refactor(eval+memoir)：精简内部评测路由与服务，composite/对话摘要与 judge 能力补强

- 访谈：新增 interview_state_hints，联动 orchestrator 与提示词
- 回忆录：story_pipeline_sync/state/memory/post_commit 与 Celery 任务调整
- 基建：开发用 celery broker、compose/development 脚本、依赖注入
- eval-web：移除数据集/实验/版本等页面与流式轮询，突出 Playground
- 文档与单测同步

api/app/agents/chat/orchestrator.py

@@ -12,6 +12,10 @@ from sqlalchemy.ext.asyncio import AsyncSession
 from app.agents.chat.agent_turn import AgentChatTurn
 from app.agents.chat.helpers import get_history_with_window
 from app.agents.chat.interview_agent import InterviewAgent
+from app.agents.chat.interview_state_hints import (
+    build_runtime_interview_state,
+    extract_scene_cues,
+)
 from app.agents.chat.profile_agent import ProfileAgent
 from app.agents.chat.stage_detection import (
     detect_primary_life_stage,
@@ -23,7 +27,11 @@ from app.core.config import settings
 from app.core.dependencies import get_llm_provider
 from app.core.logging import get_logger
 from app.features.conversation.input_normalize import normalize_chat_input_for_agent
-from app.features.memoir.state_service import get_or_create_state, switch_stage
+from app.features.memoir.state_service import (
+    get_or_create_state,
+    save_interview_state_meta,
+    switch_stage,
+)
 
 
 def _llm_for_chat_input_normalize():
@@ -275,6 +283,13 @@ class ChatOrchestrator:
         memory_evidence_text, mem_trace = await _fetch_interview_memory_evidence(
             db, user_id, normalized_user_message
         )
+        scene_cues = extract_scene_cues(normalized_user_message)
+        if scene_cues:
+            cue_block = "\n".join(f"- {c}" for c in scene_cues)
+            scene_hint = (
+                f"\n\n[场景氛围提示——可借用这些感官细节自然接话，不要原样抄]\n{cue_block}"
+            )
+            memory_evidence_text = (memory_evidence_text or "") + scene_hint
 
         profile_birth_year = user.birth_year if user else None
         profile_era_place = ""
@@ -282,11 +297,20 @@ class ChatOrchestrator:
             profile_era_place = (
                 (user.birth_place or user.grew_up_place or "").strip()
             )
+        prompt_state = build_runtime_interview_state(
+            state,
+            user_message=normalized_user_message,
+            active_stage=detected or state.current_stage,
+            birth_year=profile_birth_year,
+            birth_place=(user.birth_place or "").strip() if user else "",
+            grew_up_place=(user.grew_up_place or "").strip() if user else "",
+            occupation=occupation,
+        )
 
         turn = await self.interview_agent.generate_response_with_state(
             conversation_id=conversation_id,
             user_message=user_message,
-            memoir_state=state,
+            memoir_state=prompt_state,
             user_profile_context=user_profile_context,
             detected_user_stage=detected,
             memory_evidence_text=memory_evidence_text,
@@ -296,6 +320,20 @@ class ChatOrchestrator:
             profile_birth_year=profile_birth_year,
             profile_era_place=profile_era_place,
         )
+        recent_questions = prompt_state.recent_questions
+        if turn.interview_state_meta and isinstance(turn.interview_state_meta, dict):
+            raw_recent = turn.interview_state_meta.get("recent_questions")
+            if isinstance(raw_recent, list):
+                recent_questions = [
+                    str(x).strip() for x in raw_recent if str(x).strip()
+                ]
+        await save_interview_state_meta(
+            user_id,
+            known_facts=prompt_state.known_facts,
+            persona_threads=prompt_state.persona_threads,
+            recent_questions=recent_questions,
+            db=db,
+        )
         if agent_summary_enabled():
             logger.info(
                 "ChatOrchestrator.process_user_message route=interview "
@@ -311,6 +349,7 @@ class ChatOrchestrator:
                 messages=turn.messages,
                 skip_tts=turn.skip_tts,
                 memory_retrieval_trace=mem_trace,
+                interview_state_meta=turn.interview_state_meta,
             )
         return turn