diff --git a/apps/worker/worker_app/tasks/viral_video.py b/apps/worker/worker_app/tasks/viral_video.py
index ce37f9206..28d2925e7 100644
--- a/apps/worker/worker_app/tasks/viral_video.py
+++ b/apps/worker/worker_app/tasks/viral_video.py
@@ -598,7 +598,9 @@ def _step_intent_parsing(job: ViralVideoJob, image_analysis: dict) -> dict:
     for _m, _lbl in [(_fast, "fast"), (_pro, "pro-fallback")]:
         try:
             logger.info("[爆款视频] 意图解析 model=%s label=%s", _m, _lbl)
-            result = call_llm(prompt, temperature=0.4, max_tokens=800, model=_m, timeout=60)  # #2183: pro 实测800tok约40s，给60s
+            result = call_llm(
+                prompt, temperature=0.4, max_tokens=800, model=_m, timeout=60
+            )  # #2183: pro 实测800tok约40s，给60s
             return (
                 result
                 if isinstance(result, dict)
@@ -1259,6 +1261,7 @@ def _step_render(job: ViralVideoJob, copy_result: dict, tts_audio_url: str | Non
         )
         try:
             from packages.shared.ai_service import preheat_trust_chain
+
             _ia = getattr(job, "image_analysis", None) or {}
             _prods = (_ia.get("products") if isinstance(_ia, dict) else None) or []
             _pdescs = []
@@ -1276,12 +1279,14 @@ def _step_render(job: ViralVideoJob, copy_result: dict, tts_audio_url: str | Non
                     pre_trusted = list(_live_urls)
                     logger.info(
                         "[爆款视频] 现场信任链t2i完成 %d张 耗时%.1fs，将用AI人像传Seedance",
-                        len(pre_trusted), time.time()-_t0,
+                        len(pre_trusted),
+                        time.time() - _t0,
                     )
                 else:
                     logger.warning(
                         "[爆款视频] 现场信任链t2i返回不匹配 urls=%s n_portraits=%d，回退原图+400降级纯t2v",
-                        _live_urls, len(all_portrait_urls),
+                        _live_urls,
+                        len(all_portrait_urls),
                     )
             else:
                 logger.info("[爆款视频] 无有效人物描述（可能是商品图），无需现场跑信任链")
@@ -1594,7 +1599,13 @@ def run_viral_video_analyze(self: Task, job_id: str) -> dict:
             except Exception as _e:
                 logger.warning("[爆款视频][阶段1] 启动信任链t2i预热失败: %s", _e)
         _save_job(repo, job, session)
-        _emit_progress(job_id, ViralVideoStage.IMAGE_ANALYSIS, 60.0, "图片分析完成，AI人像预热中...", {"result": image_analysis, "trust_chain_preheating": True})
+        _emit_progress(
+            job_id,
+            ViralVideoStage.IMAGE_ANALYSIS,
+            60.0,
+            "图片分析完成，AI人像预热中...",
+            {"result": image_analysis, "trust_chain_preheating": True},
+        )
 
         style_guide = None
         if job.reference_video_url or job.style_template_id:
diff --git a/packages/shared/ai_client.py b/packages/shared/ai_client.py
index 5e115cf63..5e45ca31f 100755
--- a/packages/shared/ai_client.py
+++ b/packages/shared/ai_client.py
@@ -765,15 +765,13 @@ class DoubaoClient:
 
         # #2183: portrait_intercept / 真人肖像审核拦截 → 去掉所有参考图（含image_url首帧），纯 t2v 重试一次
         # 信任链预热或现场 t2i 都失败时的最后兜底，保证能出片
-        if (
-            not task_id
-            and sc == 400
-        ):
+        if not task_id and sc == 400:
             _err_code_for_400, _ = _classify_video_error(sc, body, last_err)
             if _err_code_for_400 == "portrait_intercept" and (image_url or ref_imgs):
                 logger.warning(
                     "Seedance 创建因 portrait_intercept 失败，降级纯 t2v（移除所有参考图）重试: img=%d ref=%d",
-                    1 if image_url else 0, len(ref_imgs),
+                    1 if image_url else 0,
+                    len(ref_imgs),
                 )
                 _t2v_payload = dict(create_payload)
                 _t2v_payload["content"] = [{"type": "text", "text": prompt.strip()}]