feat: add video OCR/ASR, DOCX/PDF export, input block and risk config updates

- Video pipeline: video file OCR via VLM plus audio track ASR, integrated
  into job_handlers with progress emit per phase. New media_utils.py for
  audio extraction from video files.
- Document export: richExport.js replaces inline docx builder; DOCX and PDF
  export buttons are now enabled in MilkdownEditor. File size limit raised to
  100 MB.
- Input block: new InputBlockCrepe.vue component with inputBlockPlugin.ts
  and inputBlock.js for custom user-input nodes in the editor.
- Risk config: added Vite dev server ports (5173) to CORS allowlist and
  increased OCR max input from 10 MB to 100 MB.
- TTS/ASR refactor: simplified tts_asr.py model loading and warmup logic.
- Test coverage: updated tests for llm, main endpoints, pro completions and
  web search modules.

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

backend/job_system.py

@@ -77,24 +77,6 @@ class QueueFullError(JobSystemError):
         self.max_queue = max_queue
 
 
-# 修复：添加完整的异常类实现
-class JobSystemError(RuntimeError):
-    def __init__(self, message: str = "任务系统错误", error_code: str = "job_system_error") -> None:
-        super().__init__(message)
-        self.message = message
-        self.error_code = error_code
-
-    def __str__(self) -> str:
-        return f"{self.error_code}: {self.message}"
-
-
-class QueueFullError(JobSystemError):
-    def __init__(self, job_type: str, max_queue: int) -> None:
-        super().__init__(f"{job_type} 队列已满 (当前: {max_queue}/{max_queue})", "queue_full")
-        self.job_type = job_type
-        self.max_queue = max_queue
-
-
 @dataclass(frozen=True)
 class QueueConfig:
     job_type: str
@@ -613,7 +595,14 @@ class RedisWorker:
         group = self.manager._group_name(job_type)
         semaphore = self.queue_semaphores[job_type]
         while True:
-            streams = await self.manager.redis.xreadgroup(group, self.consumer_name, {queue_key: ">"}, count=1, block=1000)
+            try:
+                streams = await self.manager.redis.xreadgroup(group, self.consumer_name, {queue_key: ">"}, count=1, block=1000)
+            except asyncio.CancelledError:
+                raise
+            except Exception as exc:
+                logger.warning("redis worker consume loop retrying type=%s error=%s", job_type, exc)
+                await asyncio.sleep(1)
+                continue
             if not streams:
                 continue
             for _, messages in streams: