fix: interview create returns HTTP 201, frontend only accepted 200

NestJS POST 默认返回 201 Created，前端 startInterview() 和
sendAnswer() 只判断 statusCode === 200 导致成功创建也落入
else 分支显示创建面试失败。改为 >= 200 && < 300。

backend/src/common/filters/all-exceptions.filter.ts

@@ -16,7 +16,7 @@ export class AllExceptionsFilter implements ExceptionFilter {
 
     const message = exception instanceof HttpException
       ? exception.getResponse()
-      : '服务器内部错误';
+      : (exception as Error)?.message || '服务器内部错误';
 
     const errorResponse = {
       code: status,

backend/src/modules/interview/interview.service.ts

@@ -1,4 +1,4 @@
-import { Injectable, HttpException, HttpStatus } from '@nestjs/common'
+import { Injectable, HttpException, HttpStatus, Logger } from '@nestjs/common'
 import { InjectModel } from '@nestjs/mongoose'
 import { Model } from 'mongoose'
 import { Interview, InterviewDocument } from './interview.schema'
@@ -11,6 +11,8 @@ import { analyzeSpeech } from '../../common/utils/filler-words'
 
 @Injectable()
 export class InterviewService {
+  private readonly logger = new Logger(InterviewService.name)
+
   constructor(
     @InjectModel(Interview.name) private interviewModel: Model<InterviewDocument>,
     @InjectModel(Progress.name) private progressModel: Model<ProgressDocument>,
@@ -25,11 +27,17 @@ export class InterviewService {
     const cost = await this.quotaService.checkInterview(userId)
 
     // Step 2: AI 生成第一个问题
-    const firstQuestion = await this.aiService.call({
+    let firstQuestion: string
-      systemPrompt: `你是一位专业的${position}面试官。请针对校招该岗位提出第一个面试问题，要求具体且有针对性。直接输出问题，不要多余内容。`,
+    try {
-      userMessage: `请为${position}岗位的校招候选人提出第一个面试问题。`,
+      firstQuestion = await this.aiService.call({
-      temperature: 0.8,
+        systemPrompt: `你是一位专业的${position}面试官。请针对校招该岗位提出第一个面试问题，要求具体且有针对性。直接输出问题，不要多余内容。`,
-    })
+        userMessage: `请为${position}岗位的校招候选人提出第一个面试问题。`,
+        temperature: 0.8,
+      })
+    } catch (e) {
+      this.logger.error(`AI call failed for interview create: ${(e as Error).message}`)
+      throw new HttpException('AI 服务暂时不可用，请稍后重试', HttpStatus.SERVICE_UNAVAILABLE)
+    }
 
     // Step 3: AI 调用成功后，扣除引力值并创建面试记录
     await this.quotaService.deductInterview(userId, cost)

zhiyin-app/src/pages/interview/interview.vue

@@ -224,7 +224,7 @@ const startInterview = async () => {
       header: { 'Authorization': `Bearer ${token()}`, 'Content-Type': 'application/json' },
       data: { position: position.value },
     })
-    if (res.statusCode === 200 && res.data) {
+    if (res.statusCode >= 200 && res.statusCode < 300 && res.data) {
       interviewId.value = res.data.id
       messages.value = res.data.messages || messages.value
       answeredCount.value = res.data.questionCount || 0
@@ -242,7 +242,8 @@ const startInterview = async () => {
     } else if (checkAuth(res)) {
       return // token 过期，已清除并跳转登录
     } else {
-      const msg = res.data?.message || '创建面试失败'
+      const errMsg = typeof res.data === 'string' ? res.data : (res.data?.message || '')
+      const msg = errMsg || `创建面试失败（${res.statusCode}）`
       messages.value.push({ role: 'ai', content: msg })
     }
   } catch {
@@ -273,7 +274,7 @@ const sendAnswer = async () => {
       header: { 'Authorization': `Bearer ${token()}`, 'Content-Type': 'application/json' },
       data: avatarMode.value ? { answer, avatar: true } : { answer },
     })
-    if (res.statusCode === 200 && res.data?.messages) {
+    if (res.statusCode >= 200 && res.statusCode < 300 && res.data?.messages) {
       const aiMsg = res.data.messages.find(m => m.role === 'ai')
       // Only push AI messages from response to avoid duplicating the user message already added above
       const newAiMessages = res.data.messages.filter(m => m.role === 'ai')