Update main.py

main.py

@@ -316,7 +316,7 @@ async def chat_with_ai(input_data: ChatInput):
     try:
         msg_norm = (input_data.user_message or "").lower().strip()
 
-        # Yes/No handlers
+        # Yes/No
         if msg_norm in ("yes", "y", "sure", "ok", "okay"):
             return {
                 "bot_response": "Great! Tell me what you'd like to do next — check another ticket, create an incident, or describe your issue.",
@@ -335,7 +335,7 @@ async def chat_with_ai(input_data: ChatInput):
                 "debug": {"intent": "end_conversation"},
             }
 
-        # Resolution ack (auto incident + mark Resolved)
+        # Resolution ack → auto incident + resolve
         is_llm_resolved = _classify_resolution_llm(input_data.user_message)
         if _has_negation_resolved(msg_norm):
             is_llm_resolved = False
@@ -463,7 +463,7 @@ async def chat_with_ai(input_data: ChatInput):
             except Exception as e:
                 raise HTTPException(status_code=500, detail=safe_str(e))
 
-        # Generic opener / very short
+        # Generic opener
         if len(msg_norm.split()) <= 2 or any(p in msg_norm for p in ("issue", "problem", "help", "support")):
             return {
                 "bot_response": _build_clarifying_message(),
@@ -548,11 +548,9 @@ async def chat_with_ai(input_data: ChatInput):
                 "debug": {"intent": "errors_no_context"},
             }
 
-        # Build LLM prompt (mirror language)
+        # Build LLM prompt
         language_hint = _detect_language_hint(input_data.user_message)
         lang_line = f"Respond in {language_hint}." if language_hint else "Respond in a clear, polite tone."
-
-        # Steps → no LLM; Errors → LLM paraphrase
         use_gemini = (detected_intent == "errors")
         enhanced_prompt = f"""You are a helpful support assistant. Rewrite the provided context ONLY into clear, user-friendly guidance.
 - Do not add any information that is not present in the context.