY).toString())
: this.defaultChatMemoryRetrieveSize;
}

@Override
public ChatClientResponse after(ChatClientResponse chatClientResponse, AdvisorChain advisorChain) {
List<Message> assistantMessages = new ArrayList<>();
if (chatClientResponse.chatResponse() != null) {
assistantMessages = chatClientResponse.chatResponse()
Expand All @@ -142,8 +164,8 @@ private void after(ChatClientResponse chatClientResponse) {
.map(g -> (Message) g.getOutput())
.toList();
}
this.getChatMemoryStore()
.write(toDocuments(assistantMessages, this.doGetConversationId(chatClientResponse.context())));
this.vectorStore.write(toDocuments(assistantMessages, this.getConversationId(chatClientResponse.context())));
return chatClientResponse;
}

private List<Document> toDocuments(List<Message> messages, String conversationId) {
Expand Down Expand Up @@ -173,28 +195,93 @@ else if (message instanceof AssistantMessage assistantMessage) {
return docs;
}

public static class Builder extends AbstractChatMemoryAdvisor.AbstractBuilder<VectorStore> {
/**
* Builder for VectorStoreChatMemoryAdvisor.
*/
public static class Builder {

private PromptTemplate systemPromptTemplate = DEFAULT_SYSTEM_PROMPT_TEMPLATE;

protected Builder(VectorStore chatMemory) {
super(chatMemory);
}
private Integer topK = DEFAULT_TOP_K;

public Builder systemTextAdvise(String systemTextAdvise) {
this.systemPromptTemplate = new PromptTemplate(systemTextAdvise);
return this;
private String conversationId = ChatMemory.DEFAULT_CONVERSATION_ID;

private Scheduler scheduler;

private int order = Advisor.DEFAULT_CHAT_MEMORY_PRECEDENCE_ORDER;

private VectorStore vectorStore;

/**
* Creates a new builder instance.
* @param vectorStore the vector store to use
*/
protected Builder(VectorStore vectorStore) {
this.vectorStore = vectorStore;
}

/**
* Set the system prompt template.
* @param systemPromptTemplate the system prompt template
* @return this builder
*/
public Builder systemPromptTemplate(PromptTemplate systemPromptTemplate) {
this.systemPromptTemplate = systemPromptTemplate;
return this;
}

@Override
/**
* Set the chat memory retrieve size.
* @param topK the chat memory retrieve size
* @return this builder
*/
public Builder topK(int topK) {
this.topK = topK;
return this;
}

/**
* Set the conversation id.
* @param conversationId the conversation id
* @return the builder
*/
public Builder conversationId(String conversationId) {
this.conversationId = conversationId;
return this;
}

/**
* Set whether to protect from blocking.
* @param protectFromBlocking whether to protect from blocking
* @return the builder
*/
public Builder protectFromBlocking(boolean protectFromBlocking) {
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I would remove this in favour of scheduler()

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same comment as before.

this.scheduler = protectFromBlocking ? BaseAdvisor.DEFAULT_SCHEDULER : Schedulers.immediate();
return this;
}

public Builder scheduler(Scheduler scheduler) {
this.scheduler = scheduler;
return this;
}

/**
* Set the order.
* @param order the order
* @return the builder
*/
public Builder order(int order) {
this.order = order;
return this;
}

/**
* Build the advisor.
* @return the advisor
*/
public VectorStoreChatMemoryAdvisor build() {
return new VectorStoreChatMemoryAdvisor(this.chatMemory, this.conversationId, this.chatMemoryRetrieveSize,
this.protectFromBlocking, this.systemPromptTemplate, this.order);
return new VectorStoreChatMemoryAdvisor(this.systemPromptTemplate, this.topK, this.conversationId,
this.order, this.scheduler, this.vectorStore);
}

}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ void messageChatMemoryAdvisor_withPromptMessages_throwsException() {
ChatMemory chatMemory = MessageWindowChatMemory.builder()
.chatMemoryRepository(new InMemoryChatMemoryRepository())
.build();
MessageChatMemoryAdvisor advisor = new MessageChatMemoryAdvisor(chatMemory);
MessageChatMemoryAdvisor advisor = MessageChatMemoryAdvisor.builder(chatMemory).build();

ChatClient chatClient = ChatClient.builder(chatModel).defaultAdvisors(advisor).build();

Expand Down
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