fix: gpt35 4k

client/src/service/events/generateQA.ts

@@ -87,7 +87,7 @@ export async function generateQA(): Promise<any> {
     // 请求 chatgpt 获取回答
     const response = await Promise.all(
       [data.q].map((text) =>
-        modelServiceToolMap[OpenAiChatEnum.GPT35]
+        modelServiceToolMap[OpenAiChatEnum.GPT3516k]
           .chatCompletion({
             apiKey: systemAuthKey,
             temperature: 0.8,

client/src/service/events/pushBill.ts

@@ -104,7 +104,7 @@ export const pushSplitDataBill = async ({
     await connectToDatabase();
 
     // 获取模型单价格, 都是用 gpt35 拆分
-    const unitPrice = ChatModelMap[OpenAiChatEnum.GPT35].price || 3;
+    const unitPrice = ChatModelMap[OpenAiChatEnum.GPT3516k].price || 3;
     // 计算价格
     const price = unitPrice * totalTokens;
 
@@ -112,7 +112,7 @@ export const pushSplitDataBill = async ({
     const res = await Bill.create({
       userId,
       type,
-      modelName: OpenAiChatEnum.GPT35,
+      modelName: OpenAiChatEnum.GPT3516k,
       textLen,
       tokenLen: totalTokens,
       price

client/src/service/models/model.ts

@@ -57,7 +57,7 @@ const ModelSchema = new Schema({
       // 聊天时使用的模型
       type: String,
       enum: Object.keys(ChatModelMap),
-      default: OpenAiChatEnum.GPT35
+      default: OpenAiChatEnum.GPT3516k
     }
   },
   share: {

client/src/service/utils/auth.ts

@@ -162,6 +162,10 @@ export const getApiKey = async ({
       userOpenAiKey: user.openaiKey || '',
       systemAuthKey: getSystemOpenAiKey(type) as string
     },
+    [OpenAiChatEnum.GPT3516k]: {
+      userOpenAiKey: user.openaiKey || '',
+      systemAuthKey: getSystemOpenAiKey(type) as string
+    },
     [OpenAiChatEnum.GPT4]: {
       userOpenAiKey: user.openaiKey || '',
       systemAuthKey: getGpt4Key() as string

client/src/service/utils/chat/index.ts

@@ -48,6 +48,15 @@ export const modelServiceToolMap: Record<
         ...data
       })
   },
+  [OpenAiChatEnum.GPT3516k]: {
+    chatCompletion: (data: ChatCompletionType) =>
+      chatResponse({ model: OpenAiChatEnum.GPT3516k, ...data }),
+    streamResponse: (data: StreamResponseType) =>
+      openAiStreamResponse({
+        model: OpenAiChatEnum.GPT3516k,
+        ...data
+      })
+  },
   [OpenAiChatEnum.GPT4]: {
     chatCompletion: (data: ChatCompletionType) =>
       chatResponse({ model: OpenAiChatEnum.GPT4, ...data }),