From 2b0b142f95b50f843a9039b1f1c45e2e1adbcb33 Mon Sep 17 00:00:00 2001
From: Apple <apple@MacBook-Pro.local>
Date: Sat, 21 Feb 2026 00:05:09 -0800
Subject: [PATCH] gateway: fix greeting UX and reduce false photo-intent
 fallbacks

---
 gateway-bot/http_api.py | 70 +++++++++++++++++++++++++++++++----------
 1 file changed, 54 insertions(+), 16 deletions(-)

diff --git a/gateway-bot/http_api.py b/gateway-bot/http_api.py
index e644470f..fbdc2a17 100644
--- a/gateway-bot/http_api.py
+++ b/gateway-bot/http_api.py
@@ -138,17 +138,6 @@ def _looks_like_photo_followup(text: str) -> bool:
     if any(m in t for m in direct_markers):
         return True
 
-    # If user is correcting previous visual interpretation, route to vision again.
-    correction_markers = [
-        "неправильна відповідь", "не правильна відповідь", "не видумуй", "це не так",
-        "ти помилився", "ти помилилась", "неправильно визначив",
-        "wrong answer", "you are wrong", "that is incorrect",
-        "неправильный ответ", "это не так", "ты ошибся",
-    ]
-    photo_topic_markers = ["фото", "зображ", "рослин", "image", "photo", "plant", "растен"]
-    if any(c in t for c in correction_markers) and any(p in t for p in photo_topic_markers):
-        return True
-
     # Flexible forms: "що на ... фото/зображенні/світлині"
     if re.search(r"(що|what|что)\s+на\s+.*(фото|зображ|світлин|image|photo)", t):
         # Exclude common meta-questions
@@ -158,6 +147,37 @@ def _looks_like_photo_followup(text: str) -> bool:
     return False
 
 
+def _needs_photo_only_response(text: str) -> bool:
+    """
+    Return True only for explicit requests to analyze/describe image content.
+    Do not trigger on meta-dialogue about previous mistakes.
+    """
+    t = (text or "").strip().lower()
+    if not t:
+        return False
+    explicit_patterns = [
+        r"(що|what|что).{0,24}(на|in).{0,24}(фото|зображ|світлин|image|photo)",
+        r"(опиши|describe|проаналізуй|analyz|анализируй).{0,32}(фото|зображ|image|photo)",
+        r"(яка|какая|what).{0,28}(рослин|plant|культура).{0,28}(на|in).{0,28}(фото|image|photo)",
+    ]
+    return any(re.search(p, t) for p in explicit_patterns)
+
+
+def _is_simple_greeting(text: str) -> bool:
+    t = (text or "").strip().lower()
+    if not t:
+        return False
+    compact = re.sub(r"[^a-zа-яіїєґ0-9 ]+", "", t).strip()
+    greetings = {
+        "привіт", "вітаю", "добрий день", "доброго дня", "доброго вечора",
+        "hello", "hi", "hey", "good morning", "good evening",
+    }
+    if compact in greetings:
+        return True
+    # Short greeting variants like "привіт!" / "hi!"
+    return len(compact.split()) <= 3 and any(g in compact for g in greetings)
+
+
 def _extract_unanswered_user_messages(
     memory_context: Dict[str, Any],
     current_user_id: str,
@@ -2536,14 +2556,33 @@ async def handle_telegram_webhook(
         text = update.message.get("text", "")
         caption = update.message.get("caption", "")
 
+    # Friendly greeting fast-path for better UX and less mechanical replies.
+    if _is_simple_greeting(text):
+        greeting_reply = (
+            f"Привіт, {username or 'друже'}! Я {agent_config.name}. "
+            "Можу допомогти з фото рослин, Excel-звітами та короткими практичними порадами."
+        )
+        await send_telegram_message(chat_id, greeting_reply, telegram_token)
+        await memory_client.save_chat_turn(
+            agent_id=agent_config.agent_id,
+            team_id=dao_id,
+            user_id=f"tg:{user_id}",
+            message=text,
+            response=greeting_reply,
+            channel_id=chat_id,
+            scope="short_term",
+            save_agent_response=True,
+            agent_metadata={"greeting_fast_path": True},
+            username=username,
+        )
+        return {"ok": True, "agent": agent_config.agent_id, "mode": "greeting_fast_path"}
+
     # Photo/image intent guard:
     # if text references a photo/image, try to resolve latest file_id and route to vision.
     photo_intent = False
     if text:
         tl = text.lower()
-        photo_intent = _looks_like_photo_followup(text) or any(
-            k in tl for k in ("фото", "зображ", "світлин", "image", "photo")
-        )
+        photo_intent = _looks_like_photo_followup(text)
         if not photo_intent:
             # Robust fallback for common formulations like "що на цьому фото?"
             photo_intent = bool(
@@ -2590,8 +2629,7 @@ async def handle_telegram_webhook(
             return followup_result
 
         # Hard guard: don't send photo-related requests to text LLM path when image context is missing.
-        is_question_like = ("?" in text) or any(k in tl for k in ("що", "опиши", "проанал", "what", "describe", "analy", "что"))
-        if is_question_like:
+        if _needs_photo_only_response(text):
             await send_telegram_message(
                 chat_id,
                 "Бачу питання про фото, але не знайшов зображення в історії сесії. Надішли фото ще раз з коротким питанням, і я одразу проаналізую.",