feat(agent): align prompts and runtime with workflow@20261020

- archive workflow/20261020 export (diff vs 20261016: collection prompt
  only - state-decides-body rule, route when info complete)
- prompts: collection.md updated; 6 photo/confirm prompts archived with
  source nodeIds; render_prompt replaces {{$vars}} (Asia/Shanghai clock,
  person fields, explicit 'not provided' for missing prefills)
- llm: message history passed as user/assistant roles (chatNode history=50);
  optional LLM_TEMPERATURE; FakeLLMService supports history-aware responders
- collect: context via system supplement, raw user input as user message
  (Text Editor#2 parity), shared validated_reply (one call, one repair)
- welcome: Assigned Reply#3 original text, stored in dialogue history
- transitions: 2004 plate-confirm entries (2003->2004/2005, 2004->2005)
- verified: prompt files byte-identical to workflow JSON (parametrized test)

src/agent/state.py

@@ -42,7 +42,12 @@ class AgentState(TypedDict):
     turn_patch: dict            # 本轮输出字段差量；每轮开始清空（作业 3-7）
     state_version: int          # 业务版本（作业 7 并发冲突检测）
 
-    # ---- 对话历史（作业 4-5） ----
+    # ---- 对话上下文（作业 4/5） ----
     # 已交换的消息列表 [{"role": "user"/"assistant", "content": str}]，
     # 用于注入提示词，让模型跳过已知信息；可序列化，随 checkpoint 持久化。
     dialogue: list
+    client_mode: str     # direct / browser_addon（LangGraphBackend 注入）
+
+    # ---- 信息核实（作业 5） ----
+    person_index: int    # 当前核实的驾驶员序号（双车：1/2）
+    # pending_question 复用作业 3 字段：当前待回答问题 ID（如 "owner_identity"）