feat: AI hint supports multi-turn conversation with context - hint_history list stored in conversation, accumulates across rounds - Each new hint appended, full history passed to AI as combined prompt - Format: 'hint1 → hint2 → hint3' so AI understands the conversation flow

src/summarizer.py

@@ -60,6 +60,7 @@ def ai_process(cfg: Config, user: UserConfig, acct_idx: int, mail: Email, tg_msg
         "original_recipient": mail.recipient,
         "original_reply_to": mail.reply_to,
         "original_cc": mail.cc,
+        "original_subject": mail.subject,
         "acct_idx": acct_idx,
         "account_email": mail.account_email,
         "uid": mail.uid,
@@ -89,6 +90,7 @@ def tg_send_and_mark(cfg: Config, user: UserConfig, info: dict):
             "original_recipient": info.get("original_recipient", ""),
             "original_cc": info.get("original_cc", ""),
             "original_reply_to": info.get("original_reply_to", ""),
+            "original_subject": info.get("original_subject", ""),
             "account_email": info.get("account_email", ""),
             "account_idx": info["acct_idx"],
             "sender": info["data"].get("sender", ""),

src/tg_bot.py

@@ -310,16 +310,18 @@ def _do_regen(bot_token: str, cfg: Config, chat_id: int, msg_id: int, ctx: dict,
         _show_ai_suggestions(bot_token, chat_id, msg_id, new_suggestions, comparison)
 
 
-def _do_ai_hint(bot_token: str, cfg: Config, chat_id: int, conv: dict, ctx: dict, hint: str):
-    """在 AI 线程池中根据用户提示生成回复"""
+def _do_ai_hint(bot_token: str, cfg: Config, chat_id: int, conv: dict, ctx: dict, hint_history: list[str]):
+    """在 AI 线程池中根据用户提示生成回复（支持多轮追问）"""
     user = find_user_by_chat_id(cfg, chat_id)
     if not user:
         return
     style = conv.get("reply_style", "short")
+    # 拼接历史提示作为上下文
+    combined_hint = " → ".join(hint_history)
     try:
         result = generate_more_replies(
             user.ai, ctx["sender"], ctx["subject"], ctx["original_body"],
-            conv.get("all_suggestions", []), user_hint=hint, style=style,
+            conv.get("all_suggestions", []), user_hint=combined_hint, style=style,
         )
         new_suggestions = result["suggestions"]
         comparison = result.get("comparison", "")
@@ -332,9 +334,10 @@ def _do_ai_hint(bot_token: str, cfg: Config, chat_id: int, conv: dict, ctx: dict
         conv["all_suggestions"].extend(new_suggestions)
         conv["comparison"] = comparison
         conv["state"] = "ai_reply_selection"
+        conv["hint_history"] = hint_history
         conv.pop("prompt_msg_id", None)
         save_conversation(chat_id, conv)
-        logger.info("[ai_hint] 根据提示生成 %d 条新回复", len(new_suggestions))
+        logger.info("[ai_hint] 根据提示生成 %d 条新回复 (历史 %d 条)", len(new_suggestions), len(hint_history))
         _show_ai_suggestions(bot_token, chat_id, conv["summary_msg_id"], new_suggestions, comparison)
 
 
@@ -360,7 +363,7 @@ def _handle_callback(bot_token: str, cfg: Config, cb: dict):
     action = parts[0]
 
     ctx = load_email_context(msg_id)
-    subject = ctx["subject"] if ctx else "?"
+    subject = ctx.get("original_subject") or ctx["subject"] if ctx else "?"
     logger.info("TG 回调: action=%s msg_id=%d subject=%s", action, msg_id, subject)
 
     if action == CALLBACK_VIEW_ORIG and ctx:
@@ -499,8 +502,10 @@ def _handle_callback(bot_token: str, cfg: Config, cb: dict):
         if conv and conv.get("summary_msg_id") == msg_id:
             conv["state"] = "awaiting_ai_hint"
             conv["prompt_msg_id"] = prompt_msg_id
+            if "hint_history" not in conv:
+                conv["hint_history"] = []
             save_conversation(chat_id, conv)
-            logger.info("  等待用户输入 AI 提示")
+            logger.info("  等待用户输入 AI 提示 (历史 %d 条)", len(conv["hint_history"]))
 
     elif action == CALLBACK_CANCEL:
         conv = load_conversation(chat_id)
@@ -616,13 +621,17 @@ def _handle_message(bot_token: str, cfg: Config, msg: dict):
         if prompt_msg_id:
             delete_message(bot_token, chat_id_str, prompt_msg_id)
 
+        # 追加到 hint 历史
+        hint_history = conv.get("hint_history", [])
+        hint_history.append(text)
+
         # 更新消息为 AI 思考中
         _tg_req(bot_token, "editMessageText", {
             "chat_id": chat_id, "message_id": conv["summary_msg_id"],
             "text": "🤖 *AI思考中…*", "parse_mode": "MarkdownV2",
         })
-        # 丢到 AI 线程池处理
-        _ai_pool.submit(_do_ai_hint, bot_token, cfg, chat_id, conv, ctx, text)
+        # 丢到 AI 线程池处理，传入完整 hint 历史
+        _ai_pool.submit(_do_ai_hint, bot_token, cfg, chat_id, conv, ctx, hint_history)
 
 
 def _show_ai_suggestions(bot_token: str, chat_id: int, msg_id: int,
@@ -725,7 +734,7 @@ def _do_send_reply(bot_token: str, cfg: Config,
         to_addr = parseaddr(ctx["sender"])[1]
     if not to_addr:
         to_addr = ctx["sender"]
-    subject = ctx["subject"]
+    subject = ctx.get("original_subject") or ctx["subject"]
 
     # 下载 Telegram 附件到本地
     local_files = []