{"id":62514,"date":"2026-01-20T05:42:02","date_gmt":"2026-01-19T21:42:02","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/62514.html"},"modified":"2026-01-20T05:42:02","modified_gmt":"2026-01-19T21:42:02","slug":"langchain4j%e5%85%a5%e9%97%a8%ef%bc%9a%e9%93%be%e5%bc%8fai%e4%bb%bb%e5%8a%a1%e6%8b%86%e8%a7%a3","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/62514.html","title":{"rendered":"LangChain4j\u5165\u95e8\uff1a\u94fe\u5f0fAI\u4efb\u52a1\u62c6\u89e3"},"content":{"rendered":"

\u6838\u5fc3\u6982\u5ff5：\u94fe (Chain)<\/p>\n

LangChain4j \u7684\u6838\u5fc3\u601d\u60f3\u662f\u5c06\u590d\u6742\u7684\u4efb\u52a1\u62c6\u89e3\u4e3a\u4e00\u7cfb\u5217\u53ef\u7ec4\u5408\u7684\u6b65\u9aa4（\u94fe\u63a5），\u5f62\u6210\u4e00\u4e2a\u201c\u94fe\u201d\u3002\u8fd9\u6709\u52a9\u4e8e\u6a21\u5757\u5316\u3001\u590d\u7528\u548c\u66f4\u6e05\u6670\u7684\u903b\u8f91\u3002<\/p>\n

\u57fa\u672c\u4f7f\u7528\u6b65\u9aa4<\/p>\n

  • \n

    \u6dfb\u52a0\u4f9d\u8d56 \u5728\u4f60\u7684 Maven \u6216 Gradle \u9879\u76ee\u4e2d\u5f15\u5165 LangChain4j \u7684\u6838\u5fc3\u5e93\u4ee5\u53ca\u4f60\u8ba1\u5212\u4f7f\u7528\u7684 LLM \u63d0\u4f9b\u5546\u7684\u9002\u914d\u5668\u5e93（\u5982 OpenAI, HuggingFace, LocalAI \u7b49）\u3002\u4f8b\u5982，\u5bf9\u4e8e OpenAI：<\/p>\n

    <!– Maven –>
    \n<dependency>
    \n <groupId>dev.langchain4j<\/groupId>
    \n <artifactId>langchain4j-open-ai<\/artifactId>
    \n <version>0.28.0<\/version> <!– \u8bf7\u4f7f\u7528\u6700\u65b0\u7248\u672c –>
    \n<\/dependency><\/p>\n<\/li>\n

  • \n

    \u914d\u7f6e LLM \u5ba2\u6237\u7aef \u521b\u5efa\u4e00\u4e2a\u8fde\u63a5\u5230\u4f60\u9009\u62e9\u7684 LLM \u670d\u52a1\u7684\u5ba2\u6237\u7aef\u5b9e\u4f8b\u3002\u8fd9\u901a\u5e38\u9700\u8981\u63d0\u4f9b API \u5bc6\u94a5\u6216\u5176\u4ed6\u8ba4\u8bc1\u4fe1\u606f\u3002<\/p>\n

    import dev.langchain4j.model.openai.OpenAiChatModel;<\/p>\n

    \/\/ \u4f7f\u7528 OpenAI (\u9700\u8981 OPENAI_API_KEY \u73af\u5883\u53d8\u91cf)
    \nOpenAiChatModel model = OpenAiChatModel.builder()
    \n .modelName("gpt-3.5-turbo") \/\/ \u6307\u5b9a\u6a21\u578b
    \n .temperature(0.3) \/\/ \u63a7\u5236\u968f\u673a\u6027
    \n .build();<\/p>\n<\/li>\n

  • \n

    \u521b\u5efa\u5e76\u6267\u884c\u94fe \u6700\u7b80\u5355\u7684\u94fe\u662f\u76f4\u63a5\u5411\u6a21\u578b\u53d1\u9001\u6d88\u606f\u5e76\u83b7\u53d6\u56de\u590d\u3002<\/p>\n

    String userMessage = "Java-LangChain4j \u7684\u57fa\u672c\u4f7f\u7528\u662f\u600e\u6837\u7684？";
    \nString response = model.generate(userMessage);
    \nSystem.out.println(response);<\/p>\n<\/li>\n

  • \n

    \u4f7f\u7528 Prompt Templates (\u63d0\u793a\u6a21\u677f) \u4e3a\u4e86\u66f4\u7ed3\u6784\u5316\u5730\u751f\u6210\u8f93\u5165，\u53ef\u4ee5\u4f7f\u7528\u63d0\u793a\u6a21\u677f\u3002\u6a21\u677f\u4e2d\u53ef\u4ee5\u7528 {{variable}} \u7684\u5f62\u5f0f\u5b9a\u4e49\u5360\u4f4d\u7b26\u3002<\/p>\n

    import dev.langchain4j.model.openai.OpenAiChatModel;
    \nimport dev.langchain4j.model.input.Prompt;
    \nimport dev.langchain4j.model.input.structured.StructuredPrompt;
    \nimport dev.langchain4j.model.input.template.Template;<\/p>\n

    \/\/ \u5b9a\u4e49\u6a21\u677f
    \nTemplate template = Template.from("\u8bf7\u7528 {{language}} \u89e3\u91ca {{framework}} \u7684\u57fa\u672c\u4f7f\u7528\u3002");<\/p>\n

    \/\/ \u586b\u5145\u6a21\u677f\u53d8\u91cf
    \nPrompt prompt = template.render("language", "\u4e2d\u6587", "framework", "Java-LangChain4j");<\/p>\n

    \/\/ \u53d1\u9001\u7ed9\u6a21\u578b
    \nString response = model.generate(prompt.text());
    \nSystem.out.println(response);<\/p>\n<\/li>\n

  • \n

    \u7ed3\u6784\u5316\u8f93\u51fa \u6709\u65f6\u6211\u4eec\u5e0c\u671b\u6a21\u578b\u7684\u8f93\u51fa\u662f\u7ed3\u6784\u5316\u7684（\u5982 JSON \u5bf9\u8c61）\u3002\u53ef\u4ee5\u7ed3\u5408\u63d0\u793a\u6a21\u677f\u548c @StructuredPrompt \u6ce8\u89e3\u6765\u5f15\u5bfc\u6a21\u578b\u3002<\/p>\n

    import dev.langchain4j.model.output.Response;
    \nimport dev.langchain4j.model.output.structured.Description;
    \nimport dev.langchain4j.model.output.structured.StructuredOutput;<\/p>\n

    @StructuredOutput
    \npublic class FrameworkInfo {
    \n @Description("\u6846\u67b6\u7684\u540d\u79f0")
    \n public String name;
    \n @Description("\u6838\u5fc3\u6982\u5ff5，\u7528\u9017\u53f7\u5206\u9694")
    \n public String coreConcepts;
    \n @Description("\u4e00\u4e2a\u7b80\u5355\u7684\u4f7f\u7528\u793a\u4f8b\u4ee3\u7801\u7247\u6bb5")
    \n public String exampleCode;
    \n}<\/p>\n

    \/\/ \u5728\u63d0\u793a\u4e2d\u8981\u6c42\u7ed3\u6784\u5316\u8f93\u51fa
    \nTemplate template = Template.from("\u8bf7\u63d0\u4f9b\u5173\u4e8e {{framework}} \u7684\u57fa\u672c\u4fe1\u606f，\u5305\u62ec\u540d\u79f0\u3001\u6838\u5fc3\u6982\u5ff5\u548c\u4e00\u4e2a\u7b80\u5355\u793a\u4f8b\u4ee3\u7801\u3002\\\\n{{format_instructions}}");
    \n\/\/ … \u586b\u5145\u6a21\u677f，\u7279\u522b\u6ce8\u610f format_instructions \u9700\u8981\u63cf\u8ff0 FrameworkInfo \u7684\u7ed3\u6784
    \nPrompt prompt = …;<\/p>\n

    \/\/ \u83b7\u53d6\u7ed3\u6784\u5316\u54cd\u5e94
    \nResponse<FrameworkInfo> response = model.generate(prompt, FrameworkInfo.class);
    \nFrameworkInfo info = response.content();
    \nSystem.out.println("\u540d\u79f0: " + info.name);
    \nSystem.out.println("\u6838\u5fc3\u6982\u5ff5: " + info.coreConcepts);
    \nSystem.out.println("\u793a\u4f8b:\\\\n" + info.exampleCode);<\/p>\n<\/li>\n

    \u5e38\u89c1\u5e94\u7528\u573a\u666f<\/p>\n