langchain4j DefaultAiServices源码解析

2024-05-24 12:25:13 浏览数 (1)

版本

0.28.0

源码

使用langchain4j,可以通过AiServices来封装聊天模型API,实现会话记忆,工具调用,搜索增强,内容审查等功能,并提供简单灵活的用户接口 DefaultAiServices是其默认实现类型,通过动态代理的方式实现用户定义的服务接口

代码语言:javascript复制
class DefaultAiServices<T> extends AiServices<T> {


    private static final int MAX_SEQUENTIAL_TOOL_EXECUTIONS = 10;

    DefaultAiServices(AiServiceContext context) {
        super(context);
    }
	// 校验使用提示词模板发送消息的方法参数
    static void validateParameters(Method method) {
    	// 如果只有一个参数或者没有参数跳过检查(参数直接作为内容发送的方法/其他非发送内容的方法)
        Parameter[] parameters = method.getParameters();
        if (parameters == null || parameters.length < 2) {
            return;
        }
        for (Parameter parameter : parameters) {
        	// 获取应用于提示词模板的参数(带有V注解)
            V v = parameter.getAnnotation(V.class);
            // 获取用户消息模板参数
            dev.langchain4j.service.UserMessage userMessage = parameter.getAnnotation(dev.langchain4j.service.UserMessage.class);
            // 获取记忆ID参数
            MemoryId memoryId = parameter.getAnnotation(MemoryId.class);
            // 获取用户名参数
            UserName userName = parameter.getAnnotation(UserName.class);
            // 如果没有任何模板参数则报错
            if (v == null && userMessage == null && memoryId == null && userName == null) {
                throw illegalConfiguration(
                        "Parameter '%s' of method '%s' should be annotated with @V or @UserMessage or @UserName or @MemoryId",
                        parameter.getName(), method.getName()
                );
            }
        }
    }

    public T build() {
		// 基本校验
		// 1. 校验chatModel/streamingChatModel是否有值
		// 2. 校验toolSpecifications有值时上下文是否启用记忆(使用工具调用至少需要在记忆中保存3个消息)
        performBasicValidation();
		// 校验方法使用了Moderate时是否同时指定了审查模型(moderationModel)
        for (Method method : context.aiServiceClass.getMethods()) {
            if (method.isAnnotationPresent(Moderate.class) && context.moderationModel == null) {
                throw illegalConfiguration("The @Moderate annotation is present, but the moderationModel is not set up. "  
                        "Please ensure a valid moderationModel is configured before using the @Moderate annotation.");
            }
        }
		// 构造动态代理
        Object proxyInstance = Proxy.newProxyInstance(
                context.aiServiceClass.getClassLoader(),
                new Class<?>[]{context.aiServiceClass},
                new InvocationHandler() {

                    private final ExecutorService executor = Executors.newCachedThreadPool();

                    @Override
                    public Object invoke(Object proxy, Method method, Object[] args) throws Exception {
						// 直接执行Object类定义的方法
                        if (method.getDeclaringClass() == Object.class) {
                            // methods like equals(), hashCode() and toString() should not be handled by this proxy
                            return method.invoke(this, args);
                        }
						// 校验提示词模板参数
                        validateParameters(method);
						// 获取系统消息
                        Optional<SystemMessage> systemMessage = prepareSystemMessage(method, args);
                        // 获取用户消息
                        UserMessage userMessage = prepareUserMessage(method, args);
						// 获取记忆ID参数值,如果没有记忆ID参数则使用默认值“default”
                        Object memoryId = memoryId(method, args).orElse(DEFAULT);
						// 使用检索增强生成(RAG),将检索结果内容与用户原始消息文本整合作为用户消息
                        if (context.retrievalAugmentor != null) {
                            List<ChatMessage> chatMemory = context.hasChatMemory()
                                    ? context.chatMemory(memoryId).messages()
                                    : null;
                            Metadata metadata = Metadata.from(userMessage, memoryId, chatMemory);
                            userMessage = context.retrievalAugmentor.augment(userMessage, metadata);
                        }

                        // 用于提供客制化的输出解析,根据函数返回类型生成需要返回的消息格式的相关提示词,追加到用户消息里面
                        // 如果返回类型为String,AiMessage,TokenStream,Response则不追加格式提示词
                       	// 如果返回类型为void则报错
                       	// 如果返回类型为enum枚举类型,则追加提示词“nYou must answer strictly in the following format: one of value1,value2,value3...,valueN”
                       	// 如果返回类型是 boolean/byte/short/int/long/BigInteger/float/double/BigDecimal/Date/LocalDate/LocalTime/LocalDateTime 或其对应包装类型,则追加对应值类型提示词,例如“nYou must answer strictly in the following format: one of [true, false]” ,“...format: integer number in range [-128, 127]”
                       	// 如果返回类型是List/Set,则追加提示词“You must put every item on a separate line.”
                       	// 否则追加提示词,以json形式返回 “You must answer strictly in the following JSON format: {...}”
                        String outputFormatInstructions = outputFormatInstructions(method.getReturnType());
                        userMessage = UserMessage.from(userMessage.text()   outputFormatInstructions);
						// 如果包含聊天记忆,则在聊天记忆中追加系统消息和用户消息
                        if (context.hasChatMemory()) {
                            ChatMemory chatMemory = context.chatMemory(memoryId);
                            systemMessage.ifPresent(chatMemory::add);
                            chatMemory.add(userMessage);
                        }
						// 从记忆中获取消息清单或构建新的消息清单
                        List<ChatMessage> messages;
                        if (context.hasChatMemory()) {
                            messages = context.chatMemory(memoryId).messages();
                        } else {
                            messages = new ArrayList<>();
                            systemMessage.ifPresent(messages::add);
                            messages.add(userMessage);
                        }
						// 执行审查
                        Future<Moderation> moderationFuture = triggerModerationIfNeeded(method, messages);
						// 以流式处理消息
                        if (method.getReturnType() == TokenStream.class) {
                            return new AiServiceTokenStream(messages, context, memoryId); // 尚未实现响应内容审查,也不支持工具调用
                        }
						// 调用chatModel生成响应
                        Response<AiMessage> response = context.toolSpecifications == null
                                ? context.chatModel.generate(messages)
                                : context.chatModel.generate(messages, context.toolSpecifications);
                        // 获取token用量
                        TokenUsage tokenUsageAccumulator = response.tokenUsage();
						// 校验审查结果
                        verifyModerationIfNeeded(moderationFuture);
                        // 执行工具调用
						// 工具调用的最大执行次数(10)
                        int executionsLeft = MAX_SEQUENTIAL_TOOL_EXECUTIONS;
                        while (true) {
                            if (executionsLeft-- == 0) {
                                throw runtime("Something is wrong, exceeded %s sequential tool executions",
                                        MAX_SEQUENTIAL_TOOL_EXECUTIONS);
                            }
                            // 获取AI响应消息,添加到记忆中
                            AiMessage aiMessage = response.content();
                            if (context.hasChatMemory()) {
                                context.chatMemory(memoryId).add(aiMessage);
                            }
							// 如果不存在工具调用请求则中断
                            if (!aiMessage.hasToolExecutionRequests()) {
                                break;
                            }
							// 根据工具调用请求,依次调用工具,并将工具执行结果消息添加到记忆中
                            ChatMemory chatMemory = context.chatMemory(memoryId);							
                            for (ToolExecutionRequest toolExecutionRequest : aiMessage.toolExecutionRequests()) {
                                ToolExecutor toolExecutor = context.toolExecutors.get(toolExecutionRequest.name());
                                String toolExecutionResult = toolExecutor.execute(toolExecutionRequest, memoryId);
                                ToolExecutionResultMessage toolExecutionResultMessage = ToolExecutionResultMessage.from(
                                        toolExecutionRequest,
                                        toolExecutionResult
                                );
                                chatMemory.add(toolExecutionResultMessage);
                            }
							// 根据添加了工具执行结果的记忆再次调用模型生成
                            response = context.chatModel.generate(chatMemory.messages(), context.toolSpecifications);
                            // 累计token用量
                            tokenUsageAccumulator = tokenUsageAccumulator.add(response.tokenUsage());
                        }
						// 返回最终的响应
                        response = Response.from(response.content(), tokenUsageAccumulator, response.finishReason());
                        // 将响应解析为方法对应的返回类型对象
                        return parse(response, method.getReturnType());
                    }

                    private Future<Moderation> triggerModerationIfNeeded(Method method, List<ChatMessage> messages) {
                        if (method.isAnnotationPresent(Moderate.class)) {
                            return executor.submit(() -> {
                                List<ChatMessage> messagesToModerate = removeToolMessages(messages);
                                return context.moderationModel.moderate(messagesToModerate).content();
                            });
                        }
                        return null;
                    }
                });

        return (T) proxyInstance;
    }
	// 准备系统消息
    private Optional<SystemMessage> prepareSystemMessage(Method method, Object[] args) {
		// 获取提示词模板变量
        Parameter[] parameters = method.getParameters();
        Map<String, Object> variables = getPromptTemplateVariables(args, parameters);
		
        dev.langchain4j.service.SystemMessage annotation = method.getAnnotation(dev.langchain4j.service.SystemMessage.class);
        if (annotation != null) {
        	// 获取 SystemMessage 注解的系统消息提示词模板
            String systemMessageTemplate = getPromptText(
                    method,
                    "System",
                    annotation.fromResource(), // 提示词资源文件,如果没有则取value值
                    annotation.value(), // 提示词文本
                    annotation.delimiter() // 换行符
            );
			// 根据模板和变量获取提示词
            Prompt prompt = PromptTemplate.from(systemMessageTemplate).apply(variables);
            return Optional.of(prompt.toSystemMessage());
        }

        return Optional.empty();
    }
	// 准备用户消息
    private static UserMessage prepareUserMessage(Method method, Object[] args) {
        Parameter[] parameters = method.getParameters();
        Map<String, Object> variables = getPromptTemplateVariables(args, parameters);
        // 获取用户名参数
        String userName = getUserName(parameters, args);
        dev.langchain4j.service.UserMessage annotation = method.getAnnotation(dev.langchain4j.service.UserMessage.class);
        if (annotation != null) {
            String userMessageTemplate = getPromptText(
                    method,
                    "User",
                    annotation.fromResource(),
                    annotation.value(),
                    annotation.delimiter()
            );
			// 如果模板中使用了{{it}}占位符,则只允许使用一个模板参数
            if (userMessageTemplate.contains("{{it}}")) {
                if (parameters.length != 1) {
                    throw illegalConfiguration("Error: The {{it}} placeholder is present but the method does not have exactly one parameter. "  
                            "Please ensure that methods using the {{it}} placeholder have exactly one parameter.");
                }
                variables = singletonMap("it", toString(args[0]));
            }
            Prompt prompt = PromptTemplate.from(userMessageTemplate).apply(variables);
            if (userName != null) {
            	// 使用用户名构造用户消息
                return userMessage(userName, prompt.text());
            } else {
                return prompt.toUserMessage();
            }
        }
        // 方法如果没有UserMessage注解,查找使用UserMessage注解的参数,作为消息内容
        for (int i = 0; i < parameters.length; i  ) {
            if (parameters[i].isAnnotationPresent(dev.langchain4j.service.UserMessage.class)) {
                String text = toString(args[i]);
                if (userName != null) {
                    return userMessage(userName, text);
                } else {
                    return userMessage(text);
                }
            }
        }
		// 如果完全没有参数则报错
        if (args == null || args.length == 0) {
            throw illegalConfiguration("Method should have at least one argument");
        }
		// 如果只有一个没有注解的参数,则作为消息内容
        if (args.length == 1) {
            String text = toString(args[0]);
            if (userName != null) {
                return userMessage(userName, text);
            } else {
                return userMessage(text);
            }
        }
        throw illegalConfiguration("For methods with multiple parameters, each parameter must be annotated with @V, @UserMessage, @UserName or @MemoryId");
    }
    // 根据方法提示词注解获取提示词文本
	// resource 提示词资源文件,如果没有则取value值
    // value 提示词文本
    // delimiter 分隔符(换行符)
    private static String getPromptText(Method method, String type, String resource, String[] value, String delimiter) {
        String messageTemplate;
        if (!resource.trim().isEmpty()) {
            messageTemplate = getResourceText(method.getDeclaringClass(), resource);
            if (messageTemplate == null) {
                throw illegalConfiguration("@%sMessage's resource '%s' not found", type, resource);
            }
        } else {
            messageTemplate = String.join(delimiter, value);
        }
        if (messageTemplate.trim().isEmpty()) {
            throw illegalConfiguration("@%sMessage's template cannot be empty", type);
        }
        return messageTemplate;
    }

    private static String getResourceText(Class<?> clazz, String name) {
        return getText(clazz.getResourceAsStream(name));
    }

    private static String getText(InputStream inputStream) {
        if (inputStream == null) {
            return null;
        }
        try (Scanner scanner = new Scanner(inputStream);
             Scanner s = scanner.useDelimiter("\A")) {
            return s.hasNext() ? s.next() : "";
        }
    }

    private Optional<Object> memoryId(Method method, Object[] args) {
        Parameter[] parameters = method.getParameters();
        for (int i = 0; i < parameters.length; i  ) {
            if (parameters[i].isAnnotationPresent(MemoryId.class)) {
                Object memoryId = args[i];
                if (memoryId == null) {
                    throw illegalArgument("The value of parameter %s annotated with @MemoryId in method %s must not be null",
                            parameters[i].getName(), method.getName());
                }
                return Optional.of(memoryId);
            }
        }
        return Optional.empty();
    }
	// 获取用户名参数
    private static String getUserName(Parameter[] parameters, Object[] args) {
        for (int i = 0; i < parameters.length; i  ) {
            if (parameters[i].isAnnotationPresent(UserName.class)) {
                return args[i].toString();
            }
        }
        return null;
    }
	// 获取提示词模板变量
	// 遍历V注解的变量,返回变量名和变量值映射
    private static Map<String, Object> getPromptTemplateVariables(Object[] args, Parameter[] parameters) {
        Map<String, Object> variables = new HashMap<>();
        for (int i = 0; i < parameters.length; i  ) {
            V varAnnotation = parameters[i].getAnnotation(V.class);
            if (varAnnotation != null) {
                String variableName = varAnnotation.value();
                Object variableValue = args[i];
                variables.put(variableName, variableValue);
            }
        }
        return variables;
    }

    private static String toString(Object arg) {
        if (arg.getClass().isArray()) {
            return arrayToString(arg);
        } else if (arg.getClass().isAnnotationPresent(StructuredPrompt.class)) {
            return StructuredPromptProcessor.toPrompt(arg).text();
        } else {
            return arg.toString();
        }
    }

    private static String arrayToString(Object arg) {
        StringBuilder sb = new StringBuilder("[");
        int length = Array.getLength(arg);
        for (int i = 0; i < length; i  ) {
            sb.append(toString(Array.get(arg, i)));
            if (i < length - 1) {
                sb.append(", ");
            }
        }
        sb.append("]");
        return sb.toString();
    }
}

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