From f2bcc5bac1a12e96327f468fd174b419796620ac Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Thu, 5 Sep 2024 18:39:54 +0200 Subject: [PATCH 01/24] Refactor advisor architecture in Spring AI - Replace RequestAdvisor and ResponseAdvisor with CallAroundAdvisor and StreamAroundAdvisor - Update AbstractChatMemoryAdvisor to implement new advisor interfaces - Modify DefaultChatClient to use new advisor chain approach - Deprecate RequestResponseAdvisor in favor of new advisor types - Introduce AdvisedRequest and AdvisedResponse classes for better encapsulation - Introduce AdvisedResponse class to encapsulate ChatResponse and advice context - Update AdvisedRequest to include adviseContext and add toPrompt() method - Remove AdvisorObservableHelper class - Update MessageAggregator to support AdvisedResponse - Refactor ChatClientAdvisorTests and add new AdvisorsTests - Update observation conventions and context handling in advisors - Improve type safety and consistency in advisor implementations - Update integration tests to reflect new advisor structure - Refactor DefaultAroundAdvisorChain for better ordering and observation - Update MessageChatMemoryAdvisor to use new AroundAdvisor interface - Revise PromptChatMemoryAdvisor for compatibility with new advisor chain - Refactor QuestionAnswerAdvisor to implement CallAroundAdvisor and StreamAroundAdvisor - Move and update SafeGuardAroundAdvisor for consistency - Enhance SimpleLoggerAdvisor with new AroundAdvisor capabilities - Modify VectorStoreChatMemoryAdvisor to use new advisor interfaces - Remove CacheAroundAdvisor (functionality likely moved elsewhere) - Make CallAroundAdvisor and StreamAroundAdvisor extend Ordered interface --- .../chat/OpenAiPaymentTransactionIT.java | 34 ++- .../VertexAiGeminiPaymentTransactionIT.java | 29 +- .../ai/chat/client/DefaultChatClient.java | 285 ++++-------------- .../chat/client/RequestResponseAdvisor.java | 53 +++- .../advisor/AbstractChatMemoryAdvisor.java | 16 +- .../advisor/AbstractChatMemoryAdvisor2.java | 92 ++++++ .../advisor/DefaultAroundAdvisorChain.java | 96 +++--- .../advisor/MessageChatMemoryAdvisor.java | 53 +++- .../advisor/MessageChatMemoryAdvisor2.java | 97 ++++++ .../advisor/PromptChatMemoryAdvisor.java | 51 +++- .../client/advisor/QuestionAnswerAdvisor.java | 69 ++++- .../{around => }/SafeGuardAroundAdvisor.java | 26 +- .../client/advisor/SimpleLoggerAdvisor.java | 47 ++- .../advisor/VectorStoreChatMemoryAdvisor.java | 53 +++- .../api/AbstractBlaCallAroundAdvisor.java | 68 +++++ .../{ => advisor/api}/AdvisedRequest.java | 77 ++++- .../client/advisor/api/AdvisedResponse.java | 73 +++++ .../ai/chat/client/advisor/api/Advisor.java | 5 +- .../advisor/api/AroundAdvisorChain.java | 9 +- .../client/advisor/api/CallAroundAdvisor.java | 10 +- .../client/advisor/api/RequestAdvisor.java | 46 --- .../client/advisor/api/ResponseAdvisor.java | 97 ------ .../advisor/api/StreamAroundAdvisor.java | 11 +- .../advisor/around/CacheAroundAdvisor.java | 149 --------- .../observation/AdvisorObservableHelper.java | 103 ------- .../AdvisorObservationContext.java | 2 +- .../ai/chat/model/MessageAggregator.java | 22 ++ .../chat/client/ChatClientAdvisorTests.java | 197 ++++++------ .../ai/chat/client/advisor/AdvisorsTests.java | 183 +++++++++++ ...tChatClientObservationConventionTests.java | 7 +- 30 files changed, 1168 insertions(+), 892 deletions(-) create mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java create mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java rename spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/{around => }/SafeGuardAroundAdvisor.java (65%) create mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java rename spring-ai-core/src/main/java/org/springframework/ai/chat/client/{ => advisor/api}/AdvisedRequest.java (64%) create mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedResponse.java delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/RequestAdvisor.java delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/ResponseAdvisor.java delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/around/CacheAroundAdvisor.java delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservableHelper.java create mode 100644 spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java diff --git a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java index 5b0cd73e441..786554ba962 100644 --- a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java +++ b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java @@ -28,11 +28,11 @@ import org.junit.jupiter.params.provider.ValueSource; import org.slf4j.Logger; import org.slf4j.LoggerFactory; -import org.springframework.ai.chat.client.AdvisedRequest; import org.springframework.ai.chat.client.ChatClient; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.converter.BeanOutputConverter; import org.springframework.ai.model.function.FunctionCallbackContext; import org.springframework.ai.openai.OpenAiChatModel; @@ -65,7 +65,7 @@ public class OpenAiPaymentTransactionIT { record TransactionStatusResponse(String id, String status) { } - private static class LoggingAdvisor implements RequestAdvisor, ResponseAdvisor { + private static class LoggingAdvisor implements CallAroundAdvisor { private final Logger logger = LoggerFactory.getLogger(LoggingAdvisor.class); @@ -74,7 +74,23 @@ public String getName() { } @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { + public int getOrder() { + return 0; + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = this.before(advisedRequest); + + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); + + this.observeAfter(advisedResponse); + + return advisedResponse; + } + + private AdvisedRequest before(AdvisedRequest request) { logger.info("System text: \n" + request.systemText()); logger.info("System params: " + request.systemParams()); logger.info("User text: \n" + request.userText()); @@ -86,10 +102,8 @@ public AdvisedRequest adviseRequest(AdvisedRequest request, Map return request; } - @Override - public ChatResponse adviseResponse(ChatResponse response, Map context) { - logger.info("Response: " + response); - return response; + private void observeAfter(AdvisedResponse advisedResponse) { + logger.info("Response: " + advisedResponse.response()); } } diff --git a/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java b/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java index 3954019d4cc..b738c2f812b 100644 --- a/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java +++ b/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java @@ -28,11 +28,11 @@ import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable; import org.slf4j.Logger; import org.slf4j.LoggerFactory; -import org.springframework.ai.chat.client.AdvisedRequest; import org.springframework.ai.chat.client.ChatClient; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.model.function.FunctionCallbackContext; import org.springframework.ai.model.function.FunctionCallbackWrapper.Builder.SchemaType; import org.springframework.ai.vertexai.gemini.VertexAiGeminiChatModel; @@ -65,7 +65,7 @@ public class VertexAiGeminiPaymentTransactionIT { record TransactionStatusResponse(String id, String status) { } - private static class LoggingAdvisor implements RequestAdvisor, ResponseAdvisor { + private static class LoggingAdvisor implements CallAroundAdvisor { private final Logger logger = LoggerFactory.getLogger(LoggingAdvisor.class); @@ -75,7 +75,18 @@ public String getName() { } @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { + public int getOrder() { + return 0; + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + var response = chain.nextAroundCall(before(advisedRequest)); + observeAfter(response); + return response; + } + + private AdvisedRequest before(AdvisedRequest request) { logger.info("System text: \n" + request.systemText()); logger.info("System params: " + request.systemParams()); logger.info("User text: \n" + request.userText()); @@ -87,10 +98,8 @@ public AdvisedRequest adviseRequest(AdvisedRequest request, Map return request; } - @Override - public ChatResponse adviseResponse(ChatResponse response, Map context) { - logger.info("Response: " + response); - return response; + private void observeAfter(AdvisedResponse advisedResponse) { + logger.info("Response: " + advisedResponse.response()); } } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java index 910d8c0d014..7a636ff8574 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java @@ -21,43 +21,38 @@ import java.nio.charset.Charset; import java.util.ArrayList; import java.util.Arrays; +import java.util.Collections; import java.util.HashMap; -import java.util.HashSet; import java.util.List; import java.util.Map; import java.util.concurrent.ConcurrentHashMap; import java.util.function.Consumer; import org.springframework.ai.chat.client.advisor.DefaultAroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.client.advisor.api.Advisor; import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor.StreamResponseMode; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; -import org.springframework.ai.chat.client.advisor.observation.AdvisorObservableHelper; import org.springframework.ai.chat.client.observation.ChatClientObservationContext; import org.springframework.ai.chat.client.observation.ChatClientObservationConvention; import org.springframework.ai.chat.client.observation.ChatClientObservationDocumentation; import org.springframework.ai.chat.client.observation.DefaultChatClientObservationConvention; 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.ChatModel; import org.springframework.ai.chat.model.ChatResponse; -import org.springframework.ai.chat.model.MessageAggregator; import org.springframework.ai.chat.model.StreamingChatModel; import org.springframework.ai.chat.prompt.ChatOptions; import org.springframework.ai.chat.prompt.Prompt; -import org.springframework.ai.chat.prompt.PromptTemplate; import org.springframework.ai.converter.BeanOutputConverter; import org.springframework.ai.converter.StructuredOutputConverter; import org.springframework.ai.model.Media; import org.springframework.ai.model.function.FunctionCallback; import org.springframework.ai.model.function.FunctionCallbackWrapper; -import org.springframework.ai.model.function.FunctionCallingOptions; +import org.springframework.core.Ordered; import org.springframework.core.ParameterizedTypeReference; import org.springframework.core.io.Resource; import org.springframework.util.Assert; @@ -379,41 +374,13 @@ private ChatResponse doGetObservableChatResponse(DefaultChatClientRequestSpec in private ChatResponse doGetChatResponse(DefaultChatClientRequestSpec inputRequestSpec, String formatParam, Observation parentObservation) { - Map advisorContext = new ConcurrentHashMap<>(); - if (StringUtils.hasText(formatParam)) { - advisorContext.put("formatParam", formatParam); - } - advisorContext.putAll(inputRequestSpec.getAdvisorParams()); - - // DefaultChatClientRequestSpec advisedRequestSpec = inputRequestSpec; - AdvisedRequest advisedRequest = toAdvisedRequest(inputRequestSpec); - if (!CollectionUtils.isEmpty(inputRequestSpec.advisors)) { - - // Apply the Request advisors - var currentAdvisors = new ArrayList<>( - AdvisorObservableHelper.extractRequestAdvisors(inputRequestSpec.advisors)); - for (RequestAdvisor advisor : currentAdvisors) { - advisedRequest = AdvisorObservableHelper.adviseRequest(parentObservation, advisor, advisedRequest, - advisorContext); - } - } + AdvisedRequest advisedRequest = toAdvisedRequest(inputRequestSpec, formatParam); // Apply the around advisor chain that terminates with the, last, model call // advisor. - ChatResponse advisedResponse = inputRequestSpec.aroundAdvisorChain.nextAroundCall(advisedRequest, - advisorContext); - - // Apply the Response advisors. - if (!CollectionUtils.isEmpty(inputRequestSpec.getAdvisors())) { - var currentAdvisors = new ArrayList<>( - AdvisorObservableHelper.extractResponseAdvisors(inputRequestSpec.getAdvisors())); - for (ResponseAdvisor advisor : currentAdvisors) { - advisedResponse = AdvisorObservableHelper.adviseResponse(parentObservation, advisor, - advisedResponse, advisorContext); - } - } + AdvisedResponse advisedResponse = inputRequestSpec.aroundAdvisorChain.nextAroundCall(advisedRequest); - return advisedResponse; + return advisedResponse.response(); } public ChatResponse chatResponse() { @@ -426,46 +393,6 @@ public String content() { } - private static Prompt toPrompt(AdvisedRequest advisedRequest, String formatParam) { - - var messages = new ArrayList(advisedRequest.messages()); - - String processedSystemText = advisedRequest.systemText(); - if (StringUtils.hasText(processedSystemText)) { - if (!CollectionUtils.isEmpty(advisedRequest.systemParams())) { - processedSystemText = new PromptTemplate(processedSystemText, advisedRequest.systemParams()).render(); - } - messages.add(new SystemMessage(processedSystemText)); - } - - var processedUserText = StringUtils.hasText(formatParam) - ? advisedRequest.userText() + System.lineSeparator() + "{spring_ai_soc_format}" - : advisedRequest.userText(); - - if (StringUtils.hasText(processedUserText)) { - - Map userParams = new HashMap<>(advisedRequest.userParams()); - if (StringUtils.hasText(formatParam)) { - userParams.put("spring_ai_soc_format", formatParam); - } - if (!CollectionUtils.isEmpty(userParams)) { - processedUserText = new PromptTemplate(processedUserText, userParams).render(); - } - messages.add(new UserMessage(processedUserText, advisedRequest.media())); - } - - if (advisedRequest.chatOptions() instanceof FunctionCallingOptions functionCallingOptions) { - if (!advisedRequest.functionNames().isEmpty()) { - functionCallingOptions.setFunctions(new HashSet<>(advisedRequest.functionNames())); - } - if (!advisedRequest.functionCallbacks().isEmpty()) { - functionCallingOptions.setFunctionCallbacks(advisedRequest.functionCallbacks()); - } - } - - return new Prompt(messages, advisedRequest.chatOptions()); - } - public static class DefaultStreamResponseSpec implements StreamResponseSpec { private final DefaultChatClientRequestSpec request; @@ -487,119 +414,20 @@ private Flux doGetObservableFluxChatResponse(DefaultChatClientRequ observation.parentObservation(contextView.getOrDefault(ObservationThreadLocalAccessor.KEY, null)) .start(); + var initialAdvisedRequest = toAdvisedRequest(inputRequest, ""); + // @formatter:off - return doGetFluxChatResponse(inputRequest, observation) - .doOnError(observation::error) - .doFinally(s -> { - observation.stop(); - }) - .contextWrite(ctx -> ctx.put(ObservationThreadLocalAccessor.KEY, observation)); + // Apply the around advisor chain that terminates with the, last, + // model call advisor. + return inputRequest.aroundAdvisorChain.nextAroundStream(initialAdvisedRequest) + .map(AdvisedResponse::response) + .doOnError(observation::error) + .doFinally(s -> observation.stop()) + .contextWrite(ctx -> ctx.put(ObservationThreadLocalAccessor.KEY, observation)); // @formatter:on }); } - record AdvisedRequestWithContext(AdvisedRequest request, Map advisorContext) { - } - - private Flux doGetFluxChatResponse(DefaultChatClientRequestSpec inputRequest, - Observation parentObservation) { - - Map advisorContext = new ConcurrentHashMap<>(inputRequest.getAdvisorParams()); - - var reqWithContext = new AdvisedRequestWithContext(toAdvisedRequest(inputRequest), advisorContext); - - return Flux.fromIterable(AdvisorObservableHelper.extractRequestAdvisors(inputRequest.advisors)) - .transformDeferredContextual((f, ctx) -> f - // This allows us to call blocking code in reduce - .publishOn(Schedulers.boundedElastic()) - .reduce(reqWithContext, (rwc, advisor) -> { - // Apply the Request advisors - AdvisedRequest advisedRequest = AdvisorObservableHelper.adviseRequest(parentObservation, - advisor, rwc.request, rwc.advisorContext); - return new AdvisedRequestWithContext(advisedRequest, rwc.advisorContext); - })) - .single() - .flatMapMany(rwc -> { - - // Apply the around advisor chain that terminates with the, last, - // model call advisor. - Flux advisedResponse = inputRequest.aroundAdvisorChain.nextAroundStream(rwc.request, - rwc.advisorContext); - - // Apply the Response advisors - if (!CollectionUtils.isEmpty(inputRequest.getAdvisors())) { - - var responseAdvisors = new ArrayList<>( - AdvisorObservableHelper.extractResponseAdvisors(inputRequest.getAdvisors())); - - List perElementResponseAdvisors = responseAdvisors.stream() - .filter(a -> a.getStreamResponseMode() == StreamResponseMode.PER_ELEMENT) - .toList(); - - List onFinishElementResponseAdvisors = responseAdvisors.stream() - .filter(a -> a.getStreamResponseMode() == StreamResponseMode.ON_FINISH_ELEMENT) - .toList(); - - // PER_ELEMENT and ON_FINISH_ELEMENT - advisedResponse = advisedResponse.map(response -> { - // PER_ELEMENT - if (!CollectionUtils.isEmpty(perElementResponseAdvisors)) { - for (ResponseAdvisor advisor : perElementResponseAdvisors) { - response = AdvisorObservableHelper.adviseResponse(parentObservation, advisor, - response, rwc.advisorContext); - } - } - // ON_FINISH_ELEMENT - if (!CollectionUtils.isEmpty(onFinishElementResponseAdvisors)) { - for (ResponseAdvisor advisor : onFinishElementResponseAdvisors) { - boolean withFinishReason = response.getResults() - .stream() - .filter(result -> result != null && result.getMetadata() != null - && StringUtils.hasText(result.getMetadata().getFinishReason())) - .findFirst() - .isPresent(); - - if (withFinishReason) { - response = AdvisorObservableHelper.adviseResponse(parentObservation, advisor, - response, advisorContext); - } - } - } - return response; - }); - - // CUSTOM - // TODO: how to pass the parentObservation to the custom response - // advisor? - List customResponseAdvisors = responseAdvisors.stream() - .filter(a -> a.getStreamResponseMode() == StreamResponseMode.CUSTOM) - .toList(); - if (!CollectionUtils.isEmpty(customResponseAdvisors)) { - for (ResponseAdvisor advisor : customResponseAdvisors) { - advisedResponse = advisor.adviseResponse(advisedResponse, rwc.advisorContext); - } - } - - // AGGREGATE - List aggregateResponseAdvisors = responseAdvisors.stream() - .filter(a -> a.getStreamResponseMode() == StreamResponseMode.AGGREGATE) - .toList(); - - if (!CollectionUtils.isEmpty(aggregateResponseAdvisors)) { - advisedResponse = new MessageAggregator().aggregate(advisedResponse, chatResponse -> { - for (ResponseAdvisor advisor : aggregateResponseAdvisors) { - AdvisorObservableHelper.adviseResponse(parentObservation, advisor, chatResponse, - advisorContext); - } - }); - } - } - - return advisedResponse; - - }); - } - public Flux chatResponse() { return doGetObservableFluxChatResponse(this.request); } @@ -736,37 +564,47 @@ public DefaultChatClientRequestSpec(ChatModel chatModel, String userText, Map adviceContext, - AroundAdvisorChain chain) { - String formatParam = (String) adviceContext.get("formatParam"); - return chatModel.call(toPrompt(advisedRequest, formatParam)); - } - }) - .push(new StreamAroundAdvisor() { - - @Override - public String getName() { - return StreamAroundAdvisor.class.getSimpleName(); - } - @Override - public Flux aroundStream(AdvisedRequest advisedRequest, Map adviceContext, - AroundAdvisorChain chain) { - return chatModel.stream(toPrompt(advisedRequest, null)); - } - }) - .pushAll(this.advisors) - .build(); + this.aroundAdvisorChain = DefaultAroundAdvisorChain.builder(observationRegistry) + // At the stack bottom add the non-streaming and streaming model call advisors. + // They play the role of the last advisor in the around advisor chain. + .push(new CallAroundAdvisor() { + + @Override + public String getName() { + return CallAroundAdvisor.class.getSimpleName(); + } + + @Override + public int getOrder() { + return Ordered.LOWEST_PRECEDENCE; + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + return new AdvisedResponse(chatModel.call(advisedRequest.toPrompt()), Collections.unmodifiableMap(advisedRequest.adviseContext())); + } + }) + .push(new StreamAroundAdvisor() { + + @Override + public String getName() { + return StreamAroundAdvisor.class.getSimpleName(); + } + + @Override + public int getOrder() { + return Ordered.LOWEST_PRECEDENCE; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + return chatModel.stream(advisedRequest.toPrompt()) + .map( chatResponse -> new AdvisedResponse(chatResponse, Collections.unmodifiableMap(advisedRequest.adviseContext()))) + .publishOn(Schedulers.boundedElastic());// TODO add option to disable. + } + }) + .pushAll(this.advisors) + .build(); // @formatter:on } @@ -944,11 +782,16 @@ public StreamResponseSpec stream() { } - private static AdvisedRequest toAdvisedRequest(DefaultChatClientRequestSpec inputRequest) { + private static AdvisedRequest toAdvisedRequest(DefaultChatClientRequestSpec inputRequest, String formatParam) { + Map advisorContext = new ConcurrentHashMap<>(inputRequest.getAdvisorParams()); + if (StringUtils.hasText(formatParam)) { + advisorContext.put("formatParam", formatParam); + } + return new AdvisedRequest(inputRequest.chatModel, inputRequest.userText, inputRequest.systemText, inputRequest.chatOptions, inputRequest.media, inputRequest.functionNames, inputRequest.functionCallbacks, inputRequest.messages, inputRequest.userParams, - inputRequest.systemParams, inputRequest.advisors, inputRequest.advisorParams); + inputRequest.systemParams, inputRequest.advisors, inputRequest.advisorParams, advisorContext); } public static DefaultChatClientRequestSpec toDefaultChatClientRequestSpec(AdvisedRequest advisedRequest, diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java index ab1ca3352d5..7481d8a8f43 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java @@ -16,41 +16,78 @@ package org.springframework.ai.chat.client; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; - +import java.util.Collections; +import java.util.HashMap; import java.util.Map; +import java.util.concurrent.ConcurrentHashMap; +import java.util.concurrent.atomic.AtomicReference; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; import org.springframework.ai.chat.model.ChatModel; import org.springframework.ai.chat.model.ChatResponse; import org.springframework.ai.chat.prompt.Prompt; +import reactor.core.publisher.Flux; + /** * Advisor called before and after the {@link ChatModel#call(Prompt)} and * {@link ChatModel#stream(Prompt)} methods calls. The {@link ChatClient} maintains a * chain of advisors with shared advise context. * - * @deprecated since 1.0.0 please use {@link RequestAdvisor}, {@link ResponseAdvisor} - * instead. + * @deprecated since 1.0.0 please use {@link CallAroundAdvisor}, + * {@link StreamAroundAdvisor}, {@link ObservingAfterAdvisor} instead. * @author Christian Tzolov * @since 1.0.0 */ @Deprecated -public interface RequestResponseAdvisor extends RequestAdvisor, ResponseAdvisor { +public interface RequestResponseAdvisor extends CallAroundAdvisor, StreamAroundAdvisor { @Override default String getName() { return this.getClass().getSimpleName(); } - @Override default AdvisedRequest adviseRequest(AdvisedRequest request, Map adviseContext) { return request; } - @Override default ChatResponse adviseResponse(ChatResponse response, Map adviseContext) { return response; } + default Flux adviseResponse(Flux fluxResponse, Map context) { + return fluxResponse; + } + + @Override + default AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + var context = new HashMap<>(advisedRequest.adviseContext()); + var requestPrim = adviseRequest(advisedRequest, context); + advisedRequest = AdvisedRequest.from(requestPrim) + .withAdviseContext(Collections.unmodifiableMap(context)) + .build(); + + var advisedResponse = chain.nextAroundCall(advisedRequest); + + context = new HashMap<>(advisedResponse.adviseContext()); + var chatResponse = adviseResponse(advisedResponse.response(), context); + return new AdvisedResponse(chatResponse, Collections.unmodifiableMap(context)); + } + + default Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + ConcurrentHashMap context = new ConcurrentHashMap<>(advisedRequest.adviseContext()); + + advisedRequest = adviseRequest(advisedRequest, context); + + var advisedResponseStream = chain.nextAroundStream(advisedRequest); + + return this.adviseResponse(advisedResponseStream.map(ar -> ar.response()), context) + .map(chatResponse -> new AdvisedResponse(chatResponse, context)); + } + } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java index abfb41db456..43278c7c984 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java @@ -18,8 +18,9 @@ import java.util.Map; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.core.Ordered; import org.springframework.util.Assert; /** @@ -27,9 +28,9 @@ * * @param the type of the chat memory. * @author Christian Tzolov - * @since 1.0.0 M1 + * @since 1.0.0 */ -public abstract class AbstractChatMemoryAdvisor implements RequestAdvisor, ResponseAdvisor { +public abstract class AbstractChatMemoryAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { public static final String CHAT_MEMORY_CONVERSATION_ID_KEY = "chat_memory_conversation_id"; @@ -66,8 +67,11 @@ public String getName() { } @Override - public StreamResponseMode getStreamResponseMode() { - return StreamResponseMode.AGGREGATE; + public int getOrder() { + // ensure it has lower priority (e.g. precedences) than the internal advisors. + // It leaves room (100 slots) for the user to plug in their own advisors with + // higher priority. + return Ordered.HIGHEST_PRECEDENCE + 100; } protected T getChatMemoryStore() { diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java new file mode 100644 index 00000000000..d6492be750d --- /dev/null +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java @@ -0,0 +1,92 @@ +/* + * Copyright 2024-2024 the original author or authors. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.springframework.ai.chat.client.advisor; + +import java.util.Map; + +import org.springframework.ai.chat.client.advisor.api.AbstractBlaCallAroundAdvisor; +import org.springframework.core.Ordered; +import org.springframework.util.Assert; + +/** + * Abstract class that serves as a base for chat memory advisors. + * + * @param the type of the chat memory. + * @author Christian Tzolov + * @since 1.0.0 + */ +public abstract class AbstractChatMemoryAdvisor2 extends AbstractBlaCallAroundAdvisor { + + public static final String CHAT_MEMORY_CONVERSATION_ID_KEY = "chat_memory_conversation_id"; + + public static final String CHAT_MEMORY_RETRIEVE_SIZE_KEY = "chat_memory_response_size"; + + public static final String DEFAULT_CHAT_MEMORY_CONVERSATION_ID = "default"; + + public static final int DEFAULT_CHAT_MEMORY_RESPONSE_SIZE = 100; + + protected final T chatMemoryStore; + + protected final String defaultConversationId; + + protected final int defaultChatMemoryRetrieveSize; + + public AbstractChatMemoryAdvisor2(T chatMemory) { + this(chatMemory, DEFAULT_CHAT_MEMORY_CONVERSATION_ID, DEFAULT_CHAT_MEMORY_RESPONSE_SIZE); + } + + public AbstractChatMemoryAdvisor2(T chatMemory, String defaultConversationId, int defaultChatMemoryRetrieveSize) { + + Assert.notNull(chatMemory, "The chatMemory must not be null!"); + Assert.hasText(defaultConversationId, "The conversationId must not be empty!"); + Assert.isTrue(defaultChatMemoryRetrieveSize > 0, "The defaultChatMemoryRetrieveSize must be greater than 0!"); + + this.chatMemoryStore = chatMemory; + this.defaultConversationId = defaultConversationId; + this.defaultChatMemoryRetrieveSize = defaultChatMemoryRetrieveSize; + } + + @Override + public String getName() { + return this.getClass().getSimpleName(); + } + + @Override + public int getOrder() { + // ensure it has lower priority (e.g. precedences) than the internal advisors. + // It leaves room (100 slots) for the user to plug in their own advisors with + // higher priority. + return Ordered.HIGHEST_PRECEDENCE + 100; + } + + protected T getChatMemoryStore() { + return this.chatMemoryStore; + } + + protected String doGetConversationId(Map context) { + + return context.containsKey(CHAT_MEMORY_CONVERSATION_ID_KEY) + ? context.get(CHAT_MEMORY_CONVERSATION_ID_KEY).toString() : this.defaultConversationId; + } + + protected int doGetChatMemoryRetrieveSize(Map context) { + return context.containsKey(CHAT_MEMORY_RETRIEVE_SIZE_KEY) + ? Integer.parseInt(context.get(CHAT_MEMORY_RETRIEVE_SIZE_KEY).toString()) + : this.defaultChatMemoryRetrieveSize; + } + +} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java index a3b56b75f11..86edd4fbc19 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java @@ -1,20 +1,23 @@ package org.springframework.ai.chat.client.advisor; import java.util.ArrayDeque; +import java.util.ArrayList; import java.util.Deque; import java.util.List; -import java.util.Map; -import org.springframework.ai.chat.client.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.client.advisor.api.Advisor; import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; -import org.springframework.ai.chat.client.advisor.observation.AdvisorObservableHelper; import org.springframework.ai.chat.client.advisor.observation.AdvisorObservationContext; +import org.springframework.ai.chat.client.advisor.observation.AdvisorObservationConvention; import org.springframework.ai.chat.client.advisor.observation.AdvisorObservationDocumentation; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.ai.chat.client.advisor.observation.DefaultAdvisorObservationConvention; +import org.springframework.core.OrderComparator; import org.springframework.util.Assert; +import org.springframework.util.CollectionUtils; import io.micrometer.observation.ObservationRegistry; import io.micrometer.observation.contextpropagation.ObservationThreadLocalAccessor; @@ -22,6 +25,8 @@ public class DefaultAroundAdvisorChain implements AroundAdvisorChain { + public static final AdvisorObservationConvention DEFAULT_OBSERVATION_CONVENTION = new DefaultAdvisorObservationConvention(); + private final Deque callAroundAdvisors; private final Deque streamAroundAdvisors; @@ -32,11 +37,6 @@ public DefaultAroundAdvisorChain(ObservationRegistry observationRegistry) { this(observationRegistry, new ArrayDeque(), new ArrayDeque()); } - public DefaultAroundAdvisorChain(CallAroundAdvisor aroundAdvisor, ObservationRegistry observationRegistry) { - this(observationRegistry, new ArrayDeque(), new ArrayDeque()); - this.push(aroundAdvisor); - } - public DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, Deque callAroundAdvisors, Deque streamAroundAdvisors) { Assert.notNull(callAroundAdvisors, "the callAroundAdvisors must be non-null"); @@ -48,30 +48,51 @@ public DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, public DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, List advisors) { this(observationRegistry); Assert.notNull(advisors, "the advisors must be non-null"); - advisors.forEach(this::push); + this.pushAll(advisors); } public void pushAll(List advisors) { Assert.notNull(advisors, "the advisors must be non-null"); - advisors.forEach(this::push); - } + if (!CollectionUtils.isEmpty(advisors)) { + + List callAroundAdvisors = advisors.stream() + .filter(a -> a instanceof CallAroundAdvisor) + .map(a -> (CallAroundAdvisor) a) + .toList(); - public void push(Advisor aroundAdvisor) { + if (!CollectionUtils.isEmpty(callAroundAdvisors)) { + callAroundAdvisors.stream().forEach(this.callAroundAdvisors::push); + } - Assert.notNull(aroundAdvisor, "the aroundAdvisor must be non-null"); + List streamAroundAdvisors = advisors.stream() + .filter(a -> a instanceof StreamAroundAdvisor) + .map(a -> (StreamAroundAdvisor) a) + .toList(); - if (aroundAdvisor instanceof CallAroundAdvisor callAroundAdvisor) { - this.callAroundAdvisors.push(callAroundAdvisor); - } - // Note: the advisor can implement both the CallAroundAdvisor and - // StreamAroundAdvisor. - if (aroundAdvisor instanceof StreamAroundAdvisor streamAroundAdvisor) { - this.streamAroundAdvisors.push(streamAroundAdvisor); + if (!CollectionUtils.isEmpty(streamAroundAdvisors)) { + streamAroundAdvisors.stream().forEach(this.streamAroundAdvisors::push); + } + + this.reOrder(); } } + public void reOrder() { + // Order the advisors in priority order based on their Ordered attribute. + + ArrayList temp = new ArrayList<>(this.callAroundAdvisors); + OrderComparator.sort(temp); + this.callAroundAdvisors.clear(); + temp.stream().forEach(this.callAroundAdvisors::addLast); + + ArrayList temp2 = new ArrayList<>(this.streamAroundAdvisors); + OrderComparator.sort(temp2); + this.streamAroundAdvisors.clear(); + temp2.stream().forEach(this.streamAroundAdvisors::addLast); + } + @Override - public ChatResponse nextAroundCall(AdvisedRequest advisedRequest, Map adviceContext) { + public AdvisedResponse nextAroundCall(AdvisedRequest advisedRequest) { if (this.callAroundAdvisors.isEmpty()) { throw new IllegalStateException("No AroundAdvisor available to execute"); @@ -83,17 +104,16 @@ public ChatResponse nextAroundCall(AdvisedRequest advisedRequest, Map observationContext, - this.observationRegistry) - .observe(() -> advisor.aroundCall(advisedRequest, adviceContext, this)); + .observation(null, DEFAULT_OBSERVATION_CONVENTION, () -> observationContext, this.observationRegistry) + .observe(() -> advisor.aroundCall(advisedRequest, this)); } @Override - public Flux nextAroundStream(AdvisedRequest advisedRequest, Map adviceContext) { + public Flux nextAroundStream(AdvisedRequest advisedRequest) { return Flux.deferContextual(contextView -> { @@ -107,21 +127,20 @@ public Flux nextAroundStream(AdvisedRequest advisedRequest, Map observationContext, - this.observationRegistry); + DEFAULT_OBSERVATION_CONVENTION, () -> observationContext, this.observationRegistry); observation.parentObservation(contextView.getOrDefault(ObservationThreadLocalAccessor.KEY, null)).start(); - return advisor.aroundStream(advisedRequest, adviceContext, this) + // @formatter:off + return Flux.defer(() -> advisor.aroundStream(advisedRequest, this)) .doOnError(observation::error) - .doFinally(s -> { - observation.stop(); - }) - .contextWrite(ctx -> ctx.put(ObservationThreadLocalAccessor.KEY, observation)); + .doFinally(s -> { observation.stop(); + }).contextWrite(ctx -> ctx.put(ObservationThreadLocalAccessor.KEY, observation)); + // @formatter:on }); } @@ -133,23 +152,26 @@ public static class Builder { private final DefaultAroundAdvisorChain aroundAdvisorChain; + private final List aroundAdvisors = new ArrayList<>(); + public Builder(ObservationRegistry observationRegistry) { this.aroundAdvisorChain = new DefaultAroundAdvisorChain(observationRegistry); } public Builder push(Advisor aroundAdvisor) { Assert.notNull(aroundAdvisor, "the aroundAdvisor must be non-null"); - this.aroundAdvisorChain.push(aroundAdvisor); + this.aroundAdvisors.add(aroundAdvisor); return this; } public Builder pushAll(List aroundAdvisors) { Assert.notNull(aroundAdvisors, "the aroundAdvisors must be non-null"); - this.aroundAdvisorChain.pushAll(aroundAdvisors); + this.aroundAdvisors.addAll(aroundAdvisors); return this; } public DefaultAroundAdvisorChain build() { + this.aroundAdvisorChain.pushAll(this.aroundAdvisors); return this.aroundAdvisorChain; } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java index 5f125f0bd32..aa66faf5399 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java @@ -18,19 +18,22 @@ import java.util.ArrayList; import java.util.List; -import java.util.Map; -import org.springframework.ai.chat.client.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; import org.springframework.ai.chat.memory.ChatMemory; import org.springframework.ai.chat.messages.Message; import org.springframework.ai.chat.messages.UserMessage; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.ai.chat.model.MessageAggregator; + +import reactor.core.publisher.Flux; /** * Memory is retrieved added as a collection of messages to the prompt * * @author Christian Tzolov - * @since 1.0.0 M1 + * @since 1.0.0 */ public class MessageChatMemoryAdvisor extends AbstractChatMemoryAdvisor { @@ -43,11 +46,32 @@ public MessageChatMemoryAdvisor(ChatMemory chatMemory, String defaultConversatio } @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = this.before(advisedRequest); + + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); + + this.observeAfter(advisedResponse); + + return advisedResponse; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { - String conversationId = this.doGetConversationId(context); + advisedRequest = this.before(advisedRequest); - int chatMemoryRetrieveSize = this.doGetChatMemoryRetrieveSize(context); + Flux advisedResponses = chain.nextAroundStream(advisedRequest); + + return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); + } + + private AdvisedRequest before(AdvisedRequest request) { + + String conversationId = this.doGetConversationId(request.adviseContext()); + + int chatMemoryRetrieveSize = this.doGetChatMemoryRetrieveSize(request.adviseContext()); // 1. Retrieve the chat memory for the current conversation. List memoryMessages = this.getChatMemoryStore().get(conversationId, chatMemoryRetrieveSize); @@ -61,19 +85,20 @@ public AdvisedRequest adviseRequest(AdvisedRequest request, Map // 4. Add the new user input to the conversation memory. UserMessage userMessage = new UserMessage(request.userText(), request.media()); - this.getChatMemoryStore().add(this.doGetConversationId(context), userMessage); + this.getChatMemoryStore().add(this.doGetConversationId(request.adviseContext()), userMessage); return advisedRequest; } - @Override - public ChatResponse adviseResponse(ChatResponse chatResponse, Map context) { - - List assistantMessages = chatResponse.getResults().stream().map(g -> (Message) g.getOutput()).toList(); + private void observeAfter(AdvisedResponse advisedResponse) { - this.getChatMemoryStore().add(this.doGetConversationId(context), assistantMessages); + List assistantMessages = advisedResponse.response() + .getResults() + .stream() + .map(g -> (Message) g.getOutput()) + .toList(); - return chatResponse; + this.getChatMemoryStore().add(this.doGetConversationId(advisedResponse.adviseContext()), assistantMessages); } } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java new file mode 100644 index 00000000000..b6e40738342 --- /dev/null +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java @@ -0,0 +1,97 @@ +/* + * Copyright 2024-2024 the original author or authors. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.springframework.ai.chat.client.advisor; + +import java.util.ArrayList; +import java.util.List; + +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.memory.ChatMemory; +import org.springframework.ai.chat.messages.Message; +import org.springframework.ai.chat.messages.UserMessage; +import org.springframework.ai.chat.model.MessageAggregator; + +import reactor.core.publisher.Flux; + +/** + * Memory is retrieved added as a collection of messages to the prompt + * + * @author Christian Tzolov + * @since 1.0.0 + */ +public class MessageChatMemoryAdvisor2 extends AbstractChatMemoryAdvisor2 { + + public MessageChatMemoryAdvisor2(ChatMemory chatMemory) { + super(chatMemory); + } + + public MessageChatMemoryAdvisor2(ChatMemory chatMemory, String defaultConversationId, int chatHistoryWindowSize) { + super(chatMemory, defaultConversationId, chatHistoryWindowSize); + } + + @Override + public AdvisedRequest doBefore(AdvisedRequest advisedRequest) { + return this.before(advisedRequest); + } + + @Override + public AdvisedResponse doAfter(AdvisedResponse advisedResponse) { + this.observeAfter(advisedResponse); + return advisedResponse; + } + + @Override + public Flux doAfterStream(Flux advisedResponses) { + return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); + } + + private AdvisedRequest before(AdvisedRequest request) { + + String conversationId = this.doGetConversationId(request.adviseContext()); + + int chatMemoryRetrieveSize = this.doGetChatMemoryRetrieveSize(request.adviseContext()); + + // 1. Retrieve the chat memory for the current conversation. + List memoryMessages = this.getChatMemoryStore().get(conversationId, chatMemoryRetrieveSize); + + // 2. Advise the request messages list. + List advisedMessages = new ArrayList<>(request.messages()); + advisedMessages.addAll(memoryMessages); + + // 3. Create a new request with the advised messages. + AdvisedRequest advisedRequest = AdvisedRequest.from(request).withMessages(advisedMessages).build(); + + // 4. Add the new user input to the conversation memory. + UserMessage userMessage = new UserMessage(request.userText(), request.media()); + this.getChatMemoryStore().add(this.doGetConversationId(request.adviseContext()), userMessage); + + return advisedRequest; + } + + private void observeAfter(AdvisedResponse advisedResponse) { + + List assistantMessages = advisedResponse.response() + .getResults() + .stream() + .map(g -> (Message) g.getOutput()) + .toList(); + + this.getChatMemoryStore().add(this.doGetConversationId(advisedResponse.adviseContext()), assistantMessages); + } + +} \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java index 19af746d607..c140b41180c 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java @@ -21,19 +21,23 @@ import java.util.Map; import java.util.stream.Collectors; -import org.springframework.ai.chat.client.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; import org.springframework.ai.chat.memory.ChatMemory; import org.springframework.ai.chat.messages.Message; import org.springframework.ai.chat.messages.MessageType; import org.springframework.ai.chat.messages.UserMessage; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.ai.chat.model.MessageAggregator; import org.springframework.ai.model.Content; +import reactor.core.publisher.Flux; + /** * Memory is retrieved added into the prompt's system text. * * @author Christian Tzolov - * @since 1.0.0 M1 + * @since 1.0.0 */ public class PromptChatMemoryAdvisor extends AbstractChatMemoryAdvisor { @@ -66,11 +70,33 @@ public PromptChatMemoryAdvisor(ChatMemory chatMemory, String defaultConversation } @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = this.before(advisedRequest); + + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); + + this.observeAfter(advisedResponse); + + return advisedResponse; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = this.before(advisedRequest); + + Flux advisedResponses = chain.nextAroundStream(advisedRequest); + + return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); + } + + private AdvisedRequest before(AdvisedRequest request) { // 1. Advise system parameters. List memoryMessages = this.getChatMemoryStore() - .get(this.doGetConversationId(context), this.doGetChatMemoryRetrieveSize(context)); + .get(this.doGetConversationId(request.adviseContext()), + this.doGetChatMemoryRetrieveSize(request.adviseContext())); String memory = (memoryMessages != null) ? memoryMessages.stream() .filter(m -> m.getMessageType() == MessageType.USER || m.getMessageType() == MessageType.ASSISTANT) @@ -91,19 +117,20 @@ public AdvisedRequest adviseRequest(AdvisedRequest request, Map // 4. Add the new user input to the conversation memory. UserMessage userMessage = new UserMessage(request.userText(), request.media()); - this.getChatMemoryStore().add(this.doGetConversationId(context), userMessage); + this.getChatMemoryStore().add(this.doGetConversationId(request.adviseContext()), userMessage); return advisedRequest; } - @Override - public ChatResponse adviseResponse(ChatResponse chatResponse, Map context) { - - List assistantMessages = chatResponse.getResults().stream().map(g -> (Message) g.getOutput()).toList(); + private void observeAfter(AdvisedResponse advisedResponse) { - this.getChatMemoryStore().add(this.doGetConversationId(context), assistantMessages); + List assistantMessages = advisedResponse.response() + .getResults() + .stream() + .map(g -> (Message) g.getOutput()) + .toList(); - return chatResponse; + this.getChatMemoryStore().add(this.doGetConversationId(advisedResponse.adviseContext()), assistantMessages); } } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java index 2b36a4c410d..63fe644a6a6 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java @@ -19,11 +19,14 @@ import java.util.HashMap; import java.util.List; import java.util.Map; +import java.util.function.Predicate; import java.util.stream.Collectors; -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; import org.springframework.ai.chat.model.ChatResponse; import org.springframework.ai.document.Document; import org.springframework.ai.model.Content; @@ -34,6 +37,8 @@ import org.springframework.util.Assert; import org.springframework.util.StringUtils; +import reactor.core.publisher.Flux; + /** * Context for the question is retrieved from a Vector Store and added to the prompt's * user text. @@ -41,7 +46,7 @@ * @author Christian Tzolov * @since 1.0.0 */ -public class QuestionAnswerAdvisor implements RequestAdvisor, ResponseAdvisor { +public class QuestionAnswerAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { private static final String DEFAULT_USER_TEXT_ADVISE = """ Context information is below. @@ -98,7 +103,36 @@ public String getName() { } @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { + public int getOrder() { + return 0; + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + AdvisedRequest advisedRequest2 = before(advisedRequest); + + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest2); + + return after(advisedResponse); + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = before(advisedRequest); + + return chain.nextAroundStream(advisedRequest).map(ar -> { + if (onFinishReason().test(ar)) { + ar = after(ar); + } + return ar; + }); + } + + private AdvisedRequest before(AdvisedRequest request) { + + var context = new HashMap<>(request.adviseContext()); // 1. Advise the system text. String advisedUserText = request.userText() + System.lineSeparator() + this.userTextAdvise; @@ -124,21 +158,16 @@ public AdvisedRequest adviseRequest(AdvisedRequest request, Map AdvisedRequest advisedRequest = AdvisedRequest.from(request) .withUserText(advisedUserText) .withUserParams(advisedUserParams) + .withAdviseContext(context) .build(); return advisedRequest; } - @Override - public ChatResponse adviseResponse(ChatResponse response, Map context) { - ChatResponse.Builder chatResponseBuilder = ChatResponse.builder().from(response); - chatResponseBuilder.withMetadata(RETRIEVED_DOCUMENTS, context.get(RETRIEVED_DOCUMENTS)); - return chatResponseBuilder.build(); - } - - @Override - public StreamResponseMode getStreamResponseMode() { - return StreamResponseMode.ON_FINISH_ELEMENT; + private AdvisedResponse after(AdvisedResponse advisedResponse) { + ChatResponse.Builder chatResponseBuilder = ChatResponse.builder().from(advisedResponse.response()); + chatResponseBuilder.withMetadata(RETRIEVED_DOCUMENTS, advisedResponse.adviseContext().get(RETRIEVED_DOCUMENTS)); + return new AdvisedResponse(chatResponseBuilder.build(), advisedResponse.adviseContext()); } protected Filter.Expression doGetFilterExpression(Map context) { @@ -151,4 +180,14 @@ protected Filter.Expression doGetFilterExpression(Map context) { } + private Predicate onFinishReason() { + return (advisedResponse) -> advisedResponse.response() + .getResults() + .stream() + .filter(result -> result != null && result.getMetadata() != null + && StringUtils.hasText(result.getMetadata().getFinishReason())) + .findFirst() + .isPresent(); + } + } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/around/SafeGuardAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java similarity index 65% rename from spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/around/SafeGuardAroundAdvisor.java rename to spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java index f682ceb1b70..6a0759832a8 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/around/SafeGuardAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java @@ -1,9 +1,9 @@ -package org.springframework.ai.chat.client.advisor.around; +package org.springframework.ai.chat.client.advisor; import java.util.List; -import java.util.Map; -import org.springframework.ai.chat.client.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; @@ -15,7 +15,7 @@ /** * A {@link CallAroundAdvisor} and {@link StreamAroundAdvisor} that filters out the * response if the user input contains any of the sensitive words. - * + * * @author Christian Tzolov * @since 1.0.0 */ @@ -32,28 +32,32 @@ public String getName() { } @Override - public ChatResponse aroundCall(AdvisedRequest advisedRequest, Map adviceContext, - AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { if (!CollectionUtils.isEmpty(this.sensitiveWords) && sensitiveWords.stream().anyMatch(w -> advisedRequest.userText().contains(w))) { - return ChatResponse.builder().withGenerations(List.of()).build(); + return new AdvisedResponse(ChatResponse.builder().withGenerations(List.of()).build(), + advisedRequest.adviseContext()); } - return chain.nextAroundCall(advisedRequest, adviceContext); + return chain.nextAroundCall(advisedRequest); } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, Map adviceContext, - AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { if (!CollectionUtils.isEmpty(this.sensitiveWords) && sensitiveWords.stream().anyMatch(w -> advisedRequest.userText().contains(w))) { return Flux.empty(); } - return chain.nextAroundStream(advisedRequest, adviceContext); + return chain.nextAroundStream(advisedRequest); } + @Override + public int getOrder() { + return 0; + } + } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java index 393de09a460..356cc3558e2 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java @@ -15,23 +15,27 @@ */ package org.springframework.ai.chat.client.advisor; -import java.util.Map; import java.util.function.Function; import org.slf4j.Logger; import org.slf4j.LoggerFactory; -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.ai.chat.model.MessageAggregator; import org.springframework.ai.model.ModelOptionsUtils; +import reactor.core.publisher.Flux; + /** * A simple logger advisor that logs the request and response messages. * * @author Christian Tzolov */ -public class SimpleLoggerAdvisor implements RequestAdvisor, ResponseAdvisor { +public class SimpleLoggerAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { private static final Logger logger = LoggerFactory.getLogger(SimpleLoggerAdvisor.class); @@ -63,15 +67,17 @@ public String getName() { } @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { + public int getOrder() { + return 0; + } + + private AdvisedRequest before(AdvisedRequest request) { logger.debug("request: {}", this.requestToString.apply(request)); return request; } - @Override - public ChatResponse adviseResponse(ChatResponse response, Map context) { - logger.debug("response: {}", this.responseToString.apply(response)); - return response; + private void observeAfter(AdvisedResponse advisedResponse) { + logger.debug("response: {}", this.responseToString.apply(advisedResponse.response())); } @Override @@ -80,8 +86,25 @@ public String toString() { } @Override - public StreamResponseMode getStreamResponseMode() { - return StreamResponseMode.AGGREGATE; + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = before(advisedRequest); + + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); + + observeAfter(advisedResponse); + + return advisedResponse; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = before(advisedRequest); + + Flux advisedResponses = chain.nextAroundStream(advisedRequest); + + return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); } } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java index 9b545bf9352..3eb3d6b7d56 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java @@ -21,17 +21,21 @@ import java.util.Map; import java.util.stream.Collectors; -import org.springframework.ai.chat.client.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; 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.UserMessage; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.ai.chat.model.MessageAggregator; import org.springframework.ai.document.Document; import org.springframework.ai.model.Content; import org.springframework.ai.vectorstore.SearchRequest; import org.springframework.ai.vectorstore.VectorStore; +import reactor.core.publisher.Flux; + /** * Memory is retrieved from a VectorStore added into the prompt's system text. * @@ -78,13 +82,35 @@ public VectorStoreChatMemoryAdvisor(VectorStore vectorStore, String defaultConve } @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = this.before(advisedRequest); + + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); + + this.observeAfter(advisedResponse); + + return advisedResponse; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + advisedRequest = this.before(advisedRequest); + + Flux advisedResponses = chain.nextAroundStream(advisedRequest); + + return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); + } + + private AdvisedRequest before(AdvisedRequest request) { String advisedSystemText = request.systemText() + System.lineSeparator() + this.systemTextAdvise; var searchRequest = SearchRequest.query(request.userText()) - .withTopK(this.doGetChatMemoryRetrieveSize(context)) - .withFilterExpression(DOCUMENT_METADATA_CONVERSATION_ID + "=='" + this.doGetConversationId(context) + "'"); + .withTopK(this.doGetChatMemoryRetrieveSize(request.adviseContext())) + .withFilterExpression(DOCUMENT_METADATA_CONVERSATION_ID + "=='" + + this.doGetConversationId(request.adviseContext()) + "'"); List documents = this.getChatMemoryStore().similaritySearch(searchRequest); @@ -101,19 +127,22 @@ public AdvisedRequest adviseRequest(AdvisedRequest request, Map .build(); UserMessage userMessage = new UserMessage(request.userText(), request.media()); - this.getChatMemoryStore().write(toDocuments(List.of(userMessage), this.doGetConversationId(context))); + this.getChatMemoryStore() + .write(toDocuments(List.of(userMessage), this.doGetConversationId(request.adviseContext()))); return advisedRequest; } - @Override - public ChatResponse adviseResponse(ChatResponse chatResponse, Map context) { - - List assistantMessages = chatResponse.getResults().stream().map(g -> (Message) g.getOutput()).toList(); + private void observeAfter(AdvisedResponse advisedResponse) { - this.getChatMemoryStore().write(toDocuments(assistantMessages, this.doGetConversationId(context))); + List assistantMessages = advisedResponse.response() + .getResults() + .stream() + .map(g -> (Message) g.getOutput()) + .toList(); - return chatResponse; + this.getChatMemoryStore() + .write(toDocuments(assistantMessages, this.doGetConversationId(advisedResponse.adviseContext()))); } private List toDocuments(List messages, String conversationId) { diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java new file mode 100644 index 00000000000..f4bd27cabb5 --- /dev/null +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java @@ -0,0 +1,68 @@ +/* +* Copyright 2024 - 2024 the original author or authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* https://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ +package org.springframework.ai.chat.client.advisor.api; + +import reactor.core.publisher.Flux; + +/** + * @author Christian Tzolov + * @since 1.0.0 + */ + +public abstract class AbstractBlaCallAroundAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { + + public abstract AdvisedRequest doBefore(AdvisedRequest advisedRequest); + + public abstract AdvisedResponse doAfter(AdvisedResponse advisedResponse); + + public abstract Flux doAfterStream(Flux advisedResponse); + + @Override + final public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + // + advisedRequest = this.doBefore(advisedRequest); + // + + // + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); + // + + // + var after = this.doAfter(advisedResponse); + // + + return after; + } + + final public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + // + advisedRequest = this.doBefore(advisedRequest); + // + + // + Flux advisedResponse = chain.nextAroundStream(advisedRequest); + // + + // + var after = this.doAfterStream(advisedResponse); + // + + return after; + } + +} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/AdvisedRequest.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedRequest.java similarity index 64% rename from spring-ai-core/src/main/java/org/springframework/ai/chat/client/AdvisedRequest.java rename to spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedRequest.java index 903c304dc3c..8630c697e40 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/AdvisedRequest.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedRequest.java @@ -14,17 +14,28 @@ * limitations under the License. */ -package org.springframework.ai.chat.client; +package org.springframework.ai.chat.client.advisor.api; +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; import java.util.List; import java.util.Map; +import java.util.function.Function; import org.springframework.ai.model.Media; -import org.springframework.ai.chat.client.advisor.api.Advisor; import org.springframework.ai.chat.messages.Message; +import org.springframework.ai.chat.messages.SystemMessage; +import org.springframework.ai.chat.messages.UserMessage; import org.springframework.ai.chat.model.ChatModel; import org.springframework.ai.chat.prompt.ChatOptions; +import org.springframework.ai.chat.prompt.Prompt; +import org.springframework.ai.chat.prompt.PromptTemplate; import org.springframework.ai.model.function.FunctionCallback; +import org.springframework.ai.model.function.FunctionCallingOptions; +import org.springframework.util.CollectionUtils; +import org.springframework.util.StringUtils; /** * The data of the chat client request that can be modified before the execution of the @@ -44,11 +55,18 @@ * @param systemParams the map of system parameters * @param advisors the list of request response advisors * @param advisorParams the map of advisor parameters + * @param adviseContext the map of advise context */ public record AdvisedRequest(ChatModel chatModel, String userText, String systemText, ChatOptions chatOptions, List media, List functionNames, List functionCallbacks, List messages, Map userParams, Map systemParams, List advisors, - Map advisorParams) { + Map advisorParams, Map adviseContext) { + + public AdvisedRequest updateContext(Function, Map> contextTransform) { + return from(this) + .withAdviseContext(Collections.unmodifiableMap(contextTransform.apply(new HashMap<>(this.adviseContext)))) + .build(); + } public static Builder from(AdvisedRequest from) { Builder builder = new Builder(); @@ -64,7 +82,8 @@ public static Builder from(AdvisedRequest from) { builder.systemParams = from.systemParams; builder.advisors = from.advisors; builder.advisorParams = from.advisorParams; - builder.advisorParams = from.advisorParams; + builder.adviseContext = from.adviseContext; + return builder; } @@ -98,6 +117,8 @@ public static class Builder { private Map advisorParams = Map.of(); + private Map adviseContext = Map.of(); + public Builder withChatModel(ChatModel chatModel) { this.chatModel = chatModel; return this; @@ -158,12 +179,58 @@ public Builder withAdvisorParams(Map advisorParams) { return this; } + public Builder withAdviseContext(Map adviseContext) { + this.adviseContext = adviseContext; + return this; + } + public AdvisedRequest build() { return new AdvisedRequest(chatModel, this.userText, this.systemText, this.chatOptions, this.media, this.functionNames, this.functionCallbacks, this.messages, this.userParams, this.systemParams, - this.advisors, this.advisorParams); + this.advisors, this.advisorParams, this.adviseContext); + } + + } + + public Prompt toPrompt() { + + var messages = new ArrayList(this.messages()); + + String processedSystemText = this.systemText(); + if (StringUtils.hasText(processedSystemText)) { + if (!CollectionUtils.isEmpty(this.systemParams())) { + processedSystemText = new PromptTemplate(processedSystemText, this.systemParams()).render(); + } + messages.add(new SystemMessage(processedSystemText)); + } + + String formatParam = (String) this.adviseContext().get("formatParam"); + + var processedUserText = StringUtils.hasText(formatParam) + ? this.userText() + System.lineSeparator() + "{spring_ai_soc_format}" : this.userText(); + + if (StringUtils.hasText(processedUserText)) { + + Map userParams = new HashMap<>(this.userParams()); + if (StringUtils.hasText(formatParam)) { + userParams.put("spring_ai_soc_format", formatParam); + } + if (!CollectionUtils.isEmpty(userParams)) { + processedUserText = new PromptTemplate(processedUserText, userParams).render(); + } + messages.add(new UserMessage(processedUserText, this.media())); + } + + if (this.chatOptions() instanceof FunctionCallingOptions functionCallingOptions) { + if (!this.functionNames().isEmpty()) { + functionCallingOptions.setFunctions(new HashSet<>(this.functionNames())); + } + if (!this.functionCallbacks().isEmpty()) { + functionCallingOptions.setFunctionCallbacks(this.functionCallbacks()); + } } + return new Prompt(messages, this.chatOptions()); } } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedResponse.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedResponse.java new file mode 100644 index 00000000000..8c81740cfd3 --- /dev/null +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AdvisedResponse.java @@ -0,0 +1,73 @@ +/* +* Copyright 2024 - 2024 the original author or authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* https://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ +package org.springframework.ai.chat.client.advisor.api; + +import java.util.Collections; +import java.util.HashMap; +import java.util.Map; +import java.util.function.Function; + +import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.util.Assert; + +/** + * @author Christian Tzolov + * @since 1.0.0 + */ +public record AdvisedResponse(ChatResponse response, Map adviseContext) { + + public AdvisedResponse updateContext(Function, Map> contextTransform) { + return new AdvisedResponse(response, + Collections.unmodifiableMap(contextTransform.apply(new HashMap<>(adviseContext)))); + } + + public static Builder builder() { + return new Builder(); + } + + public static class Builder { + + private ChatResponse response; + + private Map adviseContext; + + public Builder() { + } + + public static Builder from(AdvisedResponse advisedResponse) { + return new Builder().withResponse(advisedResponse.response) + .withAdviseContext(advisedResponse.adviseContext); + } + + public Builder withResponse(ChatResponse response) { + Assert.notNull(response, "the response must be non-null"); + this.response = response; + return this; + } + + public Builder withAdviseContext(Map adviseContext) { + Assert.notNull(adviseContext, "the adviseContext must be non-null"); + this.adviseContext = adviseContext; + return this; + } + + public AdvisedResponse build() { + Assert.notNull(this.adviseContext, "the adviseContext must be non-null"); + return new AdvisedResponse(response, adviseContext); + } + + } +} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java index eaa09c6efb5..0cadcf7b5ee 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java @@ -20,8 +20,9 @@ * * @author Christian Tzolov * @since 1.0.0 - * @see RequestAdvisor - * @see ResponseAdvisor + * @see BeforeAdvisor + * @see ObservingAfterAdvisor + * @see AfterAdvisor * @see CallAroundAdvisor * @see StreamAroundAdvisor * @see AroundAdvisorChain diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AroundAdvisorChain.java index f33a686c24d..ce44782f33b 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AroundAdvisorChain.java @@ -1,16 +1,11 @@ package org.springframework.ai.chat.client.advisor.api; -import java.util.Map; - -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.model.ChatResponse; - import reactor.core.publisher.Flux; public interface AroundAdvisorChain { - ChatResponse nextAroundCall(AdvisedRequest advisedRequest, Map adviceContext); + AdvisedResponse nextAroundCall(AdvisedRequest advisedRequest); - Flux nextAroundStream(AdvisedRequest advisedRequest, Map adviceContext); + Flux nextAroundStream(AdvisedRequest advisedRequest); } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java index 4ff26544e94..b9b9d1917e9 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java @@ -15,25 +15,21 @@ */ package org.springframework.ai.chat.client.advisor.api; -import java.util.Map; - -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.core.Ordered; /** * @author Christian Tzolov * @since 1.0.0 */ -public interface CallAroundAdvisor extends Advisor { +public interface CallAroundAdvisor extends Advisor, Ordered { /** * Around advice that wraps the ChatModel#call(Prompt) method. * @param advisedRequest the advised request - * @param adviceContext the advice context * @param chain the advisor chain * @return the response */ - ChatResponse aroundCall(AdvisedRequest advisedRequest, Map adviceContext, AroundAdvisorChain chain); + AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain); } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/RequestAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/RequestAdvisor.java deleted file mode 100644 index 8ba198e323a..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/RequestAdvisor.java +++ /dev/null @@ -1,46 +0,0 @@ -/* - * Copyright 2024-2024 the original author or authors. - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * https://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.springframework.ai.chat.client.advisor.api; - -import java.util.Map; - -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.client.ChatClient; -import org.springframework.ai.chat.model.ChatModel; -import org.springframework.ai.chat.prompt.Prompt; - -/** - * Advisor called before the {@link ChatModel#call(Prompt)} and - * {@link ChatModel#stream(Prompt)} methods are called. The {@link ChatClient} maintains a - * chain of advisors with shared advise context. - * - * @author Christian Tzolov - * @since 1.0.0 - */ -public interface RequestAdvisor extends Advisor { - - /** - * @param request the {@link AdvisedRequest} data to be advised. Represents the row - * {@link ChatClient.ChatClientRequestSpec} data before sealed into a {@link Prompt}. - * @param adviseContext the shared data between the advisors in the chain. It is - * shared between all request and response advising points of all advisors in the - * chain. - * @return the advised {@link AdvisedRequest}. - */ - AdvisedRequest adviseRequest(AdvisedRequest request, Map adviseContext); - -} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/ResponseAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/ResponseAdvisor.java deleted file mode 100644 index e1040c91da0..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/ResponseAdvisor.java +++ /dev/null @@ -1,97 +0,0 @@ -/* - * Copyright 2024-2024 the original author or authors. - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * https://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.springframework.ai.chat.client.advisor.api; - -import java.util.Map; - -import org.springframework.ai.chat.client.ChatClient; -import org.springframework.ai.chat.model.ChatModel; -import org.springframework.ai.chat.model.ChatResponse; -import org.springframework.ai.chat.prompt.Prompt; - -import reactor.core.publisher.Flux; - -/** - * Advisor called after the {@link ChatModel#call(Prompt)} (or - * {@link ChatModel#stream(Prompt)}) method call. The {@link ChatClient} maintains a chain - * of advisors with shared advise context. - * - * @author Christian Tzolov - * @since 1.0.0 - */ -public interface ResponseAdvisor extends Advisor { - - /** - * @param response the {@link ChatResponse} data to be advised. Represents the row - * {@link ChatResponse} data after the {@link ChatModel#call(Prompt)} method is - * called. - * @param adviseContext the shared data between the advisors in the chain. It is - * shared between all request and response advising points of all advisors in the - * chain. - * @return the advised {@link ChatResponse}. - */ - ChatResponse adviseResponse(ChatResponse response, Map adviseContext); - - /** - * Different modes of advising the streaming responses. - */ - public enum StreamResponseMode { - - /** - * Called for each response element in the Flux. The response advisor can modify - * the elements before they are returned to the client. - */ - PER_ELEMENT, - /** - * Called only on Flux elements that contain a finish reason. Usually the last - * element in the Flux. The response advisor can modify the elements before they - * are returned to the client. - */ - ON_FINISH_ELEMENT, - /** - * Called only once after all Flux elements have been consumed. All elements are - * merged into a single ChatResponse element and provided to the response advisor - * to process.
- * Mind that at that stage the response advisor can not longer modify the response - * returned to the client. - */ - AGGREGATE, - /** - * Delegates to the stream advisor implementation. - */ - CUSTOM; - - } - - default StreamResponseMode getStreamResponseMode() { - return StreamResponseMode.ON_FINISH_ELEMENT; - } - - /** - * @param fluxResponse the streaming {@link ChatResponse} data to be advised. - * Represents the row {@link ChatResponse} stream data after the - * {@link ChatModel#stream(Prompt)} method is called. - * @param adviseContext the shared data between the advisors in the chain. It is - * shared between all request and response advising points of all advisors in the - * chain. - * @return the advised {@link ChatResponse} flux. - */ - default Flux adviseResponse(Flux fluxResponse, Map adviseContext) { - return fluxResponse; - } - -} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java index d2379a7724a..ff4bec5f4e3 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java @@ -15,10 +15,7 @@ */ package org.springframework.ai.chat.client.advisor.api; -import java.util.Map; - -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.model.ChatResponse; +import org.springframework.core.Ordered; import reactor.core.publisher.Flux; @@ -26,16 +23,14 @@ * @author Christian Tzolov * @since 1.0.0 */ -public interface StreamAroundAdvisor extends Advisor { +public interface StreamAroundAdvisor extends Advisor, Ordered { /** * Around advice that wraps the invocation of the advised request. * @param advisedRequest - * @param adviceContext * @param chain the chain of advisors to execute * @return the result of the advised request */ - Flux aroundStream(AdvisedRequest advisedRequest, Map adviceContext, - AroundAdvisorChain chain); + Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain); } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/around/CacheAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/around/CacheAroundAdvisor.java deleted file mode 100644 index 51dcc6b5ec9..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/around/CacheAroundAdvisor.java +++ /dev/null @@ -1,149 +0,0 @@ -/* -* Copyright 2024 - 2024 the original author or authors. -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* https://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ -package org.springframework.ai.chat.client.advisor.around; - -import java.util.HashMap; -import java.util.List; -import java.util.Map; -import java.util.Optional; - -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; -import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; -import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; -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.metadata.ChatGenerationMetadata; -import org.springframework.ai.chat.model.ChatResponse; -import org.springframework.ai.chat.model.Generation; -import org.springframework.ai.chat.model.MessageAggregator; -import org.springframework.ai.document.Document; -import org.springframework.ai.vectorstore.SearchRequest; -import org.springframework.ai.vectorstore.VectorStore; -import org.springframework.util.CollectionUtils; - -import reactor.core.publisher.Flux; - -/** - * @author Christian Tzolov - * @since 1.0.0 - */ -public class CacheAroundAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { - - private final VectorStore vectorStore; - - private static final String DOCUMENT_METADATA_ADVISOR_CACHE_TAG = "advisorCacheDocument"; - - private static final String DOCUMENT_METADATA_ADVISOR_CACHE_RESPONSE = "advisorCacheResponse"; - - public CacheAroundAdvisor(VectorStore vectorStore) { - this.vectorStore = vectorStore; - } - - public String getName() { - return this.getClass().getSimpleName(); - } - - @Override - public ChatResponse aroundCall(AdvisedRequest advisedRequest, Map adviceContext, - AroundAdvisorChain chain) { - - var cachedResponseOption = getCacheEntry(advisedRequest, adviceContext); - if (cachedResponseOption.isPresent()) { - return cachedResponseOption.get(); - } - - ChatResponse chatResponse = chain.nextAroundCall(advisedRequest, adviceContext); - - saveCacheEntry(advisedRequest.userText(), chatResponse); - - return chatResponse; - } - - @Override - public Flux aroundStream(AdvisedRequest advisedRequest, Map adviceContext, - AroundAdvisorChain chain) { - - var cachedResponseOption = getCacheEntry(advisedRequest, adviceContext); - if (cachedResponseOption.isPresent()) { - return Flux.just(cachedResponseOption.get()); - } - - Flux fluxChatResponse = chain.nextAroundStream(advisedRequest, adviceContext); - - return new MessageAggregator().aggregate(fluxChatResponse, chatResponse -> { - saveCacheEntry(advisedRequest.userText(), chatResponse); - }); - } - - private void saveCacheEntry(String userQuestion, ChatResponse chatResponse) { - List assistantMessages = chatResponse.getResults().stream().map(g -> (Message) g.getOutput()).toList(); - if (!CollectionUtils.isEmpty(assistantMessages)) { - this.vectorStore.add(toDocuments(userQuestion, assistantMessages)); - } - } - - private Optional getCacheEntry(AdvisedRequest advisedRequest, Map adviceContext) { - - // TODO: convert into pompty first or at least materialize the user params. - String userText = advisedRequest.userText(); - - // @formatter:off - var searchRequest = SearchRequest.query(userText) - .withSimilarityThreshold(0.95) - .withTopK(1) - .withFilterExpression("'"+ DOCUMENT_METADATA_ADVISOR_CACHE_TAG + "' == 'true'"); - // @formatter:on - - List doc = vectorStore.similaritySearch(searchRequest); - - // return cached response - return CollectionUtils.isEmpty(doc) ? Optional.empty() : Optional.of(fromDocument(doc.get(0))); - } - - private ChatResponse fromDocument(Document doc) { - - if (!doc.getMetadata().containsKey(DOCUMENT_METADATA_ADVISOR_CACHE_RESPONSE)) { - throw new IllegalStateException("The document is missing the cache response metadata!"); - } - String cachedResponse = "" + doc.getMetadata().get(DOCUMENT_METADATA_ADVISOR_CACHE_RESPONSE); - - return ChatResponse.builder() - .withGenerations(List.of(new Generation(new AssistantMessage(cachedResponse, Map.of()), - ChatGenerationMetadata.from("STOP", null)))) - .build(); - } - - private List toDocuments(String userQuestion, List messages) { - - List docs = messages.stream() - .filter(m -> m.getMessageType() == MessageType.ASSISTANT) - .map(message -> { - var metadata = new HashMap<>(message.getMetadata() != null ? message.getMetadata() : new HashMap<>()); - metadata.put(DOCUMENT_METADATA_ADVISOR_CACHE_TAG, "true"); - metadata.put(DOCUMENT_METADATA_ADVISOR_CACHE_RESPONSE, message.getContent()); - // TODO: Pehaps we need to serialize the message metadata to the document - - return new Document(userQuestion, metadata); - - }) - .toList(); - - return docs; - } - -} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservableHelper.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservableHelper.java deleted file mode 100644 index e267a5ee2fe..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservableHelper.java +++ /dev/null @@ -1,103 +0,0 @@ -/* -* Copyright 2024 - 2024 the original author or authors. -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* https://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ -package org.springframework.ai.chat.client.advisor.observation; - -import java.util.ArrayList; -import java.util.Collections; -import java.util.List; -import java.util.Map; - -import org.springframework.ai.chat.client.AdvisedRequest; -import org.springframework.ai.chat.client.advisor.api.Advisor; -import org.springframework.ai.chat.client.advisor.api.RequestAdvisor; -import org.springframework.ai.chat.client.advisor.api.ResponseAdvisor; -import org.springframework.ai.chat.model.ChatResponse; -import org.springframework.util.CollectionUtils; - -import io.micrometer.observation.Observation; - -/** - * @author Christian Tzolov - * @since 1.0.0 - */ -public abstract class AdvisorObservableHelper { - - public static final AdvisorObservationConvention DEFAULT_OBSERVATION_CONVENTION = new DefaultAdvisorObservationConvention(); - - public static AdvisedRequest adviseRequest(Observation parentObservation, RequestAdvisor advisor, - AdvisedRequest advisedRequest, Map advisorContext) { - - var observationContext = AdvisorObservationContext.builder() - .withAdvisorName(advisor.getName()) - .withAdvisorType(AdvisorObservationContext.Type.BEFORE) - .withAdvisedRequest(advisedRequest) - .withAdvisorRequestContext(advisorContext) - .build(); - - return AdvisorObservationDocumentation.AI_ADVISOR - .observation(null, DEFAULT_OBSERVATION_CONVENTION, () -> observationContext, - parentObservation.getObservationRegistry()) - .parentObservation(parentObservation) - .observe(() -> advisor.adviseRequest(advisedRequest, advisorContext)); - } - - public static ChatResponse adviseResponse(Observation parentObservation, ResponseAdvisor advisor, - ChatResponse response, Map advisorContext) { - - var observationContext = AdvisorObservationContext.builder() - .withAdvisorName(advisor.getName()) - .withAdvisorType(AdvisorObservationContext.Type.AFTER) - .withAdvisorRequestContext(advisorContext) - .build(); - - return AdvisorObservationDocumentation.AI_ADVISOR - .observation(null, DEFAULT_OBSERVATION_CONVENTION, () -> observationContext, - parentObservation.getObservationRegistry()) - .parentObservation(parentObservation) - .observe(() -> advisor.adviseResponse(response, advisorContext)); - } - - public static List extractRequestAdvisors(List advisors) { - return advisors.stream() - .filter(advisor -> advisor instanceof RequestAdvisor) - .map(a -> (RequestAdvisor) a) - .toList(); - } - - /** - * Extracts the {@link ResponseAdvisor} instances from the given list of advisors and - * returns them in reverse order. - * @param advisors list of all registered advisor types. - * @return the list of {@link ResponseAdvisor} instances in reverse order. - */ - public static List extractResponseAdvisors(List advisors) { - - var list = advisors.stream() - .filter(advisor -> advisor instanceof ResponseAdvisor) - .map(a -> (ResponseAdvisor) a) - .toList(); - - // reverse the list - if (CollectionUtils.isEmpty(list)) { - return list; - } - - var reversedList = new ArrayList<>(list); - Collections.reverse(reversedList); - return Collections.unmodifiableList(reversedList); - } - -} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java index 5a4421e98ca..a28906995ea 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java @@ -17,8 +17,8 @@ import java.util.Map; -import org.springframework.ai.chat.client.AdvisedRequest; import org.springframework.ai.chat.client.ChatClient; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.prompt.Prompt; import org.springframework.util.Assert; diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/model/MessageAggregator.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/model/MessageAggregator.java index 6aef10ed777..1c6bfc70225 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/model/MessageAggregator.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/model/MessageAggregator.java @@ -24,6 +24,7 @@ import org.slf4j.Logger; import org.slf4j.LoggerFactory; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.messages.AssistantMessage; import org.springframework.ai.chat.metadata.ChatGenerationMetadata; import org.springframework.ai.chat.metadata.ChatResponseMetadata; @@ -46,6 +47,27 @@ public class MessageAggregator { private static final Logger logger = LoggerFactory.getLogger(MessageAggregator.class); + public Flux aggregateAdvisedResponse(Flux advisedResponses, + Consumer aggregationHandler) { + + AtomicReference> adviseContext = new AtomicReference<>(new HashMap<>()); + + return new MessageAggregator().aggregate(advisedResponses.map(ar -> { + adviseContext.get().putAll(ar.adviseContext()); + return ar.response(); + + }), aggregatedChatResponse -> { + + AdvisedResponse aggregatedAdvisedResponse = AdvisedResponse.builder() + .withResponse(aggregatedChatResponse) + .withAdviseContext(adviseContext.get()) + .build(); + + aggregationHandler.accept(aggregatedAdvisedResponse); + + }).map(cr -> new AdvisedResponse(cr, adviseContext.get())); + } + public Flux aggregate(Flux fluxChatResponse, Consumer onAggregationComplete) { diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientAdvisorTests.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientAdvisorTests.java index 432029fb813..a9ea8730e75 100644 --- a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientAdvisorTests.java +++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/ChatClientAdvisorTests.java @@ -16,8 +16,10 @@ package org.springframework.ai.chat.client; +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.Mockito.when; + import java.util.List; -import java.util.Map; import java.util.stream.Collectors; import org.junit.jupiter.api.Test; @@ -26,11 +28,10 @@ import org.mockito.Captor; import org.mockito.Mock; import org.mockito.junit.jupiter.MockitoExtension; -import reactor.core.publisher.Flux; - 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.messages.AssistantMessage; import org.springframework.ai.chat.messages.Message; import org.springframework.ai.chat.messages.MessageType; import org.springframework.ai.chat.model.ChatModel; @@ -38,8 +39,7 @@ import org.springframework.ai.chat.model.Generation; import org.springframework.ai.chat.prompt.Prompt; -import static org.assertj.core.api.Assertions.assertThat; -import static org.mockito.Mockito.when; +import reactor.core.publisher.Flux; /** * @author Christian Tzolov @@ -61,19 +61,17 @@ private String join(Flux fluxContent) { public void promptChatMemory() { when(chatModel.call(promptCaptor.capture())) - .thenReturn(new ChatResponse(List.of(new Generation("Hello John")))) - .thenReturn(new ChatResponse(List.of(new Generation("Your name is John")))); + .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello John"))))) + .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Your name is John"))))); ChatMemory chatMemory = new InMemoryChatMemory(); var chatClient = ChatClient.builder(chatModel) - .defaultSystem("Default system text.") - .defaultAdvisors(new PromptChatMemoryAdvisor(chatMemory)) - .build(); + .defaultSystem("Default system text.") + .defaultAdvisors(new PromptChatMemoryAdvisor(chatMemory)) + .build(); - var content = chatClient.prompt() - .user("my name is John") - .call().content(); + var content = chatClient.prompt().user("my name is John").call().content(); assertThat(content).isEqualTo("Hello John"); @@ -92,9 +90,7 @@ public void promptChatMemory() { Message userMessage = promptCaptor.getValue().getInstructions().get(1); assertThat(userMessage.getContent()).isEqualToIgnoringWhitespace("my name is John"); - content = chatClient.prompt() - .user("What is my name?") - .call().content(); + content = chatClient.prompt().user("What is my name?").call().content(); assertThat(content).isEqualTo("Your name is John"); @@ -119,31 +115,28 @@ public void promptChatMemory() { @Test public void streamingPromptChatMemory() { - when(chatModel.stream(promptCaptor.capture())) - .thenReturn( - Flux.generate(() -> new ChatResponse(List.of(new Generation("Hello John"))), (state, sink) -> { - sink.next(state); - sink.complete(); - return state; - })) - .thenReturn( - Flux.generate(() -> new ChatResponse(List.of(new Generation("Your name is John"))), - (state, sink) -> { - sink.next(state); - sink.complete(); - return state; - })); + when(chatModel.stream(promptCaptor.capture())).thenReturn(Flux.generate( + () -> new ChatResponse(List.of(new Generation(new AssistantMessage("Hello John")))), (state, sink) -> { + sink.next(state); + sink.complete(); + return state; + })) + .thenReturn(Flux.generate( + () -> new ChatResponse(List.of(new Generation(new AssistantMessage("Your name is John")))), + (state, sink) -> { + sink.next(state); + sink.complete(); + return state; + })); ChatMemory chatMemory = new InMemoryChatMemory(); var chatClient = ChatClient.builder(chatModel) - .defaultSystem("Default system text.") - .defaultAdvisors(new PromptChatMemoryAdvisor(chatMemory)) - .build(); + .defaultSystem("Default system text.") + .defaultAdvisors(new PromptChatMemoryAdvisor(chatMemory)) + .build(); - var content = join(chatClient.prompt() - .user("my name is John") - .stream().content()); + var content = join(chatClient.prompt().user("my name is John").stream().content()); assertThat(content).isEqualTo("Hello John"); @@ -162,9 +155,7 @@ public void streamingPromptChatMemory() { Message userMessage = promptCaptor.getValue().getInstructions().get(1); assertThat(userMessage.getContent()).isEqualToIgnoringWhitespace("my name is John"); - content = join(chatClient.prompt() - .user("What is my name?") - .stream().content()); + content = join(chatClient.prompt().user("What is my name?").stream().content()); assertThat(content).isEqualTo("Your name is John"); @@ -186,87 +177,97 @@ public void streamingPromptChatMemory() { assertThat(userMessage.getContent()).isEqualToIgnoringWhitespace("What is my name?"); } - public static class MockAdvisor implements RequestResponseAdvisor { + // public static class MockAdvisor implements RequestResponseAdvisor { - public AdvisedRequest advisedRequest; + // public AdvisedRequest advisedRequest; - public Map advisedRequestContext; + // public Map advisedRequestContext; - public Map chatResponseContext; + // public Map chatResponseContext; - public ChatResponse chatResponse; + // public ChatResponse chatResponse; - public Map fluxChatResponseContext; + // public Map fluxChatResponseContext; - public Flux fluxChatResponse; + // public Flux fluxChatResponse; - @Override - public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { - advisedRequest = request; - advisedRequestContext = context; + // @Override + // public AdvisedRequest adviseRequest(AdvisedRequest request, Map + // context) { + // advisedRequest = request; + // advisedRequestContext = context; - context.put("adviseRequest", "adviseRequest"); + // context.put("adviseRequest", "adviseRequest"); - return request; - } + // return request; + // } - @Override - public ChatResponse adviseResponse(ChatResponse response, Map context) { - chatResponse = response; - chatResponseContext = context; + // @Override + // public ChatResponse adviseResponse(ChatResponse response, Map + // context) { + // chatResponse = response; + // chatResponseContext = context; - context.put("adviseResponse", "adviseResponse"); - return response; - } + // context.put("adviseResponse", "adviseResponse"); + // return response; + // } - @Override - public Flux adviseResponse(Flux fluxResponse, Map context) { - fluxChatResponse = fluxResponse; - fluxChatResponseContext = context; + // @Override + // public Flux adviseResponse(Flux fluxResponse, + // Map context) { + // fluxChatResponse = fluxResponse; + // fluxChatResponseContext = context; - context.put("fluxAdviseResponse", "fluxAdviseResponse"); + // context.put("fluxAdviseResponse", "fluxAdviseResponse"); - return fluxResponse; - } + // return fluxResponse; + // } - }; + // }; - @Test - public void advisors() { + // @Test + // public void advisors() { - var mockAdvisor = new MockAdvisor(); + // var mockAdvisor = new MockAdvisor(); - when(chatModel.call(promptCaptor.capture())).thenReturn(new ChatResponse(List.of(new Generation("Hello John")))) - .thenReturn(new ChatResponse(List.of(new Generation("Your name is John")))); + // when(chatModel.call(promptCaptor.capture())) + // .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello + // John"))))) + // .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Your name + // is John"))))); - when(chatModel.call(promptCaptor.capture())).thenReturn(new ChatResponse(List.of(new Generation("Hello John")))) - .thenReturn(new ChatResponse(List.of(new Generation("Your name is John")))); + // when(chatModel.call(promptCaptor.capture())) + // .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello + // John"))))) + // .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Your name + // is John"))))); - var chatClient = ChatClient.builder(chatModel) - .defaultSystem("Default system text.") - .defaultAdvisors(mockAdvisor) - .build(); + // var chatClient = ChatClient.builder(chatModel) + // .defaultSystem("Default system text.") + // .defaultAdvisors(mockAdvisor) + // .build(); - var content = chatClient.prompt() - .user("my name is John") - .advisors(a -> a.param("key1", "value1").params(Map.of("key2", "value2"))) - .call() - .content(); + // var content = chatClient.prompt() + // .user("my name is John") + // .advisors(a -> a.param("key1", "value1").params(Map.of("key2", "value2"))) + // .call() + // .content(); - assertThat(content).isEqualTo("Hello John"); + // assertThat(content).isEqualTo("Hello John"); - assertThat(mockAdvisor.advisedRequestContext).containsEntry("key1", "value1") - .containsEntry("key2", "value2") - .containsEntry("adviseRequest", "adviseRequest"); - assertThat(mockAdvisor.advisedRequest.advisorParams()).containsEntry("key1", "value1") - .containsEntry("key2", "value2") - .doesNotContainKey("adviseRequest"); - - assertThat(mockAdvisor.chatResponseContext).containsEntry("key1", "value1") - .containsEntry("key2", "value2") - .containsEntry("adviseRequest", "adviseRequest") - .containsEntry("adviseResponse", "adviseResponse"); - assertThat(mockAdvisor.chatResponse).isNotNull(); - } + // assertThat(mockAdvisor.advisedRequestContext).containsEntry("key1", "value1") + // .containsEntry("key2", "value2") + // .containsEntry("adviseRequest", "adviseRequest"); + // assertThat(mockAdvisor.advisedRequest.advisorParams()).containsEntry("key1", + // "value1") + // .containsEntry("key2", "value2") + // .doesNotContainKey("adviseRequest"); + + // assertThat(mockAdvisor.chatResponseContext).containsEntry("key1", "value1") + // .containsEntry("key2", "value2") + // .containsEntry("adviseRequest", "adviseRequest") + // .containsEntry("adviseResponse", "adviseResponse"); + // assertThat(mockAdvisor.chatResponse).isNotNull(); + // } } diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java new file mode 100644 index 00000000000..b77fdb16252 --- /dev/null +++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java @@ -0,0 +1,183 @@ +/* + * Copyright 2024-2024 the original author or authors. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.springframework.ai.chat.client.advisor; + +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.Mockito.when; + +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.extension.ExtendWith; +import org.mockito.ArgumentCaptor; +import org.mockito.Captor; +import org.mockito.Mock; +import org.mockito.junit.jupiter.MockitoExtension; +import org.springframework.ai.chat.client.ChatClient; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.messages.AssistantMessage; +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.Prompt; + +import reactor.core.publisher.Flux; + +/** + * @author Christian Tzolov + */ +@ExtendWith(MockitoExtension.class) +public class AdvisorsTests { + + @Mock + ChatModel chatModel; + + @Captor + ArgumentCaptor promptCaptor; + + public class MockAroundAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { + + public AdvisedRequest advisedRequest; + + public AdvisedResponse advisedResponse; + + public List aroundAdvisedResponses = new ArrayList<>(); + + @Override + public String getName() { + return "MockAroundAdvisor"; + } + + @Override + public int getOrder() { + return 0; + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + this.advisedRequest = advisedRequest.updateContext(context -> { + context.put("aroundCallBefore", "AROUND_CALL_BEFORE"); + return context; + }); + + AdvisedResponse advisedResponse = this.advisedResponse = chain.nextAroundCall(this.advisedRequest); + + this.advisedResponse = advisedResponse.updateContext(context -> { + context.put("aroundCallAfter", "AROUND_CALL_AFTER"); + return context; + }); + + return this.advisedResponse; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + + this.advisedRequest = advisedRequest.updateContext(context -> { + context.put("aroundStreamBefore", "AROUND_STREAM_BEFORE"); + return context; + }); + + Flux advisedResponseStream = chain.nextAroundStream(this.advisedRequest); + + return advisedResponseStream.map(advisedResponse -> { + return advisedResponse.updateContext(context -> { + context.put("aroundStreamAfter", "AROUND_STREAM_AFTER"); + return context; + }); + }).doOnNext(ar -> this.aroundAdvisedResponses.add(ar)); + + } + + } + + @Test + public void callAdvisorsContextPropagation() { + + var mockAroundAdvisor = new MockAroundAdvisor(); + + when(chatModel.call(promptCaptor.capture())) + .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello John"))))) + .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Your name is John"))))); + + var chatClient = ChatClient.builder(chatModel) + .defaultSystem("Default system text.") + .defaultAdvisors(mockAroundAdvisor) + .build(); + + var content = chatClient.prompt() + .user("my name is John") + .advisors(a -> a.param("key1", "value1").params(Map.of("key2", "value2"))) + .call() + .content(); + + assertThat(content).isEqualTo("Hello John"); + + // AROUND + assertThat(mockAroundAdvisor.advisedResponse.response()).isNotNull(); + assertThat(mockAroundAdvisor.advisedResponse.adviseContext()).containsEntry("key1", "value1") + .containsEntry("key2", "value2") + .containsEntry("aroundCallBefore", "AROUND_CALL_BEFORE") + .containsEntry("aroundCallAfter", "AROUND_CALL_AFTER"); + } + + @Test + public void streamAdvisorsContextPropagation() { + + var mockAroundAdvisor = new MockAroundAdvisor(); + + when(chatModel.stream(promptCaptor.capture())) + .thenReturn(Flux.just(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello")))), + new ChatResponse(List.of(new Generation(new AssistantMessage(" John")))))); + + var chatClient = ChatClient.builder(chatModel) + .defaultSystem("Default system text.") + .defaultAdvisors(mockAroundAdvisor) + .build(); + + var content = chatClient.prompt() + .user("my name is John") + .advisors(a -> a.param("key1", "value1").params(Map.of("key2", "value2"))) + .stream() + .content() + .collectList() + .block() + .stream() + .collect(Collectors.joining()); + + assertThat(content).isEqualTo("Hello John"); + + // AROUND + assertThat(mockAroundAdvisor.aroundAdvisedResponses).isNotEmpty(); + + mockAroundAdvisor.aroundAdvisedResponses.stream().forEach(advisedResponse -> { + assertThat(advisedResponse.adviseContext()).containsEntry("key1", "value1") + .containsEntry("key2", "value2") + .containsEntry("aroundStreamBefore", "AROUND_STREAM_BEFORE") + .containsEntry("aroundStreamAfter", "AROUND_STREAM_AFTER"); + }); + } + +} diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java index 7067139d6a3..5a2c9997fb5 100644 --- a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java +++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java @@ -25,8 +25,8 @@ import org.junit.jupiter.api.extension.ExtendWith; import org.mockito.Mock; import org.mockito.junit.jupiter.MockitoExtension; -import org.springframework.ai.chat.client.AdvisedRequest; import org.springframework.ai.chat.client.DefaultChatClient.DefaultChatClientRequestSpec; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.RequestResponseAdvisor; import org.springframework.ai.chat.client.observation.ChatClientObservationDocumentation.HighCardinalityKeyNames; import org.springframework.ai.chat.client.observation.ChatClientObservationDocumentation.LowCardinalityKeyNames; @@ -96,6 +96,11 @@ public String getName() { return name; } + @Override + public int getOrder() { + return 0; + } + @Override public AdvisedRequest adviseRequest(AdvisedRequest request, Map context) { return request; From 9d4c1467cb9efc323b5256e6d8b75c311534a125 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dariusz=20J=C4=99drzejczyk?= Date: Fri, 27 Sep 2024 12:33:32 +0200 Subject: [PATCH 02/24] Refactored advisors even further --- .../chat/OpenAiPaymentTransactionIT.java | 4 +- .../VertexAiGeminiPaymentTransactionIT.java | 4 +- .../ai/chat/client/DefaultChatClient.java | 26 +++-- .../chat/client/RequestResponseAdvisor.java | 12 +-- .../advisor/AbstractChatMemoryAdvisor2.java | 92 ------------------ .../advisor/DefaultAroundAdvisorChain.java | 47 ++++----- .../advisor/MessageChatMemoryAdvisor.java | 7 +- .../advisor/MessageChatMemoryAdvisor2.java | 97 ------------------- .../advisor/PromptChatMemoryAdvisor.java | 7 +- .../client/advisor/QuestionAnswerAdvisor.java | 7 +- .../advisor/SafeGuardAroundAdvisor.java | 7 +- .../client/advisor/SimpleLoggerAdvisor.java | 7 +- .../advisor/VectorStoreChatMemoryAdvisor.java | 24 ++++- .../api/AbstractBlaCallAroundAdvisor.java | 68 ------------- .../ai/chat/client/advisor/api/Advisor.java | 9 +- .../client/advisor/api/CallAroundAdvisor.java | 6 +- .../advisor/api/CallAroundAdvisorChain.java | 7 ++ .../advisor/api/StreamAggregationAdvisor.java | 9 ++ .../advisor/api/StreamAroundAdvisor.java | 4 +- ...ain.java => StreamAroundAdvisorChain.java} | 4 +- .../ai/chat/memory/ChatMemory.java | 2 + .../ai/chat/client/advisor/AdvisorsTests.java | 7 +- 22 files changed, 117 insertions(+), 340 deletions(-) delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java create mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java create mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java rename spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/{AroundAdvisorChain.java => StreamAroundAdvisorChain.java} (62%) diff --git a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java index 786554ba962..26635b2fde9 100644 --- a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java +++ b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/OpenAiPaymentTransactionIT.java @@ -31,7 +31,7 @@ import org.springframework.ai.chat.client.ChatClient; import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.converter.BeanOutputConverter; import org.springframework.ai.model.function.FunctionCallbackContext; @@ -79,7 +79,7 @@ public int getOrder() { } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { advisedRequest = this.before(advisedRequest); diff --git a/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java b/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java index b738c2f812b..0572d4151b9 100644 --- a/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java +++ b/models/spring-ai-vertex-ai-gemini/src/test/java/org/springframework/ai/vertexai/gemini/function/VertexAiGeminiPaymentTransactionIT.java @@ -31,7 +31,7 @@ import org.springframework.ai.chat.client.ChatClient; import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.model.function.FunctionCallbackContext; import org.springframework.ai.model.function.FunctionCallbackWrapper.Builder.SchemaType; @@ -80,7 +80,7 @@ public int getOrder() { } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { var response = chain.nextAroundCall(before(advisedRequest)); observeAfter(response); return response; diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java index 7a636ff8574..b097271e765 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java @@ -32,9 +32,10 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.client.advisor.api.Advisor; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.client.observation.ChatClientObservationContext; import org.springframework.ai.chat.client.observation.ChatClientObservationConvention; import org.springframework.ai.chat.client.observation.ChatClientObservationDocumentation; @@ -419,7 +420,17 @@ private Flux doGetObservableFluxChatResponse(DefaultChatClientRequ // @formatter:off // Apply the around advisor chain that terminates with the, last, // model call advisor. - return inputRequest.aroundAdvisorChain.nextAroundStream(initialAdvisedRequest) +// StreamAggregationAdvisor aggregationAdvisor = +// advisedResponse -> couchbaseClient.streamToBucket(advisedResponse).then(); +// +// List streamAggregationAdvisors = List.of(aggregationAdvisor); + Flux stream = inputRequest.aroundAdvisorChain.nextAroundStream(initialAdvisedRequest); + +// if (aggregationAdvisor != null) { +// stream = new MessageAggregator().aggregateAdvisedResponse(stream, aggregationAdvisor); +// } + + return stream .map(AdvisedResponse::response) .doOnError(observation::error) .doFinally(s -> observation.stop()) @@ -476,7 +487,7 @@ public static class DefaultChatClientRequestSpec implements ChatClientRequestSpe private final DefaultAroundAdvisorChain aroundAdvisorChain; - public AroundAdvisorChain getAroundAdvisorChain() { + public CallAroundAdvisorChain getAroundAdvisorChain() { return this.aroundAdvisorChain; } @@ -580,7 +591,7 @@ public int getOrder() { } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { return new AdvisedResponse(chatModel.call(advisedRequest.toPrompt()), Collections.unmodifiableMap(advisedRequest.adviseContext())); } }) @@ -597,7 +608,9 @@ public int getOrder() { } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { + // TODO: use aggregate stream advisors and apply over the original + // stream return chatModel.stream(advisedRequest.toPrompt()) .map( chatResponse -> new AdvisedResponse(chatResponse, Collections.unmodifiableMap(advisedRequest.adviseContext()))) .publishOn(Schedulers.boundedElastic());// TODO add option to disable. @@ -635,21 +648,18 @@ public ChatClientRequestSpec advisors(Consumer consumer) consumer.accept(as); this.advisorParams.putAll(as.getParams()); this.advisors.addAll(as.getAdvisors()); - this.aroundAdvisorChain.pushAll(as.getAdvisors()); return this; } public ChatClientRequestSpec advisors(Advisor... advisors) { Assert.notNull(advisors, "the advisors must be non-null"); this.advisors.addAll(Arrays.asList(advisors)); - this.aroundAdvisorChain.pushAll(Arrays.asList(advisors)); return this; } public ChatClientRequestSpec advisors(List advisors) { Assert.notNull(advisors, "the advisors must be non-null"); this.advisors.addAll(advisors); - this.aroundAdvisorChain.pushAll(advisors); return this; } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java index 7481d8a8f43..a0bb49b0b48 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/RequestResponseAdvisor.java @@ -20,13 +20,13 @@ import java.util.HashMap; import java.util.Map; import java.util.concurrent.ConcurrentHashMap; -import java.util.concurrent.atomic.AtomicReference; import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.model.ChatModel; import org.springframework.ai.chat.model.ChatResponse; import org.springframework.ai.chat.prompt.Prompt; @@ -38,8 +38,8 @@ * {@link ChatModel#stream(Prompt)} methods calls. The {@link ChatClient} maintains a * chain of advisors with shared advise context. * - * @deprecated since 1.0.0 please use {@link CallAroundAdvisor}, - * {@link StreamAroundAdvisor}, {@link ObservingAfterAdvisor} instead. + * @deprecated since 1.0.0 please use {@link CallAroundAdvisor} or + * {@link StreamAroundAdvisor} instead. * @author Christian Tzolov * @since 1.0.0 */ @@ -64,7 +64,7 @@ default Flux adviseResponse(Flux fluxResponse, Map(advisedRequest.adviseContext()); var requestPrim = adviseRequest(advisedRequest, context); advisedRequest = AdvisedRequest.from(requestPrim) @@ -78,7 +78,7 @@ default AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorC return new AdvisedResponse(chatResponse, Collections.unmodifiableMap(context)); } - default Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + default Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { ConcurrentHashMap context = new ConcurrentHashMap<>(advisedRequest.adviseContext()); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java deleted file mode 100644 index d6492be750d..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor2.java +++ /dev/null @@ -1,92 +0,0 @@ -/* - * Copyright 2024-2024 the original author or authors. - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * https://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.springframework.ai.chat.client.advisor; - -import java.util.Map; - -import org.springframework.ai.chat.client.advisor.api.AbstractBlaCallAroundAdvisor; -import org.springframework.core.Ordered; -import org.springframework.util.Assert; - -/** - * Abstract class that serves as a base for chat memory advisors. - * - * @param the type of the chat memory. - * @author Christian Tzolov - * @since 1.0.0 - */ -public abstract class AbstractChatMemoryAdvisor2 extends AbstractBlaCallAroundAdvisor { - - public static final String CHAT_MEMORY_CONVERSATION_ID_KEY = "chat_memory_conversation_id"; - - public static final String CHAT_MEMORY_RETRIEVE_SIZE_KEY = "chat_memory_response_size"; - - public static final String DEFAULT_CHAT_MEMORY_CONVERSATION_ID = "default"; - - public static final int DEFAULT_CHAT_MEMORY_RESPONSE_SIZE = 100; - - protected final T chatMemoryStore; - - protected final String defaultConversationId; - - protected final int defaultChatMemoryRetrieveSize; - - public AbstractChatMemoryAdvisor2(T chatMemory) { - this(chatMemory, DEFAULT_CHAT_MEMORY_CONVERSATION_ID, DEFAULT_CHAT_MEMORY_RESPONSE_SIZE); - } - - public AbstractChatMemoryAdvisor2(T chatMemory, String defaultConversationId, int defaultChatMemoryRetrieveSize) { - - Assert.notNull(chatMemory, "The chatMemory must not be null!"); - Assert.hasText(defaultConversationId, "The conversationId must not be empty!"); - Assert.isTrue(defaultChatMemoryRetrieveSize > 0, "The defaultChatMemoryRetrieveSize must be greater than 0!"); - - this.chatMemoryStore = chatMemory; - this.defaultConversationId = defaultConversationId; - this.defaultChatMemoryRetrieveSize = defaultChatMemoryRetrieveSize; - } - - @Override - public String getName() { - return this.getClass().getSimpleName(); - } - - @Override - public int getOrder() { - // ensure it has lower priority (e.g. precedences) than the internal advisors. - // It leaves room (100 slots) for the user to plug in their own advisors with - // higher priority. - return Ordered.HIGHEST_PRECEDENCE + 100; - } - - protected T getChatMemoryStore() { - return this.chatMemoryStore; - } - - protected String doGetConversationId(Map context) { - - return context.containsKey(CHAT_MEMORY_CONVERSATION_ID_KEY) - ? context.get(CHAT_MEMORY_CONVERSATION_ID_KEY).toString() : this.defaultConversationId; - } - - protected int doGetChatMemoryRetrieveSize(Map context) { - return context.containsKey(CHAT_MEMORY_RETRIEVE_SIZE_KEY) - ? Integer.parseInt(context.get(CHAT_MEMORY_RETRIEVE_SIZE_KEY).toString()) - : this.defaultChatMemoryRetrieveSize; - } - -} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java index 86edd4fbc19..10eb35d8cea 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java @@ -8,9 +8,10 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.client.advisor.api.Advisor; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.observation.AdvisorObservationContext; import org.springframework.ai.chat.client.advisor.observation.AdvisorObservationConvention; import org.springframework.ai.chat.client.advisor.observation.AdvisorObservationDocumentation; @@ -23,7 +24,7 @@ import io.micrometer.observation.contextpropagation.ObservationThreadLocalAccessor; import reactor.core.publisher.Flux; -public class DefaultAroundAdvisorChain implements AroundAdvisorChain { +public class DefaultAroundAdvisorChain implements CallAroundAdvisorChain, StreamAroundAdvisorChain { public static final AdvisorObservationConvention DEFAULT_OBSERVATION_CONVENTION = new DefaultAdvisorObservationConvention(); @@ -33,35 +34,25 @@ public class DefaultAroundAdvisorChain implements AroundAdvisorChain { private final ObservationRegistry observationRegistry; - public DefaultAroundAdvisorChain(ObservationRegistry observationRegistry) { - this(observationRegistry, new ArrayDeque(), new ArrayDeque()); - } - - public DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, - Deque callAroundAdvisors, Deque streamAroundAdvisors) { - Assert.notNull(callAroundAdvisors, "the callAroundAdvisors must be non-null"); + DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, List advisors) { + Assert.notNull(advisors, "the callAroundAdvisors must be non-null"); this.observationRegistry = observationRegistry; - this.callAroundAdvisors = callAroundAdvisors; - this.streamAroundAdvisors = streamAroundAdvisors; - } - - public DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, List advisors) { - this(observationRegistry); + this.callAroundAdvisors = new ArrayDeque<>(); + this.streamAroundAdvisors = new ArrayDeque<>(); Assert.notNull(advisors, "the advisors must be non-null"); this.pushAll(advisors); } - public void pushAll(List advisors) { + void pushAll(List advisors) { Assert.notNull(advisors, "the advisors must be non-null"); if (!CollectionUtils.isEmpty(advisors)) { - List callAroundAdvisors = advisors.stream() .filter(a -> a instanceof CallAroundAdvisor) .map(a -> (CallAroundAdvisor) a) .toList(); if (!CollectionUtils.isEmpty(callAroundAdvisors)) { - callAroundAdvisors.stream().forEach(this.callAroundAdvisors::push); + callAroundAdvisors.forEach(this.callAroundAdvisors::push); } List streamAroundAdvisors = advisors.stream() @@ -70,7 +61,7 @@ public void pushAll(List advisors) { .toList(); if (!CollectionUtils.isEmpty(streamAroundAdvisors)) { - streamAroundAdvisors.stream().forEach(this.streamAroundAdvisors::push); + streamAroundAdvisors.forEach(this.streamAroundAdvisors::push); } this.reOrder(); @@ -79,16 +70,15 @@ public void pushAll(List advisors) { public void reOrder() { // Order the advisors in priority order based on their Ordered attribute. - ArrayList temp = new ArrayList<>(this.callAroundAdvisors); OrderComparator.sort(temp); this.callAroundAdvisors.clear(); - temp.stream().forEach(this.callAroundAdvisors::addLast); + temp.forEach(this.callAroundAdvisors::addLast); ArrayList temp2 = new ArrayList<>(this.streamAroundAdvisors); OrderComparator.sort(temp2); this.streamAroundAdvisors.clear(); - temp2.stream().forEach(this.streamAroundAdvisors::addLast); + temp2.forEach(this.streamAroundAdvisors::addLast); } @Override @@ -114,9 +104,7 @@ public AdvisedResponse nextAroundCall(AdvisedRequest advisedRequest) { @Override public Flux nextAroundStream(AdvisedRequest advisedRequest) { - return Flux.deferContextual(contextView -> { - if (this.streamAroundAdvisors.isEmpty()) { return Flux.error(new IllegalStateException("No AroundAdvisor available to execute")); } @@ -137,9 +125,10 @@ public Flux nextAroundStream(AdvisedRequest advisedRequest) { // @formatter:off return Flux.defer(() -> advisor.aroundStream(advisedRequest, this)) - .doOnError(observation::error) - .doFinally(s -> { observation.stop(); - }).contextWrite(ctx -> ctx.put(ObservationThreadLocalAccessor.KEY, observation)); + .doOnError(observation::error) + .doFinally(s -> { + observation.stop(); + }).contextWrite(ctx -> ctx.put(ObservationThreadLocalAccessor.KEY, observation)); // @formatter:on }); } @@ -152,10 +141,12 @@ public static class Builder { private final DefaultAroundAdvisorChain aroundAdvisorChain; + // TODO(dj): this has all advisors actually; the build step filters the around + // advisors private final List aroundAdvisors = new ArrayList<>(); public Builder(ObservationRegistry observationRegistry) { - this.aroundAdvisorChain = new DefaultAroundAdvisorChain(observationRegistry); + this.aroundAdvisorChain = new DefaultAroundAdvisorChain(observationRegistry, aroundAdvisors); } public Builder push(Advisor aroundAdvisor) { diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java index aa66faf5399..3e12c646480 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java @@ -21,7 +21,8 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.memory.ChatMemory; import org.springframework.ai.chat.messages.Message; import org.springframework.ai.chat.messages.UserMessage; @@ -46,7 +47,7 @@ public MessageChatMemoryAdvisor(ChatMemory chatMemory, String defaultConversatio } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { advisedRequest = this.before(advisedRequest); @@ -58,7 +59,7 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorCh } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { advisedRequest = this.before(advisedRequest); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java deleted file mode 100644 index b6e40738342..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor2.java +++ /dev/null @@ -1,97 +0,0 @@ -/* - * Copyright 2024-2024 the original author or authors. - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * https://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.springframework.ai.chat.client.advisor; - -import java.util.ArrayList; -import java.util.List; - -import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; -import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.memory.ChatMemory; -import org.springframework.ai.chat.messages.Message; -import org.springframework.ai.chat.messages.UserMessage; -import org.springframework.ai.chat.model.MessageAggregator; - -import reactor.core.publisher.Flux; - -/** - * Memory is retrieved added as a collection of messages to the prompt - * - * @author Christian Tzolov - * @since 1.0.0 - */ -public class MessageChatMemoryAdvisor2 extends AbstractChatMemoryAdvisor2 { - - public MessageChatMemoryAdvisor2(ChatMemory chatMemory) { - super(chatMemory); - } - - public MessageChatMemoryAdvisor2(ChatMemory chatMemory, String defaultConversationId, int chatHistoryWindowSize) { - super(chatMemory, defaultConversationId, chatHistoryWindowSize); - } - - @Override - public AdvisedRequest doBefore(AdvisedRequest advisedRequest) { - return this.before(advisedRequest); - } - - @Override - public AdvisedResponse doAfter(AdvisedResponse advisedResponse) { - this.observeAfter(advisedResponse); - return advisedResponse; - } - - @Override - public Flux doAfterStream(Flux advisedResponses) { - return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); - } - - private AdvisedRequest before(AdvisedRequest request) { - - String conversationId = this.doGetConversationId(request.adviseContext()); - - int chatMemoryRetrieveSize = this.doGetChatMemoryRetrieveSize(request.adviseContext()); - - // 1. Retrieve the chat memory for the current conversation. - List memoryMessages = this.getChatMemoryStore().get(conversationId, chatMemoryRetrieveSize); - - // 2. Advise the request messages list. - List advisedMessages = new ArrayList<>(request.messages()); - advisedMessages.addAll(memoryMessages); - - // 3. Create a new request with the advised messages. - AdvisedRequest advisedRequest = AdvisedRequest.from(request).withMessages(advisedMessages).build(); - - // 4. Add the new user input to the conversation memory. - UserMessage userMessage = new UserMessage(request.userText(), request.media()); - this.getChatMemoryStore().add(this.doGetConversationId(request.adviseContext()), userMessage); - - return advisedRequest; - } - - private void observeAfter(AdvisedResponse advisedResponse) { - - List assistantMessages = advisedResponse.response() - .getResults() - .stream() - .map(g -> (Message) g.getOutput()) - .toList(); - - this.getChatMemoryStore().add(this.doGetConversationId(advisedResponse.adviseContext()), assistantMessages); - } - -} \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java index c140b41180c..4c620b26ebf 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java @@ -23,7 +23,8 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.memory.ChatMemory; import org.springframework.ai.chat.messages.Message; import org.springframework.ai.chat.messages.MessageType; @@ -70,7 +71,7 @@ public PromptChatMemoryAdvisor(ChatMemory chatMemory, String defaultConversation } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { advisedRequest = this.before(advisedRequest); @@ -82,7 +83,7 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorCh } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { advisedRequest = this.before(advisedRequest); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java index 63fe644a6a6..4aca349a27d 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java @@ -24,9 +24,10 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.model.ChatResponse; import org.springframework.ai.document.Document; import org.springframework.ai.model.Content; @@ -108,7 +109,7 @@ public int getOrder() { } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { AdvisedRequest advisedRequest2 = before(advisedRequest); @@ -118,7 +119,7 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorCh } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { advisedRequest = before(advisedRequest); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java index 6a0759832a8..5739dddb66a 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java @@ -4,9 +4,10 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.model.ChatResponse; import org.springframework.util.CollectionUtils; @@ -32,7 +33,7 @@ public String getName() { } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { if (!CollectionUtils.isEmpty(this.sensitiveWords) && sensitiveWords.stream().anyMatch(w -> advisedRequest.userText().contains(w))) { @@ -44,7 +45,7 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorCh } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { if (!CollectionUtils.isEmpty(this.sensitiveWords) && sensitiveWords.stream().anyMatch(w -> advisedRequest.userText().contains(w))) { diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java index 356cc3558e2..f327c3b5504 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SimpleLoggerAdvisor.java @@ -21,9 +21,10 @@ import org.slf4j.LoggerFactory; import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.model.ChatResponse; import org.springframework.ai.chat.model.MessageAggregator; import org.springframework.ai.model.ModelOptionsUtils; @@ -86,7 +87,7 @@ public String toString() { } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { advisedRequest = before(advisedRequest); @@ -98,7 +99,7 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorCh } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { advisedRequest = before(advisedRequest); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java index 3eb3d6b7d56..d6ba342f685 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java @@ -23,7 +23,8 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.messages.AssistantMessage; import org.springframework.ai.chat.messages.Message; import org.springframework.ai.chat.messages.MessageType; @@ -35,6 +36,8 @@ import org.springframework.ai.vectorstore.VectorStore; import reactor.core.publisher.Flux; +import reactor.core.publisher.Mono; +import reactor.core.scheduler.Schedulers; /** * Memory is retrieved from a VectorStore added into the prompt's system text. @@ -61,6 +64,8 @@ public class VectorStoreChatMemoryAdvisor extends AbstractChatMemoryAdvisor aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { - advisedRequest = this.before(advisedRequest); + // This can be executed by both blocking and non-blocking Threads + // E.g. a command line or Tomcat blocking Thread implementation + // or by a WebFlux dispatch in a non-blocking manner. + if (protectFromBlocking) { + advisedRequest = this.before(advisedRequest); + } + + Mono mono = Mono.just(advisedRequest).publishOn(Schedulers.boundedElastic()).map(this::before); - Flux advisedResponses = chain.nextAroundStream(advisedRequest); + Flux advisedResponses = mono.flatMapMany(request -> chain.nextAroundStream(request)); + // The observeAfter will certainly be executed on non-blocking Threads in case + // of some models - e.g. when the model client is a WebClient return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java deleted file mode 100644 index f4bd27cabb5..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AbstractBlaCallAroundAdvisor.java +++ /dev/null @@ -1,68 +0,0 @@ -/* -* Copyright 2024 - 2024 the original author or authors. -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* https://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ -package org.springframework.ai.chat.client.advisor.api; - -import reactor.core.publisher.Flux; - -/** - * @author Christian Tzolov - * @since 1.0.0 - */ - -public abstract class AbstractBlaCallAroundAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { - - public abstract AdvisedRequest doBefore(AdvisedRequest advisedRequest); - - public abstract AdvisedResponse doAfter(AdvisedResponse advisedResponse); - - public abstract Flux doAfterStream(Flux advisedResponse); - - @Override - final public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { - - // - advisedRequest = this.doBefore(advisedRequest); - // - - // - AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); - // - - // - var after = this.doAfter(advisedResponse); - // - - return after; - } - - final public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { - - // - advisedRequest = this.doBefore(advisedRequest); - // - - // - Flux advisedResponse = chain.nextAroundStream(advisedRequest); - // - - // - var after = this.doAfterStream(advisedResponse); - // - - return after; - } - -} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java index 0cadcf7b5ee..f7a97fc36da 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java @@ -15,19 +15,18 @@ */ package org.springframework.ai.chat.client.advisor.api; +import org.springframework.core.Ordered; + /** * Parent advisor interface for all advisors. * * @author Christian Tzolov * @since 1.0.0 - * @see BeforeAdvisor - * @see ObservingAfterAdvisor - * @see AfterAdvisor * @see CallAroundAdvisor * @see StreamAroundAdvisor - * @see AroundAdvisorChain + * @see CallAroundAdvisorChain */ -public interface Advisor { +public interface Advisor extends Ordered { /** * @return the advisor name. diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java index b9b9d1917e9..c44130ee443 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java @@ -15,14 +15,12 @@ */ package org.springframework.ai.chat.client.advisor.api; -import org.springframework.core.Ordered; - /** * @author Christian Tzolov * @since 1.0.0 */ -public interface CallAroundAdvisor extends Advisor, Ordered { +public interface CallAroundAdvisor extends Advisor { /** * Around advice that wraps the ChatModel#call(Prompt) method. @@ -30,6 +28,6 @@ public interface CallAroundAdvisor extends Advisor, Ordered { * @param chain the advisor chain * @return the response */ - AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain); + AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain); } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java new file mode 100644 index 00000000000..09c2a4e9a91 --- /dev/null +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java @@ -0,0 +1,7 @@ +package org.springframework.ai.chat.client.advisor.api; + +public interface CallAroundAdvisorChain { + + AdvisedResponse nextAroundCall(AdvisedRequest advisedRequest); + +} \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java new file mode 100644 index 00000000000..24a9f0a2e62 --- /dev/null +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java @@ -0,0 +1,9 @@ +package org.springframework.ai.chat.client.advisor.api; + +import reactor.core.publisher.Mono; + +public interface StreamAggregationAdvisor extends Advisor { + + Mono accept(AdvisedResponse advisedResponse); + +} diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java index ff4bec5f4e3..aa97721f1dc 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java @@ -23,7 +23,7 @@ * @author Christian Tzolov * @since 1.0.0 */ -public interface StreamAroundAdvisor extends Advisor, Ordered { +public interface StreamAroundAdvisor extends Advisor { /** * Around advice that wraps the invocation of the advised request. @@ -31,6 +31,6 @@ public interface StreamAroundAdvisor extends Advisor, Ordered { * @param chain the chain of advisors to execute * @return the result of the advised request */ - Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain); + Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain); } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisorChain.java similarity index 62% rename from spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AroundAdvisorChain.java rename to spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisorChain.java index ce44782f33b..99981d99fef 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/AroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisorChain.java @@ -2,9 +2,7 @@ import reactor.core.publisher.Flux; -public interface AroundAdvisorChain { - - AdvisedResponse nextAroundCall(AdvisedRequest advisedRequest); +public interface StreamAroundAdvisorChain { Flux nextAroundStream(AdvisedRequest advisedRequest); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/memory/ChatMemory.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/memory/ChatMemory.java index 6d383c0c43c..c4e9b33f0db 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/memory/ChatMemory.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/memory/ChatMemory.java @@ -30,6 +30,8 @@ */ public interface ChatMemory { + // TODO: consider a non-blocking interface for streaming usages + default void add(String conversationId, Message message) { this.add(conversationId, List.of(message)); } diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java index b77fdb16252..5b1d18cfc17 100644 --- a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java +++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java @@ -33,9 +33,10 @@ import org.springframework.ai.chat.client.ChatClient; import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; -import org.springframework.ai.chat.client.advisor.api.AroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.messages.AssistantMessage; import org.springframework.ai.chat.model.ChatModel; import org.springframework.ai.chat.model.ChatResponse; @@ -75,7 +76,7 @@ public int getOrder() { } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { this.advisedRequest = advisedRequest.updateContext(context -> { context.put("aroundCallBefore", "AROUND_CALL_BEFORE"); @@ -93,7 +94,7 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, AroundAdvisorCh } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, AroundAdvisorChain chain) { + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { this.advisedRequest = advisedRequest.updateContext(context -> { context.put("aroundStreamBefore", "AROUND_STREAM_BEFORE"); From 46d8dd95ca8d2ef64c19561798338434232889a6 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Fri, 27 Sep 2024 13:45:09 +0200 Subject: [PATCH 03/24] Minor code style improvements --- .../advisor/DefaultAroundAdvisorChain.java | 33 +++++++++++-------- 1 file changed, 19 insertions(+), 14 deletions(-) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java index 10eb35d8cea..d6532d26f7d 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java @@ -35,11 +35,10 @@ public class DefaultAroundAdvisorChain implements CallAroundAdvisorChain, Stream private final ObservationRegistry observationRegistry; DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, List advisors) { - Assert.notNull(advisors, "the callAroundAdvisors must be non-null"); + Assert.notNull(advisors, "the advisors must be non-null"); this.observationRegistry = observationRegistry; this.callAroundAdvisors = new ArrayDeque<>(); this.streamAroundAdvisors = new ArrayDeque<>(); - Assert.notNull(advisors, "the advisors must be non-null"); this.pushAll(advisors); } @@ -68,17 +67,24 @@ void pushAll(List advisors) { } } - public void reOrder() { - // Order the advisors in priority order based on their Ordered attribute. - ArrayList temp = new ArrayList<>(this.callAroundAdvisors); - OrderComparator.sort(temp); + /** + * (Re)orders the advisors in priority order based on their Ordered attribute. + * + * Note: this can be thread unsafe if the advisors are dynamically modified in the + * prompt. To avoid this make sure to set advisors only in the ChatClient default + * (e.g.builder) section. + */ + private void reOrder() { + // + ArrayList callAdvisors = new ArrayList<>(this.callAroundAdvisors); + OrderComparator.sort(callAdvisors); this.callAroundAdvisors.clear(); - temp.forEach(this.callAroundAdvisors::addLast); + callAdvisors.forEach(this.callAroundAdvisors::addLast); - ArrayList temp2 = new ArrayList<>(this.streamAroundAdvisors); - OrderComparator.sort(temp2); + ArrayList streamAdvisors = new ArrayList<>(this.streamAroundAdvisors); + OrderComparator.sort(streamAdvisors); this.streamAroundAdvisors.clear(); - temp2.forEach(this.streamAroundAdvisors::addLast); + streamAdvisors.forEach(this.streamAroundAdvisors::addLast); } @Override @@ -139,14 +145,14 @@ public static Builder builder(ObservationRegistry observationRegistry) { public static class Builder { - private final DefaultAroundAdvisorChain aroundAdvisorChain; + private final ObservationRegistry observationRegistry; // TODO(dj): this has all advisors actually; the build step filters the around // advisors private final List aroundAdvisors = new ArrayList<>(); public Builder(ObservationRegistry observationRegistry) { - this.aroundAdvisorChain = new DefaultAroundAdvisorChain(observationRegistry, aroundAdvisors); + this.observationRegistry = observationRegistry; } public Builder push(Advisor aroundAdvisor) { @@ -162,8 +168,7 @@ public Builder pushAll(List aroundAdvisors) { } public DefaultAroundAdvisorChain build() { - this.aroundAdvisorChain.pushAll(this.aroundAdvisors); - return this.aroundAdvisorChain; + return new DefaultAroundAdvisorChain(this.observationRegistry, this.aroundAdvisors); } } From add5c9fc77bdd5798ac1209ef3ebff456dd0ed63 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Fri, 27 Sep 2024 15:18:48 +0200 Subject: [PATCH 04/24] Add missing javadocs --- .../advisor/DefaultAroundAdvisorChain.java | 34 ++++++++++++++++--- .../ai/chat/client/advisor/api/Advisor.java | 1 + .../client/advisor/api/CallAroundAdvisor.java | 1 + .../advisor/api/CallAroundAdvisorChain.java | 23 +++++++++++++ .../advisor/api/StreamAggregationAdvisor.java | 23 +++++++++++++ .../advisor/api/StreamAroundAdvisor.java | 3 +- .../advisor/api/StreamAroundAdvisorChain.java | 23 +++++++++++++ 7 files changed, 101 insertions(+), 7 deletions(-) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java index d6532d26f7d..d849025d1e6 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java @@ -1,15 +1,30 @@ +/* +* Copyright 2024 - 2024 the original author or authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* https://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ package org.springframework.ai.chat.client.advisor; -import java.util.ArrayDeque; import java.util.ArrayList; import java.util.Deque; import java.util.List; +import java.util.concurrent.ConcurrentLinkedDeque; import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.client.advisor.api.Advisor; -import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.ai.chat.client.advisor.observation.AdvisorObservationContext; @@ -24,6 +39,15 @@ import io.micrometer.observation.contextpropagation.ObservationThreadLocalAccessor; import reactor.core.publisher.Flux; +/** + * Implementation of the {@link CallAroundAdvisorChain} and + * {@link StreamAroundAdvisorChain}. Used by the {@link ChatClient} to delegate the call + * to the next {@link CallAroundAdvisor} or {@link StreamAroundAdvisor} in the chain. + * + * @author Christian Tzolov + * @author Dariusz Jedrzejczyk + * @since 1.0.0 + */ public class DefaultAroundAdvisorChain implements CallAroundAdvisorChain, StreamAroundAdvisorChain { public static final AdvisorObservationConvention DEFAULT_OBSERVATION_CONVENTION = new DefaultAdvisorObservationConvention(); @@ -37,8 +61,8 @@ public class DefaultAroundAdvisorChain implements CallAroundAdvisorChain, Stream DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, List advisors) { Assert.notNull(advisors, "the advisors must be non-null"); this.observationRegistry = observationRegistry; - this.callAroundAdvisors = new ArrayDeque<>(); - this.streamAroundAdvisors = new ArrayDeque<>(); + this.callAroundAdvisors = new ConcurrentLinkedDeque<>(); + this.streamAroundAdvisors = new ConcurrentLinkedDeque<>(); this.pushAll(advisors); } @@ -69,7 +93,7 @@ void pushAll(List advisors) { /** * (Re)orders the advisors in priority order based on their Ordered attribute. - * + * * Note: this can be thread unsafe if the advisors are dynamically modified in the * prompt. To avoid this make sure to set advisors only in the ChatClient default * (e.g.builder) section. diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java index f7a97fc36da..43ac6cba50b 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java @@ -21,6 +21,7 @@ * Parent advisor interface for all advisors. * * @author Christian Tzolov + * @author Dariusz Jedrzejczyk * @since 1.0.0 * @see CallAroundAdvisor * @see StreamAroundAdvisor diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java index c44130ee443..57d19df600e 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisor.java @@ -17,6 +17,7 @@ /** * @author Christian Tzolov + * @author Dariusz Jedrzejczyk * @since 1.0.0 */ diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java index 09c2a4e9a91..56b3240b00e 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/CallAroundAdvisorChain.java @@ -1,5 +1,28 @@ +/* +* Copyright 2024 - 2024 the original author or authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* https://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ package org.springframework.ai.chat.client.advisor.api; +/** + * The Call Around Advisor Chain is used to invoke the next Around Advisor in the chain. + * Used for non-streaming responses. + * + * @author Christian Tzolov + * @author Dariusz Jedrzejczyk + * @since 1.0.0 + */ public interface CallAroundAdvisorChain { AdvisedResponse nextAroundCall(AdvisedRequest advisedRequest); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java index 24a9f0a2e62..135aa367944 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java @@ -1,7 +1,30 @@ +/* +* Copyright 2024 - 2024 the original author or authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* https://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ package org.springframework.ai.chat.client.advisor.api; import reactor.core.publisher.Mono; +/** + * Streaming Around Advisor Chain is used to delegate the advised request to the next + * advisor in the chain. + * + * @author Christian Tzolov + * @author Dariusz Jedrzejczyk + * @since 1.0.0 + */ public interface StreamAggregationAdvisor extends Advisor { Mono accept(AdvisedResponse advisedResponse); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java index aa97721f1dc..69653dc45e5 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisor.java @@ -15,12 +15,11 @@ */ package org.springframework.ai.chat.client.advisor.api; -import org.springframework.core.Ordered; - import reactor.core.publisher.Flux; /** * @author Christian Tzolov + * @author Dariusz Jedrzejczyk * @since 1.0.0 */ public interface StreamAroundAdvisor extends Advisor { diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisorChain.java index 99981d99fef..49d5e0998c3 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAroundAdvisorChain.java @@ -1,7 +1,30 @@ +/* +* Copyright 2024 - 2024 the original author or authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* https://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ package org.springframework.ai.chat.client.advisor.api; import reactor.core.publisher.Flux; +/** + * The StreamAroundAdvisorChain is used to delegate the call to the next + * StreamAroundAdvisor in the chain. Used for streaming responses. + * + * @author Christian Tzolov + * @author Dariusz Jedrzejczyk + * @since 1.0.0 + */ public interface StreamAroundAdvisorChain { Flux nextAroundStream(AdvisedRequest advisedRequest); From 087551d84ddb533eda7ae672ba4379cd98a1ae42 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Fri, 27 Sep 2024 18:07:45 +0200 Subject: [PATCH 05/24] Improve advisor chain management in DefaultChatClient and DefaultAroundAdvisorChain - Refactor DefaultChatClient to use a builder pattern for advisor chain construction - Update DefaultAroundAdvisorChain to separate call and stream advisors - Improve advisor ordering and management in DefaultAroundAdvisorChain.Builder - Enhance AdvisorsTests to verify correct advisor execution order - Remove redundant reordering logic from DefaultAroundAdvisorChain --- .../ai/chat/client/DefaultChatClient.java | 105 ++++++++-------- .../advisor/DefaultAroundAdvisorChain.java | 112 +++++++++--------- .../ai/chat/client/advisor/AdvisorsTests.java | 71 +++++++---- 3 files changed, 158 insertions(+), 130 deletions(-) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java index b097271e765..c378b27b1e9 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java @@ -379,7 +379,8 @@ private ChatResponse doGetChatResponse(DefaultChatClientRequestSpec inputRequest // Apply the around advisor chain that terminates with the, last, model call // advisor. - AdvisedResponse advisedResponse = inputRequestSpec.aroundAdvisorChain.nextAroundCall(advisedRequest); + AdvisedResponse advisedResponse = inputRequestSpec.aroundAdvisorChainBuilder.build() + .nextAroundCall(advisedRequest); return advisedResponse.response(); } @@ -424,7 +425,7 @@ private Flux doGetObservableFluxChatResponse(DefaultChatClientRequ // advisedResponse -> couchbaseClient.streamToBucket(advisedResponse).then(); // // List streamAggregationAdvisors = List.of(aggregationAdvisor); - Flux stream = inputRequest.aroundAdvisorChain.nextAroundStream(initialAdvisedRequest); + Flux stream = inputRequest.aroundAdvisorChainBuilder.build().nextAroundStream(initialAdvisedRequest); // if (aggregationAdvisor != null) { // stream = new MessageAggregator().aggregateAdvisedResponse(stream, aggregationAdvisor); @@ -485,11 +486,7 @@ public static class DefaultChatClientRequestSpec implements ChatClientRequestSpe private final Map advisorParams = new HashMap<>(); - private final DefaultAroundAdvisorChain aroundAdvisorChain; - - public CallAroundAdvisorChain getAroundAdvisorChain() { - return this.aroundAdvisorChain; - } + private final DefaultAroundAdvisorChain.Builder aroundAdvisorChainBuilder; private ObservationRegistry getObservationRegistry() { return this.observationRegistry; @@ -574,51 +571,52 @@ public DefaultChatClientRequestSpec(ChatModel chatModel, String userText, Map aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { - // TODO: use aggregate stream advisors and apply over the original - // stream - return chatModel.stream(advisedRequest.toPrompt()) - .map( chatResponse -> new AdvisedResponse(chatResponse, Collections.unmodifiableMap(advisedRequest.adviseContext()))) - .publishOn(Schedulers.boundedElastic());// TODO add option to disable. - } - }) - .pushAll(this.advisors) - .build(); - // @formatter:on + // @formatter:off + // At the stack bottom add the non-streaming and streaming model call advisors. + // They play the role of the last advisor in the around advisor chain. + this.advisors.add(new CallAroundAdvisor() { + + @Override + public String getName() { + return CallAroundAdvisor.class.getSimpleName(); + } + + @Override + public int getOrder() { + return Ordered.LOWEST_PRECEDENCE; + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { + return new AdvisedResponse(chatModel.call(advisedRequest.toPrompt()), Collections.unmodifiableMap(advisedRequest.adviseContext())); + } + }); + + this.advisors.add(new StreamAroundAdvisor() { + + @Override + public String getName() { + return StreamAroundAdvisor.class.getSimpleName(); + } + + @Override + public int getOrder() { + return Ordered.LOWEST_PRECEDENCE; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { + // TODO: use aggregate stream advisors and apply over the original + // stream + return chatModel.stream(advisedRequest.toPrompt()) + .map( chatResponse -> new AdvisedResponse(chatResponse, Collections.unmodifiableMap(advisedRequest.adviseContext()))) + .publishOn(Schedulers.boundedElastic());// TODO add option to disable. + } + }); + // @formatter:on + + this.aroundAdvisorChainBuilder = DefaultAroundAdvisorChain.builder(observationRegistry) + .pushAll(this.advisors); } /** @@ -648,18 +646,21 @@ public ChatClientRequestSpec advisors(Consumer consumer) consumer.accept(as); this.advisorParams.putAll(as.getParams()); this.advisors.addAll(as.getAdvisors()); + this.aroundAdvisorChainBuilder.pushAll(as.getAdvisors()); return this; } public ChatClientRequestSpec advisors(Advisor... advisors) { Assert.notNull(advisors, "the advisors must be non-null"); this.advisors.addAll(Arrays.asList(advisors)); + this.aroundAdvisorChainBuilder.pushAll(Arrays.asList(advisors)); return this; } public ChatClientRequestSpec advisors(List advisors) { Assert.notNull(advisors, "the advisors must be non-null"); this.advisors.addAll(advisors); + this.aroundAdvisorChainBuilder.pushAll(advisors); return this; } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java index d849025d1e6..c8fff5b2eac 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/DefaultAroundAdvisorChain.java @@ -58,57 +58,16 @@ public class DefaultAroundAdvisorChain implements CallAroundAdvisorChain, Stream private final ObservationRegistry observationRegistry; - DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, List advisors) { - Assert.notNull(advisors, "the advisors must be non-null"); - this.observationRegistry = observationRegistry; - this.callAroundAdvisors = new ConcurrentLinkedDeque<>(); - this.streamAroundAdvisors = new ConcurrentLinkedDeque<>(); - this.pushAll(advisors); - } - - void pushAll(List advisors) { - Assert.notNull(advisors, "the advisors must be non-null"); - if (!CollectionUtils.isEmpty(advisors)) { - List callAroundAdvisors = advisors.stream() - .filter(a -> a instanceof CallAroundAdvisor) - .map(a -> (CallAroundAdvisor) a) - .toList(); - - if (!CollectionUtils.isEmpty(callAroundAdvisors)) { - callAroundAdvisors.forEach(this.callAroundAdvisors::push); - } + DefaultAroundAdvisorChain(ObservationRegistry observationRegistry, Deque callAroundAdvisors, + Deque streamAroundAdvisors) { - List streamAroundAdvisors = advisors.stream() - .filter(a -> a instanceof StreamAroundAdvisor) - .map(a -> (StreamAroundAdvisor) a) - .toList(); - - if (!CollectionUtils.isEmpty(streamAroundAdvisors)) { - streamAroundAdvisors.forEach(this.streamAroundAdvisors::push); - } - - this.reOrder(); - } - } + Assert.notNull(observationRegistry, "the observationRegistry must be non-null"); + Assert.notNull(callAroundAdvisors, "the callAroundAdvisors must be non-null"); + Assert.notNull(streamAroundAdvisors, "the streamAroundAdvisors must be non-null"); - /** - * (Re)orders the advisors in priority order based on their Ordered attribute. - * - * Note: this can be thread unsafe if the advisors are dynamically modified in the - * prompt. To avoid this make sure to set advisors only in the ChatClient default - * (e.g.builder) section. - */ - private void reOrder() { - // - ArrayList callAdvisors = new ArrayList<>(this.callAroundAdvisors); - OrderComparator.sort(callAdvisors); - this.callAroundAdvisors.clear(); - callAdvisors.forEach(this.callAroundAdvisors::addLast); - - ArrayList streamAdvisors = new ArrayList<>(this.streamAroundAdvisors); - OrderComparator.sort(streamAdvisors); - this.streamAroundAdvisors.clear(); - streamAdvisors.forEach(this.streamAroundAdvisors::addLast); + this.observationRegistry = observationRegistry; + this.callAroundAdvisors = callAroundAdvisors; + this.streamAroundAdvisors = streamAroundAdvisors; } @Override @@ -171,28 +130,65 @@ public static class Builder { private final ObservationRegistry observationRegistry; - // TODO(dj): this has all advisors actually; the build step filters the around - // advisors - private final List aroundAdvisors = new ArrayList<>(); + private final Deque callAroundAdvisors; + + private final Deque streamAroundAdvisors; public Builder(ObservationRegistry observationRegistry) { this.observationRegistry = observationRegistry; + this.callAroundAdvisors = new ConcurrentLinkedDeque<>(); + this.streamAroundAdvisors = new ConcurrentLinkedDeque<>(); } public Builder push(Advisor aroundAdvisor) { Assert.notNull(aroundAdvisor, "the aroundAdvisor must be non-null"); - this.aroundAdvisors.add(aroundAdvisor); - return this; + return this.pushAll(List.of(aroundAdvisor)); } - public Builder pushAll(List aroundAdvisors) { - Assert.notNull(aroundAdvisors, "the aroundAdvisors must be non-null"); - this.aroundAdvisors.addAll(aroundAdvisors); + public Builder pushAll(List advisors) { + Assert.notNull(advisors, "the advisors must be non-null"); + if (!CollectionUtils.isEmpty(advisors)) { + List callAroundAdvisors = advisors.stream() + .filter(a -> a instanceof CallAroundAdvisor) + .map(a -> (CallAroundAdvisor) a) + .toList(); + + if (!CollectionUtils.isEmpty(callAroundAdvisors)) { + callAroundAdvisors.forEach(this.callAroundAdvisors::push); + } + + List streamAroundAdvisors = advisors.stream() + .filter(a -> a instanceof StreamAroundAdvisor) + .map(a -> (StreamAroundAdvisor) a) + .toList(); + + if (!CollectionUtils.isEmpty(streamAroundAdvisors)) { + streamAroundAdvisors.forEach(this.streamAroundAdvisors::push); + } + + this.reOrder(); + } return this; } + /** + * (Re)orders the advisors in priority order based on their Ordered attribute. + */ + private void reOrder() { + ArrayList callAdvisors = new ArrayList<>(this.callAroundAdvisors); + OrderComparator.sort(callAdvisors); + this.callAroundAdvisors.clear(); + callAdvisors.forEach(this.callAroundAdvisors::addLast); + + ArrayList streamAdvisors = new ArrayList<>(this.streamAroundAdvisors); + OrderComparator.sort(streamAdvisors); + this.streamAroundAdvisors.clear(); + streamAdvisors.forEach(this.streamAroundAdvisors::addLast); + } + public DefaultAroundAdvisorChain build() { - return new DefaultAroundAdvisorChain(this.observationRegistry, this.aroundAdvisors); + return new DefaultAroundAdvisorChain(this.observationRegistry, this.callAroundAdvisors, + this.streamAroundAdvisors); } } diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java index 5b1d18cfc17..1272bcebda3 100644 --- a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java +++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/AdvisorsTests.java @@ -18,6 +18,7 @@ import static org.assertj.core.api.Assertions.assertThat; import static org.mockito.Mockito.when; +import static org.mockito.Mockito.verify; import java.util.ArrayList; import java.util.List; @@ -65,28 +66,39 @@ public class MockAroundAdvisor implements CallAroundAdvisor, StreamAroundAdvisor public List aroundAdvisedResponses = new ArrayList<>(); + private final String name; + + private final int order; + + public MockAroundAdvisor(String name, int order) { + this.name = name; + this.order = order; + } + @Override public String getName() { - return "MockAroundAdvisor"; + return name; } @Override public int getOrder() { - return 0; + return order; } @Override public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { this.advisedRequest = advisedRequest.updateContext(context -> { - context.put("aroundCallBefore", "AROUND_CALL_BEFORE"); + context.put("aroundCallBefore" + name, "AROUND_CALL_BEFORE " + name); + context.put("lastBefore", name); return context; }); AdvisedResponse advisedResponse = this.advisedResponse = chain.nextAroundCall(this.advisedRequest); this.advisedResponse = advisedResponse.updateContext(context -> { - context.put("aroundCallAfter", "AROUND_CALL_AFTER"); + context.put("aroundCallAfter" + name, "AROUND_CALL_AFTER " + name); + context.put("lastAfter", name); return context; }); @@ -97,7 +109,8 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvis public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { this.advisedRequest = advisedRequest.updateContext(context -> { - context.put("aroundStreamBefore", "AROUND_STREAM_BEFORE"); + context.put("aroundStreamBefore" + name, "AROUND_STREAM_BEFORE " + name); + context.put("lastBefore", name); return context; }); @@ -105,7 +118,8 @@ public Flux aroundStream(AdvisedRequest advisedRequest, StreamA return advisedResponseStream.map(advisedResponse -> { return advisedResponse.updateContext(context -> { - context.put("aroundStreamAfter", "AROUND_STREAM_AFTER"); + context.put("aroundStreamAfter" + name, "AROUND_STREAM_AFTER " + name); + context.put("lastAfter", name); return context; }); }).doOnNext(ar -> this.aroundAdvisedResponses.add(ar)); @@ -117,19 +131,22 @@ public Flux aroundStream(AdvisedRequest advisedRequest, StreamA @Test public void callAdvisorsContextPropagation() { - var mockAroundAdvisor = new MockAroundAdvisor(); + // Order==0 has higher priority thant order == 1. The lower the order the higher + // the priority. + var mockAroundAdvisor1 = new MockAroundAdvisor("Advisor1", 0); + var mockAroundAdvisor2 = new MockAroundAdvisor("Advisor2", 1); when(chatModel.call(promptCaptor.capture())) - .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello John"))))) - .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Your name is John"))))); + .thenReturn(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello John"))))); var chatClient = ChatClient.builder(chatModel) .defaultSystem("Default system text.") - .defaultAdvisors(mockAroundAdvisor) + .defaultAdvisors(mockAroundAdvisor1) .build(); var content = chatClient.prompt() .user("my name is John") + .advisors(mockAroundAdvisor2) .advisors(a -> a.param("key1", "value1").params(Map.of("key2", "value2"))) .call() .content(); @@ -137,17 +154,24 @@ public void callAdvisorsContextPropagation() { assertThat(content).isEqualTo("Hello John"); // AROUND - assertThat(mockAroundAdvisor.advisedResponse.response()).isNotNull(); - assertThat(mockAroundAdvisor.advisedResponse.adviseContext()).containsEntry("key1", "value1") + assertThat(mockAroundAdvisor1.advisedResponse.response()).isNotNull(); + assertThat(mockAroundAdvisor1.advisedResponse.adviseContext()).containsEntry("key1", "value1") .containsEntry("key2", "value2") - .containsEntry("aroundCallBefore", "AROUND_CALL_BEFORE") - .containsEntry("aroundCallAfter", "AROUND_CALL_AFTER"); + .containsEntry("aroundCallBeforeAdvisor1", "AROUND_CALL_BEFORE Advisor1") + .containsEntry("aroundCallAfterAdvisor1", "AROUND_CALL_AFTER Advisor1") + .containsEntry("aroundCallBeforeAdvisor2", "AROUND_CALL_BEFORE Advisor2") + .containsEntry("aroundCallAfterAdvisor2", "AROUND_CALL_AFTER Advisor2") + .containsEntry("lastBefore", "Advisor2") // inner + .containsEntry("lastAfter", "Advisor1"); // outer + + verify(chatModel).call(promptCaptor.capture()); } @Test public void streamAdvisorsContextPropagation() { - var mockAroundAdvisor = new MockAroundAdvisor(); + var mockAroundAdvisor1 = new MockAroundAdvisor("Advisor1", 0); + var mockAroundAdvisor2 = new MockAroundAdvisor("Advisor2", 1); when(chatModel.stream(promptCaptor.capture())) .thenReturn(Flux.just(new ChatResponse(List.of(new Generation(new AssistantMessage("Hello")))), @@ -155,12 +179,13 @@ public void streamAdvisorsContextPropagation() { var chatClient = ChatClient.builder(chatModel) .defaultSystem("Default system text.") - .defaultAdvisors(mockAroundAdvisor) + .defaultAdvisors(mockAroundAdvisor1) .build(); var content = chatClient.prompt() .user("my name is John") .advisors(a -> a.param("key1", "value1").params(Map.of("key2", "value2"))) + .advisors(mockAroundAdvisor2) .stream() .content() .collectList() @@ -171,14 +196,20 @@ public void streamAdvisorsContextPropagation() { assertThat(content).isEqualTo("Hello John"); // AROUND - assertThat(mockAroundAdvisor.aroundAdvisedResponses).isNotEmpty(); + assertThat(mockAroundAdvisor1.aroundAdvisedResponses).isNotEmpty(); - mockAroundAdvisor.aroundAdvisedResponses.stream().forEach(advisedResponse -> { + mockAroundAdvisor1.aroundAdvisedResponses.stream().forEach(advisedResponse -> { assertThat(advisedResponse.adviseContext()).containsEntry("key1", "value1") .containsEntry("key2", "value2") - .containsEntry("aroundStreamBefore", "AROUND_STREAM_BEFORE") - .containsEntry("aroundStreamAfter", "AROUND_STREAM_AFTER"); + .containsEntry("aroundStreamBeforeAdvisor1", "AROUND_STREAM_BEFORE Advisor1") + .containsEntry("aroundStreamAfterAdvisor1", "AROUND_STREAM_AFTER Advisor1") + .containsEntry("aroundStreamBeforeAdvisor2", "AROUND_STREAM_BEFORE Advisor2") + .containsEntry("aroundStreamAfterAdvisor2", "AROUND_STREAM_AFTER Advisor2") + .containsEntry("lastBefore", "Advisor2") // inner + .containsEntry("lastAfter", "Advisor1"); // outer }); + + verify(chatModel).stream(promptCaptor.capture()); } } From 48e879f5ec3a09c3f96b17291ffe8102b32cd15a Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Fri, 27 Sep 2024 22:20:26 +0200 Subject: [PATCH 06/24] Fix the protectFromBlocking model --- .../ai/chat/client/DefaultChatClient.java | 1 + .../advisor/VectorStoreChatMemoryAdvisor.java | 17 +++++++++-------- ...ltChatClientObservationConventionTests.java | 3 ++- .../PgVectorStoreWithChatMemoryAdvisorIT.java | 18 +++++++++--------- 4 files changed, 21 insertions(+), 18 deletions(-) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java index c378b27b1e9..8d9a82104f8 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java @@ -76,6 +76,7 @@ * @author Josh Long * @author Arjen Poutsma * @author Soby Chacko + * @author Dariusz Jedrzejczyk * @since 1.0.0 */ public class DefaultChatClient implements ChatClient { diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java index d6ba342f685..e9f67ccad84 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java @@ -43,7 +43,7 @@ * Memory is retrieved from a VectorStore added into the prompt's system text. * * @author Christian Tzolov - * @since 1.0.0 M1 + * @since 1.0.0 */ public class VectorStoreChatMemoryAdvisor extends AbstractChatMemoryAdvisor { @@ -104,13 +104,14 @@ public Flux aroundStream(AdvisedRequest advisedRequest, StreamA // This can be executed by both blocking and non-blocking Threads // E.g. a command line or Tomcat blocking Thread implementation // or by a WebFlux dispatch in a non-blocking manner. - if (protectFromBlocking) { - advisedRequest = this.before(advisedRequest); - } - - Mono mono = Mono.just(advisedRequest).publishOn(Schedulers.boundedElastic()).map(this::before); - - Flux advisedResponses = mono.flatMapMany(request -> chain.nextAroundStream(request)); + Flux advisedResponses = (this.protectFromBlocking) ? + // @formatter:off + Mono.just(advisedRequest) + .publishOn(Schedulers.boundedElastic()) + .map(this::before) + .flatMapMany(request -> chain.nextAroundStream(request)) + : chain.nextAroundStream(this.before(advisedRequest)); + // @formatter:on // The observeAfter will certainly be executed on non-blocking Threads in case // of some models - e.g. when the model client is a WebClient diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java index 5a2c9997fb5..0f36c2c9782 100644 --- a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java +++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/observation/DefaultChatClientObservationConventionTests.java @@ -153,7 +153,8 @@ void shouldHaveOptionalKeyValues() { ChatClientObservationContext observationContext = new ChatClientObservationContext(request, "json", true); assertThat(this.observationConvention.getHighCardinalityKeyValues(observationContext)).contains( - KeyValue.of(HighCardinalityKeyNames.CHAT_CLIENT_ADVISORS.asString(), "[\"advisor1\",\"advisor2\"]"), + KeyValue.of(HighCardinalityKeyNames.CHAT_CLIENT_ADVISORS.asString(), + "[\"advisor1\",\"advisor2\",\"CallAroundAdvisor\",\"StreamAroundAdvisor\"]"), KeyValue.of(HighCardinalityKeyNames.CHAT_CLIENT_ADVISOR_PARAMS.asString(), "[\"advParam1\":\"advisorParam1Value\"]"), KeyValue.of(HighCardinalityKeyNames.CHAT_CLIENT_TOOL_FUNCTION_NAMES.asString(), diff --git a/vector-stores/spring-ai-pgvector-store/src/test/java/org/springframework/ai/vectorstore/PgVectorStoreWithChatMemoryAdvisorIT.java b/vector-stores/spring-ai-pgvector-store/src/test/java/org/springframework/ai/vectorstore/PgVectorStoreWithChatMemoryAdvisorIT.java index d37962d428d..341b1dd5480 100644 --- a/vector-stores/spring-ai-pgvector-store/src/test/java/org/springframework/ai/vectorstore/PgVectorStoreWithChatMemoryAdvisorIT.java +++ b/vector-stores/spring-ai-pgvector-store/src/test/java/org/springframework/ai/vectorstore/PgVectorStoreWithChatMemoryAdvisorIT.java @@ -16,15 +16,21 @@ package org.springframework.ai.vectorstore; +import static org.assertj.core.api.Assertions.assertThat; +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.verify; +import static org.mockito.Mockito.when; + +import java.util.List; +import java.util.Map; + import org.jetbrains.annotations.NotNull; -import org.junit.jupiter.api.Assertions; import org.junit.jupiter.api.DisplayName; import org.junit.jupiter.api.Test; import org.mockito.ArgumentCaptor; import org.mockito.ArgumentMatchers; import org.mockito.Mockito; -import org.mockito.invocation.InvocationOnMock; -import org.mockito.stubbing.Answer; import org.postgresql.ds.PGSimpleDataSource; import org.springframework.ai.chat.client.ChatClient; import org.springframework.ai.chat.client.advisor.VectorStoreChatMemoryAdvisor; @@ -41,12 +47,6 @@ import org.testcontainers.junit.jupiter.Container; import org.testcontainers.junit.jupiter.Testcontainers; -import java.util.List; -import java.util.Map; - -import static org.assertj.core.api.Assertions.assertThat; -import static org.mockito.Mockito.*; - /** * @author Fabian Krüger * @author Soby Chacko From 8774c8b19ae01ad3e942cd132046eb932a9f6c5f Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sat, 28 Sep 2024 08:41:34 +0200 Subject: [PATCH 07/24] Generalize the Protect From Blocking functionality accross all advisors --- .../advisor/AbstractChatMemoryAdvisor.java | 32 ++++++- .../advisor/MessageChatMemoryAdvisor.java | 7 +- .../advisor/PromptChatMemoryAdvisor.java | 7 +- .../client/advisor/QuestionAnswerAdvisor.java | 95 ++++++++++++++++++- .../advisor/VectorStoreChatMemoryAdvisor.java | 19 +--- 5 files changed, 130 insertions(+), 30 deletions(-) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java index 43278c7c984..d265515b873 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java @@ -17,12 +17,20 @@ package org.springframework.ai.chat.client.advisor; import java.util.Map; +import java.util.function.Function; +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; import org.springframework.core.Ordered; import org.springframework.util.Assert; +import reactor.core.publisher.Flux; +import reactor.core.publisher.Mono; +import reactor.core.scheduler.Schedulers; + /** * Abstract class that serves as a base for chat memory advisors. * @@ -46,11 +54,14 @@ public abstract class AbstractChatMemoryAdvisor implements CallAroundAdvisor, protected final int defaultChatMemoryRetrieveSize; + private final boolean protectFromBlocking; + public AbstractChatMemoryAdvisor(T chatMemory) { - this(chatMemory, DEFAULT_CHAT_MEMORY_CONVERSATION_ID, DEFAULT_CHAT_MEMORY_RESPONSE_SIZE); + this(chatMemory, DEFAULT_CHAT_MEMORY_CONVERSATION_ID, DEFAULT_CHAT_MEMORY_RESPONSE_SIZE, true); } - public AbstractChatMemoryAdvisor(T chatMemory, String defaultConversationId, int defaultChatMemoryRetrieveSize) { + public AbstractChatMemoryAdvisor(T chatMemory, String defaultConversationId, int defaultChatMemoryRetrieveSize, + boolean protectFromBlocking) { Assert.notNull(chatMemory, "The chatMemory must not be null!"); Assert.hasText(defaultConversationId, "The conversationId must not be empty!"); @@ -59,6 +70,7 @@ public AbstractChatMemoryAdvisor(T chatMemory, String defaultConversationId, int this.chatMemoryStore = chatMemory; this.defaultConversationId = defaultConversationId; this.defaultChatMemoryRetrieveSize = defaultChatMemoryRetrieveSize; + this.protectFromBlocking = protectFromBlocking; } @Override @@ -90,4 +102,20 @@ protected int doGetChatMemoryRetrieveSize(Map context) { : this.defaultChatMemoryRetrieveSize; } + protected Flux doNextWithProtectFromBlockingBefore(AdvisedRequest advisedRequest, + StreamAroundAdvisorChain chain, Function beforeAdvise) { + + // This can be executed by both blocking and non-blocking Threads + // E.g. a command line or Tomcat blocking Thread implementation + // or by a WebFlux dispatch in a non-blocking manner. + return (this.protectFromBlocking) ? + // @formatter:off + Mono.just(advisedRequest) + .publishOn(Schedulers.boundedElastic()) + .map(beforeAdvise) + .flatMapMany(request -> chain.nextAroundStream(request)) + : chain.nextAroundStream(beforeAdvise.apply(advisedRequest)); + } + + } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java index 3e12c646480..66d4ee34755 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/MessageChatMemoryAdvisor.java @@ -43,7 +43,7 @@ public MessageChatMemoryAdvisor(ChatMemory chatMemory) { } public MessageChatMemoryAdvisor(ChatMemory chatMemory, String defaultConversationId, int chatHistoryWindowSize) { - super(chatMemory, defaultConversationId, chatHistoryWindowSize); + super(chatMemory, defaultConversationId, chatHistoryWindowSize, true); } @Override @@ -61,9 +61,8 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvis @Override public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { - advisedRequest = this.before(advisedRequest); - - Flux advisedResponses = chain.nextAroundStream(advisedRequest); + Flux advisedResponses = this.doNextWithProtectFromBlockingBefore(advisedRequest, chain, + this::before); return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java index 4c620b26ebf..961bca0f32b 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/PromptChatMemoryAdvisor.java @@ -66,7 +66,7 @@ public PromptChatMemoryAdvisor(ChatMemory chatMemory, String systemTextAdvise) { public PromptChatMemoryAdvisor(ChatMemory chatMemory, String defaultConversationId, int chatHistoryWindowSize, String systemTextAdvise) { - super(chatMemory, defaultConversationId, chatHistoryWindowSize); + super(chatMemory, defaultConversationId, chatHistoryWindowSize, true); this.systemTextAdvise = systemTextAdvise; } @@ -85,9 +85,8 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvis @Override public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { - advisedRequest = this.before(advisedRequest); - - Flux advisedResponses = chain.nextAroundStream(advisedRequest); + Flux advisedResponses = this.doNextWithProtectFromBlockingBefore(advisedRequest, chain, + this::before); return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, this::observeAfter); } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java index 4aca349a27d..c00f8e0bfb9 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/QuestionAnswerAdvisor.java @@ -39,6 +39,8 @@ import org.springframework.util.StringUtils; import reactor.core.publisher.Flux; +import reactor.core.publisher.Mono; +import reactor.core.scheduler.Schedulers; /** * Context for the question is retrieved from a Vector Store and added to the prompt's @@ -69,10 +71,24 @@ public class QuestionAnswerAdvisor implements CallAroundAdvisor, StreamAroundAdv public static final String FILTER_EXPRESSION = "qa_filter_expression"; + private final boolean protectFromBlocking; + + /** + * The QuestionAnswerAdvisor retrieves context information from a Vector Store and + * combines it with the user's text. + * @param vectorStore The vector store to use + */ public QuestionAnswerAdvisor(VectorStore vectorStore) { this(vectorStore, SearchRequest.defaults(), DEFAULT_USER_TEXT_ADVISE); } + /** + * The QuestionAnswerAdvisor retrieves context information from a Vector Store and + * combines it with the user's text. + * @param vectorStore The vector store to use + * @param searchRequest The search request defined using the portable filter + * expression syntax + */ public QuestionAnswerAdvisor(VectorStore vectorStore, SearchRequest searchRequest) { this(vectorStore, searchRequest, DEFAULT_USER_TEXT_ADVISE); } @@ -85,9 +101,26 @@ public QuestionAnswerAdvisor(VectorStore vectorStore, SearchRequest searchReques * expression syntax * @param userTextAdvise the user text to append to the existing user prompt. The text * should contain a placeholder named "question_answer_context". - * */ public QuestionAnswerAdvisor(VectorStore vectorStore, SearchRequest searchRequest, String userTextAdvise) { + this(vectorStore, searchRequest, userTextAdvise, true); + } + + /** + * The QuestionAnswerAdvisor retrieves context information from a Vector Store and + * combines it with the user's text. + * @param vectorStore The vector store to use + * @param searchRequest The search request defined using the portable filter + * expression syntax + * @param userTextAdvise the user text to append to the existing user prompt. The text + * should contain a placeholder named "question_answer_context". + * @param protectFromBlocking if true the advisor will protect the execution from + * blocking threads. If false the advisor will not protect the execution from blocking + * threads. This is useful when the advisor is used in a non-blocking environment. It + * is true by default. + */ + public QuestionAnswerAdvisor(VectorStore vectorStore, SearchRequest searchRequest, String userTextAdvise, + boolean protectFromBlocking) { Assert.notNull(vectorStore, "The vectorStore must not be null!"); Assert.notNull(searchRequest, "The searchRequest must not be null!"); @@ -96,6 +129,7 @@ public QuestionAnswerAdvisor(VectorStore vectorStore, SearchRequest searchReques this.vectorStore = vectorStore; this.searchRequest = searchRequest; this.userTextAdvise = userTextAdvise; + this.protectFromBlocking = protectFromBlocking; } @Override @@ -121,9 +155,19 @@ public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvis @Override public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { - advisedRequest = before(advisedRequest); - - return chain.nextAroundStream(advisedRequest).map(ar -> { + // This can be executed by both blocking and non-blocking Threads + // E.g. a command line or Tomcat blocking Thread implementation + // or by a WebFlux dispatch in a non-blocking manner. + Flux advisedResponses = (this.protectFromBlocking) ? + // @formatter:off + Mono.just(advisedRequest) + .publishOn(Schedulers.boundedElastic()) + .map(this::before) + .flatMapMany(request -> chain.nextAroundStream(request)) + : chain.nextAroundStream(before(advisedRequest)); + // @formatter:on + + return advisedResponses.map(ar -> { if (onFinishReason().test(ar)) { ar = after(ar); } @@ -191,4 +235,47 @@ private Predicate onFinishReason() { .isPresent(); } + public static Builder builder(VectorStore vectorStore) { + return new Builder(vectorStore); + } + + public static class Builder { + + private final VectorStore vectorStore; + + private SearchRequest searchRequest = SearchRequest.defaults(); + + private String userTextAdvise = DEFAULT_USER_TEXT_ADVISE; + + private boolean protectFromBlocking = true; + + private Builder(VectorStore vectorStore) { + Assert.notNull(vectorStore, "The vectorStore must not be null!"); + this.vectorStore = vectorStore; + } + + public Builder withSearchRequest(SearchRequest searchRequest) { + Assert.notNull(searchRequest, "The searchRequest must not be null!"); + this.searchRequest = searchRequest; + return this; + } + + public Builder withUserTextAdvise(String userTextAdvise) { + Assert.hasText(userTextAdvise, "The userTextAdvise must not be empty!"); + this.userTextAdvise = userTextAdvise; + return this; + } + + public Builder withProtectFromBlocking(boolean protectFromBlocking) { + this.protectFromBlocking = protectFromBlocking; + return this; + } + + public QuestionAnswerAdvisor build() { + return new QuestionAnswerAdvisor(this.vectorStore, this.searchRequest, this.userTextAdvise, + this.protectFromBlocking); + } + + } + } \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java index e9f67ccad84..b6ab9439877 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/VectorStoreChatMemoryAdvisor.java @@ -36,8 +36,6 @@ import org.springframework.ai.vectorstore.VectorStore; import reactor.core.publisher.Flux; -import reactor.core.publisher.Mono; -import reactor.core.scheduler.Schedulers; /** * Memory is retrieved from a VectorStore added into the prompt's system text. @@ -64,8 +62,6 @@ public class VectorStoreChatMemoryAdvisor extends AbstractChatMemoryAdvisor aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { - // This can be executed by both blocking and non-blocking Threads - // E.g. a command line or Tomcat blocking Thread implementation - // or by a WebFlux dispatch in a non-blocking manner. - Flux advisedResponses = (this.protectFromBlocking) ? - // @formatter:off - Mono.just(advisedRequest) - .publishOn(Schedulers.boundedElastic()) - .map(this::before) - .flatMapMany(request -> chain.nextAroundStream(request)) - : chain.nextAroundStream(this.before(advisedRequest)); - // @formatter:on + Flux advisedResponses = this.doNextWithProtectFromBlockingBefore(advisedRequest, chain, + this::before); // The observeAfter will certainly be executed on non-blocking Threads in case // of some models - e.g. when the model client is a WebClient From 269ffa355a1a01c696aa0600733e76167bb32ebd Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sat, 28 Sep 2024 11:32:31 +0200 Subject: [PATCH 08/24] Add Advisors documentation --- .../ROOT/images/advisors-api-classes.jpg | Bin 0 -> 481099 bytes .../modules/ROOT/images/advisors-flow.jpg | Bin 0 -> 364704 bytes .../images/advisors-non-stream-vs-stream.jpg | Bin 0 -> 435499 bytes .../src/main/antora/modules/ROOT/nav.adoc | 1 + 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a/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc index 873cce6f444..9808ef4e898 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc @@ -90,6 +90,7 @@ *** xref:api/vectordbs/weaviate.adoc[] +** xref:api/advisors.adoc[Advisors] ** xref:api/functions.adoc[Function Calling] ** xref:api/multimodality.adoc[Multimodality] ** xref:api/prompt.adoc[] diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc new file mode 100644 index 00000000000..abd63c4f564 --- /dev/null +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -0,0 +1,149 @@ +[[Advisors]] + += Spring AI Advisors API + +== Overview + +The Spring AI Advisors API introduces a powerful component called `AroundAdvisor`. +This component dynamically intercepts chat-completion requests and responses, allowing for transformation or utilization of information within these interactions. + +The Advisors are important for a number of reasons: + + - Encapsulation of Recurring Tasks: AroundAdvisors enable the packaging of common GenAI patterns into reusable units. + - Response Transformation: They facilitate the augmentation of data sent to Language Models (LLMs) and formatting of responses sent back to clients. + - Portability: As part of the Spring AI core specification, developers can create reusable transformation components that work across various models and use cases. + +The xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API] provides a simple way to configure and use advisors. For example you can enable the built-in chat-memory and question-answer advisors like this: + +[source,java] +---- +ChatClient.builder(chatModel) + .build() + .prompt() + .advisors( + new ChatMemoryAdvisor(chatMemory), + new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()) + ) + .user(userText) + .call(); +---- + +One cane use some of the Spring AI built-in advisors or implement custom advisors to meet your specific requirements. + +We'll outline the Advisors API, and describe how to implement customized advisors. +Spring AI support adviser for streaming and non-streaming workloads. + +== Core Components + +The Advisor API is defined in the `org.springframework.ai.chat.client.advisor.api` package by the pair of `CallAroundAdvisor` and `CallAroundAdvisorChain` interfaces and the corresponding `StreamAroundAdvisor` and `StreamAroundAdvisorChain` pair for the streaming responses. + +image::advisors-api-classes.jpg[Advisors API Classes, width=400, align="center"] + +=== AdvisedRequest and AdvisedResponse + +* `AdvisedRequest`: Represents the unsealed Prompt request. +* `AdvisedResponse`: Represents the Chat Completion response. +* Both contain an `AdviserContext` object for sharing state across the advisor chain. + +=== Advisor Interfaces + +. For non-streaming workloads: +** `CallAroundAdvisor` +** `CallAroundAdvisorChain` + +. For streaming workloads: +** `StreamAroundAdvisor` +** `StreamAroundAdvisorChain` + +==== Key Methods + +. `nextAroundCall()` / `nextAroundStream()`: The core of the advisor logic, typically performing these actions: +** Examining the unsealed Prompt data +** Customizing and augmenting the Prompt data +** Invoking the next entity in the advisor chain +** Optionally blocking the request +** Examining the chat completion response +** Throwing exceptions to indicate processing errors + +. `getOrder()`: Determines the advisor's priority in the chain. +. `getName()`: Provides a unique identifier for the advisor. + +=== Advisor Chain + +The advisor chain, provided by the Spring AI client, allows for the sequential invocation of multiple advisors. This chain is represented by `CallAroundAdvisorChain` for non-streaming and `StreamAroundAdvisorChain` for streaming scenarios. + +=== Usage Flow + +image::advisors-flow.jpg[Advisors API Flow, width=400, align="left"] + +. The Spring AI framework creates an `AdvisedRequest` from user's `Prompt` along with an empty `AdvisorContext` object. +. Each advisor in the chain processes the request, potentially modifying it. Alternatively, it can choose to block the request by not making the call to invoke the next entity. In the latter case, the advisor is responsible for filling out the response. +. The final advisor, provided by the framework, sends the request to the `Chat Model`. +. The Chat Model's response is then passed back through the advisor chain and converted into `AdvisedResponse`. Later includes the shared `AdvisorContext` instance. +. Each advisor can process or modify the response. +. The final `AdvisedResponse` is returned to the client by extracting the `ChatCompletion`. + +== Implementing an Advisor + +To create an advisor, implement either `CallAroundAdvisor` or `StreamAroundAdvisor` (or both). The key method to implement is `nextAroundCall()` for non-streaming or `nextAroundStream()` for streaming advisors. + +=== Logging Advisor Example + +[source,java] +---- +public class SimpleLoggerAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { + + private static final Logger logger = LoggerFactory.getLogger(SimpleLoggerAdvisor.class); + + @Override + public String getName() { + return this.getClass().getSimpleName(); + } + + @Override + public int getOrder() { + return 0; + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { + + logger.debug("BEFORE: {}", advisedRequest); + + AdvisedResponse advisedResponse = chain.nextAroundCall(advisedRequest); + + logger.debug("AFTER: {}", advisedResponse); + + return advisedResponse; + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { + + logger.debug("BEFORE: {}", advisedRequest); + + Flux advisedResponses = chain.nextAroundStream(advisedRequest); + + return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, + advisedResponse -> logger.debug("AFTER: {}", advisedResponse)); + } +} +---- + +== Streaming vs Non-Streaming + +image::advisors-non-stream-vs-stream.jpg[Advisors Streaming vs Non-Streaming Flow, width=800, align="left"] + +* Non-streaming advisors work with complete requests and responses. +* Streaming advisors handle requests and responses as continuous streams, using reactive programming concepts (e.g., Flux for responses). + +== Best Practices + +. Keep advisors focused on specific tasks for better modularity. +. Use the `adviseContext` to share state between advisors when necessary. +. Implement both streaming and non-streaming versions of your advisor for maximum flexibility. +. Carefully consider the order of advisors in your chain to ensure proper data flow. + +== Conclusion + +The Spring AI Advisors API provides a flexible and powerful way to intercept, modify, and enhance AI-driven interactions in your Spring applications. 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a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index abd63c4f564..79dc476bfd8 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -2,15 +2,13 @@ = Spring AI Advisors API -== Overview - The Spring AI Advisors API introduces a powerful component called `AroundAdvisor`. This component dynamically intercepts chat-completion requests and responses, allowing for transformation or utilization of information within these interactions. The Advisors are important for a number of reasons: - Encapsulation of Recurring Tasks: AroundAdvisors enable the packaging of common GenAI patterns into reusable units. - - Response Transformation: They facilitate the augmentation of data sent to Language Models (LLMs) and formatting of responses sent back to clients. + - Transformation: They facilitate the augmentation of data sent to Language Models (LLMs) and formatting of responses sent back to clients. - Portability: As part of the Spring AI core specification, developers can create reusable transformation components that work across various models and use cases. The xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API] provides a simple way to configure and use advisors. For example you can enable the built-in chat-memory and question-answer advisors like this: @@ -18,61 +16,48 @@ The xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API [source,java] ---- ChatClient.builder(chatModel) - .build() - .prompt() - .advisors( + // Enable the built-in chat-memory and question-answer (RAG) advisors at build time. + .defaultAdvisors( new ChatMemoryAdvisor(chatMemory), new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()) ) + .build() + .prompt() + // At runtime, assign a conversation ID and size to the ChatMemoryAdvisor. + .advisors(advisor -> advisor.param("chat_memory_conversation_id", "678") + .param("chat_memory_response_size", 100)) .user(userText) .call(); ---- -One cane use some of the Spring AI built-in advisors or implement custom advisors to meet your specific requirements. - -We'll outline the Advisors API, and describe how to implement customized advisors. -Spring AI support adviser for streaming and non-streaming workloads. +The ChatClient API allows configuring advisors at build time and at runtime as well as providing parameters to the advisors. +You can use some of the provided advisors or implement custom such to meet your specific requirements. == Core Components The Advisor API is defined in the `org.springframework.ai.chat.client.advisor.api` package by the pair of `CallAroundAdvisor` and `CallAroundAdvisorChain` interfaces and the corresponding `StreamAroundAdvisor` and `StreamAroundAdvisorChain` pair for the streaming responses. -image::advisors-api-classes.jpg[Advisors API Classes, width=400, align="center"] - -=== AdvisedRequest and AdvisedResponse - -* `AdvisedRequest`: Represents the unsealed Prompt request. -* `AdvisedResponse`: Represents the Chat Completion response. -* Both contain an `AdviserContext` object for sharing state across the advisor chain. - -=== Advisor Interfaces - -. For non-streaming workloads: -** `CallAroundAdvisor` -** `CallAroundAdvisorChain` +image::advisors-api-classes.jpg[Advisors API Classes, width=600, align="center"] -. For streaming workloads: -** `StreamAroundAdvisor` -** `StreamAroundAdvisorChain` +The `AdvisedRequest` represents the unsealed Prompt request, while the `AdvisedResponse` represents the Chat Completion response. +Both contain an `AdviserContext` object for sharing state across the advisor chain. -==== Key Methods +The `nextAroundCall()` and the `nextAroundStream()` are key advisor methods, typically performing these actions: -. `nextAroundCall()` / `nextAroundStream()`: The core of the advisor logic, typically performing these actions: -** Examining the unsealed Prompt data -** Customizing and augmenting the Prompt data -** Invoking the next entity in the advisor chain -** Optionally blocking the request -** Examining the chat completion response -** Throwing exceptions to indicate processing errors +* Examining the unsealed Prompt data +* Customizing and augmenting the Prompt data +* Invoking the next entity in the advisor chain +* Optionally blocking the request +* Examining the chat completion response +* Throwing exceptions to indicate processing errors -. `getOrder()`: Determines the advisor's priority in the chain. -. `getName()`: Provides a unique identifier for the advisor. +In addition the `getOrder()` method determines the advisor's priority in the chain and the `getName()` method provides a unique identifier for the advisor. -=== Advisor Chain +The `Advisor Chain`, created and provided by the Spring AI framework, allows for the sequential invocation of multiple advisors. +This chain is represented by `CallAroundAdvisorChain` for non-streaming and `StreamAroundAdvisorChain` for streaming scenarios. +You add advisors to the chain using the The xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API]. -The advisor chain, provided by the Spring AI client, allows for the sequential invocation of multiple advisors. This chain is represented by `CallAroundAdvisorChain` for non-streaming and `StreamAroundAdvisorChain` for streaming scenarios. - -=== Usage Flow +Following usage flow diagram illustrates the interaction between the advisor chain and the Chat Model: image::advisors-flow.jpg[Advisors API Flow, width=400, align="left"] @@ -130,20 +115,40 @@ public class SimpleLoggerAdvisor implements CallAroundAdvisor, StreamAroundAdvis } ---- -== Streaming vs Non-Streaming +=== Streaming vs Non-Streaming image::advisors-non-stream-vs-stream.jpg[Advisors Streaming vs Non-Streaming Flow, width=800, align="left"] * Non-streaming advisors work with complete requests and responses. * Streaming advisors handle requests and responses as continuous streams, using reactive programming concepts (e.g., Flux for responses). -== Best Practices + +// TODO - Add a section on how to implement a streaming advisor with blocking and non-blocking code. + +[source,java] +---- +@Override +public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { + + return Mono.just(advisedRequest) + .publishOn(Schedulers.boundedElastic()) + .map(request -> { + // This can be executed by blocking and non-blocking Threads. + // Advisor before next section + }) + .flatMapMany(request -> chain.nextAroundStream(request)) + .map(response -> { + // Advisor after next section + }); +} +---- + + +=== Best Practices . Keep advisors focused on specific tasks for better modularity. . Use the `adviseContext` to share state between advisors when necessary. . Implement both streaming and non-streaming versions of your advisor for maximum flexibility. . Carefully consider the order of advisors in your chain to ensure proper data flow. -== Conclusion - The Spring AI Advisors API provides a flexible and powerful way to intercept, modify, and enhance AI-driven interactions in your Spring applications. By leveraging this API, developers can create more sophisticated, reusable, and maintainable AI components. \ No newline at end of file From 62eb7ebab6fe39f22ee0f30fee337453b96f7c2b Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sat, 28 Sep 2024 13:59:40 +0200 Subject: [PATCH 10/24] Another round of adviser doc improvments --- .../modules/ROOT/pages/api/advisors.adoc | 24 ++++++++++++------- 1 file changed, 16 insertions(+), 8 deletions(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index 79dc476bfd8..779e2a1c8f4 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -1,6 +1,6 @@ [[Advisors]] -= Spring AI Advisors API += Advisors API The Spring AI Advisors API introduces a powerful component called `AroundAdvisor`. This component dynamically intercepts chat-completion requests and responses, allowing for transformation or utilization of information within these interactions. @@ -42,14 +42,14 @@ image::advisors-api-classes.jpg[Advisors API Classes, width=600, align="center"] The `AdvisedRequest` represents the unsealed Prompt request, while the `AdvisedResponse` represents the Chat Completion response. Both contain an `AdviserContext` object for sharing state across the advisor chain. -The `nextAroundCall()` and the `nextAroundStream()` are key advisor methods, typically performing these actions: +The `nextAroundCall()` and the `nextAroundStream()` are the key advisor methods, typically performing actions like: -* Examining the unsealed Prompt data -* Customizing and augmenting the Prompt data -* Invoking the next entity in the advisor chain -* Optionally blocking the request -* Examining the chat completion response -* Throwing exceptions to indicate processing errors +- Examining the unsealed Prompt data +- Customizing and augmenting the Prompt data +- Invoking the next entity in the advisor chain +- Optionally blocking the request +- Examining the chat completion response +- Throwing exceptions to indicate processing errors In addition the `getOrder()` method determines the advisor's priority in the chain and the `getName()` method provides a unique identifier for the advisor. @@ -143,6 +143,14 @@ public Flux aroundStream(AdvisedRequest advisedRequest, StreamA } ---- +=== Advisor Order + +The order of advisors in the chain is determined by the `getOrder()` method. Advisors with lower order values are executed first. +Because the advisor chain is a stack, the first advisor in the chain is the last to process the request and the first to process the response. +If you want to ensure that an advisor is executed last, set its order to `Integer.MAX_VALUE - 1` and vice versa. +If you have multiple advisors with the same order value, the order of execution is not guaranteed. + +For use case that needs to be first in the chain on the input side and first on the output side, you have to use separate advisors for each side and use teh advisor context to share state between them. === Best Practices From 71f6462165b82ca54215ff0e45b30b49c10cbfdf Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sat, 28 Sep 2024 19:34:01 +0200 Subject: [PATCH 11/24] additional advisor doc improvements --- ...oundAdvisor.java => SafeGuardAdvisor.java} | 4 +- .../modules/ROOT/pages/api/advisors.adoc | 89 +++++++++++++++++-- 2 files changed, 86 insertions(+), 7 deletions(-) rename spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/{SafeGuardAroundAdvisor.java => SafeGuardAdvisor.java} (92%) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAdvisor.java similarity index 92% rename from spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java rename to spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAdvisor.java index 5739dddb66a..093a2892156 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAroundAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAdvisor.java @@ -20,11 +20,11 @@ * @author Christian Tzolov * @since 1.0.0 */ -public class SafeGuardAroundAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { +public class SafeGuardAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { private final List sensitiveWords; - public SafeGuardAroundAdvisor(List sensitiveWords) { + public SafeGuardAdvisor(List sensitiveWords) { this.sensitiveWords = sensitiveWords; } diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index 779e2a1c8f4..15f9faa82be 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -72,7 +72,15 @@ image::advisors-flow.jpg[Advisors API Flow, width=400, align="left"] To create an advisor, implement either `CallAroundAdvisor` or `StreamAroundAdvisor` (or both). The key method to implement is `nextAroundCall()` for non-streaming or `nextAroundStream()` for streaming advisors. -=== Logging Advisor Example +=== Examples + +We will provide few hands-on examples to illustrate how to implement advisors for observing and augmenting use-cases. + +==== Logging Advisor + +We can implement a simple logging advisor that logs the `AdvisedRequest` before and the `AdvisedResponse` after the call to the next advisor in the chain. +Note that the advisor only observes the request and response and does not modify them. +This implementation support both non-streaming and streaming scenarios. [source,java] ---- @@ -81,13 +89,13 @@ public class SimpleLoggerAdvisor implements CallAroundAdvisor, StreamAroundAdvis private static final Logger logger = LoggerFactory.getLogger(SimpleLoggerAdvisor.class); @Override - public String getName() { + public String getName() { // <1> return this.getClass().getSimpleName(); } @Override - public int getOrder() { - return 0; + public int getOrder() { // <2> + return 0; } @Override @@ -110,10 +118,81 @@ public class SimpleLoggerAdvisor implements CallAroundAdvisor, StreamAroundAdvis Flux advisedResponses = chain.nextAroundStream(advisedRequest); return new MessageAggregator().aggregateAdvisedResponse(advisedResponses, - advisedResponse -> logger.debug("AFTER: {}", advisedResponse)); + advisedResponse -> logger.debug("AFTER: {}", advisedResponse)); // <3> } } ---- +<1> Provides a unique name for the advisor. +<2> You can control the order of execution by setting the order value. Lower values execute first. +<3> The `MessageAggregator` is a utility class that aggregates the Flux responses into a single AdvisedResponse. +This can be useful for logging or other processing that observe the entire response rather than individual items in the stream. +Note that you can not alter the response in the `MessageAggregator` as it is a read-only operation. + +==== Re-Reading (Re2) Advisor + +This https://arxiv.org/pdf/2309.06275[Re-Reading Improves Reasoning in Large Language Models] article introduces a technique called Re-Reading (Re2) that improves the reasoning capabilities of large language models. +The Re2 technique requires augmenting the input prompt like this: + +---- +{Input Query} +Read the question again: {Input Query} +---- + +Then an advisor can be implemented to apply this technique to the user's input query. + +[source,java] +---- +public class ReReadingAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { + + private static final String DEFAULT_USER_TEXT_ADVISE = """ + {re2_input_query} + Read the question again: {re2_input_query} + """; + + @Override + public String getName() { + return this.getClass().getSimpleName(); + } + + @Override + public int getOrder() { // <1> + return 0; + } + + private AdvisedRequest before(AdvisedRequest advisedRequest) { + + String inputQuery = advisedRequest.userText(); + + Map advisedUserParams = new HashMap<>(request.userParams()); + advisedUserParams.put("re2_input_query", inputQuery); + + AdvisedRequest advisedRequest = AdvisedRequest.from(advisedRequest) + .withUserText(DEFAULT_USER_TEXT_ADVISE) + .withUserParams(advisedUserParams) + .build(); + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { + + return chain.nextAroundCall(before(advisedRequest)); + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { + + return chain.nextAroundStream(before(advisedRequest)); + } +} +---- +<1> You can control the order of execution by setting the order value. Lower values execute first. + +==== Spring AI built-in Advisors + +You can also explore the built-in advisors provided by the Spring AI framework. +For example the `MessageChatMemoryAdvisor`, `PromptChatMemoryAdvisor` and `VectorStoreChatMemoryAdvisor` advisors provide different strategies the conversation chat history in a chat memory store and the `QuestionAnswerAdvisor` uses a vector store to provide question-answering capabilities (e.g. implements the RAG pattern). + +The `SafeGuardAdvisor` is another, simple, built-in advisor that can be used to prevent the model from generating harmful or inappropriate content. === Streaming vs Non-Streaming From 58d1f309731cda76b127abf5e72580c06919c765 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sun, 29 Sep 2024 09:58:43 +0200 Subject: [PATCH 12/24] Improve advisor ordering - Introduce Advisor constants for precedence ordering - Update AbstractChatMemoryAdvisor to use new precedence constant - Enhance advisors documentation with order explanation and Re2 example - Add (experimental) Re2 advisor to enhance reasoning capabilities of LLMs - Add disabled Re2 test in OpenAiChatClientIT --- .../chat/client/OpenAiChatClientIT.java | 33 +++++++ .../openai/chat/client/ReReadingAdvisor.java | 94 +++++++++++++++++++ .../advisor/AbstractChatMemoryAdvisor.java | 11 ++- .../chat/client/advisor/SafeGuardAdvisor.java | 15 +++ .../ai/chat/client/advisor/api/Advisor.java | 20 ++++ .../modules/ROOT/pages/api/advisors.adoc | 80 ++++++++-------- 6 files changed, 208 insertions(+), 45 deletions(-) create mode 100644 models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/ReReadingAdvisor.java diff --git a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/OpenAiChatClientIT.java b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/OpenAiChatClientIT.java index 3d46d1f6383..5dfaa0be5ba 100644 --- a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/OpenAiChatClientIT.java +++ b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/OpenAiChatClientIT.java @@ -22,6 +22,7 @@ import java.util.Map; import java.util.stream.Collectors; +import org.junit.jupiter.api.Disabled; import org.junit.jupiter.api.Test; import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable; import org.junit.jupiter.params.ParameterizedTest; @@ -64,6 +65,38 @@ class OpenAiChatClientIT extends AbstractIT { record ActorsFilms(String actor, List movies) { } + @Test + @Disabled("Although the Re2 advisor improves the response correctness it is not always guarantied to work.") + void re2() { + // .user(" Could Scooby Doo fit in a Kangaroo Pouch? Choices: (A) Yes (B) No") + // .user("Roger has 5 tennis balls. He buys 2 more cans of tennis " + + // "balls. Each can has 3 tennis balls. How many tennis balls " + + // "does he have now?") + + String REASON_QUESTION = """ + What do these words have in common? + Freight Stone Often Canine. + """; + + // @formatter:off + ChatClient chatClient = ChatClient.builder(chatModel) + .defaultOptions(OpenAiChatOptions.builder() + .withModel(OpenAiApi.ChatModel.GPT_4_O.getValue()).build()) + .defaultUser(REASON_QUESTION) + .build(); + + String response = chatClient.prompt() + .advisors(new ReReadingAdvisor()) + .call() + .content(); + // @formatter:on + + logger.info("" + response); + assertThat(response.toLowerCase().replace("(", " ").replace(")", " ").replace("\"", " ").replace("\"", " ")) + .contains(" eight", " one", " ten", " nine"); + + } + @Test void call() { diff --git a/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/ReReadingAdvisor.java b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/ReReadingAdvisor.java new file mode 100644 index 00000000000..47d3d2af7df --- /dev/null +++ b/models/spring-ai-openai/src/test/java/org/springframework/ai/openai/chat/client/ReReadingAdvisor.java @@ -0,0 +1,94 @@ +/* + * Copyright 2024-2024 the original author or authors. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.springframework.ai.openai.chat.client; + +import java.util.HashMap; +import java.util.Map; + +import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; +import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisorChain; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; +import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; + +import reactor.core.publisher.Flux; + +/** + * Drawing inspiration from the human strategy of re-reading, this advisor implements a + * re-reading strategy for LLM reasoning, dubbed RE2, to enhance understanding in the + * input phase. Based on the article: + * Re-Reading Improves Reasoning in Large + * Language Models + * + * @author Christian Tzolov + * @since 1.0.0 + */ +public class ReReadingAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { + + private static final String DEFAULT_RE2_ADVISE_TEMPLATE = """ + {re2_input_query} + Read the question again: {re2_input_query} + """; + + private final String re2AdviseTemplate; + + private int order = 0; + + public ReReadingAdvisor() { + this(DEFAULT_RE2_ADVISE_TEMPLATE); + } + + public ReReadingAdvisor(String re2AdviseTemplate) { + this.re2AdviseTemplate = re2AdviseTemplate; + } + + public String getName() { + return this.getClass().getSimpleName(); + } + + private AdvisedRequest before(AdvisedRequest advisedRequest) { + + Map advisedUserParams = new HashMap<>(advisedRequest.userParams()); + advisedUserParams.put("re2_input_query", advisedRequest.userText()); + + return AdvisedRequest.from(advisedRequest) + .withUserText(this.re2AdviseTemplate) + .withUserParams(advisedUserParams) + .build(); + } + + @Override + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { + return chain.nextAroundCall(this.before(advisedRequest)); + } + + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { + return chain.nextAroundStream(this.before(advisedRequest)); + } + + @Override + public int getOrder() { + return this.order; + } + + public ReReadingAdvisor withOrder(int order) { + this.order = order; + return this; + } + +} \ No newline at end of file diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java index d265515b873..c9453f034f4 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/AbstractChatMemoryAdvisor.java @@ -21,10 +21,10 @@ import org.springframework.ai.chat.client.advisor.api.AdvisedRequest; import org.springframework.ai.chat.client.advisor.api.AdvisedResponse; +import org.springframework.ai.chat.client.advisor.api.Advisor; import org.springframework.ai.chat.client.advisor.api.CallAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisor; import org.springframework.ai.chat.client.advisor.api.StreamAroundAdvisorChain; -import org.springframework.core.Ordered; import org.springframework.util.Assert; import reactor.core.publisher.Flux; @@ -80,10 +80,11 @@ public String getName() { @Override public int getOrder() { - // ensure it has lower priority (e.g. precedences) than the internal advisors. - // It leaves room (100 slots) for the user to plug in their own advisors with - // higher priority. - return Ordered.HIGHEST_PRECEDENCE + 100; + // The (Ordered.HIGHEST_PRECEDENCE + 1000) value ensures this order has lower + // priority (e.g. precedences) than the internal Spring AI advisors. It leaves + // room (1000 slots) for the user to plug in their own advisors with higher + // priority. + return Advisor.DEFAULT_CHAT_MEMORY_PRECEDENCE_ORDER; } protected T getChatMemoryStore() { diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAdvisor.java index 093a2892156..4871707e47c 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAdvisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/SafeGuardAdvisor.java @@ -1,3 +1,18 @@ +/* + * Copyright 2024-2024 the original author or authors. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * https://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ package org.springframework.ai.chat.client.advisor; import java.util.List; diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java index 43ac6cba50b..a4be691b423 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/Advisor.java @@ -29,6 +29,26 @@ */ public interface Advisor extends Ordered { + /** + * Useful constant for the highest precedence value for ordering advisors. + */ + public static int HIGHEST_PRECEDENCE_ORDER = Ordered.HIGHEST_PRECEDENCE; + + /** + * Useful constant for the lowest precedence value for ordering advisors. Note that + * the values from Ordered.LOWEST_PRECEDENCE to Ordered.LOWEST_PRECEDENCE + 1000 are + * reserved for internal use within the Spring AI framework. + */ + public static int LOWEST_PRECEDENCE_ORDER = Ordered.LOWEST_PRECEDENCE + 1000; + + /** + * Useful constant for the default Chat Memory precedence order. Ensures this order + * has lower priority (e.g. precedences) than the Spring AI internal advisors. It + * leaves room (1000 slots) for the user to plug in their own advisors with higher + * priority. + */ + public static int DEFAULT_CHAT_MEMORY_PRECEDENCE_ORDER = Ordered.HIGHEST_PRECEDENCE + 1000; + /** * @return the advisor name. */ diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index 15f9faa82be..bc7ea601462 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -68,6 +68,16 @@ image::advisors-flow.jpg[Advisors API Flow, width=400, align="left"] . Each advisor can process or modify the response. . The final `AdvisedResponse` is returned to the client by extracting the `ChatCompletion`. +=== Advisor Order + +The order of advisors in the chain is determined by the `getOrder()` method. +Advisors with lower order values are executed first. +Because the advisor chain is a stack, the first advisor in the chain is the last to process the request and the first to process the response. +If you want to ensure that an advisor is executed last, set its order close to the `Advisor.LOWEST_PRECEDENCE_ORDER` value and vice versa to execute first set the order close to the `Advisor.HIGHEST_PRECEDENCE_ORDER` value. +If you have multiple advisors with the same order value, the order of execution is not guaranteed. + +TIP: For use cases that need to be first in the chain on the input side and first on the output side, you have to use separate advisors for each side, configured with different order values and use teh advisor context to share state between them. + == Implementing an Advisor To create an advisor, implement either `CallAroundAdvisor` or `StreamAroundAdvisor` (or both). The key method to implement is `nextAroundCall()` for non-streaming or `nextAroundStream()` for streaming advisors. @@ -130,62 +140,61 @@ Note that you can not alter the response in the `MessageAggregator` as it is a r ==== Re-Reading (Re2) Advisor -This https://arxiv.org/pdf/2309.06275[Re-Reading Improves Reasoning in Large Language Models] article introduces a technique called Re-Reading (Re2) that improves the reasoning capabilities of large language models. +The "https://arxiv.org/pdf/2309.06275[Re-Reading Improves Reasoning in Large Language Models]" article introduces a technique called Re-Reading (Re2) that improves the reasoning capabilities of Large Language Models. The Re2 technique requires augmenting the input prompt like this: ---- -{Input Query} -Read the question again: {Input Query} +{Input_Query} +Read the question again: {Input_Query} ---- -Then an advisor can be implemented to apply this technique to the user's input query. +Implementing an advisor that applies the Re2 technique to the user's input query can be done like this: [source,java] ---- public class ReReadingAdvisor implements CallAroundAdvisor, StreamAroundAdvisor { - private static final String DEFAULT_USER_TEXT_ADVISE = """ - {re2_input_query} - Read the question again: {re2_input_query} - """; - - @Override - public String getName() { - return this.getClass().getSimpleName(); - } - - @Override - public int getOrder() { // <1> - return 0; - } - - private AdvisedRequest before(AdvisedRequest advisedRequest) { - String inputQuery = advisedRequest.userText(); + private AdvisedRequest before(AdvisedRequest advisedRequest) { // <1> - Map advisedUserParams = new HashMap<>(request.userParams()); - advisedUserParams.put("re2_input_query", inputQuery); + Map advisedUserParams = new HashMap<>(advisedRequest.userParams()); + advisedUserParams.put("re2_input_query", advisedRequest.userText()); - AdvisedRequest advisedRequest = AdvisedRequest.from(advisedRequest) - .withUserText(DEFAULT_USER_TEXT_ADVISE) + return AdvisedRequest.from(advisedRequest) + .withUserText(""" + {re2_input_query} + Read the question again: {re2_input_query} + """) .withUserParams(advisedUserParams) .build(); - } + } @Override - public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { + public AdvisedResponse aroundCall(AdvisedRequest advisedRequest, CallAroundAdvisorChain chain) { // <2> + return chain.nextAroundCall(this.before(advisedRequest)); + } - return chain.nextAroundCall(before(advisedRequest)); + @Override + public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { // <3> + return chain.nextAroundStream(this.before(advisedRequest)); } @Override - public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { + public int getOrder() { // <4> + return 0; + } - return chain.nextAroundStream(before(advisedRequest)); + @Override + public String getName() { // <5> + return this.getClass().getSimpleName(); } } ---- -<1> You can control the order of execution by setting the order value. Lower values execute first. +<1> The `before` method augments the user's input query applying the Re-Reading technique. +<2> The `aroundCall` method intercepts the non-streaming request and applies the Re-Reading technique. +<3> The `aroundStream` method intercepts the streaming request and applies the Re-Reading technique. +<4> You can control the order of execution by setting the order value. Lower values execute first. +<5> Provides a unique name for the advisor. ==== Spring AI built-in Advisors @@ -222,15 +231,6 @@ public Flux aroundStream(AdvisedRequest advisedRequest, StreamA } ---- -=== Advisor Order - -The order of advisors in the chain is determined by the `getOrder()` method. Advisors with lower order values are executed first. -Because the advisor chain is a stack, the first advisor in the chain is the last to process the request and the first to process the response. -If you want to ensure that an advisor is executed last, set its order to `Integer.MAX_VALUE - 1` and vice versa. -If you have multiple advisors with the same order value, the order of execution is not guaranteed. - -For use case that needs to be first in the chain on the input side and first on the output side, you have to use separate advisors for each side and use teh advisor context to share state between them. - === Best Practices . Keep advisors focused on specific tasks for better modularity. From b447ad3005e8afa7967ed5f8fc614719cc7e085d Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sun, 29 Sep 2024 13:12:10 +0200 Subject: [PATCH 13/24] strealine docs --- .../modules/ROOT/pages/api/advisors.adoc | 34 +++++-------------- 1 file changed, 8 insertions(+), 26 deletions(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index bc7ea601462..832cdd1aa71 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -5,13 +5,9 @@ The Spring AI Advisors API introduces a powerful component called `AroundAdvisor`. This component dynamically intercepts chat-completion requests and responses, allowing for transformation or utilization of information within these interactions. -The Advisors are important for a number of reasons: +The key benefits include encapsulating recurring GenAI patterns, transforming data sent to and from Language Models (LLMs), and providing portability across various models and use cases. - - Encapsulation of Recurring Tasks: AroundAdvisors enable the packaging of common GenAI patterns into reusable units. - - Transformation: They facilitate the augmentation of data sent to Language Models (LLMs) and formatting of responses sent back to clients. - - Portability: As part of the Spring AI core specification, developers can create reusable transformation components that work across various models and use cases. - -The xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API] provides a simple way to configure and use advisors. For example you can enable the built-in chat-memory and question-answer advisors like this: +You can configure existing advisors using the xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API] as shown in the following example: [source,java] ---- @@ -30,34 +26,20 @@ ChatClient.builder(chatModel) .call(); ---- -The ChatClient API allows configuring advisors at build time and at runtime as well as providing parameters to the advisors. -You can use some of the provided advisors or implement custom such to meet your specific requirements. - == Core Components -The Advisor API is defined in the `org.springframework.ai.chat.client.advisor.api` package by the pair of `CallAroundAdvisor` and `CallAroundAdvisorChain` interfaces and the corresponding `StreamAroundAdvisor` and `StreamAroundAdvisorChain` pair for the streaming responses. +The API consists of `CallAroundAdvisor` and `CallAroundAdvisorChain` for non-streaming scenarios, and `StreamAroundAdvisor` and `StreamAroundAdvisorChain` for streaming scenarios. +It also includes `AdvisedRequest` to represent the unsealed Prompt request, `AdvisedResponse` for the Chat Completion response. Both hold an `advise-context` to share state across the advisor chain. image::advisors-api-classes.jpg[Advisors API Classes, width=600, align="center"] -The `AdvisedRequest` represents the unsealed Prompt request, while the `AdvisedResponse` represents the Chat Completion response. -Both contain an `AdviserContext` object for sharing state across the advisor chain. - -The `nextAroundCall()` and the `nextAroundStream()` are the key advisor methods, typically performing actions like: - -- Examining the unsealed Prompt data -- Customizing and augmenting the Prompt data -- Invoking the next entity in the advisor chain -- Optionally blocking the request -- Examining the chat completion response -- Throwing exceptions to indicate processing errors +The `nextAroundCall()` and the `nextAroundStream()` are the key advisor methods, typically performing actions such as examining the unsealed Prompt data, customizing and augmenting the Prompt data, invoking the next entity in the advisor chain, optionally blocking the request, examining the chat completion response, and throwing exceptions to indicate processing errors. -In addition the `getOrder()` method determines the advisor's priority in the chain and the `getName()` method provides a unique identifier for the advisor. +In addition the `getOrder()` method determines advisor priority in the chain, while `getName()` provides a unique identifier for the advisor. -The `Advisor Chain`, created and provided by the Spring AI framework, allows for the sequential invocation of multiple advisors. -This chain is represented by `CallAroundAdvisorChain` for non-streaming and `StreamAroundAdvisorChain` for streaming scenarios. -You add advisors to the chain using the The xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API]. +The Advisor Chain, created by the Spring AI framework, allows sequential invocation of multiple advisors. It is ordered by `getOrder()` values, with lower values executing first. The last advisor, added automatically, sends the request to the LLM. -Following usage flow diagram illustrates the interaction between the advisor chain and the Chat Model: +Following flow diagram illustrates the interaction between the advisor chain and the Chat Model: image::advisors-flow.jpg[Advisors API Flow, width=400, align="left"] From 3cfa79bd075c9b8634b0657cc00f7c2f6e929e37 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sun, 29 Sep 2024 16:16:56 +0200 Subject: [PATCH 14/24] more doc streamlining --- .../modules/ROOT/pages/api/advisors.adoc | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index 832cdd1aa71..d43895f6757 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -2,10 +2,10 @@ = Advisors API -The Spring AI Advisors API introduces a powerful component called `AroundAdvisor`. -This component dynamically intercepts chat-completion requests and responses, allowing for transformation or utilization of information within these interactions. +The Spring AI Advisors API provides a flexible and powerful way to intercept, modify, and enhance AI-driven interactions in your Spring applications. +By leveraging the Advisors API, developers can create more sophisticated, reusable, and maintainable AI components. -The key benefits include encapsulating recurring GenAI patterns, transforming data sent to and from Language Models (LLMs), and providing portability across various models and use cases. +The key benefits include encapsulating recurring Generative AI patterns, transforming data sent to and from Language Models (LLMs), and providing portability across various models and use cases. You can configure existing advisors using the xref:api/chatclient.adoc#_advisor_configuration_in_chatclient[ChatClient API] as shown in the following example: @@ -35,9 +35,11 @@ image::advisors-api-classes.jpg[Advisors API Classes, width=600, align="center"] The `nextAroundCall()` and the `nextAroundStream()` are the key advisor methods, typically performing actions such as examining the unsealed Prompt data, customizing and augmenting the Prompt data, invoking the next entity in the advisor chain, optionally blocking the request, examining the chat completion response, and throwing exceptions to indicate processing errors. -In addition the `getOrder()` method determines advisor priority in the chain, while `getName()` provides a unique identifier for the advisor. +In addition the `getOrder()` method determines advisor order in the chain, while `getName()` provides a unique advisor name. -The Advisor Chain, created by the Spring AI framework, allows sequential invocation of multiple advisors. It is ordered by `getOrder()` values, with lower values executing first. The last advisor, added automatically, sends the request to the LLM. +The Advisor Chain, created by the Spring AI framework, allows sequential invocation of multiple advisors ordered by their `getOrder()` values. +The lower values are executed first. +The last advisor, added automatically, sends the request to the LLM. Following flow diagram illustrates the interaction between the advisor chain and the Chat Model: @@ -220,4 +222,9 @@ public Flux aroundStream(AdvisedRequest advisedRequest, StreamA . Implement both streaming and non-streaming versions of your advisor for maximum flexibility. . Carefully consider the order of advisors in your chain to ensure proper data flow. -The Spring AI Advisors API provides a flexible and powerful way to intercept, modify, and enhance AI-driven interactions in your Spring applications. By leveraging this API, developers can create more sophisticated, reusable, and maintainable AI components. \ No newline at end of file + +== Backward Compatibility + +NOTE: the `AdvisedRequest` class has been moved to a new package. +While the `RequestResponseAdvisor` interface is still available it is marked as deprecated and will be removed around the M3 release. +It is recommended to use the new `CallAroundAdvisor` and `StreamAroundAdvisor` interfaces for new implementations. 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zVCrD*I-QC!r?x_w)45~y)1THvR@G43cQ$ Date: Sun, 29 Sep 2024 16:41:01 +0200 Subject: [PATCH 17/24] Update chatclinet docs to reflect advisors changes --- .../src/main/antora/modules/ROOT/pages/api/advisors.adoc | 2 +- .../src/main/antora/modules/ROOT/pages/api/chatclient.adoc | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index d43895f6757..606e461d0b4 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -225,6 +225,6 @@ public Flux aroundStream(AdvisedRequest advisedRequest, StreamA == Backward Compatibility -NOTE: the `AdvisedRequest` class has been moved to a new package. +IMPORTANT: The `AdvisedRequest` class is moved to a new package. While the `RequestResponseAdvisor` interface is still available it is marked as deprecated and will be removed around the M3 release. It is recommended to use the new `CallAroundAdvisor` and `StreamAroundAdvisor` interfaces for new implementations. diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc index 9d9c584a759..8813bf3c1de 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc @@ -300,7 +300,7 @@ At the `ChatClient.Builder` level, you can specify the default prompt configurat * `defaultUser(String text)`, `defaultUser(Resource text)`, `defaultUser(Consumer userSpecConsumer)`: These methods let you define the user text. The `Consumer` allows you to use a lambda to specify the user text and any default parameters. -* `defaultAdvisors(RequestResponseAdvisor... advisor)`: Advisors allow modification of the data used to create the `Prompt`. The `QuestionAnswerAdvisor` implementation enables the pattern of `Retrieval Augmented Generation` by appending the prompt with context information related to the user text. +* `defaultAdvisors(Advisor... advisor)`: Advisors allow modification of the data used to create the `Prompt`. The `QuestionAnswerAdvisor` implementation enables the pattern of `Retrieval Augmented Generation` by appending the prompt with context information related to the user text. * `defaultAdvisors(Consumer advisorSpecConsumer)`: This method allows you to define a `Consumer` to configure multiple advisors using the `AdvisorSpec`. Advisors can modify the data used to create the final `Prompt`. The `Consumer` lets you specify a lambda to add advisors, such as `QuestionAnswerAdvisor`, which supports `Retrieval Augmented Generation` by appending the prompt with relevant context information based on the user text. @@ -315,7 +315,7 @@ java.util.function.Function function)` * `user(String text)`, `user(Resource text)`, `user(Consumer userSpecConsumer)` -* `advisors(RequestResponseAdvisor... advisor)` +* `advisors(Advisor... advisor)` * `advisors(Consumer advisorSpecConsumer)` From 4a0886695f8b98e38455f75266c18a0724766685 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sun, 29 Sep 2024 19:38:10 +0200 Subject: [PATCH 18/24] Add corss refference --- .../src/main/antora/modules/ROOT/pages/api/chatclient.adoc | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc index 8813bf3c1de..edc16913fa9 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc @@ -321,6 +321,8 @@ java.util.function.Function function)` == Advisors +The xref:api/advisors.adoc[Advisors API] provides a flexible and powerful way to intercept, modify, and enhance AI-driven interactions in your Spring applications. + A common pattern when calling an AI model with user text is to append or augment the prompt with contextual data. This contextual data can be of different types. Common types include: @@ -361,7 +363,6 @@ ChatClient.builder(chatModel) In this configuration, the `ChatMemoryAdvisor` will be executed first, adding the conversation history to the prompt. Then, the `QuestionAnswerAdvisor` will perform its search based on the user's question and the added conversation history, potentially providing more relevant results. - === Retrieval Augmented Generation A vector database stores data that the AI model is unaware of. From 9010da844f150c79eb89dc8b85571ed7f1650210 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sun, 29 Sep 2024 19:48:32 +0200 Subject: [PATCH 19/24] Add order field to AdvisorObservationContext - Introduce 'order' field to track advisor position in chain - Update AdvisorObservationDocumentation with ADVISOR_ORDER - Modify DefaultAdvisorObservationConvention to include order in high cardinality key values - Update tests to reflect new order field and AROUND advisor type --- .../observation/AdvisorObservationContext.java | 18 ++++++++++++++++++ .../AdvisorObservationDocumentation.java | 9 +++++++++ .../DefaultAdvisorObservationConvention.java | 6 +++++- ...faultAdvisorObservationConventionTests.java | 16 +++++++++------- 4 files changed, 41 insertions(+), 8 deletions(-) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java index a28906995ea..3346c7b56e2 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationContext.java @@ -59,6 +59,11 @@ public enum Type { */ private Map advisorResponseContext; + /** + * The order of the advisor in the advisor chain. + */ + private int order; + public void setAdvisorName(String advisorName) { this.advisorName = advisorName; } @@ -99,6 +104,14 @@ public void setAdvisorResponseContext(Map advisorResponseContext this.advisorResponseContext = advisorResponseContext; } + public int getOrder() { + return this.order; + } + + public void setOrder(int order) { + this.order = order; + } + public static Builder builder() { return new Builder(); } @@ -132,6 +145,11 @@ public Builder withAdvisorResponseContext(Map advisorResponseCon return this; } + public Builder withOrder(int order) { + this.context.setOrder(order); + return this; + } + public AdvisorObservationContext build() { Assert.hasText(this.context.advisorName, "The advisorName must not be empty!"); Assert.notNull(this.context.advisorType, "The advisorType must not be null!"); diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationDocumentation.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationDocumentation.java index 5bb022b0879..67eafbf0bb3 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationDocumentation.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/AdvisorObservationDocumentation.java @@ -81,6 +81,15 @@ public enum HighCardinalityKeyNames implements KeyName { public String asString() { return "spring.ai.chat.client.advisor.name"; } + }, + /** + * Advisor order in the advisor chain. + */ + ADVISOR_ORDER { + @Override + public String asString() { + return "spring.ai.chat.client.advisor.order"; + } }; } diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConvention.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConvention.java index e6babe01891..43ab4ca5c83 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConvention.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConvention.java @@ -90,7 +90,7 @@ protected KeyValue springAiKind() { @Override public KeyValues getHighCardinalityKeyValues(AdvisorObservationContext context) { - return KeyValues.of(advisorName(context)); + return KeyValues.of(advisorName(context), advisorOrder(context)); } protected KeyValue advisorName(AdvisorObservationContext context) { @@ -100,4 +100,8 @@ protected KeyValue advisorName(AdvisorObservationContext context) { return ADVISOR_NAME_NONE; } + protected KeyValue advisorOrder(AdvisorObservationContext context) { + return KeyValue.of(HighCardinalityKeyNames.ADVISOR_ORDER, "" + context.getOrder()); + } + } \ No newline at end of file diff --git a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConventionTests.java b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConventionTests.java index e56219f8e64..33d3fdecdb8 100644 --- a/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConventionTests.java +++ b/spring-ai-core/src/test/java/org/springframework/ai/chat/client/advisor/observation/DefaultAdvisorObservationConventionTests.java @@ -42,17 +42,17 @@ void shouldHaveName() { void contextualName() { AdvisorObservationContext observationContext = AdvisorObservationContext.builder() .withAdvisorName("MyName") - .withAdvisorType(AdvisorObservationContext.Type.BEFORE) + .withAdvisorType(AdvisorObservationContext.Type.AROUND) .build(); assertThat(this.observationConvention.getContextualName(observationContext)) - .isEqualTo("chat_client_advisor my_name_before"); + .isEqualTo("chat_client_advisor my_name_around"); } @Test void supportsAdvisorObservationContext() { AdvisorObservationContext observationContext = AdvisorObservationContext.builder() .withAdvisorName("MyName") - .withAdvisorType(AdvisorObservationContext.Type.BEFORE) + .withAdvisorType(AdvisorObservationContext.Type.AROUND) .build(); assertThat(this.observationConvention.supportsContext(observationContext)).isTrue(); assertThat(this.observationConvention.supportsContext(new Observation.Context())).isFalse(); @@ -62,10 +62,10 @@ void supportsAdvisorObservationContext() { void shouldHaveLowCardinalityKeyValuesWhenDefined() { AdvisorObservationContext observationContext = AdvisorObservationContext.builder() .withAdvisorName("MyName") - .withAdvisorType(AdvisorObservationContext.Type.AFTER) + .withAdvisorType(AdvisorObservationContext.Type.AROUND) .build(); assertThat(this.observationConvention.getLowCardinalityKeyValues(observationContext)).contains( - KeyValue.of(LowCardinalityKeyNames.ADVISOR_TYPE.asString(), "AFTER"), + KeyValue.of(LowCardinalityKeyNames.ADVISOR_TYPE.asString(), "AROUND"), KeyValue.of(LowCardinalityKeyNames.SPRING_AI_KIND.asString(), "chat_client_advisor")); } @@ -73,11 +73,13 @@ void shouldHaveLowCardinalityKeyValuesWhenDefined() { void shouldHaveKeyValuesWhenDefinedAndResponse() { AdvisorObservationContext observationContext = AdvisorObservationContext.builder() .withAdvisorName("MyName") - .withAdvisorType(AdvisorObservationContext.Type.AFTER) + .withAdvisorType(AdvisorObservationContext.Type.AROUND) + .withOrder(678) .build(); assertThat(this.observationConvention.getHighCardinalityKeyValues(observationContext)) - .contains(KeyValue.of(HighCardinalityKeyNames.ADVISOR_NAME.asString(), "MyName")); + .contains(KeyValue.of(HighCardinalityKeyNames.ADVISOR_NAME.asString(), "MyName")) + .contains(KeyValue.of(HighCardinalityKeyNames.ADVISOR_ORDER.asString(), "678")); } } From 3b27d5ef181d37080ccdb0f4054dcc357da614a1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dariusz=20J=C4=99drzejczyk?= Date: Mon, 30 Sep 2024 09:36:26 +0200 Subject: [PATCH 20/24] Removed StreamAggregationAdvisor and related comments for now --- .../ai/chat/client/DefaultChatClient.java | 2 -- .../advisor/api/StreamAggregationAdvisor.java | 32 ------------------- 2 files changed, 34 deletions(-) delete mode 100644 spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java index 8d9a82104f8..34acc6423d3 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java @@ -607,8 +607,6 @@ public int getOrder() { @Override public Flux aroundStream(AdvisedRequest advisedRequest, StreamAroundAdvisorChain chain) { - // TODO: use aggregate stream advisors and apply over the original - // stream return chatModel.stream(advisedRequest.toPrompt()) .map( chatResponse -> new AdvisedResponse(chatResponse, Collections.unmodifiableMap(advisedRequest.adviseContext()))) .publishOn(Schedulers.boundedElastic());// TODO add option to disable. diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java deleted file mode 100644 index 135aa367944..00000000000 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/advisor/api/StreamAggregationAdvisor.java +++ /dev/null @@ -1,32 +0,0 @@ -/* -* Copyright 2024 - 2024 the original author or authors. -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* https://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*/ -package org.springframework.ai.chat.client.advisor.api; - -import reactor.core.publisher.Mono; - -/** - * Streaming Around Advisor Chain is used to delegate the advised request to the next - * advisor in the chain. - * - * @author Christian Tzolov - * @author Dariusz Jedrzejczyk - * @since 1.0.0 - */ -public interface StreamAggregationAdvisor extends Advisor { - - Mono accept(AdvisedResponse advisedResponse); - -} From eb9d3b09bfbd805fd4fbb9d97df14f1323fc2fc3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dariusz=20J=C4=99drzejczyk?= Date: Mon, 30 Sep 2024 09:47:56 +0200 Subject: [PATCH 21/24] Removed missed commented code --- .../springframework/ai/chat/client/DefaultChatClient.java | 8 -------- 1 file changed, 8 deletions(-) diff --git a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java index 34acc6423d3..e470b4b02ac 100644 --- a/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java +++ b/spring-ai-core/src/main/java/org/springframework/ai/chat/client/DefaultChatClient.java @@ -422,16 +422,8 @@ private Flux doGetObservableFluxChatResponse(DefaultChatClientRequ // @formatter:off // Apply the around advisor chain that terminates with the, last, // model call advisor. -// StreamAggregationAdvisor aggregationAdvisor = -// advisedResponse -> couchbaseClient.streamToBucket(advisedResponse).then(); -// -// List streamAggregationAdvisors = List.of(aggregationAdvisor); Flux stream = inputRequest.aroundAdvisorChainBuilder.build().nextAroundStream(initialAdvisedRequest); -// if (aggregationAdvisor != null) { -// stream = new MessageAggregator().aggregateAdvisedResponse(stream, aggregationAdvisor); -// } - return stream .map(AdvisedResponse::response) .doOnError(observation::error) From 1e2bd5756ef5739541c71bc2516958bdd99d33be Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Sun, 29 Sep 2024 20:22:35 +0200 Subject: [PATCH 22/24] Move advisors docs under the chatclient section --- spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc index 9808ef4e898..93940645ae7 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc @@ -3,6 +3,7 @@ * xref:getting-started.adoc[Getting Started] * xref:api/index.adoc[] ** xref:api/chatclient.adoc[] +*** xref:api/advisors.adoc[Advisors] ** xref:api/chatmodel.adoc[] *** xref:api/bedrock-chat.adoc[Amazon Bedrock] **** xref:api/chat/bedrock/bedrock-anthropic3.adoc[Anthropic3] @@ -89,8 +90,6 @@ *** xref:api/vectordbs/typesense.adoc[] *** xref:api/vectordbs/weaviate.adoc[] - -** xref:api/advisors.adoc[Advisors] ** xref:api/functions.adoc[Function Calling] ** xref:api/multimodality.adoc[Multimodality] ** xref:api/prompt.adoc[] From 63f6a1115d72abc372b6b0483531b7d3174dd35f Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Mon, 30 Sep 2024 11:42:01 +0200 Subject: [PATCH 23/24] docs improvments --- .../modules/ROOT/pages/api/advisors.adoc | 19 +++++++++++-------- .../modules/ROOT/pages/api/chatclient.adoc | 7 ++++--- 2 files changed, 15 insertions(+), 11 deletions(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc index 606e461d0b4..7ba80e82c06 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/advisors.adoc @@ -11,21 +11,24 @@ You can configure existing advisors using the xref:api/chatclient.adoc#_advisor_ [source,java] ---- -ChatClient.builder(chatModel) - // Enable the built-in chat-memory and question-answer (RAG) advisors at build time. +var chatClient = ChatClient.builder(chatModel) .defaultAdvisors( - new ChatMemoryAdvisor(chatMemory), - new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()) + new MessageChatMemoryAdvisor(chatMemory), // chat-memory advisor + new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()) // RAG advisor ) - .build() - .prompt() - // At runtime, assign a conversation ID and size to the ChatMemoryAdvisor. + .build(); + +String response = chatClient.prompt() + // Set advisor parameters at runtime .advisors(advisor -> advisor.param("chat_memory_conversation_id", "678") .param("chat_memory_response_size", 100)) .user(userText) - .call(); + .call() + .content(); ---- +It is recommend to register the advisors at build time using builder's `defaultAdvisors()` method. + == Core Components The API consists of `CallAroundAdvisor` and `CallAroundAdvisorChain` for non-streaming scenarios, and `StreamAroundAdvisor` and `StreamAroundAdvisorChain` for streaming scenarios. diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc index edc16913fa9..89025131c8e 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc @@ -354,14 +354,15 @@ ChatClient.builder(chatModel) .build() .prompt() .advisors( - new ChatMemoryAdvisor(chatMemory), + new MessageChatMemoryAdvisor(chatMemory), new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()) ) .user(userText) - .call(); + .call() + .content(); ---- -In this configuration, the `ChatMemoryAdvisor` will be executed first, adding the conversation history to the prompt. Then, the `QuestionAnswerAdvisor` will perform its search based on the user's question and the added conversation history, potentially providing more relevant results. +In this configuration, the `MessageChatMemoryAdvisor` will be executed first, adding the conversation history to the prompt. Then, the `QuestionAnswerAdvisor` will perform its search based on the user's question and the added conversation history, potentially providing more relevant results. === Retrieval Augmented Generation From c659223f6a221174c0c0fd7dc121b307f09d08f3 Mon Sep 17 00:00:00 2001 From: Christian Tzolov Date: Tue, 1 Oct 2024 11:30:51 +0200 Subject: [PATCH 24/24] udpate the chatclient advisors samples --- .../antora/modules/ROOT/pages/api/chatclient.adoc | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc index 89025131c8e..1be8ec5fce3 100644 --- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc +++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc @@ -351,12 +351,12 @@ IMPORTANT: The order in which advisors are added to the chain is crucial, as it [source,java] ---- ChatClient.builder(chatModel) + .defaultAdvisors( + new MessageChatMemoryAdvisor(chatMemory), // chat-memory advisor + new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()) // RAG advisor + ) .build() .prompt() - .advisors( - new MessageChatMemoryAdvisor(chatMemory), - new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults()) - ) .user(userText) .call() .content(); @@ -376,8 +376,8 @@ Assuming you have already loaded data into a `VectorStore`, you can perform Retr [source,java] ---- ChatResponse response = ChatClient.builder(chatModel) - .build().prompt() - .advisors(new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults())) + .defaultAdvisors(new QuestionAnswerAdvisor(vectorStore, SearchRequest.defaults())) + .build().prompt() .user(userText) .call() .chatResponse();

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