fix: prompts filter

src/pages/api/chat/chat.ts

@@ -129,7 +129,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     );
 
     // 发出 chat 请求
-    const { streamResponse } = await modelServiceToolMap[model.chat.chatModel].chatCompletion({
+    const { streamResponse, responseMessages } = await modelServiceToolMap[
+      model.chat.chatModel
+    ].chatCompletion({
       apiKey: userOpenAiKey || systemAuthKey,
       temperature: +temperature,
       messages: prompts,
@@ -147,7 +149,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         model: model.chat.chatModel,
         res,
         chatResponse: streamResponse,
-        prompts
+        prompts: responseMessages
       });
 
       // save chat

src/pages/api/chat/shareChat/chat.ts

@@ -88,7 +88,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     );
 
     // 发出请求
-    const { streamResponse } = await modelServiceToolMap[model.chat.chatModel].chatCompletion({
+    const { streamResponse, responseMessages } = await modelServiceToolMap[
+      model.chat.chatModel
+    ].chatCompletion({
       apiKey: userOpenAiKey || systemAuthKey,
       temperature: +temperature,
       messages: prompts,
@@ -106,7 +108,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         model: model.chat.chatModel,
         res,
         chatResponse: streamResponse,
-        prompts
+        prompts: responseMessages
       });
 
       res.end();

src/pages/api/openapi/chat/chat.ts

@@ -140,7 +140,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
             model: model.chat.chatModel,
             res,
             chatResponse: streamResponse,
-            prompts
+            prompts: responseMessages
           });
           res.end();
           return {

src/service/utils/chat/openai.ts

@@ -104,6 +104,7 @@ export const openAiStreamResponse = async ({
       obj: ChatRoleEnum.AI,
       value: responseContent
     });
+
     const totalTokens = modelToolMap[model].countTokens({
       messages: finishMessages
     });