feat(api): 访谈路径轻量门控、Memoir Phase1 批处理与叙事/记忆管线加固

- 新增 utterance_substance：短时/应答/元话语可跳过记忆检索、阶段 LLM 与资料抽取 LLM；可配置
- 输入归一化：LLM 模式默认仅语音/ASR；配置项写入 .env.example
- Memoir Phase1：可选 batch LLM 一次性抽取+分类（失败回退逐段）；Extraction 空槽位时阶段与 current_stage 对齐，prompt 约束收紧
- 叙事与忠实度：narrative_safety、证据重叠/场合锚点、标题 slots 与履历短语 grounded；fidelity 解析失败 fail-open 可配置
- 章节管线：锁 TTL 上调、锁竞争 Celery 重试、Phase2 immediate singleflight 等；story_pipeline_sync / chapter_compose / memoir_tasks 联动
- Memory：compaction / repo / summarizer / evidence 小修；事实 FTS 未命中是否回退最近事实可配置
- 新增 memoir_pipeline_trace；补充 memoir_reliability 文档与多项回归/门控测试

api/app/tasks/chapter_compose_tasks.py

@@ -11,6 +11,7 @@ from app.core.chapter_pipeline_lock import (
 from app.core.config import settings
 from app.core.db import get_sync_db
 from app.core.logging import get_logger
+from app.core.memoir_pipeline_trace import new_memoir_correlation_id
 from app.core.memory_compaction_schedule import schedule_memory_compaction_run
 from app.features.memoir import repo as memoir_repo
 from app.features.memoir.models import Chapter
@@ -18,7 +19,7 @@ from app.features.memoir.models import Chapter
 logger = get_logger(__name__)
 
 
-@shared_task(bind=True, max_retries=3, default_retry_delay=30)
+@shared_task(bind=True, max_retries=8, default_retry_delay=30)
 def recompose_chapter(self, chapter_id: str) -> dict:
     """
     按章节物化 canonical_markdown：仅当 markdown_compose_dirty 为 True 时执行；
@@ -43,12 +44,16 @@ def recompose_chapter(self, chapter_id: str) -> dict:
         lock_handle = acquire_chapter_pipeline_lock(uid, stage, ttl_seconds=lock_ttl)
         if lock_handle is None:
             logger.info(
-                "event=recompose_chapter status=skip_lock_contention "
-                "chapter_id={} user_id={} stage={}",
+                "event=recompose_chapter status=lock_busy_retry "
+                "chapter_id={} user_id={} stage={} retry_on_lock={}",
                 chapter_id,
                 uid,
                 stage,
+                settings.memoir_recompose_retry_on_lock_contention,
             )
+            if settings.memoir_recompose_retry_on_lock_contention:
+                countdown = max(15, min(120, lock_ttl // 4))
+                raise self.retry(countdown=countdown)
             return {"status": "skip_lock_contention"}
         try:
             composed = memoir_repo.compose_chapter_from_story_links_sync(
@@ -72,6 +77,7 @@ def recompose_chapter(self, chapter_id: str) -> dict:
                 "trigger_source": "chapter_recompose",
                 "trigger_time": datetime.now(timezone.utc).isoformat(),
                 "pipeline_run_id": str(self.request.id),
+                "memoir_correlation_id": new_memoir_correlation_id(),
                 "recomposed_chapter_ids": [chapter_id],
             },
         )