{"id":107384,"date":"2026-09-19T14:56:58","date_gmt":"2026-09-19T06:56:58","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/107384.html"},"modified":"2026-09-19T14:56:58","modified_gmt":"2026-09-19T06:56:58","slug":"ai%e5%b7%a5%e7%a8%8b-spring-ai%e7%ac%ac%e4%ba%8c%e7%af%87-2-0-%e5%bf%ab%e9%80%9f%e6%8e%a5%e5%85%a5-deepseek%e3%80%81%e9%98%bf%e9%87%8c%e7%99%be%e7%82%bc%e4%b8%8e-ollama","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/107384.html","title":{"rendered":"[AI\u5de5\u7a0b] Spring AI\u7b2c\u4e8c\u7bc7: 2.0 \u5feb\u901f\u63a5\u5165 DeepSeek\u3001\u963f\u91cc\u767e\u70bc\u4e0e Ollama"},"content":{"rendered":"
\n

💡 \u505a AI \u5e94\u7528，\u7b2c\u4e00\u6b65\u4e0d\u662f RAG，\u4e5f\u4e0d\u662f Agent，\u800c\u662f\u628a\u6a21\u578b\u8c03\u7528\u3001\u6d41\u5f0f\u8f93\u51fa\u3001\u53c2\u6570\u63a7\u5236\u548c\u591a\u6a21\u6001\u80fd\u529b\u5148\u8dd1\u901a\u3002<\/p>\n

Java \u5f00\u53d1\u8005\u5e38\u89c1\u7684\u4e09\u6761\u8def\u5f84：\u901a\u8fc7 DeepSeek \u4f7f\u7528\u4e91\u7aef\u6a21\u578b；\u901a\u8fc7 \u963f\u91cc\u4e91\u767e\u70bc \u63a5\u5165\u901a\u4e49\u4e0e\u591a\u6a21\u6001\u80fd\u529b；\u6216\u4f7f\u7528 Ollama \u5728\u672c\u5730\u8fd0\u884c\u6a21\u578b\u3002<\/p>\n

\u8fd9\u7bc7\u6587\u7ae0\u4ece\u96f6\u521b\u5efa Spring AI 2.0 \u9879\u76ee，\u5b8c\u6574\u6f14\u793a\u4e09\u79cd\u63a5\u5165\u65b9\u5f0f，\u4ee5\u53ca temperature\u3001\u63a8\u7406\u6a21\u578b\u3001\u6d41\u5f0f\u54cd\u5e94\u4e0e\u591a\u6a21\u6001\u7684\u4f7f\u7528\u3002 \"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\n

1. \u521b\u5efa Spring AI 2.0 \u9879\u76ee<\/h3>\n

Spring AI \u662f\u628a Spring Boot \u5e94\u7528\u4e0e\u6a21\u578b\u3001\u4f01\u4e1a\u6570\u636e\u3001\u5de5\u5177\u8c03\u7528\u3001RAG\u3001MCP \u8fde\u63a5\u8d77\u6765\u7684\u6846\u67b6\u3002<\/p>\n

Spring Boot
\n –> Spring AI
\n –> \u4e91\u7aef\u6a21\u578b：DeepSeek \/ \u767e\u70bc
\n –> \u672c\u5730\u6a21\u578b：Ollama
\n –> Chat \/ Stream \/ Image \/ Audio \/ RAG \/ MCP<\/p>\n

\u4e0b\u9762\u4f7f\u7528 Spring Boot 4.0.0\u3001JDK 17+ \u4e0e Spring AI 2.0.1\u3002\u751f\u4ea7\u73af\u5883\u66f4\u5efa\u8bae JDK 21+\u3002<\/p>\n

<?xml version="1.0" encoding="UTF-8"?><\/span>
\n<<\/span>project<\/span> xmlns<\/span>=<\/span>"<\/span>http:\/\/maven.apache.org\/POM\/4.0.0"<\/span><\/span>
\n xmlns:<\/span>xsi<\/span>=<\/span>"<\/span>http:\/\/www.w3.org\/2001\/XMLSchema-instance"<\/span><\/span>
\n xsi:<\/span>schemaLocation<\/span>=<\/span>"<\/span>
\n http:\/\/maven.apache.org\/POM\/4.0.0
\n https:\/\/maven.apache.org\/xsd\/maven-4.0.0.xsd"<\/span><\/span>><\/span><\/span><\/p>\n

<<\/span>modelVersion<\/span>><\/span><\/span>4.0.0<\/<\/span>modelVersion<\/span>><\/span><\/span><\/p>\n

<<\/span>parent<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>org.springframework.boot<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-boot-starter-parent<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <<\/span>version<\/span>><\/span><\/span>4.0.0<\/<\/span>version<\/span>><\/span><\/span>
\n <<\/span>relativePath<\/span>\/><\/span><\/span>
\n <\/<\/span>parent<\/span>><\/span><\/span><\/p>\n

<<\/span>groupId<\/span>><\/span><\/span>com.gc<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-ai-demo<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <<\/span>version<\/span>><\/span><\/span>0.0.1-SNAPSHOT<\/<\/span>version<\/span>><\/span><\/span>
\n <<\/span>name<\/span>><\/span><\/span>spring-ai-demo<\/<\/span>name<\/span>><\/span><\/span>
\n <<\/span>description<\/span>><\/span><\/span>\u7a0b\u5e8f\u5458GC：Spring AI 2.0 \u793a\u4f8b<\/<\/span>description<\/span>><\/span><\/span><\/p>\n

<<\/span>properties<\/span>><\/span><\/span>
\n <<\/span>java.version<\/span>><\/span><\/span>21<\/<\/span>java.version<\/span>><\/span><\/span>
\n <<\/span>spring-ai.version<\/span>><\/span><\/span>2.0.1<\/<\/span>spring-ai.version<\/span>><\/span><\/span>
\n <\/<\/span>properties<\/span>><\/span><\/span><\/p>\n

<<\/span>dependencyManagement<\/span>><\/span><\/span>
\n <<\/span>dependencies<\/span>><\/span><\/span>
\n <<\/span>dependency<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>org.springframework.ai<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-ai-bom<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <<\/span>version<\/span>><\/span><\/span>${spring-ai.version}<\/<\/span>version<\/span>><\/span><\/span>
\n <<\/span>type<\/span>><\/span><\/span>pom<\/<\/span>type<\/span>><\/span><\/span>
\n <<\/span>scope<\/span>><\/span><\/span>import<\/<\/span>scope<\/span>><\/span><\/span>
\n <\/<\/span>dependency<\/span>><\/span><\/span>
\n <\/<\/span>dependencies<\/span>><\/span><\/span>
\n <\/<\/span>dependencyManagement<\/span>><\/span><\/span><\/p>\n

<<\/span>dependencies<\/span>><\/span><\/span>
\n <<\/span>dependency<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>org.springframework.boot<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-boot-starter-web<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <\/<\/span>dependency<\/span>><\/span><\/span><\/p>\n

<<\/span>dependency<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>org.springframework.boot<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-boot-starter-test<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <<\/span>scope<\/span>><\/span><\/span>test<\/<\/span>scope<\/span>><\/span><\/span>
\n <\/<\/span>dependency<\/span>><\/span><\/span>
\n <\/<\/span>dependencies<\/span>><\/span><\/span><\/p>\n

<<\/span>build<\/span>><\/span><\/span>
\n <<\/span>plugins<\/span>><\/span><\/span>
\n <<\/span>plugin<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>org.springframework.boot<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-boot-maven-plugin<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <\/<\/span>plugin<\/span>><\/span><\/span>
\n <\/<\/span>plugins<\/span>><\/span><\/span>
\n <\/<\/span>build<\/span>><\/span><\/span><\/p>\n

<\/<\/span>project<\/span>><\/span><\/span><\/p>\n

spring-ai-bom \u7684\u4f5c\u7528\u662f\u7edf\u4e00\u7ba1\u7406 Spring AI \u7ec4\u4ef6\u7248\u672c\u3002\u540e\u7eed\u63a5\u5165\u6a21\u578b\u3001\u5411\u91cf\u5e93\u6216 MCP \u65f6，\u4e0d\u9700\u8981\u7ed9\u6bcf\u4e2a Starter \u5355\u72ec\u6307\u5b9a\u7248\u672c\u3002<\/p>\n

\n

2. \u63a5\u5165 DeepSeek：\u666e\u901a\u5bf9\u8bdd\u3001\u6d41\u5f0f\u8f93\u51fa\u4e0e\u63a8\u7406\u6a21\u578b<\/h3>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u5148\u5728 DeepSeek \u5f00\u653e\u5e73\u53f0 \u521b\u5efa API Key\u3002\u6dfb\u52a0\u4f9d\u8d56：<\/p>\n

<<\/span>dependency<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>org.springframework.ai<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-ai-starter-model-deepseek<\/<\/span>artifactId<\/span>><\/span><\/span>
\n<\/<\/span>dependency<\/span>><\/span><\/span><\/p>\n

\u914d\u7f6e application.yml：<\/p>\n

spring<\/span>:<\/span>
\n ai<\/span>:<\/span>
\n deepseek<\/span>:<\/span>
\n api-key<\/span>:<\/span> ${<\/span>DEEPSEEK_API_KEY}<\/span>
\n chat<\/span>:<\/span>
\n model<\/span>:<\/span> deepseek–<\/span>chat
\n temperature<\/span>:<\/span> 0.5<\/span>
\n max-tokens<\/span>:<\/span> 1024<\/span><\/p>\n

\u672c\u5730\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf：<\/p>\n

export<\/span> DEEPSEEK_API_KEY<\/span>=<\/span>\u4f60\u7684_API_KEY<\/p>\n

\u4e0d\u8981\u628a API Key \u5199\u8fdb application.yml \u540e\u63d0\u4ea4 Git\u3002<\/p>\n

2.1 \u666e\u901a\u5bf9\u8bdd<\/h4>\n

Starter \u4f1a\u81ea\u52a8\u914d\u7f6e DeepSeekChatModel\u3002Spring AI 2.0 \u4e2d，ChatModel \u9075\u5faa\u7edf\u4e00\u7684\u6a21\u578b\u8c03\u7528\u62bd\u8c61，\u6a21\u578b\u63d0\u4f9b\u65b9\u4e0d\u540c，\u8c03\u7528\u65b9\u5f0f\u57fa\u672c\u4e00\u81f4\u3002<\/p>\n

@SpringBootTest<\/span>
\nclass<\/span> DeepSeekTest<\/span> {<\/span><\/p>\n

@Test<\/span>
\n void<\/span> testChat<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> chatModel)<\/span> {<\/span>
\n String<\/span> result =<\/span> chatModel.<\/span>call<\/span>(<\/span>"\u7528\u4e00\u53e5\u8bdd\u89e3\u91ca\u4ec0\u4e48\u662f RAG"<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>result)<\/span>;<\/span>
\n }<\/span>
\n}<\/span><\/p>\n

\u66f4\u63a8\u8350\u4e1a\u52a1\u4ee3\u7801\u4e2d\u4f7f\u7528 ChatClient，\u56e0\u4e3a\u5b83\u66f4\u9002\u5408\u540e\u7eed\u53e0\u52a0 Prompt\u3001Memory\u3001Advisor\u3001Tool Calling \u4e0e RAG\u3002<\/p>\n

@RestController<\/span>
\n@RequestMapping<\/span>(<\/span>"\/ai"<\/span>)<\/span>
\nclass<\/span> ChatController<\/span> {<\/span><\/p>\n

private<\/span> final<\/span> ChatClient<\/span> chatClient;<\/span><\/p>\n

ChatController<\/span>(<\/span>ChatClient.<\/span>Builder<\/span> builder)<\/span> {<\/span>
\n this<\/span>.<\/span>chatClient =<\/span> builder.<\/span>build<\/span>(<\/span>)<\/span>;<\/span>
\n }<\/span><\/p>\n

@GetMapping<\/span>(<\/span>"\/chat"<\/span>)<\/span>
\n String<\/span> chat<\/span>(<\/span>@RequestParam<\/span> String<\/span> message)<\/span> {<\/span>
\n return<\/span> chatClient.<\/span>prompt<\/span>(<\/span>)<\/span>
\n .<\/span>user<\/span>(<\/span>message)<\/span>
\n .<\/span>call<\/span>(<\/span>)<\/span>
\n .<\/span>content<\/span>(<\/span>)<\/span>;<\/span>
\n }<\/span>
\n}<\/span><\/p>\n

2.2 \u6d41\u5f0f\u5bf9\u8bdd<\/h4>\n

\u804a\u5929\u7a97\u53e3\u6216\u5b9e\u65f6\u751f\u6210\u573a\u666f\u4f7f\u7528\u6d41\u5f0f\u54cd\u5e94：<\/p>\n

@Test<\/span>
\nvoid<\/span> testStream<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> chatModel)<\/span> {<\/span>
\n Flux<\/span><<\/span>String<\/span>><\/span><\/span> stream =<\/span> chatModel.<\/span>stream<\/span>(<\/span>"\u5199\u4e00\u9996\u5173\u4e8e\u6e05\u6668\u7684\u77ed\u8bd7"<\/span>)<\/span>;<\/span>
\n stream.<\/span>toIterable<\/span>(<\/span>)<\/span>.<\/span>forEach<\/span>(<\/span>System<\/span>.<\/span>out::<\/span>print<\/span>)<\/span>;<\/span>
\n}<\/span><\/p>\n

Controller \u4e2d\u53ef\u76f4\u63a5\u8f93\u51fa SSE：<\/p>\n

@GetMapping<\/span>(<\/span>value =<\/span> "\/stream"<\/span>,<\/span> produces =<\/span> "text\/event-stream"<\/span>)<\/span>
\nFlux<\/span><<\/span>String<\/span>><\/span><\/span> stream<\/span>(<\/span>@RequestParam<\/span> String<\/span> message)<\/span> {<\/span>
\n return<\/span> chatClient.<\/span>prompt<\/span>(<\/span>)<\/span>
\n .<\/span>user<\/span>(<\/span>message)<\/span>
\n .<\/span>stream<\/span>(<\/span>)<\/span>
\n .<\/span>content<\/span>(<\/span>)<\/span>;<\/span>
\n}<\/span><\/p>\n

2.3 temperature\u3001maxTokens \u4e0e stop<\/h4>\n

temperature \u51b3\u5b9a\u8f93\u51fa\u968f\u673a\u6027\u3002\u5b83\u4e0d\u662f\u201c\u5e7b\u89c9\u5f00\u5173\u201d，\u4f46\u4f1a\u660e\u663e\u5f71\u54cd\u56de\u7b54\u98ce\u683c\u3002<\/p>\n\nTemperature\u9002\u5408\u573a\u666f\u8f93\u51fa\u7279\u70b9<\/tr>\n\n\n\n\n\n
0.0 ~ 0.2<\/td>\n\u4ee3\u7801\u8865\u5168\u3001\u7ed3\u6784\u5316\u62bd\u53d6\u3001\u4e25\u8c28\u95ee\u7b54<\/td>\n\u7a33\u5b9a\u3001\u6536\u655b<\/td>\n<\/tr>\n
0.3 ~ 0.6<\/td>\n\u6458\u8981\u3001\u5ba2\u670d\u3001\u65e5\u5e38\u52a9\u624b<\/td>\n\u5e73\u8861\u3001\u7a33\u59a5<\/td>\n<\/tr>\n
0.7 ~ 1.0<\/td>\n\u6807\u9898\u3001\u6587\u6848\u3001\u5185\u5bb9\u521b\u4f5c<\/td>\n\u66f4\u7075\u6d3b\u3001\u6709\u521b\u610f<\/td>\n<\/tr>\n
1.1+<\/td>\n\u8111\u66b4\u3001\u6545\u4e8b\u3001\u53d1\u6563\u521b\u4f5c<\/td>\n\u591a\u6837，\u4f46\u66f4\u5bb9\u6613\u8dd1\u504f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4ee3\u7801\u4e2d\u6309\u8bf7\u6c42\u8986\u76d6\u53c2\u6570：<\/p>\n

@Test<\/span>
\nvoid<\/span> testOptions<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> chatModel)<\/span> {<\/span>
\n DeepSeekChatOptions<\/span> options =<\/span> DeepSeekChatOptions<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>temperature<\/span>(<\/span>0.8<\/span>)<\/span>
\n .<\/span>maxTokens<\/span>(<\/span>200<\/span>)<\/span>
\n .<\/span>build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

ChatResponse<\/span> response =<\/span> chatModel.<\/span>call<\/span>(<\/span>
\n new<\/span> Prompt<\/span>(<\/span>"\u5199\u4e00\u53e5\u63cf\u8ff0\u6e05\u6668\u7684\u8bd7\u3002"<\/span>,<\/span> options)<\/span>
\n )<\/span>;<\/span><\/p>\n

System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>.<\/span>getText<\/span>(<\/span>)<\/span>)<\/span>;<\/span>
\n}<\/span><\/p>\n

\u5bf9\u4e8e\u4e8b\u5b9e\u578b\u95ee\u7b54，\u9664\u4e86\u8c03\u4f4e\u6e29\u5ea6，\u66f4\u91cd\u8981\u7684\u662f\u5728\u63d0\u793a\u8bcd\u4e2d\u7ea6\u675f\u56de\u7b54\u8fb9\u754c：<\/p>\n

\u8bf7\u53ea\u57fa\u4e8e\u5df2\u77e5\u4e8b\u5b9e\u56de\u7b54\u3002
\n\u4fe1\u606f\u4e0d\u8db3\u65f6\u8bf7\u660e\u786e\u8bf4\u660e，\u4e0d\u8981\u81ea\u884c\u8865\u5145\u6216\u63a8\u6d4b\u3002
\n\u8bf7\u7b80\u6d01\u3001\u5ba2\u89c2\u5730\u7ed9\u51fa\u7b54\u6848\u3002<\/p>\n

maxTokens \u7528\u4e8e\u9650\u5236\u5355\u6b21\u56de\u590d\u957f\u5ea6；stop \u53ef\u4ee5\u5728\u6a21\u578b\u751f\u6210\u6307\u5b9a\u6587\u672c\u65f6\u63d0\u524d\u622a\u65ad\u8f93\u51fa\u3002\u5b83\u9002\u5408\u63a7\u5236\u683c\u5f0f，\u4e0d\u9002\u5408\u4f5c\u4e3a\u5185\u5bb9\u5b89\u5168\u7684\u552f\u4e00\u624b\u6bb5\u3002<\/p>\n

spring<\/span>:<\/span>
\n ai<\/span>:<\/span>
\n deepseek<\/span>:<\/span>
\n chat<\/span>:<\/span>
\n model<\/span>:<\/span> deepseek–<\/span>chat
\n max-tokens<\/span>:<\/span> 50<\/span>
\n stop<\/span>:<\/span>
\n –<\/span> "\\\\n"<\/span>
\n –<\/span> "\u3002"<\/span><\/p>\n

2.4 \u4f7f\u7528\u63a8\u7406\u6a21\u578b<\/h4>\n

\u63a8\u7406\u6a21\u578b\u4f1a\u540c\u65f6\u8fd4\u56de\u6700\u7ec8\u7ed3\u679c\u4e0e reasoning \u4fe1\u606f\u3002\u4ee5 deepseek-reasoner \u4e3a\u4f8b：<\/p>\n

@Test<\/span>
\nvoid<\/span> testReasoner<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> chatModel)<\/span> {<\/span>
\n DeepSeekChatOptions<\/span> options =<\/span> DeepSeekChatOptions<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>model<\/span>(<\/span>"deepseek-reasoner"<\/span>)<\/span>
\n .<\/span>build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

ChatResponse<\/span> response =<\/span> chatModel.<\/span>call<\/span>(<\/span>
\n new<\/span> Prompt<\/span>(<\/span>"\u6bd4\u8f83 Redis \u4e0e Caffeine \u7684\u5178\u578b\u4f7f\u7528\u573a\u666f\u3002"<\/span>,<\/span> options)<\/span>
\n )<\/span>;<\/span><\/p>\n

AssistantMessage<\/span> message =<\/span> response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

String<\/span> reasoning =<\/span> message.<\/span>getMetadata<\/span>(<\/span>)<\/span>.<\/span>get<\/span>(<\/span>"reasoningContent"<\/span>)<\/span>;<\/span>
\n String<\/span> answer =<\/span> message.<\/span>getText<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>"\u63a8\u7406\u4fe1\u606f："<\/span> +<\/span> reasoning)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>"\u6700\u7ec8\u56de\u7b54："<\/span> +<\/span> answer)<\/span>;<\/span>
\n}<\/span><\/p>\n

\u5b9e\u9645\u4ea7\u54c1\u4e2d，\u901a\u5e38\u53ea\u5c55\u793a\u6700\u7ec8\u56de\u7b54\u3002\u63a8\u7406\u4fe1\u606f\u66f4\u9002\u5408\u7528\u4e8e\u8c03\u8bd5\u3001\u8bc4\u6d4b\u548c\u5185\u90e8\u89c2\u6d4b，\u4e0d\u5efa\u8bae\u9ed8\u8ba4\u76f4\u63a5\u66b4\u9732\u7ed9\u7ec8\u7aef\u7528\u6237\u3002<\/p>\n

Spring AI \u5bf9 DeepSeek \u7684\u81ea\u52a8\u914d\u7f6e\u3001\u91cd\u8bd5\u4e0e\u53c2\u6570\u8bf4\u660e\u53ef\u89c1：\u5b98\u65b9\u6587\u6863\u3002<\/p>\n

\u7efc\u5408\u6d4b\u8bd5\u4ee3\u7801：<\/p>\n

import<\/span> org.<\/span>junit.<\/span>jupiter.<\/span>api.<\/span><\/span>Test<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>ai.<\/span>chat.<\/span>messages.<\/span><\/span>AssistantMessage<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>ai.<\/span>chat.<\/span>model.<\/span><\/span>ChatResponse<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>ai.<\/span>chat.<\/span>prompt.<\/span><\/span>Prompt<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>ai.<\/span>deepseek.<\/span><\/span>DeepSeekAssistantMessage<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>ai.<\/span>deepseek.<\/span><\/span>DeepSeekChatModel<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>ai.<\/span>deepseek.<\/span><\/span>DeepSeekChatOptions<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>beans.<\/span>factory.<\/span>annotation.<\/span><\/span>Autowired<\/span><\/span>;<\/span>
\nimport<\/span> org.<\/span>springframework.<\/span>boot.<\/span>test.<\/span>context.<\/span><\/span>SpringBootTest<\/span><\/span>;<\/span>
\nimport<\/span> reactor.<\/span>core.<\/span>publisher.<\/span><\/span>Flux<\/span><\/span>;<\/span><\/p>\n

@SpringBootTest<\/span>
\npublic<\/span> class<\/span> DeepSeekTest<\/span> {<\/span>
\n \/**
\n * \u542f\u52a8\u52a0\u8f7d\u6d4b\u8bd5：
\n * 2.0 \u4e2d ChatModel \u5b9e\u73b0\u4e86\u7edf\u4e00\u7684 Model<Prompt, ChatResponse> \u63a5\u53e3，\u6240\u6709\u6a21\u578b\u9075\u5faa\u540c\u4e00\u8c03\u7528\u89c4\u8303\u3002
\n * @param chatModel
\n *\/<\/span>
\n @Test<\/span>
\n public<\/span> void<\/span> testChat<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> chatModel)<\/span> {<\/span>
\n String<\/span> call =<\/span> chatModel.<\/span>call<\/span>(<\/span>"\u4f60\u662f\u8c01"<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>call)<\/span>;<\/span>
\n }<\/span><\/p>\n

\/**
\n * 2.0 \u4e2d StreamingChatModel \u63a5\u53e3
\n * @param chatModel
\n *\/<\/span>
\n @Test<\/span>
\n public<\/span> void<\/span> testChat2<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> chatModel)<\/span> {<\/span>
\n Flux<\/span><<\/span>String<\/span>><\/span><\/span> stream =<\/span> chatModel.<\/span>stream<\/span>(<\/span>"\u4f60\u662f\u8c01"<\/span>)<\/span>;<\/span>
\n stream.<\/span>toIterable<\/span>(<\/span>)<\/span>.<\/span>forEach<\/span>(<\/span>System<\/span>.<\/span>out::<\/span>print<\/span>)<\/span>;<\/span>
\n }<\/span><\/p>\n

\/**
\n * options \u914d\u7f6e\u9009\u9879
\n * 2.0 \u4e2d ChatOptions \u662f\u7edf\u4e00\u7684\u8bf7\u6c42\u9009\u9879\u63a5\u53e3，\u652f\u6301 temperature\u3001topK\u3001topP\u3001maxTokens \u7b49\u53c2\u6570\u3002
\n * temperature（\u6e29\u5ea6）
\n * 0-2 \u6d6e\u70b9\u6570\u503c
\n * \u6570\u503c\u8d8a\u9ad8 \u66f4\u6709\u521b\u9020\u6027 \u70ed\u60c5
\n * \u6570\u503c\u8d8a\u4f4e \u4fdd\u5b88
\n * @param chatModel
\n *\/<\/span>
\n @Test<\/span>
\n public<\/span> void<\/span> testChatOptions<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> chatModel)<\/span> {<\/span>
\n DeepSeekChatOptions<\/span> options =<\/span> DeepSeekChatOptions<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>.<\/span>temperature<\/span>(<\/span>0.1d<\/span>)<\/span>.<\/span>build<\/span>(<\/span>)<\/span>;<\/span>
\n ChatResponse<\/span> res =<\/span> chatModel.<\/span>call<\/span>(<\/span>new<\/span> Prompt<\/span>(<\/span>"\u8bf7\u5199\u4e00\u53e5\u8bd7\u63cf\u8ff0\u6e05\u6668\u3002"<\/span>,<\/span> options)<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>res.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>.<\/span>getText<\/span>(<\/span>)<\/span>)<\/span>;<\/span>
\n }<\/span><\/p>\n

\/**
\n * \u6a21\u578b\u63a8\u7406： \u8bbe\u7f6e\u6df1\u5ea6\u601d\u8003，\u601d\u8003\u7684\u5185\u5bb9\u6709\u4e2a\u4e13\u4e1a\u540d\u8bcd\u53eb：Chain of Thought (CoT)
\n * @param deepSeekChatModel
\n * \u5728 DeepSeek \u4e2d，deepseek-reasoner \u6a21\u578b\u662f\u6df1\u5ea6\u601d\u8003\u6a21\u578b：
\n *\/<\/span><\/p>\n

@Test<\/span>
\n public<\/span> void<\/span> deepSeekReasonerExample<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> deepSeekChatModel)<\/span> {<\/span><\/p>\n

DeepSeekChatOptions<\/span> options =<\/span> DeepSeekChatOptions<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>.<\/span>model<\/span>(<\/span>"deepseek-reasoner"<\/span>)<\/span>.<\/span>build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

Prompt<\/span> prompt =<\/span> new<\/span> Prompt<\/span>(<\/span>"\u8bf7\u5199\u4e00\u53e5\u8bd7\u63cf\u8ff0\u6e05\u6668\u3002"<\/span>,<\/span> options)<\/span>;<\/span>
\n ChatResponse<\/span> response =<\/span> deepSeekChatModel.<\/span>call<\/span>(<\/span>prompt)<\/span>;<\/span><\/p>\n

\/\/ 2.0 \u4e2d AssistantMessage \u83b7\u53d6\u63a8\u7406\u5185\u5bb9<\/span>
\n DeepSeekAssistantMessage<\/span> message =<\/span>
\n (<\/span>DeepSeekAssistantMessage<\/span>)<\/span> response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

String<\/span> content =<\/span> message.<\/span>getText<\/span>(<\/span>)<\/span>;<\/span>
\n String<\/span> reasoningContent =<\/span> message.<\/span>getReasoningContent<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>reasoningContent.<\/span>toString<\/span>(<\/span>)<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>"——————————————–"<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>content)<\/span>;<\/span>
\n }<\/span><\/p>\n

@Test<\/span>
\n public<\/span> void<\/span> deepSeekReasonerStreamExample<\/span>(<\/span>@Autowired<\/span> DeepSeekChatModel<\/span> deepSeekChatModel)<\/span> {<\/span>
\n\/\/<\/span>
\n DeepSeekChatOptions<\/span> options =<\/span> DeepSeekChatOptions<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>model<\/span>(<\/span>"deepseek-reasoner"<\/span>)<\/span>.<\/span>build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

Prompt<\/span> prompt =<\/span> new<\/span> Prompt<\/span>(<\/span>"\u8bf7\u5199\u4e00\u53e5\u8bd7\u63cf\u8ff0\u6e05\u6668\u3002"<\/span>,<\/span> options)<\/span>;<\/span>
\n Flux<\/span><<\/span>ChatResponse<\/span>><\/span><\/span> stream =<\/span> deepSeekChatModel.<\/span>stream<\/span>(<\/span>prompt)<\/span>;<\/span><\/p>\n

stream.<\/span>toIterable<\/span>(<\/span>)<\/span>.<\/span>forEach<\/span>(<\/span>res -><\/span> {<\/span>
\n DeepSeekAssistantMessage<\/span> message =<\/span>
\n (<\/span>DeepSeekAssistantMessage<\/span>)<\/span> res.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>;<\/span>
\n String<\/span> reasoningContent =<\/span> message.<\/span>getReasoningContent<\/span>(<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>print<\/span>(<\/span>reasoningContent)<\/span>;<\/span>
\n }<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>"——————————————–"<\/span>)<\/span>;<\/span>
\n stream.<\/span>toIterable<\/span>(<\/span>)<\/span>.<\/span>forEach<\/span>(<\/span>res -><\/span> {<\/span>
\n AssistantMessage<\/span> assistantMessage =<\/span> res.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>;<\/span>
\n String<\/span> content =<\/span> assistantMessage.<\/span>getText<\/span>(<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>print<\/span>(<\/span>content)<\/span>;<\/span>
\n }<\/span>)<\/span>;<\/span>
\n }<\/span><\/p>\n

\n

3. DeepSeek \u8c03\u7528\u8fc7\u7a0b\u5230\u5e95\u53d1\u751f\u4e86\u4ec0\u4e48？<\/h3>\n

\u8c03\u7528\u4e00\u53e5 chatModel.call("\u4f60\u662f\u8c01")，\u5e95\u5c42\u5927\u81f4\u7ecf\u8fc7\u4ee5\u4e0b\u6d41\u7a0b：<\/p>\n

\u7528\u6237\u6587\u672c
\n –> Prompt \/ UserMessage
\n –> DeepSeekChatModel
\n –> \u8bf7\u6c42\u5bf9\u8c61 JSON
\n –> DeepSeek API
\n –> Spring Retry
\n –> ChatResponse<\/p>\n

ChatResponse \u4e2d\u6700\u503c\u5f97\u5173\u6ce8\u7684\u662f：<\/p>\n\n\u7ed3\u6784\u5305\u542b\u5185\u5bb9<\/tr>\n\n\n\n\n\n
ChatResponseMetadata<\/td>\n\u6a21\u578b\u4fe1\u606f\u3001Token Usage\u3001\u54cd\u5e94\u5143\u6570\u636e<\/td>\n<\/tr>\n
Generation<\/td>\n\u5355\u6b21\u751f\u6210\u7ed3\u679c<\/td>\n<\/tr>\n
AssistantMessage<\/td>\n\u6a21\u578b\u8f93\u51fa\u6587\u672c\u3001\u591a\u6a21\u6001\u5185\u5bb9\u3001\u9644\u52a0\u5143\u6570\u636e<\/td>\n<\/tr>\n
ChatGenerationMetadata<\/td>\n\u4e0e\u672c\u6b21\u751f\u6210\u76f8\u5173\u7684\u9644\u52a0\u4fe1\u606f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u8fd9\u4e5f\u662f Spring AI \u7684\u4ef7\u503c：\u65e0\u8bba\u5e95\u5c42\u662f DeepSeek\u3001OpenAI\u3001Ollama \u8fd8\u662f\u767e\u70bc，\u5e94\u7528\u5c42\u90fd\u80fd\u7528\u63a5\u8fd1\u4e00\u81f4\u7684 Prompt\u3001ChatModel\u3001ChatResponse \u7f16\u7a0b\u6a21\u578b\u3002<\/p>\n

\n

4. \u63a5\u5165\u963f\u91cc\u767e\u70bc：\u804a\u5929\u3001\u56fe\u7247\u3001\u8bed\u97f3\u4e0e\u591a\u6a21\u6001<\/h3>\n

Spring AI Alibaba \u662f\u963f\u91cc\u4e91\u56f4\u7ed5 Spring AI \u63d0\u4f9b\u7684\u6269\u5c55，\u652f\u6301\u767e\u70bc\u6a21\u578b\u3001\u56fe\u7247\u3001\u97f3\u9891\u3001\u5411\u91cf\u68c0\u7d22\u3001\u5de5\u5177\u8c03\u7528\u7b49\u80fd\u529b\u3002<\/p>\n

\u7248\u672c\u8fed\u4ee3\u8f83\u5feb，Spring AI Alibaba \u4e0e Spring AI 2.0 \u7684\u517c\u5bb9\u7248\u672c\u9700\u8981\u4ee5\u5b98\u65b9\u7248\u672c\u8bf4\u660e\u4e3a\u51c6；\u4e0d\u8981\u628a\u4e0d\u540c\u65f6\u95f4\u7684 BOM \u968f\u610f\u6df7\u7528\u3002<\/p>\n

\u57fa\u7840\u4f9d\u8d56\u793a\u4f8b：<\/p>\n

<<\/span>dependencyManagement<\/span>><\/span><\/span>
\n <<\/span>dependencies<\/span>><\/span><\/span>
\n <<\/span>dependency<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>com.alibaba.cloud.ai<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-ai-alibaba-bom<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <<\/span>version<\/span>><\/span><\/span>2.0.0-M1.1<\/<\/span>version<\/span>><\/span><\/span>
\n <<\/span>type<\/span>><\/span><\/span>pom<\/<\/span>type<\/span>><\/span><\/span>
\n <<\/span>scope<\/span>><\/span><\/span>import<\/<\/span>scope<\/span>><\/span><\/span>
\n <\/<\/span>dependency<\/span>><\/span><\/span>
\n <\/<\/span>dependencies<\/span>><\/span><\/span>
\n<\/<\/span>dependencyManagement<\/span>><\/span><\/span><\/p>\n

<<\/span>dependencies<\/span>><\/span><\/span>
\n <<\/span>dependency<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>com.alibaba.cloud.ai<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-ai-alibaba-starter-dashscope<\/<\/span>artifactId<\/span>><\/span><\/span>
\n <\/<\/span>dependency<\/span>><\/span><\/span>
\n<\/<\/span>dependencies<\/span>><\/span><\/span><\/p>\n

\u914d\u7f6e API Key：<\/p>\n

spring<\/span>:<\/span>
\n ai<\/span>:<\/span>
\n dashscope<\/span>:<\/span>
\n api-key<\/span>:<\/span> ${<\/span>AI_DASHSCOPE_API_KEY}<\/span><\/p>\n

\u666e\u901a\u5bf9\u8bdd：<\/p>\n

@Test<\/span>
\nvoid<\/span> testQwen<\/span>(<\/span>@Autowired<\/span> DashScopeChatModel<\/span> chatModel)<\/span> {<\/span>
\n String<\/span> result =<\/span> chatModel.<\/span>call<\/span>(<\/span>"\u4f60\u597d，\u8bf7\u4ecb\u7ecd\u4e00\u4e0b Spring AI"<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>result)<\/span>;<\/span>
\n}<\/span><\/p>\n

4.1 \u6587\u751f\u56fe<\/h4>\n

@Test<\/span>
\nvoid<\/span> textToImage<\/span>(<\/span>@Autowired<\/span> DashScopeImageModel<\/span> imageModel)<\/span> {<\/span>
\n DashScopeImageOptions<\/span> options =<\/span> DashScopeImageOptions<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>withModel<\/span>(<\/span>"wanx2.1-t2i-turbo"<\/span>)<\/span>
\n .<\/span>build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

ImageResponse<\/span> response =<\/span> imageModel.<\/span>call<\/span>(<\/span>
\n new<\/span> ImagePrompt<\/span>(<\/span>"\u4e00\u4f4d\u6b63\u5728\u7f16\u5199 Java AI \u5e94\u7528\u7684\u7a0b\u5e8f\u5458，\u79d1\u6280\u63d2\u753b\u98ce\u683c"<\/span>,<\/span> options)<\/span>
\n )<\/span>;<\/span><\/p>\n

String<\/span> imageUrl =<\/span> response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>.<\/span>getUrl<\/span>(<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>imageUrl)<\/span>;<\/span>
\n}<\/span><\/p>\n

4.2 \u6587\u751f\u8bed\u97f3<\/h4>\n

@Test<\/span>
\nvoid<\/span> textToAudio<\/span>(<\/span>
\n @Autowired<\/span> DashScopeSpeechSynthesisModel<\/span> speechModel
\n)<\/span> throws<\/span> IOException<\/span> {<\/span><\/p>\n

SpeechSynthesisResponse<\/span> response =<\/span> speechModel.<\/span>call<\/span>(<\/span>
\n new<\/span> SpeechSynthesisPrompt<\/span>(<\/span>"\u5927\u5bb6\u597d，\u6211\u662f\u7a0b\u5e8f\u5458GC\u3002"<\/span>)<\/span>
\n )<\/span>;<\/span><\/p>\n

ByteBuffer<\/span> audio =<\/span> response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>.<\/span>getAudio<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

try<\/span> (<\/span>FileOutputStream<\/span> output =<\/span>
\n new<\/span> FileOutputStream<\/span>(<\/span>"output.mp3"<\/span>)<\/span>)<\/span> {<\/span>
\n output.<\/span>write<\/span>(<\/span>audio.<\/span>array<\/span>(<\/span>)<\/span>)<\/span>;<\/span>
\n }<\/span>
\n}<\/span><\/p>\n

4.3 \u8bed\u97f3\u8f6c\u6587\u5b57<\/h4>\n

@Test<\/span>
\nvoid<\/span> audioToText<\/span>(<\/span>
\n @Autowired<\/span> DashScopeAudioTranscriptionModel<\/span> model
\n)<\/span> throws<\/span> MalformedURLException<\/span> {<\/span><\/p>\n

Resource<\/span> audio =<\/span> new<\/span> UrlResource<\/span>(<\/span>
\n "https:\/\/example.com\/demo.wav"<\/span>
\n )<\/span>;<\/span><\/p>\n

AudioTranscriptionResponse<\/span> response =<\/span> model.<\/span>call<\/span>(<\/span>
\n new<\/span> AudioTranscriptionPrompt<\/span>(<\/span>audio)<\/span>
\n )<\/span>;<\/span><\/p>\n

System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>)<\/span>;<\/span>
\n}<\/span><\/p>\n

4.4 \u591a\u6a21\u6001\u56fe\u7247\u7406\u89e3<\/h4>\n

@Test<\/span>
\nvoid<\/span> testMultimodal<\/span>(<\/span>
\n @Autowired<\/span> DashScopeChatModel<\/span> chatModel
\n)<\/span> {<\/span><\/p>\n

Resource<\/span> image =<\/span> new<\/span> ClassPathResource<\/span>(<\/span>"images\/demo.png"<\/span>)<\/span>;<\/span><\/p>\n

Media<\/span> media =<\/span> new<\/span> Media<\/span>(<\/span>
\n MimeTypeUtils<\/span>.<\/span>IMAGE_PNG<\/span>,<\/span>
\n image
\n )<\/span>;<\/span><\/p>\n

Prompt<\/span> prompt =<\/span> Prompt<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>messages<\/span>(<\/span>
\n UserMessage<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>text<\/span>(<\/span>"\u8bc6\u522b\u56fe\u7247\u4e2d\u7684\u5185\u5bb9，\u5e76\u7ed9\u51fa\u7b80\u77ed\u8bf4\u660e\u3002"<\/span>)<\/span>
\n .<\/span>media<\/span>(<\/span>media)<\/span>
\n .<\/span>build<\/span>(<\/span>)<\/span>
\n )<\/span>
\n .<\/span>build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

ChatResponse<\/span> response =<\/span> chatModel.<\/span>call<\/span>(<\/span>prompt)<\/span>;<\/span><\/p>\n

System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>
\n response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>.<\/span>getText<\/span>(<\/span>)<\/span>
\n )<\/span>;<\/span>
\n}<\/span><\/p>\n

\u767e\u70bc\u76f8\u5173\u7684\u56fe\u7247\u3001\u8bed\u97f3\u4e0e\u591a\u6a21\u6001\u6a21\u578b\u540d\u79f0\u4f1a\u6301\u7eed\u53d8\u5316，\u4e0a\u7ebf\u524d\u5e94\u5728\u767e\u70bc\u63a7\u5236\u53f0\u786e\u8ba4\u5f53\u524d\u53ef\u7528\u6a21\u578b\u4e0e\u8ba1\u8d39\u89c4\u5219\u3002<\/p>\n

\n

5. \u63a5\u5165 Ollama：\u672c\u5730\u6a21\u578b\u4e0e\u79c1\u6709\u5316\u90e8\u7f72<\/h3>\n

Ollama \u662f\u672c\u5730\u8fd0\u884c\u5927\u6a21\u578b\u7684\u5de5\u5177\u3002\u5b83\u9002\u5408\u6570\u636e\u4e0d\u51fa\u7f51\u3001\u5185\u7f51\u77e5\u8bc6\u5e93\u3001\u79bb\u7ebf\u5f00\u53d1\u6216\u6a21\u578b\u5b9e\u9a8c\u573a\u666f\u3002<\/p>\n

\u5b89\u88c5\u5730\u5740：Ollama Download<\/p>\n

# \u67e5\u770b\u672c\u5730\u6a21\u578b<\/span>
\nollama list<\/p>\n

# \u62c9\u53d6\u5e76\u8fd0\u884c\u6a21\u578b<\/span>
\nollama run qwen3:4b<\/p>\n

4b \u8868\u793a\u7ea6 40 \u4ebf\u53c2\u6570，\u4f46\u4e0d\u7b49\u4e8e\u201c\u53ea\u8981 4GB \u663e\u5b58\u201d\u3002\u5b9e\u9645\u8d44\u6e90\u6d88\u8017\u8fd8\u53d6\u51b3\u4e8e\u91cf\u5316\u7cbe\u5ea6\u3001\u4e0a\u4e0b\u6587\u957f\u5ea6\u3001\u7cfb\u7edf\u5185\u5b58\u3001GPU \u7c7b\u578b\u548c\u5e76\u53d1\u6570\u3002<\/p>\n

\u6dfb\u52a0\u4f9d\u8d56：<\/p>\n

<<\/span>dependency<\/span>><\/span><\/span>
\n <<\/span>groupId<\/span>><\/span><\/span>org.springframework.ai<\/<\/span>groupId<\/span>><\/span><\/span>
\n <<\/span>artifactId<\/span>><\/span><\/span>spring-ai-starter-model-ollama<\/<\/span>artifactId<\/span>><\/span><\/span>
\n<\/<\/span>dependency<\/span>><\/span><\/span><\/p>\n

\u914d\u7f6e：<\/p>\n

spring<\/span>:<\/span>
\n ai<\/span>:<\/span>
\n ollama<\/span>:<\/span>
\n base-url<\/span>:<\/span> http:<\/span>\/\/localhost:<\/span>11434<\/span>
\n chat<\/span>:<\/span>
\n model<\/span>:<\/span> qwen3:<\/span>4b
\n temperature<\/span>:<\/span> 0.5<\/span>
\n think<\/span>:<\/span> false<\/span><\/p>\n

\u666e\u901a\u8c03\u7528：<\/p>\n

@SpringBootTest<\/span>
\nclass<\/span> OllamaTest<\/span> {<\/span><\/p>\n

@Test<\/span>
\n void<\/span> testChat<\/span>(<\/span>@Autowired<\/span> OllamaChatModel<\/span> chatModel)<\/span> {<\/span>
\n String<\/span> result =<\/span> chatModel.<\/span>call<\/span>(<\/span>"\u4f60\u662f\u8c01？"<\/span>)<\/span>;<\/span>
\n System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>result)<\/span>;<\/span>
\n }<\/span><\/p>\n

@Test<\/span>
\n void<\/span> testStream<\/span>(<\/span>@Autowired<\/span> OllamaChatModel<\/span> chatModel)<\/span> {<\/span>
\n chatModel.<\/span>stream<\/span>(<\/span>"\u4ecb\u7ecd\u4e00\u4e0b Java \u865a\u62df\u7ebf\u7a0b\u3002"<\/span>)<\/span>
\n .<\/span>toIterable<\/span>(<\/span>)<\/span>
\n .<\/span>forEach<\/span>(<\/span>System<\/span>.<\/span>out::<\/span>print<\/span>)<\/span>;<\/span>
\n }<\/span>
\n}<\/span><\/p>\n

\u5bf9\u4e8e\u652f\u6301\u63a8\u7406\u80fd\u529b\u7684\u6a21\u578b，\u4f18\u5148\u4f7f\u7528 think: false \u4e4b\u7c7b\u7684\u6a21\u578b\u53c2\u6570\u63a7\u5236，\u800c\u4e0d\u662f\u4f9d\u8d56 Prompt \u4e2d\u7684 \/no_think\u3002\u63d0\u793a\u8bcd\u6307\u4ee4\u5e76\u975e\u6240\u6709\u6a21\u578b\u90fd\u4fdd\u8bc1\u652f\u6301\u3002<\/p>\n

5.1 Ollama \u591a\u6a21\u6001<\/h4>\n

\u4ee5\u652f\u6301\u89c6\u89c9\u7684\u6a21\u578b\u4e3a\u4f8b：<\/p>\n

@Test<\/span>
\nvoid<\/span> testVision<\/span>(<\/span>@Autowired<\/span> OllamaChatModel<\/span> chatModel)<\/span> {<\/span>
\n Resource<\/span> image =<\/span> new<\/span> ClassPathResource<\/span>(<\/span>"images\/architecture.png"<\/span>)<\/span>;<\/span><\/p>\n

Media<\/span> media =<\/span> new<\/span> Media<\/span>(<\/span>
\n MimeTypeUtils<\/span>.<\/span>IMAGE_PNG<\/span>,<\/span>
\n image
\n )<\/span>;<\/span><\/p>\n

OllamaChatOptions<\/span> options =<\/span> OllamaChatOptions<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>model<\/span>(<\/span>"gemma3"<\/span>)<\/span>
\n .<\/span>build<\/span>(<\/span>)<\/span>;<\/span><\/p>\n

ChatResponse<\/span> response =<\/span> chatModel.<\/span>call<\/span>(<\/span>
\n new<\/span> Prompt<\/span>(<\/span>
\n UserMessage<\/span>.<\/span>builder<\/span>(<\/span>)<\/span>
\n .<\/span>text<\/span>(<\/span>"\u8bf7\u89e3\u91ca\u8fd9\u5f20\u67b6\u6784\u56fe\u3002"<\/span>)<\/span>
\n .<\/span>media<\/span>(<\/span>media)<\/span>
\n .<\/span>build<\/span>(<\/span>)<\/span>,<\/span>
\n options
\n )<\/span>
\n )<\/span>;<\/span><\/p>\n

System<\/span>.<\/span>out.<\/span>println<\/span>(<\/span>
\n response.<\/span>getResult<\/span>(<\/span>)<\/span>.<\/span>getOutput<\/span>(<\/span>)<\/span>.<\/span>getText<\/span>(<\/span>)<\/span>
\n )<\/span>;<\/span>
\n}<\/span><\/p>\n

Ollama \u652f\u6301\u54ea\u4e9b\u591a\u6a21\u6001\u6a21\u578b，\u4ee5\u5176\u6a21\u578b\u5e93\u548c\u672c\u5730\u5df2\u5b89\u88c5\u7248\u672c\u4e3a\u51c6\u3002Spring AI \u5f53\u524d\u7684 Ollama \u96c6\u6210\u8bf4\u660e\u89c1：\u5b98\u65b9\u6587\u6863\u3002<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\n

\u6700\u540e\u603b\u7ed3<\/h3>\n
    \n
  • \n

    \u5982\u679c\u4f60\u53ea\u662f\u60f3\u5feb\u901f\u8dd1\u901a\u804a\u5929\u80fd\u529b： \u9009\u62e9 DeepSeek API，\u4f7f\u7528 DeepSeekChatModel \u6216 ChatClient\u3002<\/p>\n<\/li>\n

  • \n

    \u5982\u679c\u4f60\u9700\u8981\u56fe\u7247\u3001\u8bed\u97f3\u3001\u591a\u6a21\u6001\u4e0e\u56fd\u5185\u4e91\u6a21\u578b\u751f\u6001： \u9009\u62e9\u963f\u91cc\u767e\u70bc\u4e0e Spring AI Alibaba，\u4f46\u6ce8\u610f BOM \u4e0e Spring AI \u7684\u7248\u672c\u517c\u5bb9\u3002<\/p>\n<\/li>\n

  • \n

    \u5982\u679c\u4e1a\u52a1\u6570\u636e\u4e0d\u80fd\u51fa\u7f51： \u4f7f\u7528 Ollama \u672c\u5730\u90e8\u7f72，\u5148\u6d4b\u6e05\u695a\u6a21\u578b\u3001\u91cf\u5316\u3001\u786c\u4ef6\u548c\u5e76\u53d1\u7684\u771f\u5b9e\u8d44\u6e90\u6d88\u8017\u3002<\/p>\n<\/li>\n<\/ul>\n

    Spring AI \u7684\u6838\u5fc3\u4ef7\u503c，\u4e0d\u662f\u66ff\u4f60\u5199\u4e00\u6761 HTTP \u8bf7\u6c42，\u800c\u662f\u7528\u7edf\u4e00\u62bd\u8c61\u628a\u6a21\u578b\u3001\u6d41\u5f0f\u54cd\u5e94\u3001\u5de5\u5177\u3001RAG\u3001MCP \u4e0e\u53ef\u89c2\u6d4b\u6027\u7eb3\u5165 Spring \u5de5\u7a0b\u4f53\u7cfb\u3002<\/p>\n

    \u53c2\u8003\u8d44\u6599 & \u81f4\u8c22<\/h3>\n

    [1] Spring AI \u5b98\u65b9\u9879\u76ee [2] Spring AI DeepSeek Chat \u6587\u6863 [3] Spring AI Ollama Chat \u6587\u6863 [4] DeepSeek \u5f00\u653e\u5e73\u53f0 [5] Spring AI Alibaba [6] \u963f\u91cc\u4e91\u767e\u70bc [7] Ollama \u5b98\u7f51<\/p>\n","protected":false},"excerpt":{"rendered":"

    💡 \u505a AI \u5e94\u7528，\u7b2c\u4e00\u6b65\u4e0d\u662f RAG，\u4e5f\u4e0d\u662f Agent，\u800c\u662f\u628a\u6a21\u578b\u8c03\u7528\u3001\u6d41\u5f0f\u8f93\u51fa\u3001\u53c2\u6570\u63a7\u5236\u548c\u591a\u6a21\u6001\u80fd\u529b\u5148\u8dd1\u901a\u3002
    \nJava \u5f00\u53d1\u8005\u5e38\u89c1\u7684\u4e09\u6761\u8def\u5f84：\u901a\u8fc7 DeepSeek \u4f7f\u7528\u4e91\u7aef\u6a21\u578b；\u901a\u8fc7 \u963f\u91cc\u4e91\u767e\u70bc \u63a5\u5165\u901a\u4e49\u4e0e\u591a\u6a21\u6001\u80fd\u529b；\u6216\u4f7f\u7528 Ollama \u5728\u672c\u5730\u8fd0\u884c\u6a21\u578b\u3002
    \n\u8fd9\u7bc7\u6587\u7ae0\u4ece\u96f6\u521b\u5efa Spring AI 2.0 \u9879\u76ee，\u5b8c\u6574\u6f14\u793a\u4e09\u79cd\u63a5\u5165\u65b9\u5f0f，\u4ee5\u53ca t<\/p>\n","protected":false},"author":2,"featured_media":107381,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[66,53,99],"topic":[],"class_list":["post-107384","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-ai","tag-java"],"yoast_head":"\n[AI\u5de5\u7a0b] Spring AI\u7b2c\u4e8c\u7bc7: 2.0 \u5feb\u901f\u63a5\u5165 DeepSeek\u3001\u963f\u91cc\u767e\u70bc\u4e0e Ollama - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/107384.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[AI\u5de5\u7a0b] Spring AI\u7b2c\u4e8c\u7bc7: 2.0 \u5feb\u901f\u63a5\u5165 DeepSeek\u3001\u963f\u91cc\u767e\u70bc\u4e0e Ollama - 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