spring ai 学习笔记1. 接入deepseek 大模型1.1 配置信息spring.ai.deepseek.api-keyapi-key spring.ai.deepseek.chat.options.modeldeepseek-chatapi-key是在deepseek平台记得保存因为只展示一次model参数可以不配置1.2 对话方法调用packageorg.example;importorg.junit.jupiter.api.Test;importorg.springframework.ai.deepseek.DeepSeekChatModel;importorg.springframework.beans.factory.annotation.Autowired;importorg.springframework.boot.test.context.SpringBootTest;importreactor.core.publisher.Flux;SpringBootTestpublicclassTestDeepseek{/** * 字符串输出 * param deepSeekChatModel */TestpublicvoidtestDeepseek(AutowiredDeepSeekChatModeldeepSeekChatModel){StringcalldeepSeekChatModel.call(你好你是谁);System.out.println(call);}/** * 流式输出 * param deepSeekChatModel */TestpublicvoidtestDeepseekStream(AutowiredDeepSeekChatModeldeepSeekChatModel){FluxStringstreamdeepSeekChatModel.stream(你好你是谁);stream.toIterable().forEach(System.out::println);}}1.3 模型可配置项temperature 温度 0-2浮点数值数值越高更有创造性当然也可以通过提示词来控制它的联系程度/** * 可配置 * param deepSeekChatModel */TestpublicvoidtestDeepseekOptions(AutowiredDeepSeekChatModeldeepSeekChatModel){DeepSeekChatOptionsoptionsDeepSeekChatOptions.builder().temperature(1.9d).build();PromptpromptnewPrompt(为清晨创作一首诗句,options);ChatResponsecalldeepSeekChatModel.call(prompt);System.out.println(call.getResult().getOutput().getText());}建议maxTokens 限制AI最大token数stop 截断你不想输出的内容1.3 增加深度思考/** * 深度思考 * param deepSeekChatModel */TestpublicvoidtestDeepseekReasoning(AutowiredDeepSeekChatModeldeepSeekChatModel){DeepSeekChatOptionsoptionsDeepSeekChatOptions.builder().temperature(1.9d).build();PromptpromptnewPrompt(为清晨创作一首诗句,options);ChatResponsecalldeepSeekChatModel.call(prompt);DeepSeekAssistantMessagemessage(DeepSeekAssistantMessage)call.getResult().getOutput();System.out.println(message.getReasoningContent());System.out.println(-----------------);System.out.println(message.getText());}
spring ai 学习笔记1. 接入deepseek 大模型1.1 配置信息spring.ai.deepseek.api-keyapi-key spring.ai.deepseek.chat.options.modeldeepseek-chatapi-key是在deepseek平台记得保存因为只展示一次model参数可以不配置1.2 对话方法调用packageorg.example;importorg.junit.jupiter.api.Test;importorg.springframework.ai.deepseek.DeepSeekChatModel;importorg.springframework.beans.factory.annotation.Autowired;importorg.springframework.boot.test.context.SpringBootTest;importreactor.core.publisher.Flux;SpringBootTestpublicclassTestDeepseek{/** * 字符串输出 * param deepSeekChatModel */TestpublicvoidtestDeepseek(AutowiredDeepSeekChatModeldeepSeekChatModel){StringcalldeepSeekChatModel.call(你好你是谁);System.out.println(call);}/** * 流式输出 * param deepSeekChatModel */TestpublicvoidtestDeepseekStream(AutowiredDeepSeekChatModeldeepSeekChatModel){FluxStringstreamdeepSeekChatModel.stream(你好你是谁);stream.toIterable().forEach(System.out::println);}}1.3 模型可配置项temperature 温度 0-2浮点数值数值越高更有创造性当然也可以通过提示词来控制它的联系程度/** * 可配置 * param deepSeekChatModel */TestpublicvoidtestDeepseekOptions(AutowiredDeepSeekChatModeldeepSeekChatModel){DeepSeekChatOptionsoptionsDeepSeekChatOptions.builder().temperature(1.9d).build();PromptpromptnewPrompt(为清晨创作一首诗句,options);ChatResponsecalldeepSeekChatModel.call(prompt);System.out.println(call.getResult().getOutput().getText());}建议maxTokens 限制AI最大token数stop 截断你不想输出的内容1.3 增加深度思考/** * 深度思考 * param deepSeekChatModel */TestpublicvoidtestDeepseekReasoning(AutowiredDeepSeekChatModeldeepSeekChatModel){DeepSeekChatOptionsoptionsDeepSeekChatOptions.builder().temperature(1.9d).build();PromptpromptnewPrompt(为清晨创作一首诗句,options);ChatResponsecalldeepSeekChatModel.call(prompt);DeepSeekAssistantMessagemessage(DeepSeekAssistantMessage)call.getResult().getOutput();System.out.println(message.getReasoningContent());System.out.println(-----------------);System.out.println(message.getText());}
