feat: AI reply suggestions show as copyable code block, user edits before sending - Click suggestion -> show text in backtick code block (tap to copy) - Enter awaiting_reply state so user can edit/send like normal reply - No direct email sending on selection anymore - Tests: 3/3 passing

src/tg_bot.py

@@ -382,16 +382,26 @@ def _handle_callback(tg_cfg: TelegramConfig, cfg: Config, cb: dict):
         if idx >= len(suggestions):
             return
         sel = suggestions[idx]
-        logger.info("  选择回复 #%d: %s", idx, sel["text"][:60])
+        sel_text = sel["text"]
-        _do_send_reply(tg_cfg, cfg, chat_id, msg_id, ctx, sel["text"])
+        logger.info("  选择回复 #%d: %s", idx, sel_text[:60])
-        send_text(tg_cfg, str(chat_id), f"✅ 已发送: {sel['text']}")
+
-        delete_conversation(chat_id)
+        # 用代码块显示，点击可复制
-        can_reply = ctx.get("can_reply", True)
+        escaped = sel_text.replace("\\", "\\\\").replace("`", "\\`")
-        _tg_req(tg_cfg, "editMessageText", {
+        copy_msg = send_text(tg_cfg, str(chat_id),
-            "chat_id": chat_id, "message_id": msg_id,
+                             f"*建议回复（点击代码块复制）:*\n`{escaped}`")
-            "text": ctx["summary_text"], "parse_mode": "MarkdownV2",
+
-            "reply_markup": _summary_keyboard(can_reply),
+        # 进入 awaiting_reply 状态，用户可编辑后发送
-        })
+        prompt_msg_id = send_text(
+            tg_cfg, str(chat_id),
+            "请编辑后发送（或直接回复附件）：",
+            reply_markup=_cancel_keyboard(),
+        )
+        conv["state"] = "awaiting_reply"
+        conv["summary_msg_id"] = msg_id
+        conv["prompt_msg_id"] = prompt_msg_id
+        conv["draft_text"] = sel_text
+        save_conversation(chat_id, conv)
+        logger.info("  建议已展示，等待用户编辑发送")
 
     elif action == CALLBACK_REGEN and ctx:
         conv = load_conversation(chat_id)