update fast intent

src/agents/orchestration.py

@@ -46,16 +46,22 @@ class OrchestratorAgent:
             ("system", """You are an orchestrator agent. You receive recent conversation history and the user's latest message.
 
 Your task:
-1. Determine intent: question, greeting, goodbye, or other
+1. Determine intent: question, greeting, thanks, goodbye, or other
 2. Decide whether to search the user's documents (needs_search)
 3. If search is needed, rewrite the user's message into a STANDALONE search query that incorporates necessary context from conversation history. If the user says "tell me more" or "how many papers?", the search_query must spell out the full topic explicitly from history.
 4. If no search needed, provide a short direct_response (plain text only, no markdown formatting).
 
 Intent Routing:
-- question -> needs_search=True, search_query=<standalone rewritten query>
-- greeting -> needs_search=False, direct_response="Hello! How can I assist you today?"
-- goodbye -> needs_search=False, direct_response="Goodbye! Have a great day!"
-- other -> needs_search=True, search_query=<standalone rewritten query>
+- greeting -> ONLY if the message is a pure greeting with no question (e.g. "halo", "hi", "selamat pagi")
+             -> needs_search=False, direct_response="Halo! Ada yang bisa saya bantu?"
+- thanks   -> if the message is an expression of gratitude (e.g. "terima kasih", "makasih", "thanks", "thank you")
+             -> needs_search=False, direct_response="Sama-sama! Ada yang bisa saya bantu lagi?"
+- goodbye  -> if the message is a farewell (e.g. "bye", "sampai jumpa", "dadah")
+             -> needs_search=False, direct_response="Sampai jumpa! Semoga harimu menyenangkan."
+- question -> if the message contains a question or request for information, EVEN IF it starts with a greeting
+             -> needs_search=True, search_query=<standalone rewritten query>
+             -> EXAMPLE: "halo, bisa bantu jelaskan data X?" → intent=question
+- other    -> needs_search=True, search_query=<standalone rewritten query>
 """),
             MessagesPlaceholder(variable_name="history"),
             ("user", "{message}")

src/api/v1/chat.py

@@ -20,18 +20,22 @@ from typing import List, Dict, Any, Optional
 import json
 
 _GREETINGS = frozenset(["hi", "hello", "hey", "halo", "hai", "hei"])
-_GOODBYES = frozenset(["bye", "goodbye", "thanks", "thank you", "terima kasih", "sampai jumpa"])
+_THANKS    = frozenset(["thanks", "thank you", "terima kasih", "makasih", "thx"])
+_GOODBYES  = frozenset(["bye", "goodbye", "sampai jumpa", "dadah", "see you"])
 
 
 def _fast_intent(message: str) -> Optional[dict]:
-    """Bypass LLM orchestrator for obvious greetings and farewells."""
+    """Bypass LLM orchestrator for obvious greetings, thanks, and farewells."""
     lower = message.lower().strip().rstrip("!.,?")
     if lower in _GREETINGS:
         return {"intent": "greeting", "needs_search": False,
-                "direct_response": "Hello! How can I assist you today?", "search_query": ""}
+                "direct_response": "Halo! Ada yang bisa saya bantu?", "search_query": ""}
+    if lower in _THANKS:
+        return {"intent": "thanks", "needs_search": False,
+                "direct_response": "Sama-sama! Ada yang bisa saya bantu lagi?", "search_query": ""}
     if lower in _GOODBYES:
         return {"intent": "goodbye", "needs_search": False,
-                "direct_response": "Goodbye! Have a great day!", "search_query": ""}
+                "direct_response": "Sampai jumpa! Semoga harimu menyenangkan.", "search_query": ""}
     return None
 
 logger = get_logger("chat_api")

src/models/structured_output.py

@@ -6,7 +6,7 @@ from pydantic import BaseModel, Field
 class IntentClassification(BaseModel):
     """Intent classification output."""
     intent: str = Field(
-        description="The user's intent: 'question', 'greeting', 'goodbye', 'other'"
+        description="The user's intent: 'question', 'greeting', 'thanks', 'goodbye', 'other'"
     )
     needs_search: bool = Field(
         description="Whether document search is needed"