ai问片支持非流式响应

src/app/admin/page.tsx

@@ -9108,6 +9108,7 @@ const AIConfigComponent = ({
   const [temperature, setTemperature] = useState(0.7);
   const [maxTokens, setMaxTokens] = useState(1000);
   const [systemPrompt, setSystemPrompt] = useState('');
+  const [enableStreaming, setEnableStreaming] = useState(true);
 
   // AI默认消息配置
   const [defaultMessageNoVideo, setDefaultMessageNoVideo] = useState('');
@@ -9133,6 +9134,7 @@ const AIConfigComponent = ({
       setTemperature(config.AIConfig.Temperature ?? 0.7);
       setMaxTokens(config.AIConfig.MaxTokens ?? 1000);
       setSystemPrompt(config.AIConfig.SystemPrompt || '');
+      setEnableStreaming(config.AIConfig.EnableStreaming !== false);
       setDefaultMessageNoVideo(config.AIConfig.DefaultMessageNoVideo || '');
       setDefaultMessageWithVideo(config.AIConfig.DefaultMessageWithVideo || '');
     }
@@ -9165,6 +9167,7 @@ const AIConfigComponent = ({
             Temperature: temperature,
             MaxTokens: maxTokens,
             SystemPrompt: systemPrompt,
+            EnableStreaming: enableStreaming,
             DefaultMessageNoVideo: defaultMessageNoVideo,
             DefaultMessageWithVideo: defaultMessageWithVideo,
           }),
@@ -9517,16 +9520,40 @@ const AIConfigComponent = ({
 
           <div>
             <label className='block text-sm font-medium text-gray-700 dark:text-gray-300 mb-2'>
-              自定义系统提示词
+           自定义系统提示词
             </label>
             <textarea
-              value={systemPrompt}
+        value={systemPrompt}
               onChange={(e) => setSystemPrompt(e.target.value)}
               rows={4}
               placeholder='可自定义AI的角色和行为规则...'
               className='w-full px-3 py-2 border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-700 text-gray-900 dark:text-gray-100'
             />
           </div>
+
+          {/* 流式响应开关 */}
+          <div className='flex items-center justify-between py-3 border-t border-gray-200 dark:border-gray-700'>
+            <div className='flex-1'>
+              <label className='text-sm font-medium text-gray-700 dark:text-gray-300'>
+                流式响应
+              </label>
+              <p className='text-xs text-gray-500 dark:text-gray-400 mt-1'>
+                启用后AI消息将实时流式显示，关闭后将等待完整响应后一次性显示
+              </p>
+            </div>
+            <button
+              onClick={() => setEnableStreaming(!enableStreaming)}
+              className={`relative inline-flex h-6 w-11 items-center rounded-full transition-colors ${
+          enableStreaming ? 'bg-blue-600' : 'bg-gray-200 dark:bg-gray-700'
+              }`}
+            >
+              <span
+                className={`inline-block h-4 w-4 transform rounded-full bg-white transition-transform ${
+                  enableStreaming ? 'translate-x-6' : 'translate-x-1'
+                }`}
+              />
+            </button>
+          </div>
         </div>
     </details>
 

src/app/api/admin/ai/route.ts

@@ -61,6 +61,7 @@ export async function POST(request: NextRequest) {
       Temperature,
       MaxTokens,
       SystemPrompt,
+      EnableStreaming,
       DefaultMessageNoVideo,
       DefaultMessageWithVideo,
     } = body as {
@@ -96,6 +97,7 @@ export async function POST(request: NextRequest) {
       Temperature?: number;
       MaxTokens?: number;
       SystemPrompt?: string;
+      EnableStreaming?: boolean;
       DefaultMessageNoVideo?: string;
       DefaultMessageWithVideo?: string;
     };
@@ -133,7 +135,8 @@ export async function POST(request: NextRequest) {
       typeof AllowRegularUsers !== 'boolean' ||
       (Temperature !== undefined && typeof Temperature !== 'number') ||
       (MaxTokens !== undefined && typeof MaxTokens !== 'number') ||
-      (SystemPrompt !== undefined && typeof SystemPrompt !== 'string')
+      (SystemPrompt !== undefined && typeof SystemPrompt !== 'string') ||
+      (EnableStreaming !== undefined && typeof EnableStreaming !== 'boolean')
     ) {
       return NextResponse.json({ error: '参数格式错误' }, { status: 400 });
     }
@@ -182,6 +185,7 @@ export async function POST(request: NextRequest) {
       Temperature,
       MaxTokens,
       SystemPrompt,
+      EnableStreaming,
       DefaultMessageNoVideo,
       DefaultMessageWithVideo,
     };

src/app/api/ai/chat/route.ts

@@ -34,8 +34,9 @@ async function streamOpenAIChat(
     model: string;
     temperature: number;
     maxTokens: number;
-  }
+  },
-): Promise<ReadableStream> {
+  enableStreaming: boolean = true
+): Promise<ReadableStream | Response> {
   const response = await fetch(`${config.baseURL}/chat/completions`, {
     method: 'POST',
     headers: {
@@ -47,7 +48,7 @@ async function streamOpenAIChat(
       messages,
       temperature: config.temperature,
       max_tokens: config.maxTokens,
-      stream: true,
+      stream: enableStreaming,
     }),
   });
 
@@ -57,7 +58,7 @@ async function streamOpenAIChat(
     );
   }
 
-  return response.body!;
+  return enableStreaming ? response.body! : response;
 }
 
 /**
@@ -265,6 +266,7 @@ export async function POST(request: NextRequest) {
     // 6. 调用自定义API
     const temperature = aiConfig.Temperature ?? 0.7;
     const maxTokens = aiConfig.MaxTokens ?? 1000;
+    const enableStreaming = aiConfig.EnableStreaming !== false; // 默认启用流式响应
 
     if (!aiConfig.CustomApiKey || !aiConfig.CustomBaseURL) {
       return NextResponse.json(
@@ -273,24 +275,34 @@ export async function POST(request: NextRequest) {
       );
     }
 
-    const stream = await streamOpenAIChat(messages, {
+    const result = await streamOpenAIChat(messages, {
       apiKey: aiConfig.CustomApiKey,
       baseURL: aiConfig.CustomBaseURL,
       model: aiConfig.CustomModel || 'gpt-3.5-turbo',
       temperature,
       maxTokens,
-    });
+    }, enableStreaming);
 
-    // 7. 转换为SSE格式并返回
+    // 7. 根据是否启用流式响应返回不同格式
-    const sseStream = transformToSSE(stream, 'openai');
+    if (enableStreaming) {
+      // 流式响应：转换为SSE格式并返回
+      const sseStream = transformToSSE(result as ReadableStream, 'openai');
 
-    return new NextResponse(sseStream, {
+      return new NextResponse(sseStream, {
-      headers: {
+        headers: {
-        'Content-Type': 'text/event-stream',
+          'Content-Type': 'text/event-stream',
-        'Cache-Control': 'no-cache',
+          'Cache-Control': 'no-cache',
-        Connection: 'keep-alive',
+          Connection: 'keep-alive',
-      },
+        },
-    });
+      });
+    } else {
+      // 非流式响应：等待完整响应后返回JSON
+      const response = result as Response;
+      const data = await response.json();
+      const content = data.choices?.[0]?.message?.content || '';
+
+      return NextResponse.json({ content });
+    }
   } catch (error) {
     console.error('❌ AI聊天API错误:', error);
     return NextResponse.json(

src/components/AIChatPanel.tsx

@@ -152,63 +152,82 @@ export default function AIChatPanel({
         body: JSON.stringify({
           message: userMessage,
           context,
-          history: messages.filter((m) => m.role !== 'assistant' || m.content !== welcomeMessage),
+    history: messages.filter((m) => m.role !== 'assistant' || m.content !== welcomeMessage),
         }),
       });
 
       if (!response.ok) {
         const errorData = await response.json().catch(() => ({}));
-        const errorMsg = errorData.error || errorData.details || `请求失败 (${response.status})`;
+     const errorMsg = errorData.error || errorData.details || `请求失败 (${response.status})`;
         throw new Error(errorMsg);
       }
 
-      // 处理流式响应
+      // 检查响应类型：流式(text/event-stream)或非流式(application/json)
-      const reader = response.body?.getReader();
+      const contentType = response.headers.get('content-type');
-      const decoder = new TextDecoder();
 
-      if (!reader) {
+      if (contentType?.includes('text/event-stream')) {
-        throw new Error('无法读取响应流');
+        // 处理流式响应
-      }
+        const reader = response.body?.getReader();
+        const decoder = new TextDecoder();
 
-      let assistantMessage = '';
+        if (!reader) {
+          throw new Error('无法读取响应流');
+        }
 
-      while (true) {
+        let assistantMessage = '';
-        const { done, value } = await reader.read();
-        if (done) break;
 
-        const chunk = decoder.decode(value, { stream: true });
+        while (true) {
-        const lines = chunk.split('\n').filter((line) => line.trim() !== '');
+          const { done, value } = await reader.read();
+          if (done) break;
 
-        for (const line of lines) {
+          const chunk = decoder.decode(value, { stream: true });
-          if (line.startsWith('data: ')) {
+          const lines = chunk.split('\n').filter((line) => line.trim() !== '');
-            const data = line.slice(6);
 
-            if (data === '[DONE]') {
+          for (const line of lines) {
-              break;
+            if (line.startsWith('data: ')) {
-            }
+              const data = line.slice(6);
 
-            try {
+              if (data === '[DONE]') {
-              const json = JSON.parse(data);
+                break;
-              const text = json.text || '';
+              }
 
-              if (text) {
+              try {
-                assistantMessage += text;
+                const json = JSON.parse(data);
+                const text = json.text || '';
 
-                // 更新最后一条消息
+                if (text) {
-                setMessages((prev) => {
+                  assistantMessage += text;
-                  const newMessages = [...prev];
+
-                  newMessages[newMessages.length - 1] = {
+              // 更新最后一条消息
-                    role: 'assistant',
+                  setMessages((prev) => {
-                    content: assistantMessage,
+                    const newMessages = [...prev];
-                  };
+                    newMessages[newMessages.length - 1] = {
-                  return newMessages;
+                      role: 'assistant',
-                });
+                      content: assistantMessage,
+               };
+                    return newMessages;
+                  });
+                }
+              } catch (e) {
+                console.error('解析SSE数据失败:', e);
               }
-            } catch (e) {
-              console.error('解析SSE数据失败:', e);
             }
           }
         }
+      } else {
+        // 处理非流式响应
+        const data = await response.json();
+        const content = data.content || '';
+
+        // 更新最后一条消息为完整响应
+        setMessages((prev) => {
+          const newMessages = [...prev];
+          newMessages[newMessages.length - 1] = {
+            role: 'assistant',
+            content: content,
+          };
+          return newMessages;
+        });
       }
     } catch (error) {
       console.error('发送消息失败:', error);

src/lib/admin.types.ts

@@ -158,6 +158,7 @@ export interface AdminConfig {
     Temperature?: number; // AI温度参数（0-2），默认0.7
     MaxTokens?: number; // 最大回复token数，默认1000
     SystemPrompt?: string; // 自定义系统提示词
+    EnableStreaming?: boolean; // 是否启用流式响应，默认true
     // AI问片默认消息配置
     DefaultMessageNoVideo?: string; // 无视频时的默认消息
     DefaultMessageWithVideo?: string; // 有视频时的默认消息（支持 {title} 替换符）