SpringAI实时监控+观测性

为什么Spring AI应用急需可观测性AI服务成本失控的痛点在企业级AI应用中使用DeepSeek、OpenAI、Google Gemini或Azure OpenAI等服务时成本控制是一个严峻挑战Token消耗不透明无法精确了解每次AI调用的成本费用增长失控大规模应用中AI服务费用可能呈指数级增长性能瓶颈难定位AI调用链路复杂问题排查困难资源使用不合理缺乏数据支撑的优化决策Spring AI可观测性的价值Spring AI的可观测性功能为这些痛点提供了完美解决方案✅ 精准Token监控实时追踪输入/输出Token消耗精确到每次调用✅ 智能成本控制基于使用统计制定成本优化策略✅ 深度性能分析识别AI调用瓶颈优化响应时间✅ 完整链路追踪端到端记录请求在Spring AI应用中的完整流转实战演练构建可观测的Spring AI翻译应用第一步Spring AI项目初始化在start.spring.io[1]创建Spring Boot项目集成Spring AI核心依赖Maven依赖配置Spring AI BOM管理!--百炼--dependencygroupIdcom.alibaba.cloud.ai/groupIdartifactIdspring-ai-alibaba-starter-dashscope/artifactId/dependency!-- Spring Boot Actuator 监控 --dependencygroupIdorg.springframework.boot/groupIdartifactIdspring-boot-starter-actuator/artifactId/dependency!--web--dependencygroupIdorg.springframework.boot/groupIdartifactIdspring-boot-starter-web/artifactId/dependency第二步Spring AI客户端配置主应用类配置SpringBootApplicationpublicclassSpringAiTranslationApplication{publicstaticvoidmain(String[]args){SpringApplication.run(SpringAiTranslationApplication.class,args);}BeanpublicChatClientchatClient(ChatClient.Builderbuilder){returnbuilder.build();}}Spring AI配置文件#SpringAI可观测性配置 management:endpoints:web:exposure:include:*endpoint:health:show-details:always metrics:export:prometheus:enabled:truespring:threads:virtual:enabled:trueai:deepseek:api-key:${DEEPSEEK_API_KEY}chat:options:model:deepseek-chat temperature:0.8环境变量设置export DEEPSEEK_API_KEYyour-deepseek-api-key第三步构建Spring AI翻译服务智能翻译控制器RestControllerRequestMapping(/api/v1)RequiredArgsConstructorSlf4jpublicclassSpringAiTranslationController{privatefinalChatModelchatModel;PostMapping(/translate)publicTranslationResponsetranslate(RequestBodyTranslationRequestrequest){log.info(Spring AI翻译请求: {} - {},request.getSourceLanguage(),request.getTargetLanguage());StringpromptString.format(作为专业翻译助手请将以下%s文本翻译成%s保持原文的语气和风格\n%s,request.getSourceLanguage(),request.getTargetLanguage(),request.getText());StringtranslatedTextchatModel.call(prompt);returnTranslationResponse.builder().originalText(request.getText()).translatedText(translatedText).sourceLanguage(request.getSourceLanguage()).targetLanguage(request.getTargetLanguage()).timestamp(System.currentTimeMillis()).build();}}DataNoArgsConstructorAllArgsConstructorBuilderclassTranslationRequest{privateStringtext;privateStringsourceLanguage;privateStringtargetLanguage;}DataNoArgsConstructorAllArgsConstructorBuilderclassTranslationResponse{privateStringoriginalText;privateStringtranslatedText;privateStringsourceLanguage;privateStringtargetLanguage;privateLongtimestamp;}第四步Spring AI翻译API测试curl-XPOST http://localhost:8080/api/v1/translate-HContent-Type: application/json-d{ text: Spring AI makes AI integration incredibly simple and powerful, sourceLanguage: 英语, targetLanguage: 中文 }# 响应示例{originalText:Spring AI makes AI integration incredibly simple and powerful,translatedText:Spring AI让AI集成变得极其简单而强大,sourceLanguage:英语,targetLanguage:中文,timestamp:1704067200000}Spring AI监控指标深度解析核心指标1Spring AI操作性能监控指标端点/actuator/metrics/spring.ai.chat.client{name:spring.ai.chat.client.operation,description:Spring AI ChatClient操作性能指标,baseUnit:seconds,measurements:[{statistic:COUNT,value:15},{statistic:TOTAL_TIME,value:8.456780293},{statistic:MAX,value:2.123904083}],availableTags:[{tag:gen_ai.operation.name,values:[framework]},{tag:spring.ai.kind,values:[chat_client]}]}业务价值监控Spring AI翻译服务调用频次分析Spring AI响应时间分布识别Spring AI性能瓶颈核心指标2Spring AI Token使用量精准追踪指标端点/actuator/metrics/gen_ai.client.token.usage{name:gen_ai.client.token.usage,description:Spring AI Token使用量统计,measurements:[{statistic:COUNT,value:1250}],availableTags:[{tag:gen_ai.response.model,values:[deepseek-chat]},{tag:gen_ai.request.model,values:[deepseek-chat]},{tag:gen_ai.token.type,values:[output,input,total]}]}成本控制价值精确计算Spring AI服务成本优化Prompt设计降低Token消耗制定基于使用量的预算策略