Agent设计模式学习(基于langchain4j实现)(7) - 监督者模式

书接上回，这次学习一种更高级的模式：监督者模式。职场上的牛马们，大家回想一下，每次部门的OKR，是怎样层层拆解最终落地的？是不是得有一个大佬(即：监督者)，根据OKR先做拆解计划（plan)，然后把活儿派给各组去落地(action)，中间还会时不时的review？ 这个就叫做监督者模式。

仍然还是这个招聘的示例，我们定义1个监督者Agent

public interface HiringSupervisor {
    @Agent("顶级招聘主管，协调候选人评估和决策流程")
    ResultWithAgenticScope<String> invoke(@V("request") String request, @V("supervisorContext") String supervisorContext);
}

它可以根据request做出计划，然后调用前面已经已经定义好的其它子Agent：

• HrCvReviewer （人事评审）
• ManagerCvReviewer （经理评审）
• TeamMemberCvReviewer （团队评审）

根据评审结果，再进行下一步：

• InterviewOrganizer（评审通过，组织面试）
• EmailAssistant（评审未通过，回邮件拒绝候选人）

上述这些计划，无需开发者额外写业务逻辑，langchain4j内置了一个 dev.langchain4j.agentic.supervisor.PlannerAgent

package dev.langchain4j.agentic.supervisor;

import dev.langchain4j.service.MemoryId;
import dev.langchain4j.service.SystemMessage;
import dev.langchain4j.service.UserMessage;
import dev.langchain4j.service.V;
import dev.langchain4j.service.memory.ChatMemoryAccess;

public interface PlannerAgent extends ChatMemoryAccess {

    @SystemMessage(
            """
            You are a planner expert that is provided with a set of agents.
            You know nothing about any domain, don't take any assumptions about the user request,
            the only thing that you can do is rely on the provided agents.

            Your role is to analyze the user request and decide which one of the provided agents to call next to address it.
            You return an agent invocation consisting of the name of the agent and the arguments to pass to it.

            If no further agent requests are required, return an agentName of "done" and an argument named
            "response", where the value of the response argument is a recap of all the performed actions,
            written in the same language as the user request.

            Agents are provided with their name and description together with a list of applicable arguments
            in the format {'name', 'description', [argument1: type1, argument2: type2]}.

            Decide which agent to invoke next, doing things in small steps and
            never taking any shortcuts or relying on your own knowledge.
            Even if the user's request is already clear or explicit, don't make any assumptions and use the agents.
            Be sure to query ALL necessary agents.

            The comma separated list of available agents is: '{{agents}}'.

            {{supervisorContext}}
            """)
    @UserMessage(
            """
            The user request is: '{{request}}'.
            The last received response is: '{{lastResponse}}'.
            """)
    AgentInvocation plan(
            @MemoryId Object userId,
            @V("agents") String agents,
            @V("request") String request,
            @V("lastResponse") String lastResponse,
            @V("supervisorContext") String supervisorContext);
}

 翻译一下：

package dev.langchain4j.agentic.supervisor;

import dev.langchain4j.service.MemoryId;
import dev.langchain4j.service.SystemMessage;
import dev.langchain4j.service.UserMessage;
import dev.langchain4j.service.V;
import dev.langchain4j.service.memory.ChatMemoryAccess;

public interface PlannerAgent extends ChatMemoryAccess {

    @SystemMessage(
            """
            你是一个规划专家，可以访问一组智能体。
            你没有任何领域的知识，不要对用户请求做任何假设，
            你唯一能做的就是依赖提供的智能体。
            
            你的角色是分析用户请求，并决定接下来调用哪个智能体来处理它。
            你返回一个智能体调用，包括智能体名称和要传递给它的参数。
            
            如果不再需要调用智能体，则返回智能体名称为"done"和一个名为"response"的参数，
            其中response参数的值是对所有已执行操作的总结，使用与用户请求相同的语言编写。
            
            提供的智能体包括名称、描述以及适用的参数列表，
            格式为：{'name', 'description', [argument1: type1, argument2: type2]}。
            
            决定接下来调用哪个智能体，以小步骤进行，
            永远不要走捷径或依赖你自己的知识。
            即使用户的请求已经很清晰或明确，也不要做任何假设，必须使用智能体。
            确保查询所有必要的智能体。
            
            可用智能体的逗号分隔列表为：'{{agents}}'。
            
            {{supervisorContext}}
            """)
    @UserMessage(
            """
            用户请求是：'{{request}}'。
            最后收到的响应是：'{{lastResponse}}'。
            """)
    AgentInvocation plan(
            @MemoryId Object userId,
            @V("agents") String agents,
            @V("request") String request,
            @V("lastResponse") String lastResponse,
            @V("supervisorContext") String supervisorContext);
}

下面是监控者模式的示例代码：

/**
 * 到目前为止，我们构建的都是确定性工作流：
 * - 顺序、并行、条件、循环以及它们的组合。
 * 你还可以构建一个监督者智能体系统，其中智能体会动态决定调用哪些子智能体以及调用顺序。
 * 在这个示例中，监督者协调招聘工作流：
 * 他负责运行HR/经理/团队评审，然后要么安排面试，要么发送拒绝邮件。
 * 就像组合工作流示例的第二部分，但现在是"自组织的"
 * 注意：监督者超级智能体可以像其他类型的超级智能体一样用于组合工作流中。
 * 重要提示：这个示例使用GPT-4o-mini运行大约需要50秒。你可以在PRETTY日志中持续查看执行过程。
 * 有方法可以加速执行，请参见本文件末尾的注释。
 * by 菩提树下的杨过（yjmyzz.cnblogs.com)
 */
@SpringBootApplication
public class _7a_Supervisor_Orchestration {

    public static void main(String[] args) throws IOException {
        ConfigurableApplicationContext context = SpringApplication.run(AgentDesignPatternApplication.class, args);
        ChatModel model = context.getBean("ollamaChatModel", ChatModel.class);
        RagProvider ragProvider = context.getBean("ragProvider", RagProvider.class);

        // 1. 定义所有子智能体
        HrCvReviewer hrReviewer = AgenticServices.agentBuilder(HrCvReviewer.class)
                .chatModel(model)
                .outputKey("hrReview")
                .build();
        // 重要：如果我们为多个智能体使用相同的方法名
        // （在此例中：所有评审者都使用'reviewCv'方法），最好为智能体命名，像这样：
        // @Agent(name = "managerReviewer", description = "基于职位描述审查简历，提供反馈和评分")

        ManagerCvReviewer managerReviewer = AgenticServices.agentBuilder(ManagerCvReviewer.class)
                .chatModel(model)
                .outputKey("managerReview")
                .build();

        TeamMemberCvReviewer teamReviewer = AgenticServices.agentBuilder(TeamMemberCvReviewer.class)
                .chatModel(model)
                .outputKey("teamMemberReview")
                .build();

        InterviewOrganizer interviewOrganizer = AgenticServices.agentBuilder(InterviewOrganizer.class)
                .chatModel(model)
                .tools(new OrganizingTools())
                .contentRetriever(ragProvider.loadHouseRulesRetriever())
                .build();

        EmailAssistant emailAssistant = AgenticServices.agentBuilder(EmailAssistant.class)
                .chatModel(model)
                .tools(new OrganizingTools())
                .build();

        // 2. 构建监督者智能体
        SupervisorAgent hiringSupervisor = AgenticServices.supervisorBuilder()
                .chatModel(model)
                .subAgents(hrReviewer, managerReviewer, teamReviewer, interviewOrganizer, emailAssistant)
                .contextGenerationStrategy(SupervisorContextStrategy.CHAT_MEMORY_AND_SUMMARIZATION)
                .responseStrategy(SupervisorResponseStrategy.SUMMARY) // 我们想要执行过程的摘要，而不是检索特定响应
                .supervisorContext("始终使用所有可用的评审者。始终用中文回答。调用智能体时，使用纯JSON（无反引号，换行符使用反斜杠+n）。") // 监督者行为的可选上下文
                .build();
        // 重要须知：监督者一次调用一个智能体，然后审查其计划以选择下一个调用的智能体
        // 监督者无法并行执行智能体
        // 如果智能体被标记为异步，监督者将覆盖该设置（无异步执行）并发出警告

        // 3. 加载候选人简历和职位描述
        String jobDescription = StringLoader.loadFromResource("/documents/job_description_backend.txt");
        String candidateCv = StringLoader.loadFromResource("/documents/tailored_cv.txt");
        String candidateContact = StringLoader.loadFromResource("/documents/candidate_contact.txt");
        String hrRequirements = StringLoader.loadFromResource("/documents/hr_requirements.txt");
        String phoneInterviewNotes = StringLoader.loadFromResource("/documents/phone_interview_notes.txt");

        // 开始计时
        long start = System.nanoTime();
        // 4. 用自然语言请求调用监督者
        String result = (String) hiringSupervisor.invoke(
                "评估以下候选人：\n" +
                        "候选人简历(candidateCv)：\n" + candidateCv + "\n\n" +
                        "候选人联系方式(candidateContact)：\n" + candidateContact + "\n\n" +
                        "职位描述(jobDescription)：\n" + jobDescription + "\n\n" +
                        "HR要求(hrRequirements)：\n" + hrRequirements + "\n\n" +
                        "电话面试记录(phoneInterviewNotes)：\n" + phoneInterviewNotes
        );
        long end = System.nanoTime();
        double elapsedSeconds = (end - start) / 1_000_000_000.0;
        // 在日志中你会注意到最终调用了'done'智能体，这是监督者完成调用系列的方式

        System.out.println("=== 监督者运行完成，耗时 " + elapsedSeconds + " 秒 ===");
        System.out.println(result);
    }

    // 高级用例：
    // 参见 _7b_Supervisor_Orchestration_Advanced.java 了解：
    // - 类型化监督者，
    // - 上下文工程，
    // - 输出策略，
    // - 调用链观察，

    // 关于延迟：
    // 整个流程运行通常需要超过60秒。
    // 一个解决方案是使用快速推理提供商如CEREBRAS，
    // 它将在10秒内运行整个流程，但会犯更多错误。
    // 要使用CEREBRAS尝试此示例，获取一个密钥（点击获取免费API密钥）
    // https://inference-docs.cerebras.ai/quickstart
    // 并保存在环境变量中作为"CEREBRAS_API_KEY"
    // 然后将第38行改为：
    // private static final ChatModel CHAT_MODEL = ChatModelProvider.createChatModel("CEREBRAS");
}

时序图(简单版)-AI生成

时序图(详细版)-AI生成

运行结果（注：在不同的模型上，运行结果可能会有所不同）

2026-01-18T18:11:53.519+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/embed
- headers: [Content-Type: application/json]
- body: {
  "model" : "nomic-embed-text:latest",
  "input" : [ "1.仅允许在停车场后方指定户外区域吸烟。\r\n2.办公区安静时段为下午2点至4点，请避免在开放空间大声交谈。\r\n3.员工须至少提前24小时通过内部日历预订会议室。\r\n4.自行车必须停放在主楼外侧的专用自行车停放区。\r\n5.所有外部访客须凭有效身份证件在前台登记方可进入。\r\n6.外部访客均须佩戴临时访客证，并确保证件清晰可见。" ]
}

2026-01-18T18:11:56.891+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:11:56 GMT], [transfer-encoding: chunked]
- body: {"model":"nomic-embed-text:latest","embeddings":[[0.028599557,...-0.054139506]],"total_duration":3336765400,"load_duration":3326598100,"prompt_eval_count":161}

2026-01-18T18:11:56.979+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "You are a planner expert that is provided with a set of agents.\nYou know nothing about any domain, don't take any assumptions about the user request,\nthe only thing that you can do is rely on the provided agents.\n\nYour role is to analyze the user request and decide which one of the provided agents to call next to address it.\nYou return an agent invocation consisting of the name of the agent and the arguments to pass to it.\n\nIf no further agent requests are required, return an agentName of \"done\" and an argument named\n\"response\", where the value of the response argument is a recap of all the performed actions,\nwritten in the same language as the user request.\n\nAgents are provided with their name and description together with a list of applicable arguments\nin the format {'name', 'description', [argument1: type1, argument2: type2]}.\n\nDecide which agent to invoke next, doing things in small steps and\nnever taking any shortcuts or relying on your own knowledge.\nEven if the user's request is already clear or explicit, don't make any assumptions and use the agents.\nBe sure to query ALL necessary agents.\n\nThe comma separated list of available agents is: '{'hrReviewer$0', '审查简历以评估候选人是否符合HR要求，提供反馈和评分', [candidateCv: String, phoneInterviewNotes: String, hrRequirements: String]}, {'managerReviewer$1', '基于职位描述审查简历，提供反馈和评分', [candidateCv: String, jobDescription: String]}, {'teamMemberReviewer$2', '审查简历以评估候选人是否适合团队，提供反馈和评分', [candidateCv: String]}, {'organize$3', '为申请人安排现场面试', [candidateContact: String, jobDescription: String]}, {'send$4', '向未通过筛选的候选人发送拒绝邮件，返回已发送邮件的ID，若无法发送则返回0', [candidateContact: String, jobDescription: String]}'.\n\nUse the following supervisor context to better understand constraints, policies or preferences when creating the plan '始终使用所有可用的评审者。始终用中文回答。调用智能体时，使用纯JSON（无反引号，换行符使用反斜杠+n）。'.\n"
  }, {
    "role" : "user",
    "content" : "The user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: ''.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:12:05.285+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:05 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:05.2841875Z","message":{"role":"assistant","content":"{\n\"agentName\": \"hrReviewer$0\",\n\"arguments\": {\n\"candidateCv\": \"约翰·多伊 – 后端工程师\\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\",\n\"phoneInterviewNotes\": \"电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\\n面试官：萨拉·雅各布斯 (HR)\\n工作许可： 比利时公民；拥有欧盟工作许可。\\n工作地点： 安特卫普；倾向每周3天远程办公。\\n可入职时间： 需提前3个月通知；无需搬迁。\\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\",\n\"hrRequirements\": \"## HR招聘要求\\n- 姓名和联系方式必须清晰完整。\\n- 必须在比利时/欧盟有合法工作许可。\\n- 最好能在1-2个月内入职。\\n- 薪资期望在55,000-70,000欧元/年范围内。\\n- 稳定的工作历史；无超过6个月的职业空白期。\\n- 每个职位至少任职1年，且具有相关科技行业经验。\\n- 职业生涯中职责范围的增长是可取的。\\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\\n- 简历需清晰、专业；无重大语法问题。\\n- 具备团队合作、指导他人和产品导向经验者优先。\"\n}\n}","thinking":"Okay, let's see. The user wants to evaluate the candidate John Doe for a backend engineer position in Antwerp. The candidate's resume and contact info are provided, along with the job description and HR requirements. The agents available include HR reviewer, manager reviewer, team member reviewer, organize interview, and send email.\n\nFirst, I need to check which agents are applicable. The HR reviewer is for assessing if the candidate meets HR requirements, which includes checking the job description against the candidate's qualifications. The candidate's resume has relevant skills like Java, Spring Boot, PostgreSQL, and experience with CI/CD, Docker, Kafka. The job description mentions requirements like Java, Spring Boot, PostgreSQL, Kafka, and experience with cloud environments. Also, the candidate has a Dutch proficiency and English C1, which matches the HR requirement for Dutch and English.\n\nThe HR reviewer's arguments include candidateCv, phoneInterviewNotes, and hrRequirements. The candidate's CV is provided, and the phone interview notes mention work permit, location, salary expectations, and experience. The HR requirements specify that the candidate must have a valid work permit in Belgium, be able to start within 1-2 months, have a stable work history, and speak Dutch and English fluently.\n\nSo, the first step is to call the HR reviewer agent with the candidate's CV, phone interview notes, and HR requirements. This will assess if the candidate meets the HR criteria. The response from the agent will indicate if they meet the requirements, which would then determine if further steps like organizing an interview or sending a rejection email are needed.\n"},"done":true,"done_reason":"stop","total_duration":8303082500,"load_duration":1893120700,"prompt_eval_count":1546,"prompt_eval_duration":188501700,"eval_count":793,"eval_duration":6003336600}

2026-01-18T18:12:05.294+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.a.supervisor.SupervisorPlanner       : Agent Invocation: AgentInvocation{agentName='hrReviewer$0', arguments={candidateCv=约翰·多伊 – 后端工程师
安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub, phoneInterviewNotes=电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05
面试官：萨拉·雅各布斯 (HR)
工作许可： 比利时公民；拥有欧盟工作许可。
工作地点： 安特卫普；倾向每周3天远程办公。
可入职时间： 需提前3个月通知；无需搬迁。
薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。
工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。
职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。
软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。, hrRequirements=## HR招聘要求
- 姓名和联系方式必须清晰完整。
- 必须在比利时/欧盟有合法工作许可。
- 最好能在1-2个月内入职。
- 薪资期望在55,000-70,000欧元/年范围内。
- 稳定的工作历史；无超过6个月的职业空白期。
- 每个职位至少任职1年，且具有相关科技行业经验。
- 职业生涯中职责范围的增长是可取的。
- 要求荷兰语（母语水平）和英语（C1等级）流利。
- 简历需清晰、专业；无重大语法问题。
- 具备团队合作、指导他人和产品导向经验者优先。}}
2026-01-18T18:12:05.297+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "你作为HR专员，根据以下职位要求审查简历：\n## HR招聘要求\n- 姓名和联系方式必须清晰完整。\n- 必须在比利时/欧盟有合法工作许可。\n- 最好能在1-2个月内入职。\n- 薪资期望在55,000-70,000欧元/年范围内。\n- 稳定的工作历史；无超过6个月的职业空白期。\n- 每个职位至少任职1年，且具有相关科技行业经验。\n- 职业生涯中职责范围的增长是可取的。\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\n- 简历需清晰、专业；无重大语法问题。\n- 具备团队合作、指导他人和产品导向经验者优先。\n你需要为每份简历提供评分和反馈（包括优点和不足之处）。\n可以忽略诸如缺少地址或占位符等内容。\n\n重要提示：请仅返回有效的JSON格式响应，换行符使用\\n，不要包含任何Markdown格式或代码块。\n"
  }, {
    "role" : "user",
    "content" : "请审查这份简历：约翰·多伊 – 后端工程师\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub，以及附带的电话面试记录：电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\n面试官：萨拉·雅各布斯 (HR)\n工作许可： 比利时公民；拥有欧盟工作许可。\n工作地点： 安特卫普；倾向每周3天远程办公。\n可入职时间： 需提前3个月通知；无需搬迁。\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\n\nYou must answer strictly in the following JSON format: {\n\"score\": (从0到1分你邀请这位应聘者参加面试的可能性; type: double),\n\"feedback\": (对简历的反馈，什么是好的，什么需要改进，什么技能缺失，什么危险信号……; type: string)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:12:09.310+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:09 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:09.3101262Z","message":{"role":"assistant","content":"{\n\"score\": 0.9,\n\"feedback\": \"John Doe meets all the job requirements with a stable 4-year career history and EU work permit. His technical experience (Java, Spring Boot, Kafka) and leadership in a pricing tool project align well with the role. Dutch/English C1 proficiency and product-oriented mindset are strong. The resume is clear and professional, with no major grammar issues. However, the career gap (1.5 years) is slightly above the 6-month limit, and the resume lacks specific project/achievement details. Salary expectations are within the required range, and the training budget request is acceptable. Minor improvements could include clarifying the career gap and adding more technical specifics.\"\n}","thinking":"Okay, let's start by reviewing John Doe's resume based on the HR job requirements. \n\nFirst, the contact information is clear: name, email, phone, LinkedIn, and GitHub. That's good. He has a valid EU work permit, which is a positive point. The job requires someone to start within 1-2 months, and he's willing to start three months in advance, which is acceptable. His salary expectation is between 55k and 70k, and he's asking for training budget, which is a good sign.\n\nHis experience is 4 years as a backend developer with Java, Spring Boot, PostgreSQL. He led a pricing tool project and used Kafka POC. That shows he has relevant experience. He has a stable work history with no more than six months of career gap, which meets the requirement. He has a career with growth, which is good. \n\nLanguage skills are mentioned as Dutch (native) and English C1, which is required. He's product-oriented and interested in mentoring, which are positive traits. The resume is clear and professional, with no major grammar issues. \n\nThe feedback should highlight the strengths: experience, language skills, career growth, and willingness to start early. The weaknesses could be the career gap, though it's within six months, which is acceptable. Also, the resume doesn't mention specific projects or achievements in detail, which might be a bit lacking. The salary expectation is within the range, but the training budget might be a point to consider. \n\nI need to make sure the score is between 0 and 1. Since he meets all the requirements except maybe the career gap, but it's within six months, it's acceptable. The score might be 0.9 or 1.0. The feedback should note the strengths and the minor points like the career gap and lack of project details.\n"},"done":true,"done_reason":"stop","total_duration":4011127600,"load_duration":66093400,"prompt_eval_count":572,"prompt_eval_duration":73605200,"eval_count":532,"eval_duration":3739640600}

2026-01-18T18:12:09.315+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "user",
    "content" : "Create a short summary of the following conversation between one or more AI agents and a user.\nMention all the agents involved in the conversation.\nDo not provide any additional information, just the summary.\nThe user conversation is: 'User: \"请审查这份简历：约翰·多伊 – 后端工程师\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub，以及附带的电话面试记录：电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\n面试官：萨拉·雅各布斯 (HR)\n工作许可： 比利时公民；拥有欧盟工作许可。\n工作地点： 安特卫普；倾向每周3天远程办公。\n可入职时间： 需提前3个月通知；无需搬迁。\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\n\nYou must answer strictly in the following JSON format: {\n\"score\": (从0到1分你邀请这位应聘者参加面试的可能性; type: double),\n\"feedback\": (对简历的反馈，什么是好的，什么需要改进，什么技能缺失，什么危险信号……; type: string)\n}\"\nhrReviewer agent: \"\nCvReview:  - score = 0.9\n- feedback = \"John Doe meets all the job requirements with a stable 4-year career history and EU work permit. His technical experience (Java, Spring Boot, Kafka) and leadership in a pricing tool project align well with the role. Dutch/English C1 proficiency and product-oriented mindset are strong. The resume is clear and professional, with no major grammar issues. However, the career gap (1.5 years) is slightly above the 6-month limit, and the resume lacks specific project/achievement details. Salary expectations are within the required range, and the training budget request is acceptable. Minor improvements could include clarifying the career gap and adding more technical specifics.\"\n\"\n'.\n\nYou must answer strictly in the following JSON format: {\n\"summary\": (type: string)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:12:11.839+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-length: 1953], [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:11 GMT]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:11.8379799Z","message":{"role":"assistant","content":"{\n  \"summary\": \"HR reviewer evaluated John Doe's resume, noting his 4-year career history, EU work permit, and technical skills (Java, Spring Boot, Kafka) aligning with the role. The resume is clear but lacks specific project details and a career gap slightly exceeding the 6-month limit. Salary expectations are within range, and the training budget is acceptable. Minor improvements include clarifying the career gap and adding more technical specifics.\"\n}","thinking":"Okay, let's tackle this. The user wants a summary of the conversation between the HR reviewer agent and the user. The key points from the HR reviewer's feedback are that John Doe has a stable 4-year career history, EU work permit, technical skills in Java, Spring Boot, Kafka, leadership in a pricing tool project, and good language skills. The resume is clear but lacks specific project details and a career gap that's slightly over the 6-month limit. The salary expectations are within range, and the training budget is acceptable. The feedback mentions minor improvements like clarifying the career gap and adding more technical specifics.\n\nI need to make sure the summary includes all agents involved. The user and the HR reviewer are the main agents here. The user provided the resume and the interview details, and the HR reviewer gave the feedback. The summary should mention both the user and the HR reviewer. The score is 0.9 as per the HR reviewer's note. The feedback should highlight the strengths and areas for improvement. I need to avoid any additional info and stick to the JSON format as specified. Let me check the JSON structure again to ensure compliance.\n"},"done":true,"done_reason":"stop","total_duration":2520807100,"load_duration":89600500,"prompt_eval_count":559,"prompt_eval_duration":67339900,"eval_count":330,"eval_duration":2282299400}

////==================
人力资源审核员评估了约翰·多伊的简历，指出其有 4 年的职业经历、欧盟工作许可证以及与该职位相匹配的技术技能（Java、Spring Boot、Kafka）。简历清晰，但缺少具体的项目细节，且存在略超 6 个月的职涯空窗期。薪资期望在合理范围内，培训预算也可接受。需要改进的地方包括说明职涯空窗期的原因以及补充更多技术细节。用户和人力资源审核员是这里的两个主要角色。用户提供了简历和面试详情，而人力资源审核员给出了反馈。总结中应提及用户和人力资源审核员。根据人力资源审核员的备注，分数为 0.9。反馈应突出优点和需要改进的地方。我需要避免添加任何额外信息，并严格遵循指定的 JSON 格式。让我再次检查 JSON 结构以确保符合要求。
////==================

2026-01-18T18:12:11.841+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "You are a planner expert that is provided with a set of agents.\nYou know nothing about any domain, don't take any assumptions about the user request,\nthe only thing that you can do is rely on the provided agents.\n\nYour role is to analyze the user request and decide which one of the provided agents to call next to address it.\nYou return an agent invocation consisting of the name of the agent and the arguments to pass to it.\n\nIf no further agent requests are required, return an agentName of \"done\" and an argument named\n\"response\", where the value of the response argument is a recap of all the performed actions,\nwritten in the same language as the user request.\n\nAgents are provided with their name and description together with a list of applicable arguments\nin the format {'name', 'description', [argument1: type1, argument2: type2]}.\n\nDecide which agent to invoke next, doing things in small steps and\nnever taking any shortcuts or relying on your own knowledge.\nEven if the user's request is already clear or explicit, don't make any assumptions and use the agents.\nBe sure to query ALL necessary agents.\n\nThe comma separated list of available agents is: '{'hrReviewer$0', '审查简历以评估候选人是否符合HR要求，提供反馈和评分', [candidateCv: String, phoneInterviewNotes: String, hrRequirements: String]}, {'managerReviewer$1', '基于职位描述审查简历，提供反馈和评分', [candidateCv: String, jobDescription: String]}, {'teamMemberReviewer$2', '审查简历以评估候选人是否适合团队，提供反馈和评分', [candidateCv: String]}, {'organize$3', '为申请人安排现场面试', [candidateContact: String, jobDescription: String]}, {'send$4', '向未通过筛选的候选人发送拒绝邮件，返回已发送邮件的ID，若无法发送则返回0', [candidateContact: String, jobDescription: String]}'.\n\nUse the following supervisor context to better understand constraints, policies or preferences when creating the plan '始终使用所有可用的评审者。始终用中文回答。调用智能体时，使用纯JSON（无反引号，换行符使用反斜杠+n）。'.\n"
  }, {
    "role" : "user",
    "content" : "The user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: ''.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  }, {
    "role" : "assistant",
    "content" : "{\n\"agentName\": \"hrReviewer$0\",\n\"arguments\": {\n\"candidateCv\": \"约翰·多伊 – 后端工程师\\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\",\n\"phoneInterviewNotes\": \"电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\\n面试官：萨拉·雅各布斯 (HR)\\n工作许可： 比利时公民；拥有欧盟工作许可。\\n工作地点： 安特卫普；倾向每周3天远程办公。\\n可入职时间： 需提前3个月通知；无需搬迁。\\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\",\n\"hrRequirements\": \"## HR招聘要求\\n- 姓名和联系方式必须清晰完整。\\n- 必须在比利时/欧盟有合法工作许可。\\n- 最好能在1-2个月内入职。\\n- 薪资期望在55,000-70,000欧元/年范围内。\\n- 稳定的工作历史；无超过6个月的职业空白期。\\n- 每个职位至少任职1年，且具有相关科技行业经验。\\n- 职业生涯中职责范围的增长是可取的。\\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\\n- 简历需清晰、专业；无重大语法问题。\\n- 具备团队合作、指导他人和产品导向经验者优先。\"\n}\n}",
    "tool_calls" : [ ]
  }, {
    "role" : "user",
    "content" : "Considering this context \"HR reviewer evaluated John Doe's resume, noting his 4-year career history, EU work permit, and technical skills (Java, Spring Boot, Kafka) aligning with the role. The resume is clear but lacks specific project details and a career gap slightly exceeding the 6-month limit. Salary expectations are within range, and the training budget is acceptable. Minor improvements include clarifying the career gap and adding more technical specifics.\"\nThe user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: '\nCvReview:  - score = 0.9\n- feedback = \"John Doe meets all the job requirements with a stable 4-year career history and EU work permit. His technical experience (Java, Spring Boot, Kafka) and leadership in a pricing tool project align well with the role. Dutch/English C1 proficiency and product-oriented mindset are strong. The resume is clear and professional, with no major grammar issues. However, the career gap (1.5 years) is slightly above the 6-month limit, and the resume lacks specific project/achievement details. Salary expectations are within the required range, and the training budget request is acceptable. Minor improvements could include clarifying the career gap and adding more technical specifics.\"\n'.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:12:16.007+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:16 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:16.0067596Z","message":{"role":"assistant","content":"{\n\"agentName\": \"organize$3\",\n\"arguments\": {\n\"candidateContact\": \"john.doe.dev@protonmail.com\",\n\"jobDescription\": \"后端工程师（金融科技，安特卫普）\"\n}\n}","thinking":"Okay, let's see. The user has provided a detailed scenario where they need to evaluate a candidate's resume. The candidate is John Doe, a backend engineer. The HR reviewer has already assessed his resume, and the last response from the system was a score of 0.9 with specific feedback.\n\nNow, the user's current request is to assess the candidate based on the provided context. The previous step already handled the HR reviewer's evaluation, so the next step would be to determine if any further actions are needed. \n\nLooking at the agents available, there's the 'organize$3' agent which is for arranging an in-person interview. The candidate's contact information is provided, and the job description is available. Since the HR review was done and the score is high, maybe organizing an interview is the next step. \n\nBut wait, the user's last response was from the HR reviewer, and the system already provided the feedback. The user might want to proceed to the next step, like scheduling an interview. The 'organize$3' agent requires candidateContact and jobDescription. The candidate's contact is given, and the job description is also provided. So, calling 'organize$3' makes sense here. \n\nAlternatively, maybe the system should check if all necessary agents have been called. The initial step was HR review, then organizing an interview. The next step would be to arrange the interview. So, the agent to call is 'organize$3' with the candidate's contact and job description. \n\nAlso, the user's instruction says to use the agents provided and not make assumptions. Since the HR review was done and the feedback was given, the next logical step is to organize the interview. Therefore, the correct agent to call is 'organize$3' with the provided contact and job description.\n"},"done":true,"done_reason":"stop","total_duration":4163508700,"load_duration":96856500,"prompt_eval_count":3325,"prompt_eval_duration":428487900,"eval_count":425,"eval_duration":3523097600}

2026-01-18T18:12:16.008+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.a.supervisor.SupervisorPlanner       : Agent Invocation: AgentInvocation{agentName='organize$3', arguments={candidateContact=john.doe.dev@protonmail.com, jobDescription=后端工程师（金融科技，安特卫普）}}
2026-01-18T18:12:16.010+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/embed
- headers: [Content-Type: application/json]
- body: {
  "model" : "nomic-embed-text:latest",
  "input" : [ "为此候选人安排现场面试会议（需遵守外部访客政策）：john.doe.dev@protonmail.com\n" ]
}

2026-01-18T18:12:16.028+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:16 GMT], [transfer-encoding: chunked]
- body: {"model":"nomic-embed-text:latest","embeddings":[[0.004548843,0.07224631,...-0.04638867]],"total_duration":16649400,"load_duration":9624000,"prompt_eval_count":39}

2026-01-18T18:12:16.034+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "您通过向所有相关员工发送日历邀请来安排现场会议，\n时间定在从当前日期起一周后的上午，时长为3小时。\n这是相关的职位空缺：后端工程师（金融科技，安特卫普）\n您还需通过祝贺邮件邀请候选人，告知面试详情，\n以及他/她来现场前需要注意的事项。\n最后，您需要将申请状态更新为“已邀请现场面试”。\n"
  }, {
    "role" : "user",
    "content" : "为此候选人安排现场面试会议（需遵守外部访客政策）：john.doe.dev@protonmail.com\n\n\nAnswer using the following information:\n1.仅允许在停车场后方指定户外区域吸烟。\r\n2.办公区安静时段为下午2点至4点，请避免在开放空间大声交谈。\r\n3.员工须至少提前24小时通过内部日历预订会议室。\r\n4.自行车必须停放在主楼外侧的专用自行车停放区。\r\n5.所有外部访客须凭有效身份证件在前台登记方可进入。\r\n6.外部访客均须佩戴临时访客证，并确保证件清晰可见。"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ {
    "type" : "function",
    "function" : {
      "name" : "getInvolvedEmployeesForInterview",
      "description" : "根据给定的职位描述ID，查找需要参加现场面试的人员的电子邮件地址和姓名",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "createCalendarEntry",
      "description" : "根据电子邮件地址为员工创建日程条目",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "updateApplicationStatus",
      "description" : "根据给定的职位描述ID、候选人姓名和新状态，更新申请状态",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "getCurrentDate",
      "description" : "获取当前日期"
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "sendEmail",
      "description" : "根据给定的收件人、抄送、主题和正文，发送中文电子邮件。返回虚拟邮件ID。",
      "parameters" : {
       ...
      }
    }
  } ]
}

2026-01-18T18:12:21.937+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:21 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:21.9365154Z","message":{"role":"assistant","content":"","thinking":"Okay, let's see. The user wants to arrange a site interview for John Doe, who's applying for a backend engineer position at the fintech company in Antwerp. The steps involved are sending a calendar invitation, sending a congratulatory email, noting the pre-meeting instructions, and updating the application status.\n\nFirst, I need to get the list of employees who need to attend the interview. The function getInvolvedEmployeesForInterview is required here. The jobDescriptionId is given as \"后端工程师（金融科技，安特卫普）\". So I'll call that function to fetch the emails and names of the employees.\n\nOnce I have the list, I need to create a calendar entry for each of them. The start time is one week from today, which is 2023-10-15 (assuming today is 2023-10-14). The end time is 3 hours later, so 2023-10-15 09:00. The topic is \"现场面试会议\". The email addresses are the ones retrieved from the function.\n\nThen, send a congratulatory email to John. The subject should be something like \"面试邀请 - 后端工程师职位\". The body should include the details of the interview, the parking instructions, and the pre-meeting notes. Also, mention the temporary visitor card and ID requirements.\n\nFinally, update the application status to \"已邀请现场面试\" using the updateApplicationStatus function. The jobDescriptionId is the same, candidateName is John.doe.dev@protonmail.com, and newStatus is \"已邀请现场面试\".\n\nI need to make sure all the guidelines about parking, noise, and visitor policies are included in the email. Also, check that the calendar entries are set correctly with the specified time and location. The external visitor policy is important here, so the email should remind John to bring his ID and visitor card.\n","tool_calls":[{"id":"call_ffyy6uul","function":{"index":0,"name":"getInvolvedEmployeesForInterview","arguments":{"emailAddress":["john.doe.dev@protonmail.com"],"end":"2023-10-15 12:00","start":"2023-10-15 09:00","topic":"现场面试会议"}}},{"id":"call_5s8ef61s","function":{"index":1,"name":"sendEmail","arguments":{"body":"尊敬的John, 您已被邀请参加后端工程师职位现场面试，时间定于2023-10-15 09:00-12:00。请遵守以下规定：\n1. 请在停车场后方指定区域吸烟\n2. 办公区下午2点-4点保持安静\n3. 请提前24小时通过内部日历预订会议室\n4. 自行车停放在主楼外侧专用区域\n5. 外部访客需凭有效证件登记并佩戴临时访客证\n6. 请携带身份证件及访客证至前台登记\n面试期间请勿在开放空间大声交谈","cc":[],"subject":"面试邀请 - 后端工程师职位","to":["john.doe.dev@protonmail.com"]}}}]},"done":true,"done_reason":"stop","total_duration":5900940300,"load_duration":57972500,"prompt_eval_count":763,"prompt_eval_duration":88904900,"eval_count":775,"eval_duration":5585390500}

*** 已发送邮件 ***
收件人：[john.doe.dev@protonmail.com]
抄送：[]
主题：面试邀请 - 后端工程师职位
正文：尊敬的John, 您已被邀请参加后端工程师职位现场面试，时间定于2023-10-15 09:00-12:00。请遵守以下规定：
1. 请在停车场后方指定区域吸烟
2. 办公区下午2点-4点保持安静
3. 请提前24小时通过内部日历预订会议室
4. 自行车停放在主楼外侧专用区域
5. 外部访客需凭有效证件登记并佩戴临时访客证
6. 请携带身份证件及访客证至前台登记
面试期间请勿在开放空间大声交谈
2026-01-18T18:12:21.948+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "您通过向所有相关员工发送日历邀请来安排现场会议，\n时间定在从当前日期起一周后的上午，时长为3小时。\n这是相关的职位空缺：后端工程师（金融科技，安特卫普）\n您还需通过祝贺邮件邀请候选人，告知面试详情，\n以及他/她来现场前需要注意的事项。\n最后，您需要将申请状态更新为“已邀请现场面试”。\n"
  }, {
    "role" : "user",
    "content" : "为此候选人安排现场面试会议（需遵守外部访客政策）：john.doe.dev@protonmail.com\n\n\nAnswer using the following information:\n1.仅允许在停车场后方指定户外区域吸烟。\r\n2.办公区安静时段为下午2点至4点，请避免在开放空间大声交谈。\r\n3.员工须至少提前24小时通过内部日历预订会议室。\r\n4.自行车必须停放在主楼外侧的专用自行车停放区。\r\n5.所有外部访客须凭有效身份证件在前台登记方可进入。\r\n6.外部访客均须佩戴临时访客证，并确保证件清晰可见。"
  }, {
    "role" : "assistant",
    "tool_calls" : [ {
      "function" : {
        "name" : "getInvolvedEmployeesForInterview",
        "arguments" : {
          "emailAddress" : [ "john.doe.dev@protonmail.com" ],
          "start" : "2023-10-15 09:00",
          "topic" : "现场面试会议",
          "end" : "2023-10-15 12:00"
        }
      }
    }, {
      "function" : {
        "name" : "sendEmail",
        "arguments" : {
          "cc" : [ ],
          "subject" : "面试邀请 - 后端工程师职位",
          "to" : [ "john.doe.dev@protonmail.com" ],
          "body" : "尊敬的John, 您已被邀请参加后端工程师职位现场面试，时间定于2023-10-15 09:00-12:00。请遵守以下规定：\n1. 请在停车场后方指定区域吸烟\n2. 办公区下午2点-4点保持安静\n3. 请提前24小时通过内部日历预订会议室\n4. 自行车停放在主楼外侧专用区域\n5. 外部访客需凭有效证件登记并佩戴临时访客证\n6. 请携带身份证件及访客证至前台登记\n面试期间请勿在开放空间大声交谈"
        }
      }
    } ]
  }, {
    "role" : "tool",
    "content" : "[ \"Anna Bolena: hiring.manager@company.com\", \"Chris Durue: near.colleague@company.com\", \"Esther Finnigan: vp@company.com\" ]"
  }, {
    "role" : "tool",
    "content" : "1234"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ {
    "type" : "function",
    "function" : {
      "name" : "getInvolvedEmployeesForInterview",
      "description" : "根据给定的职位描述ID，查找需要参加现场面试的人员的电子邮件地址和姓名",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "createCalendarEntry",
      "description" : "根据电子邮件地址为员工创建日程条目",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "updateApplicationStatus",
      "description" : "根据给定的职位描述ID、候选人姓名和新状态，更新申请状态",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "getCurrentDate",
      "description" : "获取当前日期"
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "sendEmail",
      "description" : "根据给定的收件人、抄送、主题和正文，发送中文电子邮件。返回虚拟邮件ID。",
      "parameters" : {
        ...
      }
    }
  } ]
}

2026-01-18T18:12:26.144+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:26 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:26.1434584Z","message":{"role":"assistant","content":"","thinking":"好的，现在需要处理用户的问题，即为候选人安排现场面试并发送相关邮件。首先，用户提供了候选人的邮箱地址john.doe.dev@protonmail.com，并且需要根据职位描述ID来安排会议。\n\n首先，我需要确认是否有相关的职位空缺信息。用户提到的职位是后端工程师（金融科技，安特卫普），所以需要调用getInvolvedEmployeesForInterview函数，根据职位描述ID来查找需要参加面试的员工。不过，用户可能没有提供具体的职位描述ID，但根据问题中的职位名称，可能需要假设一个ID，或者可能系统已经自动处理了这个步骤。不过根据之前的工具调用，用户可能已经执行了这个步骤，并且返回了相关的员工列表。\n\n接下来，需要安排会议时间。用户提到时间定在一周后，即当前日期之后的一周上午，假设当前日期是2023-10-14，那么会议时间应该是2023-10-15 09:00-12:00。需要调用createCalendarEntry函数，将这个时间安排到候选人的日历中，并且确保符合外部访客政策，比如在停车场后方指定区域吸烟，办公区安静时段等。\n\n然后，发送祝贺邮件给候选人，告知面试详情以及注意事项。需要使用sendEmail函数，将会议时间和注意事项包含在邮件中，同时确保邮件内容符合规定，比如提醒候选人携带证件、佩戴访客证等。\n\n最后，更新申请状态为“已邀请现场面试”，使用updateApplicationStatus函数，传入职位描述ID、候选人姓名和新状态。\n\n需要注意的事项包括：外部访客政策，如必须登记、佩戴证件等，这些需要在邮件中明确说明。同时，确保所有时间安排和地点符合规定，比如提前预订会议室，自行车停放区等。\n\n现在，检查之前的工具调用是否正确。用户之前的工具调用中，首先调用了getInvolvedEmployeesForInterview，返回了三个员工的邮箱地址，然后发送了邮件，并得到了一个邮件ID1234。现在需要根据这些信息继续处理。\n\n可能的步骤是：确认员工名单，安排会议时间，发送邮件，并更新申请状态。需要确保所有步骤都符合外部访客政策，比如在邮件中列出所有规定，并提醒候选人遵守。\n","tool_calls":[{"id":"call_xctx9j2p","function":{"index":0,"name":"updateApplicationStatus","arguments":{"candidateName":"John Doe","jobDescriptionId":"JD-FT-AN-2023","newStatus":"已邀请现场面试"}}}]},"done":true,"done_reason":"stop","total_duration":4193542700,"load_duration":79992200,"prompt_eval_count":1088,"prompt_eval_duration":44602900,"eval_count":541,"eval_duration":3921054400}

*** 已更新申请状态 ***
职位描述ID：JD-FT-AN-2023
候选人姓名：John Doe
新状态：已邀请现场面试
2026-01-18T18:12:26.146+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "您通过向所有相关员工发送日历邀请来安排现场会议，\n时间定在从当前日期起一周后的上午，时长为3小时。\n这是相关的职位空缺：后端工程师（金融科技，安特卫普）\n您还需通过祝贺邮件邀请候选人，告知面试详情，\n以及他/她来现场前需要注意的事项。\n最后，您需要将申请状态更新为“已邀请现场面试”。\n"
  }, {
    "role" : "user",
    "content" : "为此候选人安排现场面试会议（需遵守外部访客政策）：john.doe.dev@protonmail.com\n\n\nAnswer using the following information:\n1.仅允许在停车场后方指定户外区域吸烟。\r\n2.办公区安静时段为下午2点至4点，请避免在开放空间大声交谈。\r\n3.员工须至少提前24小时通过内部日历预订会议室。\r\n4.自行车必须停放在主楼外侧的专用自行车停放区。\r\n5.所有外部访客须凭有效身份证件在前台登记方可进入。\r\n6.外部访客均须佩戴临时访客证，并确保证件清晰可见。"
  }, {
    "role" : "assistant",
    "tool_calls" : [ {
      "function" : {
        "name" : "getInvolvedEmployeesForInterview",
        "arguments" : {
          "emailAddress" : [ "john.doe.dev@protonmail.com" ],
          "start" : "2023-10-15 09:00",
          "topic" : "现场面试会议",
          "end" : "2023-10-15 12:00"
        }
      }
    }, {
      "function" : {
        "name" : "sendEmail",
        "arguments" : {
          "cc" : [ ],
          "subject" : "面试邀请 - 后端工程师职位",
          "to" : [ "john.doe.dev@protonmail.com" ],
          "body" : "尊敬的John, 您已被邀请参加后端工程师职位现场面试，时间定于2023-10-15 09:00-12:00。请遵守以下规定：\n1. 请在停车场后方指定区域吸烟\n2. 办公区下午2点-4点保持安静\n3. 请提前24小时通过内部日历预订会议室\n4. 自行车停放在主楼外侧专用区域\n5. 外部访客需凭有效证件登记并佩戴临时访客证\n6. 请携带身份证件及访客证至前台登记\n面试期间请勿在开放空间大声交谈"
        }
      }
    } ]
  }, {
    "role" : "tool",
    "content" : "[ \"Anna Bolena: hiring.manager@company.com\", \"Chris Durue: near.colleague@company.com\", \"Esther Finnigan: vp@company.com\" ]"
  }, {
    "role" : "tool",
    "content" : "1234"
  }, {
    "role" : "assistant",
    "tool_calls" : [ {
      "function" : {
        "name" : "updateApplicationStatus",
        "arguments" : {
          "candidateName" : "John Doe",
          "newStatus" : "已邀请现场面试",
          "jobDescriptionId" : "JD-FT-AN-2023"
        }
      }
    } ]
  }, {
    "role" : "tool",
    "content" : "Success"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ {
    "type" : "function",
    "function" : {
      "name" : "getInvolvedEmployeesForInterview",
      "description" : "根据给定的职位描述ID，查找需要参加现场面试的人员的电子邮件地址和姓名",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "createCalendarEntry",
      "description" : "根据电子邮件地址为员工创建日程条目",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "updateApplicationStatus",
      "description" : "根据给定的职位描述ID、候选人姓名和新状态，更新申请状态",
      "parameters" : {
       ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "getCurrentDate",
      "description" : "获取当前日期"
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "sendEmail",
      "description" : "根据给定的收件人、抄送、主题和正文，发送中文电子邮件。返回虚拟邮件ID。",
      "parameters" : {
       ...
      }
    }
  } ]
}

2026-01-18T18:12:28.949+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-length: 1882], [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:28 GMT]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:28.9483046Z","message":{"role":"assistant","content":"已成功安排现场面试：\n1. 时间：2023-10-15 09:00-12:00\n2. 地点：公司主楼（需遵守外部访客政策）\n3. 注意事项：\n   - 请携带身份证件及访客证至前台登记\n   - 会议期间禁止在开放空间大声交谈\n   - 请提前24小时通过内部日历预订会议室\n   - 外部访客须佩戴临时访客证并出示有效证件\n4. 申请状态已更新为\"已邀请现场面试\" \n\n请John于10月14日24小时前通过内部日历完成会议室预订。","thinking":"Okay, let's see. The user wants to schedule a site interview for John Doe for the backend engineer position. They need to send a calendar invitation and a congratulatory email, plus update the application status.\n\nFirst, I called getInvolvedEmployeesForInterview to get John's email. Then sent an email with the calendar entry using sendEmail, including all the guidelines about smoking, quiet hours, booking meetings, bike parking, and visitor credentials. The response from that tool was a success.\n\nThen, updated the application status to \"已邀请现场面试\" using updateApplicationStatus. The tool response was successful.\n\nNow, the user probably needs a confirmation that everything is set. So, I should summarize the steps taken, confirm the interview details, and maybe remind John to bring his ID and visitor card. Also, ensure the status is updated correctly. Let me check the tools again to make sure all steps were covered. Yep, all the functions were called appropriately. The final answer should be a concise confirmation with the details.\n"},"done":true,"done_reason":"stop","total_duration":2800358200,"load_duration":60152900,"prompt_eval_count":1147,"prompt_eval_duration":14139100,"eval_count":361,"eval_duration":2617303000}

2026-01-18T18:12:28.951+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "user",
    "content" : "Create a short summary of the following conversation between one or more AI agents and a user.\nMention all the agents involved in the conversation.\nDo not provide any additional information, just the summary.\nThe user conversation is: 'User: \"请审查这份简历：约翰·多伊 – 后端工程师\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub，以及附带的电话面试记录：电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\n面试官：萨拉·雅各布斯 (HR)\n工作许可： 比利时公民；拥有欧盟工作许可。\n工作地点： 安特卫普；倾向每周3天远程办公。\n可入职时间： 需提前3个月通知；无需搬迁。\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\n\nYou must answer strictly in the following JSON format: {\n\"score\": (从0到1分你邀请这位应聘者参加面试的可能性; type: double),\n\"feedback\": (对简历的反馈，什么是好的，什么需要改进，什么技能缺失，什么危险信号……; type: string)\n}\"\nhrReviewer agent: \"\nCvReview:  - score = 0.9\n- feedback = \"John Doe meets all the job requirements with a stable 4-year career history and EU work permit. His technical experience (Java, Spring Boot, Kafka) and leadership in a pricing tool project align well with the role. Dutch/English C1 proficiency and product-oriented mindset are strong. The resume is clear and professional, with no major grammar issues. However, the career gap (1.5 years) is slightly above the 6-month limit, and the resume lacks specific project/achievement details. Salary expectations are within the required range, and the training budget request is acceptable. Minor improvements could include clarifying the career gap and adding more technical specifics.\"\n\"\nUser: \"为此候选人安排现场面试会议（需遵守外部访客政策）：john.doe.dev@protonmail.com\n\n\nAnswer using the following information:\n1.仅允许在停车场后方指定户外区域吸烟。\r\n2.办公区安静时段为下午2点至4点，请避免在开放空间大声交谈。\r\n3.员工须至少提前24小时通过内部日历预订会议室。\r\n4.自行车必须停放在主楼外侧的专用自行车停放区。\r\n5.所有外部访客须凭有效身份证件在前台登记方可进入。\r\n6.外部访客均须佩戴临时访客证，并确保证件清晰可见。\"\norganize agent: \"已成功安排现场面试：\n1. 时间：2023-10-15 09:00-12:00\n2. 地点：公司主楼（需遵守外部访客政策）\n3. 注意事项：\n   - 请携带身份证件及访客证至前台登记\n   - 会议期间禁止在开放空间大声交谈\n   - 请提前24小时通过内部日历预订会议室\n   - 外部访客须佩戴临时访客证并出示有效证件\n4. 申请状态已更新为\"已邀请现场面试\" \n\n请John于10月14日24小时前通过内部日历完成会议室预订。\"\n'.\n\nYou must answer strictly in the following JSON format: {\n\"summary\": (type: string)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:12:33.036+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:33 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:33.0358671Z","message":{"role":"assistant","content":"{\n  \"summary\": \"HRReviewer agent provided a score of 0.9 and feedback highlighting John Doe's strong technical skills, career stability, and language proficiency, with minor issues like career gap and lack of project details. Organize agent confirmed the interview schedule and adherence to external visitor policies, ensuring proper booking and access.\"\n}","thinking":"Okay, let's tackle this query. The user provided a conversation between an HR reviewer and an organize agent, along with some rules for a site visit. They want a summary of the conversation, mentioning all agents involved and using the specified JSON format.\n\nFirst, I need to identify the agents. The HRReviewer and the Organize Agent are the main ones here. The user's message includes the HR reviewer's feedback and the organize agent's confirmation of the interview setup. The rules about the site visit are part of the organize agent's response.\n\nThe summary should include the score and feedback from the HR reviewer. The score is 0.9 as per the HR reviewer's note. The feedback mentions the career gap, lack of project details, but overall positive points. The organize agent confirms the interview details, so that's included in the summary. The rules about the site visit are part of the feedback, but since the user's question is about the conversation between the agents, maybe those rules aren't part of the feedback. Wait, the user's instruction says to mention all agents involved. The HR reviewer and the organize agent are both involved. The feedback from the HR reviewer is the main part, and the organize agent's response is the summary of the interview setup.\n\nSo the summary should include the HR reviewer's score and feedback, and the organize agent's confirmation of the interview. The rules about the site visit are part of the organize agent's response, but the user's question is about the conversation between the agents, so those rules are part of the organize agent's message. Therefore, the summary should include the HR reviewer's feedback and the organize agent's confirmation. The rules are part of the organize agent's response, but the user's JSON requires just the summary of the conversation between the agents, which is the HR reviewer's feedback and the organize agent's confirmation. The rules are not part of the feedback but are part of the organize agent's message. So the summary should include the score and feedback from the HR reviewer, and the organize agent's confirmation of the interview. The user's answer must be in JSON with \"summary\" as a string, so the summary would be a concatenation of the HR reviewer's feedback and the organize agent's confirmation.\n"},"done":true,"done_reason":"stop","total_duration":4083645100,"load_duration":60131300,"prompt_eval_count":852,"prompt_eval_duration":104288900,"eval_count":528,"eval_duration":3792078000}

2026-01-18T18:12:33.037+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "You are a planner expert that is provided with a set of agents.\nYou know nothing about any domain, don't take any assumptions about the user request,\nthe only thing that you can do is rely on the provided agents.\n\nYour role is to analyze the user request and decide which one of the provided agents to call next to address it.\nYou return an agent invocation consisting of the name of the agent and the arguments to pass to it.\n\nIf no further agent requests are required, return an agentName of \"done\" and an argument named\n\"response\", where the value of the response argument is a recap of all the performed actions,\nwritten in the same language as the user request.\n\nAgents are provided with their name and description together with a list of applicable arguments\nin the format {'name', 'description', [argument1: type1, argument2: type2]}.\n\nDecide which agent to invoke next, doing things in small steps and\nnever taking any shortcuts or relying on your own knowledge.\nEven if the user's request is already clear or explicit, don't make any assumptions and use the agents.\nBe sure to query ALL necessary agents.\n\nThe comma separated list of available agents is: '{'hrReviewer$0', '审查简历以评估候选人是否符合HR要求，提供反馈和评分', [candidateCv: String, phoneInterviewNotes: String, hrRequirements: String]}, {'managerReviewer$1', '基于职位描述审查简历，提供反馈和评分', [candidateCv: String, jobDescription: String]}, {'teamMemberReviewer$2', '审查简历以评估候选人是否适合团队，提供反馈和评分', [candidateCv: String]}, {'organize$3', '为申请人安排现场面试', [candidateContact: String, jobDescription: String]}, {'send$4', '向未通过筛选的候选人发送拒绝邮件，返回已发送邮件的ID，若无法发送则返回0', [candidateContact: String, jobDescription: String]}'.\n\nUse the following supervisor context to better understand constraints, policies or preferences when creating the plan '始终使用所有可用的评审者。始终用中文回答。调用智能体时，使用纯JSON（无反引号，换行符使用反斜杠+n）。'.\n"
  }, {
    "role" : "user",
    "content" : "The user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: ''.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  }, {
    "role" : "assistant",
    "content" : "{\n\"agentName\": \"hrReviewer$0\",\n\"arguments\": {\n\"candidateCv\": \"约翰·多伊 – 后端工程师\\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\",\n\"phoneInterviewNotes\": \"电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\\n面试官：萨拉·雅各布斯 (HR)\\n工作许可： 比利时公民；拥有欧盟工作许可。\\n工作地点： 安特卫普；倾向每周3天远程办公。\\n可入职时间： 需提前3个月通知；无需搬迁。\\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\",\n\"hrRequirements\": \"## HR招聘要求\\n- 姓名和联系方式必须清晰完整。\\n- 必须在比利时/欧盟有合法工作许可。\\n- 最好能在1-2个月内入职。\\n- 薪资期望在55,000-70,000欧元/年范围内。\\n- 稳定的工作历史；无超过6个月的职业空白期。\\n- 每个职位至少任职1年，且具有相关科技行业经验。\\n- 职业生涯中职责范围的增长是可取的。\\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\\n- 简历需清晰、专业；无重大语法问题。\\n- 具备团队合作、指导他人和产品导向经验者优先。\"\n}\n}",
    "tool_calls" : [ ]
  }, {
    "role" : "user",
    "content" : "The user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: '\nCvReview:  - score = 0.9\n- feedback = \"John Doe meets all the job requirements with a stable 4-year career history and EU work permit. His technical experience (Java, Spring Boot, Kafka) and leadership in a pricing tool project align well with the role. Dutch/English C1 proficiency and product-oriented mindset are strong. The resume is clear and professional, with no major grammar issues. However, the career gap (1.5 years) is slightly above the 6-month limit, and the resume lacks specific project/achievement details. Salary expectations are within the required range, and the training budget request is acceptable. Minor improvements could include clarifying the career gap and adding more technical specifics.\"\n'.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  }, {
    "role" : "assistant",
    "content" : "{\n\"agentName\": \"organize$3\",\n\"arguments\": {\n\"candidateContact\": \"john.doe.dev@protonmail.com\",\n\"jobDescription\": \"后端工程师（金融科技，安特卫普）\"\n}\n}",
    "tool_calls" : [ ]
  }, {
    "role" : "user",
    "content" : "Considering this context \"HRReviewer agent provided a score of 0.9 and feedback highlighting John Doe's strong technical skills, career stability, and language proficiency, with minor issues like career gap and lack of project details. Organize agent confirmed the interview schedule and adherence to external visitor policies, ensuring proper booking and access.\"\nThe user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: '已成功安排现场面试：\n1. 时间：2023-10-15 09:00-12:00\n2. 地点：公司主楼（需遵守外部访客政策）\n3. 注意事项：\n   - 请携带身份证件及访客证至前台登记\n   - 会议期间禁止在开放空间大声交谈\n   - 请提前24小时通过内部日历预订会议室\n   - 外部访客须佩戴临时访客证并出示有效证件\n4. 申请状态已更新为\"已邀请现场面试\" \n\n请John于10月14日24小时前通过内部日历完成会议室预订。'.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:12:38.102+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:38 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:38.1013988Z","message":{"role":"assistant","content":"{\n\"agentName\": \"send$4\",\n\"arguments\": {\n\"candidateContact\": \"john.doe.dev@protonmail.com\",\n\"jobDescription\": \"后端工程师（金融科技，安特卫普）\"\n}\n}","thinking":"Okay, let's see. The user has provided a detailed scenario where they need to assess a candidate. The candidate's resume was reviewed by the HR reviewer, who gave a score of 0.9 with some feedback. The organize agent was used to book a in-person interview, which was successful. Now, the user's next request is to evaluate the candidate based on the provided context.\n\nFirst, I need to check which agents are available. The agents include hrReviewer, managerReviewer, teamMemberReviewer, organize, and send. Since the HR reviewer already did the initial assessment, maybe the next step is to send a rejection email if the candidate doesn't meet all requirements. But wait, the HR reviewer's feedback mentioned minor issues like a career gap and lack of project details. The candidate's career gap is 1.5 years, which is slightly over the 6-month limit. Also, the resume lacks specific project/achievement details. The salary expectations are within the range, and the training budget is acceptable.\n\nSo, the HR requirements mention a stable work history with no more than 6 months of gap. The candidate has 1.5 years of experience, which is slightly over. The career gap is a minor issue. The resume isn't perfect but meets most requirements. The salary is acceptable. The other points like language skills, technical skills, and project experience are strong.\n\nSince the candidate meets most of the requirements except for the career gap and project details, maybe the next step is to send a rejection email if the career gap is too large. But the user's last response was about organizing the interview, and the current task is to evaluate the candidate. The user might want to check if the candidate should be rejected due to the career gap. However, the HR reviewer's feedback was positive but with minor issues. The user might want to confirm if the candidate should proceed or be rejected.\n\nLooking at the available agents, the send agent is for sending rejection emails. The arguments require candidateContact and jobDescription. The candidate's contact is john.doe.dev@protonmail.com, and the job description is the one listed. So, the next agent to call would be send$4 with those arguments. The response should recap the actions taken, including the HR review and the interview scheduling.\n"},"done":true,"done_reason":"stop","total_duration":5063215400,"load_duration":76138500,"prompt_eval_count":3504,"prompt_eval_duration":447879500,"eval_count":519,"eval_duration":4357236400}

2026-01-18T18:12:38.102+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.a.supervisor.SupervisorPlanner       : Agent Invocation: AgentInvocation{agentName='send$4', arguments={candidateContact=john.doe.dev@protonmail.com, jobDescription=后端工程师（金融科技，安特卫普）}}
2026-01-18T18:12:38.106+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "您需要向未通过第一轮评审的求职候选人发送一封友好的邮件。\n同时，您需要将申请状态更新为“已拒绝”。\n您应返回已发送邮件的ID。\n"
  }, {
    "role" : "user",
    "content" : "被拒候选人：john.doe.dev@protonmail.com\n\n申请职位：后端工程师（金融科技，安特卫普）\n\nYou must answer strictly in the following format: integer number"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ {
    "type" : "function",
    "function" : {
      "name" : "getInvolvedEmployeesForInterview",
      "description" : "根据给定的职位描述ID，查找需要参加现场面试的人员的电子邮件地址和姓名",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "createCalendarEntry",
      "description" : "根据电子邮件地址为员工创建日程条目",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "updateApplicationStatus",
      "description" : "根据给定的职位描述ID、候选人姓名和新状态，更新申请状态",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "getCurrentDate",
      "description" : "获取当前日期"
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "sendEmail",
      "description" : "根据给定的收件人、抄送、主题和正文，发送中文电子邮件。返回虚拟邮件ID。",
      "parameters" : {
        ...
      }
    }
  } ]
}

2026-01-18T18:12:52.551+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:52 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:52.5499567Z","message":{"role":"assistant","content":"","thinking":"Okay, let's see. The user wants to send a friendly email to a candidate who was rejected and update the application status to \"已拒绝\". They need to return the email ID sent.\n\nFirst, I need to find the candidate's details. The candidate is John Doe, email is john.doe.dev@protonmail.com. The job description ID is probably related to the position \"后端工程师（金融科技，安特卫普）\". But the tools provided include a function getInvolvedEmployeesForInterview which takes a jobDescriptionId. However, the user hasn't provided the actual job description ID. Wait, the user mentioned the position but not the ID. Hmm, maybe I need to check if there's a way to get the job description ID. But the tools don't have a function to retrieve the ID unless it's provided. Wait, the user might have given the position, but the actual jobDescriptionId is unknown. But the function requires the jobDescriptionId as a parameter. Since the user hasn't provided it, maybe I need to proceed with the assumption that the jobDescriptionId is known, but in reality, it's not given here. Wait, the user's message says \"申请职位：后端工程师（金融科技，安特卫普）\" which is the position, but the jobDescriptionId is needed for the function. Since the user hasn't provided it, perhaps I need to proceed with a placeholder or assume it's available. But according to the tools, the function requires the jobDescriptionId. Since it's not provided, maybe the user expects me to use a default value or there's a way to get it. Wait, maybe the jobDescriptionId is part of the position description. But the user hasn't given it. This is a problem. However, the user might have intended that the jobDescriptionId is known, but in the scenario, it's not provided. So perhaps I need to proceed with the available info, but since the function requires the jobDescriptionId, I can't call it without it. Wait, but the user might have expected that the jobDescriptionId is already known. Alternatively, maybe the function can be called with a placeholder. But the tools require the jobDescriptionId as a parameter. So, perhaps the user expects that the jobDescriptionId is available, but in the absence of it, I can't proceed. However, the user might have provided it elsewhere, but in this case, it's not. This is a conflict. But since the user hasn't provided the jobDescriptionId, maybe I need to proceed with the assumption that it's available, or perhaps there's a way to get it. Wait, the user's message includes the position, but not the jobDescriptionId. So, maybe the function can't be called without it. But the user is asking to send the email and update the status, so perhaps the jobDescriptionId is already known. Alternatively, maybe the function can be called with a default value. But without the actual ID, I can't proceed. This is a problem. However, the user might have intended that the jobDescriptionId is available, and perhaps I should proceed. Let me check the tools again. The getInvolvedEmployeesForInterview function requires the jobDescriptionId. Since the user hasn't provided it, maybe I need to proceed with a placeholder. But in the context of the problem, perhaps the jobDescriptionId is known. Alternatively, maybe the user expects that the function can be called with a default value. But without the actual ID, I can't. Therefore, maybe the correct approach is to call the updateApplicationStatus function with the given candidate name, jobDescriptionId (assuming it's provided), and new status. But since the user hasn't given the jobDescriptionId, perhaps I need to proceed with the available info. Wait, the user's message includes the position, but not the jobDescriptionId. So, maybe the jobDescriptionId is not provided here. Therefore, I can't call the function. But the user is asking to send the email and update the status. So, perhaps the jobDescriptionId is already known, and the user expects that the function can be called. But without the actual ID, I can't. This is a dead end. However, the user might have intended that the jobDescriptionId is available, and perhaps the function can be called with a placeholder. But the tools require the jobDescriptionId as a parameter. Therefore, I need to make an assumption. Let's assume that the jobDescriptionId is \"JD12345\" for example. Then, proceed to call the updateApplicationStatus function with the candidate name, jobDescriptionId, and new status. Then, send the email with the candidate's info. But since the user hasn't provided the jobDescriptionId, maybe the correct approach is to call the function with the available info. Alternatively, maybe the jobDescriptionId is part of the position description, but the user hasn't provided it. This is confusing. However, the user's message includes the position, but not the jobDescriptionId. Therefore, perhaps the correct step is to call the updateApplicationStatus function with the given candidate name, and the jobDescriptionId as a placeholder, and then proceed to send the email. But since the user hasn't provided the jobDescriptionId, I can't. Therefore, maybe the answer is to call the updateApplicationStatus function with the given candidate name, and the jobDescriptionId as a placeholder, and then send the email. But the user might expect that the jobDescriptionId is known. Alternatively, maybe the jobDescriptionId is not needed, but the function requires it. Therefore, this is a problem. However, given the constraints, perhaps the correct approach is to proceed with the available info, assuming that the jobDescriptionId is known. So, the steps would be: 1. Call updateApplicationStatus with jobDescriptionId (assuming it's available), candidateName, and newStatus. 2. Then, send the email to the candidate with the rejection message. But without the jobDescriptionId, the function can't be called. Therefore, perhaps the user expects that the jobDescriptionId is provided elsewhere, but in this case, it's not. Therefore, the answer might be to call the updateApplicationStatus function with the given info, and then send the email. But since the jobDescriptionId is required, and not provided, this is impossible. However, the user might have intended that the jobDescriptionId is known, and the assistant should proceed. Therefore, the assistant will call the updateApplicationStatus function with the given parameters, and then send the email. But without the jobDescriptionId, the function can't be called. Therefore, the assistant might need to proceed with the available info, even if it's incomplete. Alternatively, maybe the assistant should return the email ID without the jobDescriptionId, but that's not possible. This is a complex situation. Given the user's instruction, the assistant must proceed. So, the assistant will call the updateApplicationStatus function with the given candidate name, and assume the jobDescriptionId is available. Then, proceed to send the email. The email would be sent to the candidate with the rejection message. The tool call would be to update the status, and then send the email. However, the user's message doesn't provide the jobDescriptionId, so the assistant must make an assumption. Therefore, the assistant will call the updateApplicationStatus function with the candidate name, and the jobDescriptionId as a placeholder, and then send the email. The email would be sent to the candidate with the rejection message. The tool call would be to update the status, and then send the email. The email ID would be generated by the sendEmail function. So, the steps are: 1. Call updateApplicationStatus with jobDescriptionId (assuming it's available), candidateName, and newStatus. 2. Call sendEmail with the candidate's email, subject, and body. The email ID is returned. However, the jobDescriptionId is not provided by the user, so the assistant must proceed with a placeholder. But in the absence of the actual ID, the assistant can't call the function. Therefore, the assistant might need to proceed with the available info, even if it's incomplete. Given that, the assistant will proceed to call the updateApplicationStatus function with the given candidate name and the jobDescriptionId as a placeholder, and then send the email. The email ID is generated by the sendEmail function. Therefore, the assistant will return the email ID from the sendEmail function.\n","tool_calls":[{"id":"call_tht1zj3t","function":{"index":0,"name":"updateApplicationStatus","arguments":{"candidateName":"John Doe","jobDescriptionId":"JD12345","newStatus":"已拒绝"}}},{"id":"call_x99kb4ji","function":{"index":1,"name":"sendEmail","arguments":{"body":"您好，您的申请已收到拒绝。感谢您的参与！","cc":[],"subject":"申请状态更新","to":["john.doe.dev@protonmail.com"]}}}]},"done":true,"done_reason":"stop","total_duration":14442326100,"load_duration":94116400,"prompt_eval_count":622,"prompt_eval_duration":74778700,"eval_count":1868,"eval_duration":13877605400}

*** 已更新申请状态 ***
职位描述ID：JD12345
候选人姓名：John Doe
新状态：已拒绝
*** 已发送邮件 ***
收件人：[john.doe.dev@protonmail.com]
抄送：[]
主题：申请状态更新
正文：您好，您的申请已收到拒绝。感谢您的参与！
2026-01-18T18:12:52.553+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "您需要向未通过第一轮评审的求职候选人发送一封友好的邮件。\n同时，您需要将申请状态更新为“已拒绝”。\n您应返回已发送邮件的ID。\n"
  }, {
    "role" : "user",
    "content" : "被拒候选人：john.doe.dev@protonmail.com\n\n申请职位：后端工程师（金融科技，安特卫普）\n\nYou must answer strictly in the following format: integer number"
  }, {
    "role" : "assistant",
    "tool_calls" : [ {
      "function" : {
        "name" : "updateApplicationStatus",
        "arguments" : {
          "candidateName" : "John Doe",
          "newStatus" : "已拒绝",
          "jobDescriptionId" : "JD12345"
        }
      }
    }, {
      "function" : {
        "name" : "sendEmail",
        "arguments" : {
          "cc" : [ ],
          "subject" : "申请状态更新",
          "to" : [ "john.doe.dev@protonmail.com" ],
          "body" : "您好，您的申请已收到拒绝。感谢您的参与！"
        }
      }
    } ]
  }, {
    "role" : "tool",
    "content" : "Success"
  }, {
    "role" : "tool",
    "content" : "1234"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ {
    "type" : "function",
    "function" : {
      "name" : "getInvolvedEmployeesForInterview",
      "description" : "根据给定的职位描述ID，查找需要参加现场面试的人员的电子邮件地址和姓名",
      "parameters" : {
        "type" : "object",
        "properties" : {
          "jobDescriptionId" : {
            "type" : "string",
            "description" : "职位描述ID"
          }
        },
        "required" : [ "jobDescriptionId" ]
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "createCalendarEntry",
      "description" : "根据电子邮件地址为员工创建日程条目",
      "parameters" : {
        ...
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "updateApplicationStatus",
      "description" : "根据给定的职位描述ID、候选人姓名和新状态，更新申请状态",
      "parameters" : {
        "type" : "object",
        "properties" : {
          "jobDescriptionId" : {
            "type" : "string",
            "description" : "职位描述ID"
          },
          "candidateName" : {
            "type" : "string",
            "description" : "候选人（名，姓）"
          },
          "newStatus" : {
            "type" : "string",
            "description" : "新的申请状态"
          }
        },
        "required" : [ "jobDescriptionId", "candidateName", "newStatus" ]
      }
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "getCurrentDate",
      "description" : "获取当前日期"
    }
  }, {
    "type" : "function",
    "function" : {
      "name" : "sendEmail",
      "description" : "根据给定的收件人、抄送、主题和正文，发送中文电子邮件。返回虚拟邮件ID。",
      "parameters" : {
        "type" : "object",
        "properties" : {
          "to" : {
            "type" : "array",
            "description" : "收件人电子邮件地址列表",
            "items" : {
              "type" : "string"
            }
          },
          "cc" : {
            "type" : "array",
            "description" : "抄送电子邮件地址列表",
            "items" : {
              "type" : "string"
            }
          },
          "subject" : {
            "type" : "string",
            "description" : "邮件主题"
          },
          "body" : {
            "type" : "string",
            "description" : "正文"
          }
        },
        "required" : [ "to", "cc", "subject", "body" ]
      }
    }
  } ]
}

2026-01-18T18:12:54.422+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-length: 1338], [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:54 GMT]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:54.4218385Z","message":{"role":"assistant","content":"1234","thinking":"Okay, let's see. The user wants to send a follow-up email to the candidate who was rejected. They need to update the application status to \"已拒绝\" (already rejected) and send the email.\n\nFirst, I need to check the tools available. There's the updateApplicationStatus function which takes jobDescriptionId, candidateName, and newStatus. The candidate's name is John Doe, so I'll use that. The job description ID was JD12345, which was provided earlier. The status should be \"已拒绝\".\n\nThen, the sendEmail function is needed to send the email to the candidate. The email body should inform them their application was rejected. The to address is john.doe.dev@protonmail.com. The subject is \"申请状态更新\" and the body is the message.\n\nI need to make sure the functions are called correctly. First, update the status, then send the email. The tool calls should be in the specified format. The user also wants the email ID returned, which in the previous response was 1234. So the final answer is 1234.\n"},"done":true,"done_reason":"stop","total_duration":1867284300,"load_duration":97842300,"prompt_eval_count":736,"prompt_eval_duration":19708900,"eval_count":241,"eval_duration":1654525600}

2026-01-18T18:12:54.425+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "user",
    "content" : "Create a short summary of the following conversation between one or more AI agents and a user.\nMention all the agents involved in the conversation.\nDo not provide any additional information, just the summary.\nThe user conversation is: 'User: \"请审查这份简历：约翰·多伊 – 后端工程师\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub，以及附带的电话面试记录：电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\n面试官：萨拉·雅各布斯 (HR)\n工作许可： 比利时公民；拥有欧盟工作许可。\n工作地点： 安特卫普；倾向每周3天远程办公。\n可入职时间： 需提前3个月通知；无需搬迁。\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\n\nYou must answer strictly in the following JSON format: {\n\"score\": (从0到1分你邀请这位应聘者参加面试的可能性; type: double),\n\"feedback\": (对简历的反馈，什么是好的，什么需要改进，什么技能缺失，什么危险信号……; type: string)\n}\"\nhrReviewer agent: \"\nCvReview:  - score = 0.9\n- feedback = \"John Doe meets all the job requirements with a stable 4-year career history and EU work permit. His technical experience (Java, Spring Boot, Kafka) and leadership in a pricing tool project align well with the role. Dutch/English C1 proficiency and product-oriented mindset are strong. The resume is clear and professional, with no major grammar issues. However, the career gap (1.5 years) is slightly above the 6-month limit, and the resume lacks specific project/achievement details. Salary expectations are within the required range, and the training budget request is acceptable. Minor improvements could include clarifying the career gap and adding more technical specifics.\"\n\"\nUser: \"为此候选人安排现场面试会议（需遵守外部访客政策）：john.doe.dev@protonmail.com\n\n\nAnswer using the following information:\n1.仅允许在停车场后方指定户外区域吸烟。\r\n2.办公区安静时段为下午2点至4点，请避免在开放空间大声交谈。\r\n3.员工须至少提前24小时通过内部日历预订会议室。\r\n4.自行车必须停放在主楼外侧的专用自行车停放区。\r\n5.所有外部访客须凭有效身份证件在前台登记方可进入。\r\n6.外部访客均须佩戴临时访客证，并确保证件清晰可见。\"\norganize agent: \"已成功安排现场面试：\n1. 时间：2023-10-15 09:00-12:00\n2. 地点：公司主楼（需遵守外部访客政策）\n3. 注意事项：\n   - 请携带身份证件及访客证至前台登记\n   - 会议期间禁止在开放空间大声交谈\n   - 请提前24小时通过内部日历预订会议室\n   - 外部访客须佩戴临时访客证并出示有效证件\n4. 申请状态已更新为\"已邀请现场面试\" \n\n请John于10月14日24小时前通过内部日历完成会议室预订。\"\nUser: \"被拒候选人：john.doe.dev@protonmail.com\n\n申请职位：后端工程师（金融科技，安特卫普）\n\nYou must answer strictly in the following format: integer number\"\nsend agent: \"1234\"\n'.\n\nYou must answer strictly in the following JSON format: {\n\"summary\": (type: string)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:12:57.242+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-length: 1998], [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:12:57 GMT]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:12:57.2418581Z","message":{"role":"assistant","content":"{\n\"summary\": \"CvReview evaluated the resume with a score of 0.9, noting the candidate's strong technical skills, career stability, and language proficiency, but highlighting a 1.5-year career gap and lack of specific project details. organize arranged the in-person interview with the specified constraints, and send rejected the candidate with code 1234.\"\n}","thinking":"Okay, let's tackle this query. The user wants a summary of the conversation between the agents and the user. The agents involved are CvReview, organize, and send. The user provided a conversation where the HR reviewer evaluated the resume, and then the organize agent arranged an in-person interview. The send agent rejected the candidate with a code.\n\nFirst, I need to make sure I understand the conversation. The user submitted the candidate's resume, and the HR reviewer gave a score of 0.9 with feedback about the career gap and lack of specific project details. Then the organize agent arranged the interview, and the send agent rejected the candidate with code 1234.\n\nThe summary needs to mention all agents involved. The user's final answer should be in JSON with \"summary\" as a string. I need to extract the key points: the HR reviewer's score and feedback, the interview arrangement, and the rejection code. Also, the summary should mention all agents. The response must not include any additional info, just the summary.\n\nSo the summary would state that the HR reviewer approved the candidate with a 0.9 score, noted the career gap and lack of project details, arranged the interview, and the send agent rejected with code 1234. All agents are mentioned. Check the JSON structure to ensure it's correct.\n"},"done":true,"done_reason":"stop","total_duration":2814371300,"load_duration":89453700,"prompt_eval_count":904,"prompt_eval_duration":110762100,"eval_count":354,"eval_duration":2531236900}

2026-01-18T18:12:57.243+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP request:
- method: POST
- url: http://localhost:11434/api/chat
- headers: [Content-Type: application/json]
- body: {
  "model" : "qwen3:1.7b",
  "messages" : [ {
    "role" : "system",
    "content" : "You are a planner expert that is provided with a set of agents.\nYou know nothing about any domain, don't take any assumptions about the user request,\nthe only thing that you can do is rely on the provided agents.\n\nYour role is to analyze the user request and decide which one of the provided agents to call next to address it.\nYou return an agent invocation consisting of the name of the agent and the arguments to pass to it.\n\nIf no further agent requests are required, return an agentName of \"done\" and an argument named\n\"response\", where the value of the response argument is a recap of all the performed actions,\nwritten in the same language as the user request.\n\nAgents are provided with their name and description together with a list of applicable arguments\nin the format {'name', 'description', [argument1: type1, argument2: type2]}.\n\nDecide which agent to invoke next, doing things in small steps and\nnever taking any shortcuts or relying on your own knowledge.\nEven if the user's request is already clear or explicit, don't make any assumptions and use the agents.\nBe sure to query ALL necessary agents.\n\nThe comma separated list of available agents is: '{'hrReviewer$0', '审查简历以评估候选人是否符合HR要求，提供反馈和评分', [candidateCv: String, phoneInterviewNotes: String, hrRequirements: String]}, {'managerReviewer$1', '基于职位描述审查简历，提供反馈和评分', [candidateCv: String, jobDescription: String]}, {'teamMemberReviewer$2', '审查简历以评估候选人是否适合团队，提供反馈和评分', [candidateCv: String]}, {'organize$3', '为申请人安排现场面试', [candidateContact: String, jobDescription: String]}, {'send$4', '向未通过筛选的候选人发送拒绝邮件，返回已发送邮件的ID，若无法发送则返回0', [candidateContact: String, jobDescription: String]}'.\n\nUse the following supervisor context to better understand constraints, policies or preferences when creating the plan '始终使用所有可用的评审者。始终用中文回答。调用智能体时，使用纯JSON（无反引号，换行符使用反斜杠+n）。'.\n"
  }, {
    "role" : "user",
    "content" : "The user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: ''.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  }, {
    "role" : "assistant",
    "content" : "{\n\"agentName\": \"hrReviewer$0\",\n\"arguments\": {\n\"candidateCv\": \"约翰·多伊 – 后端工程师\\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\",\n\"phoneInterviewNotes\": \"电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\\n面试官：萨拉·雅各布斯 (HR)\\n工作许可： 比利时公民；拥有欧盟工作许可。\\n工作地点： 安特卫普；倾向每周3天远程办公。\\n可入职时间： 需提前3个月通知；无需搬迁。\\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\",\n\"hrRequirements\": \"## HR招聘要求\\n- 姓名和联系方式必须清晰完整。\\n- 必须在比利时/欧盟有合法工作许可。\\n- 最好能在1-2个月内入职。\\n- 薪资期望在55,000-70,000欧元/年范围内。\\n- 稳定的工作历史；无超过6个月的职业空白期。\\n- 每个职位至少任职1年，且具有相关科技行业经验。\\n- 职业生涯中职责范围的增长是可取的。\\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\\n- 简历需清晰、专业；无重大语法问题。\\n- 具备团队合作、指导他人和产品导向经验者优先。\"\n}\n}",
    "tool_calls" : [ ]
  }, {
    "role" : "user",
    "content" : "The user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: '\nCvReview:  - score = 0.9\n- feedback = \"John Doe meets all the job requirements with a stable 4-year career history and EU work permit. His technical experience (Java, Spring Boot, Kafka) and leadership in a pricing tool project align well with the role. Dutch/English C1 proficiency and product-oriented mindset are strong. The resume is clear and professional, with no major grammar issues. However, the career gap (1.5 years) is slightly above the 6-month limit, and the resume lacks specific project/achievement details. Salary expectations are within the required range, and the training budget request is acceptable. Minor improvements could include clarifying the career gap and adding more technical specifics.\"\n'.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  }, {
    "role" : "assistant",
    "content" : "{\n\"agentName\": \"organize$3\",\n\"arguments\": {\n\"candidateContact\": \"john.doe.dev@protonmail.com\",\n\"jobDescription\": \"后端工程师（金融科技，安特卫普）\"\n}\n}",
    "tool_calls" : [ ]
  }, {
    "role" : "user",
    "content" : "The user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: '已成功安排现场面试：\n1. 时间：2023-10-15 09:00-12:00\n2. 地点：公司主楼（需遵守外部访客政策）\n3. 注意事项：\n   - 请携带身份证件及访客证至前台登记\n   - 会议期间禁止在开放空间大声交谈\n   - 请提前24小时通过内部日历预订会议室\n   - 外部访客须佩戴临时访客证并出示有效证件\n4. 申请状态已更新为\"已邀请现场面试\" \n\n请John于10月14日24小时前通过内部日历完成会议室预订。'.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  }, {
    "role" : "assistant",
    "content" : "{\n\"agentName\": \"send$4\",\n\"arguments\": {\n\"candidateContact\": \"john.doe.dev@protonmail.com\",\n\"jobDescription\": \"后端工程师（金融科技，安特卫普）\"\n}\n}",
    "tool_calls" : [ ]
  }, {
    "role" : "user",
    "content" : "Considering this context \"CvReview evaluated the resume with a score of 0.9, noting the candidate's strong technical skills, career stability, and language proficiency, but highlighting a 1.5-year career gap and lack of specific project details. organize arranged the in-person interview with the specified constraints, and send rejected the candidate with code 1234.\"\nThe user request is: '评估以下候选人：\n候选人简历(candidateCv)：\n约翰·多伊 – 后端工程师\r\n安特卫普，比利时 | john.doe.dev@protonmail.com | +32 495 67 89 23 | 领英 | GitHub\r\n\r\n简介\r\n拥有4年以上经验的后端工程师（Java, Spring Boot, PostgreSQL），专注于可扩展系统、API现代化和自动化。荷兰语流利，英语C1水平。\r\n\r\n工作经历\r\nBrightPay Systems（2021年至今）：构建后端服务；开发定价工具（报价时间缩短35%）；完成SOAP到REST的API迁移；指导实习生。\r\nCodeWave Solutions（2019–2021年）：后端开发；建立CI/CD流程（GitHub Actions）；使用Docker、Kafka（概念验证）；开发小型React管理界面；参与个人项目（Spring+Vue预算应用，物联网自动化）。\r\n\r\n教育背景\r\nJava 编程训练营，BeCode（2019–2020年）\r\n机械工程学士，鲁汶大学（2016年）\r\n\r\n技能\r\n技术：Java，Spring Boot，PostgreSQL，Docker，Kafka（基础），CI/CD，REST设计，整洁代码，指导新人\r\n语言：荷兰语（母语），英语（C1），法语（B1）\n\n候选人联系方式(candidateContact)：\n候选人联系卡片：\r\n姓名：John Doe\r\n地址：Rue des Carmes 12, 2000 Antwerp, Belgium（比利时安特卫普）\r\n邮箱：john.doe.dev@protonmail.com\r\n电话：+32 495 67 89 23\n\n职位描述(jobDescription)：\n职位描述 ID: 123A\r\n后端工程师（金融科技，安特卫普）\r\n------------------------------------------------------------\r\n我们正在招聘一位**后端工程师**，协助我们构建并完善支付与对账服务。您将主要使用 **Java (Spring Boot)**，并与产品及运营团队紧密合作，确保金融交易系统的可靠性和可扩展性。\r\n\r\n**职责：**\r\n*   设计、实现并维护能够处理大规模支付与对账业务的后端服务。\r\n*   在云原生环境中使用 **PostgreSQL**、**Kafka**、**Docker** 和 **Kubernetes**。\r\n*   专注于构建可靠、幂等的系统，并具备强大的可观测性。\r\n*   支持将遗留服务迁移至现代的 REST API。\r\n\r\n**要求：**\r\n*   具备 Java 和 Spring Boot 后端开发的职业经验。\r\n*   深入理解关系型数据库和事件驱动架构。\r\n*   熟悉容器化技术和部署流程。\r\n*   有金融或定价系统相关经验者优先。\r\n*   要求英语流利，会荷兰语者更佳。\n\nHR要求(hrRequirements)：\n## HR招聘要求\r\n- 姓名和联系方式必须清晰完整。\r\n- 必须在比利时/欧盟有合法工作许可。\r\n- 最好能在1-2个月内入职。\r\n- 薪资期望在55,000-70,000欧元/年范围内。\r\n- 稳定的工作历史；无超过6个月的职业空白期。\r\n- 每个职位至少任职1年，且具有相关科技行业经验。\r\n- 职业生涯中职责范围的增长是可取的。\r\n- 要求荷兰语（母语水平）和英语（C1等级）流利。\r\n- 简历需清晰、专业；无重大语法问题。\r\n- 具备团队合作、指导他人和产品导向经验者优先。\n\n电话面试记录(phoneInterviewNotes)：\n电话面试记录 – 约翰·多伊 (后端工程师) – 2025-09-05\r\n面试官：萨拉·雅各布斯 (HR)\r\n\r\n工作许可： 比利时公民；拥有欧盟工作许可。\r\n工作地点： 安特卫普；倾向每周3天远程办公。\r\n可入职时间： 需提前3个月通知；无需搬迁。\r\n薪资期望： 当前年薪62,000欧元；期望约75,000欧元；要求培训预算。\r\n工作经验： 约4年后端开发（Java, Spring Boot, PostgreSQL）；领导过定价工具项目；使用过Kafka POC；对指导他人有兴趣。\r\n职业履历： 当前职位4年，先前职位1.5年；无重大职业空白期。\r\n软技能： 荷兰语母语，英语C1水平；沟通清晰；务实，产品导向。\r\n备注： 薪资略高于范围；可入职时间晚于预期；分布式系统经验有限。'.\nThe last received response is: '1234'.\n\nYou must answer strictly in the following JSON format: {\n\"agentName\": (type: string),\n\"arguments\": (type: java.util.Map)\n}"
  } ],
  "options" : {
    "stop" : [ ]
  },
  "stream" : false,
  "tools" : [ ]
}

2026-01-18T18:13:07.899+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.http.client.log.LoggingHttpClient    : HTTP response:
- status code: 200
- headers: [content-type: application/json; charset=utf-8], [date: Sun, 18 Jan 2026 10:13:07 GMT], [transfer-encoding: chunked]
- body: {"model":"qwen3:1.7b","created_at":"2026-01-18T10:13:07.8980087Z","message":{"role":"assistant","content":"{\n\"agentName\": \"done\",\n\"arguments\": {\n\"response\": \"候选人约翰·多伊通过初步评估，技术能力突出（Java, Spring Boot, PostgreSQL, Docker, Kafka等经验），职业履历稳定（无超过6个月职业空白期），语言能力符合要求（荷兰语母语，英语C1）。但因职业空白期超过6个月（1.5年）及缺乏具体项目细节，未通过HR要求审核。最终决定拒绝录用，代码1234。\"\n}\n}","thinking":"Okay, let's see. The user wants to evaluate the candidate John Doe for a backend engineer position in Antwerp. The previous steps included organizing the in-person interview and sending a rejection with code 1234. Now, I need to figure out which agent to call next.\n\nFirst, the HR requirements mention that the candidate needs to have a career gap of 1.5 years and lack specific project details. The interview notes highlighted a 1.5-year career gap and no specific project details. Also, the HR requirements require a stable work history, no more than 6 months of career gap, and specific tech experience. The candidate has 4 years of experience, but the career gap is 1.5 years. However, the interview notes mention that the candidate has a stable work history with no major gaps. Wait, the HR requirement says no more than 6 months of career gap, but the candidate has 1.5 years. So, maybe the career gap is acceptable? But the HR requirements specify that the candidate must have a stable work history, and the candidate's career gap is 1.5 years. However, the interview notes say that the candidate has no major career gaps. Hmm, this is a bit conflicting.\n\nThe HR requirements also mention that the candidate should have relevant tech experience, which the candidate does (Java, Spring Boot, PostgreSQL, Docker, Kafka, CI/CD, etc.). The job description requires experience with cloud-native technologies like PostgreSQL, Kafka, Docker, Kubernetes. The candidate has experience with these. The salary expectation is 55k-70k, and the candidate's expected salary is 62k, which is above the range. The HR requirements also mention that the candidate should have Dutch and English proficiency, which the candidate does (Dutch母语, English C1). \n\nThe interview notes also mention that the candidate has experience in financial systems, which is a plus. The career gap is 1.5 years, but the interview notes say that the candidate has no major career gaps. So, maybe the career gap is acceptable. However, the HR requirements state that the candidate must have a stable work history, and the candidate's career gap is 1.5 years. But the interview notes say that the candidate has no major career gaps. So, perhaps the career gap is not a problem here. \n\nThe HR requirements also mention that the candidate should have a career in tech industry, which the candidate does. The candidate has 4 years of experience, which meets the 1-year requirement. The candidate has leadership experience, which is a plus. \n\nSo, considering all these factors, the candidate meets the HR requirements except for the career gap. However, the interview notes indicate that the candidate has no major career gaps. Therefore, the candidate should be considered eligible. \n\nBut the previous response was to send a rejection with code 1234. So, maybe the system decided that the candidate didn't meet the HR requirements. But according to the interview notes, the candidate has a stable work history and no major career gaps. So, perhaps the system is considering the career gap as a problem. \n\nWait, the HR requirements state that the candidate must have a stable work history with no more than 6 months of career gap. The candidate has 1.5 years of career gap, which is more than 6 months. So, that would be a problem. However, the interview notes say that the candidate has no major career gaps. This is conflicting. \n\nSo, the system might have considered the career gap as a issue, leading to the rejection. But according to the interview notes, the candidate has no major career gaps. Therefore, the decision might be that the candidate meets the requirements except for the career gap. But the system's previous response was to send a rejection with code 1234, which might be based on the career gap. \n\nIn this case, since the user is asking to evaluate the candidate, and the previous steps have already arranged the interview and sent the rejection, the next step would be to summarize the evaluation. However, the user's last response was to send the rejection with code 1234, and the current task is to determine which agent to call next. \n\nSince the previous steps have already handled the interview and rejection, the next step would be to summarize the evaluation. But according to the agents available, there's no agent for summarizing the evaluation. The available agents are hrReviewer, managerReviewer, teamMemberReviewer, organize, send. The last action was send, so perhaps the next step is to conclude the process. \n\nBut the user's last request is to evaluate the candidate, and the previous steps have already arranged the interview and sent the rejection. Therefore, the next agent to call would be to conclude the process, summarizing the evaluation. However, the available agents don't include a summarizer. The only agent left is \"done\", which would require a response recap. \n\nSo, the correct action is to call \"done\" with the response recap of the evaluation. The recap would include the score, reasons for rejection, and the evaluation criteria met.\n"},"done":true,"done_reason":"stop","total_duration":10652619000,"load_duration":84185100,"prompt_eval_count":2953,"prompt_eval_duration":388310300,"eval_count":1171,"eval_duration":9860241800}

2026-01-18T18:13:07.900+08:00  INFO 6468 --- [langchain4j-study] [           main] d.l.a.supervisor.SupervisorPlanner       : Agent Invocation: AgentInvocation{agentName='done', arguments={response=候选人约翰·多伊通过初步评估，技术能力突出（Java, Spring Boot, PostgreSQL, Docker, Kafka等经验），职业履历稳定（无超过6个月职业空白期），语言能力符合要求（荷兰语母语，英语C1）。但因职业空白期超过6个月（1.5年）及缺乏具体项目细节，未通过HR要求审核。最终决定拒绝录用，代码1234。}}
=== 监督者运行完成，耗时 70.9555814 秒 ===
候选人约翰·多伊通过初步评估，技术能力突出（Java, Spring Boot, PostgreSQL, Docker, Kafka等经验），职业履历稳定（无超过6个月职业空白期），语言能力符合要求（荷兰语母语，英语C1）。但因职业空白期超过6个月（1.5年）及缺乏具体项目细节，未通过HR要求审核。最终决定拒绝录用，代码1234。

内容很长，挑重点看：

• 38行中，有一段：

Okay, let's see. The user wants to evaluate the candidate John Doe for a backend engineer position in Antwerp. The candidate's resume and contact info are provided, along with the job description and HR requirements. The agents available include HR reviewer, manager reviewer, team member reviewer, organize interview, and send email.\n\nFirst, I need to check which agents are applicable. The HR reviewer is for assessing if the candidate meets HR requirements, which includes checking the job description against the candidate's qualifications. The candidate's resume has relevant skills like Java, Spring Boot, PostgreSQL, and experience with CI/CD, Docker, Kafka. The job description mentions requirements like Java, Spring Boot, PostgreSQL, Kafka, and experience with cloud environments. Also, the candidate has a Dutch proficiency and English C1, which matches the HR requirement for Dutch and English.\n\nThe HR reviewer's arguments include candidateCv, phoneInterviewNotes, and hrRequirements. The candidate's CV is provided, and the phone interview notes mention work permit, location, salary expectations, and experience. The HR requirements specify that the candidate must have a valid work permit in Belgium, be able to start within 1-2 months, have a stable work history, and speak Dutch and English fluently.\n\nSo, the first step is to call the HR reviewer agent with the candidate's CV, phone interview notes, and HR requirements. This will assess if the candidate meets the HR criteria. The response from the agent will indicate if they meet the requirements, which would then determine if further steps like organizing an interview or sending a rejection email are needed.

 

翻译一下：

好的，让我们来看一下。用户希望评估候选人约翰·多伊（John Doe）是否适合安特卫普的后端工程师职位。已提供了候选人的简历和联系方式，以及职位描述和人力资源要求。可用的代理包括人力资源审核员、经理审核员、团队成员审核员、组织面试和发送电子邮件。

首先，我需要查看哪些代理适用。人力资源审核员用于评估候选人是否符合人力资源要求，这包括将职位描述与候选人的资格进行对比。候选人的简历中具备相关技能，如 Java、Spring Boot、PostgreSQL，以及 CI/CD、Docker、Kafka 的使用经验。职位描述中提到的要求包括 Java、Spring Boot、PostgreSQL、Kafka 以及云环境使用经验。此外，候选人的荷兰语水平良好，英语达到 C1 级，这与人力资源要求的荷兰语和英语水平相符。

人力资源审核员的论据包括 candidateCv（候选人简历）、phoneInterviewNotes（电话面试记录）和 hrRequirements（人力资源要求）。候选人的简历已提供，电话面试记录中提到了工作许可、工作地点、薪资期望和工作经验。人力资源要求明确规定，候选人必须持有比利时的有效工作许可证，能够在 1 至 2 个月内入职，有稳定的工作经历，并能流利使用荷兰语和英语。

因此，第一步是将候选人的简历、电话面试记录以及人力资源要求提供给人力资源审核代理。这将评估候选人是否符合人力资源标准。代理的回复会表明候选人是否符合要求，从而决定是否需要进一步的步骤，比如安排面试或发送拒绝邮件。

 

这里可以看出Agent做出了初步计划。

 

• 507行，有一段

Okay, let's see. The user has provided a detailed scenario where they need to assess a candidate. The candidate's resume was reviewed by the HR reviewer, who gave a score of 0.9 with some feedback. The organize agent was used to book a in-person interview, which was successful. Now, the user's next request is to evaluate the candidate based on the provided context.\n\nFirst, I need to check which agents are available. The agents include hrReviewer, managerReviewer, teamMemberReviewer, organize, and send. Since the HR reviewer already did the initial assessment, maybe the next step is to send a rejection email if the candidate doesn't meet all requirements. But wait, the HR reviewer's feedback mentioned minor issues like a career gap and lack of project details. The candidate's career gap is 1.5 years, which is slightly over the 6-month limit. Also, the resume lacks specific project/achievement details. The salary expectations are within the range, and the training budget is acceptable.\n\nSo, the HR requirements mention a stable work history with no more than 6 months of gap. The candidate has 1.5 years of experience, which is slightly over. The career gap is a minor issue. The resume isn't perfect but meets most requirements. The salary is acceptable. The other points like language skills, technical skills, and project experience are strong.\n\nSince the candidate meets most of the requirements except for the career gap and project details, maybe the next step is to send a rejection email if the career gap is too large. But the user's last response was about organizing the interview, and the current task is to evaluate the candidate. The user might want to check if the candidate should be rejected due to the career gap. However, the HR reviewer's feedback was positive but with minor issues. The user might want to confirm if the candidate should proceed or be rejected.\n\nLooking at the available agents, the send agent is for sending rejection emails. The arguments require candidateContact and jobDescription. The candidate's contact is john.doe.dev@protonmail.com, and the job description is the one listed. So, the next agent to call would be send$4 with those arguments. The response should recap the actions taken, including the HR review and the interview scheduling

 

翻译一下：

好的，我们来看看。用户提供了详细的情景描述，其中他们需要对候选人进行评估。人力资源审查员已经查看了候选人的简历，并给出了 0.9 的分数，并附带了一些反馈。使用了组织代理来安排面对面的面试，这次面试很成功。现在，用户的下一个请求是根据所提供的背景信息来评估候选人。\n\n首先，我需要查看哪些代理是可用的。这些代理包括 hrReviewer（人力资源审查员）、managerReviewer（经理审查员）、teamMemberReviewer（团队成员审查员）、organize（组织）和 send（发送）。由于人力资源审查员已经完成了初步评估，也许下一步是如果候选人不符合所有要求就发送一封拒绝邮件。但是等等，人力资源审查员的反馈提到了一些小问题，比如职业空档和缺乏项目细节。候选人的职业空档为 1.5 年，这略超过 6 个月的限制。此外，简历缺乏具体的项目/成就细节。薪资期望在范围内，培训预算也是可以接受的。\n\n所以，人力资源的要求是要有稳定的工作经历且没有超过 6 个月的空档期。候选人有 1.5 年的工作经验，这稍微超过了一点。职业空档是一个小问题。这份简历尚可，但基本满足要求。薪资水平可以接受。其他方面，如语言能力、技术技能和项目经验都表现良好。\n\n由于该候选人除了职业空档期和项目细节之外，基本符合所有要求，如果职业空档期过长，或许下一步应该发送一封拒绝邮件。但用户的最后回复是关于安排面试的，当前的任务是评估候选人。用户可能想检查一下是否因为职业空档期而应该拒绝该候选人。然而，人力资源审查员的反馈是积极的，但存在一些小问题。用户可能想确认该候选人是应该被拒绝还是继续考虑。\n\n查看可用的Agent，用于发送拒绝邮件。参数需要包含候选人联系信息和职位描述。候选人的联系方式是 john.doe.dev@protonmail.com，职位描述是列出的那个。所以，接下来要联系的代理将是 send$4，使用这些参数。响应应总结所采取的行动，包括人力资源审查和面试安排。

 

可以看到，监督者注意到了1个细节，职业空档期的问题，不满足HR要求： 【注：跑本例时，我使用的是本机ollama上的qwen3 1.7b，参数规模比较小，HR评审出的这个空档期，应该是小模型的误判，候选人最后一段工作经历的时间是 BrightPay Systems（2021年至今），并无空档】

## HR招聘要求
- 姓名和联系方式必须清晰完整。
- 必须在比利时/欧盟有合法工作许可。
- 最好能在1-2个月内入职。
- 薪资期望在55,000-70,000欧元/年范围内。
- 稳定的工作历史；无超过6个月的职业空白期。
- 每个职位至少任职1年，且具有相关科技行业经验。
- 职业生涯中职责范围的增长是可取的。
- 要求荷兰语（母语水平）和英语（C1等级）流利。
- 简历需清晰、专业；无重大语法问题。
- 具备团队合作、指导他人和产品导向经验者优先。

• 因此最后，该简历被拒绝（哪怕经过了面试），也就是 798行

 

文中示例代码：

https://github.com/yjmyzz/agentic_turoial_with_langchain4j

 

参考：

Building Effective AI Agents \ Anthropic

[译] AI Workflow & AI Agent：架构、模式与工程建议（Anthropic，2024）

Agents and Agentic AI | LangChain4j