feat: 回忆录证据血缘与内部评测可追溯，顺带对齐本地评测台与 CI

数据库与模型：新增多版迁移（章节证据快照、对话血缘、记忆事实/时间线 lineage 等），把「成稿 ↔ 对话/记忆」的溯源信息落到表结构里。
业务链路：会话与 WS、回忆录/故事流水线、记忆写入与 enrichment 等跟着接上线索与快照；新增章节证据快照与评测侧 EvalTraceService 等模块，方便组评审用的证据包。
内部评测：自动化 run 与手工 memoir 评审共用可追溯证据；rubric/ judge 相关脚本与文档有配套调整。
app-eval-web：Memoir/实验详情里能展开看证据摘要与 evidence_trace（含对话轮次 id）；Vite 代理与 development.sh 注入的 API 端口与当前默认内部评测端口一致，避免改端口后页面连错服务。
工程杂项：GitHub Actions / 仓库说明有更新；各适配器与支付/配额/plan 等多处为小改动或跟随主改动的收尾；新增/扩充了?

api/app/agents/memoir/batch_phase1_prep.py

@@ -9,8 +9,8 @@ from typing import Any, Dict, List
 
 from app.agents.memoir.prompts import get_batch_memoir_phase1_prep_prompt
 from app.agents.memoir.schemas import BatchPhase1LLMOutput
-from app.agents.state_schema import MemoirStateSchema
 from app.agents.stage_constants import STAGE_SLOT_KEYS
+from app.agents.state_schema import MemoirStateSchema
 from app.core.config import settings
 from app.core.llm_call import LLMCallError, llm_json_call
 from app.core.logging import get_logger

api/app/agents/memoir/classification_agent.py

@@ -13,6 +13,8 @@ import re
 from dataclasses import dataclass
 from typing import Any
 
+from pydantic import ValidationError
+
 from app.agents.memoir.prompts import get_chapter_classification_json_prompt
 from app.agents.memoir.schemas import ClassificationOutput
 from app.agents.stage_constants import (
@@ -22,7 +24,7 @@ from app.agents.stage_constants import (
 )
 from app.core.config import settings
 from app.core.json_utils import extract_json_payload
-from app.core.llm_call import llm_json_call
+from app.core.llm_call import LLMCallError, llm_json_call
 from app.core.logging import get_logger
 
 logger = get_logger(__name__)
@@ -159,7 +161,7 @@ class ClassificationAgent:
                     )
                 if category in CHAPTER_CATEGORIES:
                     return ChapterClassifyResult(category=category, llm_said_none=False)
-            except Exception as e:
+            except (LLMCallError, ValidationError, ValueError, KeyError) as e:
                 logger.warning("ClassificationAgent LLM 章节分类失败: {}", e)
 
         stage = _detect_stage(text, fallback_stage)

api/app/agents/memoir/narrative_agent.py

@@ -7,13 +7,13 @@ from __future__ import annotations
 
 from typing import Any, Dict, Optional
 
-from app.agents.stage_constants import CHAPTER_CATEGORIES
 from app.agents.memoir.prompts import (
     get_creative_title_json_prompt,
     get_narrative_json_prompt,
     get_narrative_merge_json_prompt,
 )
 from app.agents.memoir.schemas import MemoirTitleOutput
+from app.agents.stage_constants import CHAPTER_CATEGORIES
 from app.core.config import settings
 from app.core.langchain_llm import invoke_json_object
 from app.core.llm_call import llm_json_call

api/app/agents/memoir/orchestrator.py

@@ -16,11 +16,11 @@ from app.agents.memoir.batch_phase1_prep import (
 )
 from app.agents.memoir.classification_agent import (
     ClassificationAgent,
+    _looks_like_fragment_only,
 )
 from app.agents.memoir.classification_agent import (
     _detect_stage as detect_stage_from_keywords,
 )
-from app.agents.memoir.classification_agent import _looks_like_fragment_only
 from app.agents.memoir.extraction_agent import ExtractionAgent, ExtractionResult
 from app.agents.stage_constants import normalize_chapter_category, normalize_chat_stage
 from app.agents.state_schema import MemoirStateSchema

api/app/agents/memoir/prompts.py

@@ -10,10 +10,7 @@ from typing import Optional
 from app.agents.chat.background_voice import get_background_voice_narrative_block
 from app.agents.chat.occupation_context import get_occupation_narrative_hint
 from app.agents.stage_constants import STAGE_ERA_HINTS, STAGE_SLOT_KEYS
-from app.features.memory.evidence_format import (
-    dedupe_evidence_chunk_rows,
-    format_evidence_chunks_for_prompt,
-)
+from app.features.memory.evidence_format import format_evidence_chunks_for_prompt
 
 
 def _memoir_fidelity_core_rules() -> str:
@@ -581,6 +578,3 @@ def format_narrative_user_content(oral_text: str, evidence_text: str = "") -> st
         "【仅供参考的相关记忆摘录（非本段口述；不得把其中具体事实写成本轮亲历经历，仅可作主题衔接）】\n"
         f"{ev}"
     )
-
-
-# dedupe_evidence_chunk_rows / format_evidence_chunks_for_prompt 见 app.features.memory.evidence_format

api/app/agents/memoir/story_route_payload.py

@@ -9,7 +9,7 @@ from __future__ import annotations
 import json
 import re
 from datetime import timezone
-from typing import Any, TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 if TYPE_CHECKING:
     from app.core.config import Settings