Spring AI默认gpt版本源码探究

调试代码

• 通过调试，可以看到默认mdel为gpt-3.5-turbo
  

源码探究

1. 进入OpenAiChatClient类查看具体的代码信息
   
2. 可以看到如下代码，在有参构造方法中可以看到，model默认使用OpenAiApi.DEFAULT_CHAT_MODEL

   public class OpenAiChatClient extends AbstractFunctionCallSupport<OpenAiApi.ChatCompletionMessage, OpenAiApi.ChatCompletionRequest, ResponseEntity<OpenAiApi.ChatCompletion>> implements ChatClient, StreamingChatClient {private static final Logger logger = LoggerFactory.getLogger(OpenAiChatClient.class);private OpenAiChatOptions defaultOptions;public final RetryTemplate retryTemplate;private final OpenAiApi openAiApi;public OpenAiChatClient(OpenAiApi openAiApi) {this(openAiApi, OpenAiChatOptions.builder().withModel(OpenAiApi.DEFAULT_CHAT_MODEL).withTemperature(0.7F).build());}
   }    
   

3. 继续进入OpenAiApi类查看DEFAULT_CHAT_MODEL的具体信息，可以看到使用枚举类ChatModel为DEFAULT_CHAT_MODEL赋值
   
4. 点击查看ChatModel的具体内容，可以看到这里列举了常用的gpt版本

public enum ChatModel {/*** (New) GPT-4 Turbo - latest GPT-4 model intended to reduce cases* of “laziness” where the model doesn’t complete a task.* Returns a maximum of 4,096 output tokens.* Context window: 128k tokens*/GPT_4_0125_PREVIEW("gpt-4-0125-preview"),/*** Currently points to gpt-4-0125-preview - model featuring improved* instruction following, JSON mode, reproducible outputs,* parallel function calling, and more.* Returns a maximum of 4,096 output tokens* Context window: 128k tokens*/GPT_4_TURBO_PREVIEW("gpt-4-turbo-preview"),/*** GPT-4 with the ability to understand images, in addition* to all other GPT-4 Turbo capabilities. Currently points* to gpt-4-1106-vision-preview.* Returns a maximum of 4,096 output tokens* Context window: 128k tokens*/GPT_4_VISION_PREVIEW("gpt-4-vision-preview"),/*** Currently points to gpt-4-0613.* Snapshot of gpt-4 from June 13th 2023 with improved* function calling support.* Context window: 8k tokens*/GPT_4("gpt-4"),/*** Currently points to gpt-4-32k-0613.* Snapshot of gpt-4-32k from June 13th 2023 with improved* function calling support.* Context window: 32k tokens*/GPT_4_32K("gpt-4-32k"),/***Currently points to gpt-3.5-turbo-0125.* model with higher accuracy at responding in requested* formats and a fix for a bug which caused a text* encoding issue for non-English language function calls.* Returns a maximum of 4,096* Context window: 16k tokens*/GPT_3_5_TURBO("gpt-3.5-turbo"),/*** (new) The latest GPT-3.5 Turbo model with higher accuracy* at responding in requested formats and a fix for a bug* which caused a text encoding issue for non-English* language function calls.* Returns a maximum of 4,096* Context window: 16k tokens*/GPT_3_5_TURBO_0125("gpt-3.5-turbo-0125"),/*** GPT-3.5 Turbo model with improved instruction following,* JSON mode, reproducible outputs, parallel function calling,* and more. Returns a maximum of 4,096 output tokens.* Context window: 16k tokens.*/GPT_3_5_TURBO_1106("gpt-3.5-turbo-1106");public final String  value;ChatModel(String value) {this.value = value;}public String getValue() {return value;}}

model配置

• 官方的OpenAiApi.ChatModel列举了常用gpt 版本，我们可以在配置model时直接使用，避免手动输入的错误
• 当然application.yaml配置时还需要使用字符串定义

@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();
}