AI 提问追问环境demo 添加

vetti-common/src/main/java/com/vetti/common/ai/gpt/OpenAiStreamClient.java

@@ -10,6 +10,7 @@ import org.springframework.stereotype.Component;
 
 import java.io.IOException;
 import java.util.HashMap;
+import java.util.List;
 import java.util.Map;
 import java.util.concurrent.TimeUnit;
 
@@ -37,10 +38,10 @@ public class OpenAiStreamClient {
     /**
      * 发送流式请求
      *
-     * @param prompt   提示词
+     * @param promptJson   提示词json数据集合
      * @param listener 流式响应监听器
      */
-    public void streamChat(String prompt, OpenAiStreamListenerService listener) {
+    public void streamChat(String promptJson, OpenAiStreamListenerService listener) {
         OkHttpClient client = new OkHttpClient.Builder()
                 .connectTimeout(30, TimeUnit.SECONDS)
                 .readTimeout(60, TimeUnit.SECONDS)
@@ -53,13 +54,18 @@ public class OpenAiStreamClient {
         Map<String, Object> requestBody = new HashMap<>();
         requestBody.put("model", model);
         requestBody.put("stream", true);
-
         // 构建消息
-        Map<String, String> message = new HashMap<>();
-        message.put("role", role);
-        message.put("content", prompt);
-        requestBody.put("messages", new Object[]{message});
-
+        if(StrUtil.isNotEmpty(promptJson)) {
+            List<Map> promptList = JSONUtil.toList(promptJson, Map.class);
+            Object[] objects = new Object[promptList.size()];
+            for (int i = 0; i < promptList.size(); i++) {
+                objects[i] = promptList.get(i);
+            }
+            //获取到的提示
+            requestBody.put("messages", objects);
+        }
+        //开始给AI发送请求数据
+        System.out.println("请求AI数据参数为:"+JSONUtil.toJsonStr(requestBody));
         // 创建请求
         Request request = new Request.Builder()
                 .url(apiUrl)