feat: AI 场景路由、ASR 服务及前后端全链路同步

- 新增 AI 场景路由控制器和管理接口
- 新增 ASR 语音识别服务及前后端集成
- 同步 AI Runtime 客户端到 Web/小程序/Life-Script
- 完善 AI 配置测试修复和管理后台路由配置
- 新增数据库迁移脚本

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

web/src/services/aiRuntime.ts

@@ -0,0 +1,100 @@
+import { envConfig } from '@/config/env'
+
+export interface AiStreamEvent {
+  type: 'start' | 'delta' | 'done' | 'error' | string
+  content?: string
+  code?: string
+  message?: string
+  seq?: number
+  metadata?: Record<string, any>
+  timestamp?: number
+}
+
+export interface StreamAiSceneOptions {
+  sceneCode: string
+  inputs?: Record<string, any>
+  onStart?: (event: AiStreamEvent) => void
+  onDelta?: (delta: string, output: string, event: AiStreamEvent) => void
+  onDone?: (event: AiStreamEvent, output: string) => void
+  onError?: (message: string, event?: AiStreamEvent) => void
+}
+
+const parseSseFrame = (frame: string): AiStreamEvent | null => {
+  const parsed = { type: 'message', data: '' }
+  frame.split(/\r?\n/).forEach((line) => {
+    if (line.startsWith('event:')) parsed.type = line.slice(6).trim()
+    if (line.startsWith('data:')) parsed.data += line.slice(5).trim()
+  })
+  if (!parsed.data) return null
+  try {
+    return JSON.parse(parsed.data)
+  } catch {
+    return { type: parsed.type, content: parsed.data }
+  }
+}
+
+export const streamAiScene = async ({
+  sceneCode,
+  inputs = {},
+  onStart,
+  onDelta,
+  onDone,
+  onError
+}: StreamAiSceneOptions): Promise<{ output: string }> => {
+  const token = localStorage.getItem('access_token')
+  const response = await fetch(`${envConfig.apiBaseUrl}/ai/runtime/stream`, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      ...(token ? { Authorization: `Bearer ${token}` } : {})
+    },
+    body: JSON.stringify({ sceneCode, inputs })
+  })
+
+  if (!response.ok || !response.body) {
+    const message = `AI流式请求失败(${response.status})`
+    onError?.(message)
+    throw new Error(message)
+  }
+
+  const reader = response.body.getReader()
+  const decoder = new TextDecoder('utf-8')
+  let buffer = ''
+  let output = ''
+
+  const consumeText = (text: string) => {
+    buffer += text
+    const frames = buffer.split(/\r?\n\r?\n/)
+    buffer = frames.pop() || ''
+    frames.forEach((frame) => {
+      const event = parseSseFrame(frame)
+      if (!event) return
+      if (event.type === 'start') {
+        onStart?.(event)
+      } else if (event.type === 'delta') {
+        const delta = event.content || ''
+        output += delta
+        onDelta?.(delta, output, event)
+      } else if (event.type === 'done') {
+        onDone?.(event, output)
+      } else if (event.type === 'error') {
+        const message = event.message || event.code || 'AI流式请求失败'
+        onError?.(message, event)
+        throw new Error(message)
+      }
+    })
+  }
+
+  while (true) {
+    const { value, done } = await reader.read()
+    if (done) break
+    consumeText(decoder.decode(value, { stream: true }))
+  }
+  consumeText(decoder.decode())
+  if (buffer.trim()) consumeText('\n\n')
+  return { output }
+}
+
+export default {
+  streamAiScene
+}