<properties>
<java.version>21</java.version>
<spring-ai.version>0.8.1</spring-ai.version>
</properties>
<repositories>
<repository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<releases>
<enabled>false</enabled>
</releases>
</repository>
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<releases>
<enabled>false</enabled>
</releases>
</pluginRepository>
</pluginRepositories>
spring:
application:
name: Chat
ai:
openai:
api-key: hk-xxx
base-url: https://api.openai-hk.com #请根据自己的api-key自定义配置
chat:
options:
model: gpt-3.5-turbo #默认model为 gpt-3.5-turbo
temperature: 0.5
server:
port: 8080
import jakarta.annotation.Resource;
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatClient;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;
@RestController
public class ChatController {
@Resource
private OpenAiChatClient openAiChatClient;
@RequestMapping("/ai/chat")
public String chat(@RequestParam(value = "msg") String msg){
return openAiChatClient.call(msg);
}
@RequestMapping("/ai/chat2")
public String chatCall(@RequestParam(value = "msg") String msg){
ChatResponse response = openAiChatClient.call(new Prompt(msg));
return response.getResult().getOutput().getContent();
}
@RequestMapping("/ai/chat4")
public String chatCall2(@RequestParam(value = "msg") String msg){
//可选参数可以覆盖 项目配置文件中的参数(以代码中内容为准)
ChatResponse response = openAiChatClient.call(
new Prompt(
msg,
OpenAiChatOptions.builder()
.withModel("gpt-4-vision-preview") //gpt版本 可以填写字符串或者使用OpenAiApi.ChatModel中提供的常量
.withTemperature(0.8F) //温度高,回答创新型越高;越低,越准确
.build()
)
);
return response.getResult().getOutput().getContent();
}
@RequestMapping("/ai/chat5")
public Object chatStream(@RequestParam(value = "msg") String msg){
Flux<ChatResponse> flux = openAiChatClient.stream(new Prompt(msg,
OpenAiChatOptions.builder()
.withModel(OpenAiApi.ChatModel.GPT_4_VISION_PREVIEW.getValue()) //gpt版本 "gpt-4-vision-preview"
.withTemperature(0.5F) //温度高,回答创新型越高;越低,越准确
.withMaxTokens(4096) //显示最大token
.build()
)
);
flux.toStream().forEach(chatResponse -> {
System.out.print(chatResponse.getResult().getOutput().getContent());
});
return flux.collectList();
}
}
http://localhost:8080/ai/chat4?msg=河南大学大礼堂被烧毁了,请作一首诗表示悲痛