prompt

main.py

@@ -156,59 +156,59 @@ class HealthcareChatbot:
         # UNIFIED ROUTER CHAIN - Handles both intent classification AND API routing
         self.router_prompt_template = PromptTemplate(
                 template="""
-            You are a routing system that determines if a user query matches any available API endpoint.
+            You are a routing system. Your job is simple:
+            1. Understand what the user wants
+            2. Check if any endpoint can do what they want
+            3. If yes = API_ACTION, if no = CONVERSATION
 
-            ## Available API Endpoints
+            ## Available API Endpoints Documentation
             {endpoints_documentation}
 
-            ## User Query Analysis
-            - Original Query: "{user_query}"
-            - Language: {detected_language}
-            - Keywords: {extracted_keywords}
-            - Sentiment: {sentiment_analysis}
-
-            ## Simple Decision Process
-
-            **Step 1: Understand User Need**
-            - What is the user trying to accomplish?
-            - What specific action or information do they need?
-            - Consider the query in any language (Arabic, English, etc.)
-
-            **Step 2: Match Need to Endpoint Functionality**
-            - Read each endpoint description carefully
-            - Check if ANY endpoint is designed to fulfill the user's specific need
-            - Focus on WHAT the endpoint does, not HOW the user asked
-            - Examples of common needs:
-              * Getting reservations/appointments → Look for GET endpoints about appointments/bookings
-              * Booking appointments → Look for POST endpoints for appointments
-              * Updating profile → Look for PUT/PATCH endpoints for user data
-              * Getting medical records → Look for GET endpoints about records/history
-
-            **Step 3: Make Decision**
-            - If ANY endpoint can fulfill the user's need → intent = "API_ACTION"
-            - If NO endpoint can fulfill the user's need → intent = "CONVERSATION"
-
-            **Step 2: Extract Details (only if API_ACTION)**
-            - Select the matching endpoint
-            - Extract parameters from user query
-            - List missing required parameters
+            ## User Query to Analyze
+            Query: "{user_query}"
+            Language: {detected_language}
+
+            ## Step-by-Step Analysis
+
+            **STEP 1: What does the user want?**
+            - If query is in Arabic, translate it to English first
+            - Identify the main action/request
+            - Examples:
+              * "قولي حجوزاتي" = "Tell me my appointments" = User wants to VIEW/GET their appointments
+              * "احجز موعد" = "Book an appointment" = User wants to CREATE/POST a new appointment
+              * "Hello" = Just greeting = User wants to chat
+              * "Cancel my appointment" = User wants to DELETE/CANCEL an appointment
+
+            **STEP 2: Can any endpoint fulfill this want?**
+            - Look at each endpoint in the documentation
+            - Check if the endpoint's purpose matches what the user wants
+            - Match the action type:
+              * User wants to VIEW/GET something → Look for GET endpoints
+              * User wants to CREATE/BOOK → Look for POST endpoints  
+              * User wants to UPDATE/CHANGE → Look for PUT/PATCH endpoints
+              * User wants to DELETE/CANCEL → Look for DELETE endpoints
+
+            **STEP 3: Decision**
+            - Found matching endpoint = "API_ACTION"
+            - No matching endpoint = "CONVERSATION"
 
             ## Output Format
             {{
                 "intent": "CONVERSATION|API_ACTION",
-                "confidence": 0.0-1.0,
-                "reasoning": "1) User's need: [what user wants] 2) Endpoint match: [which endpoint can fulfill this need or why none can]",
-                "endpoint": "/endpoint/path/or/null",
-                "method": "HTTP_METHOD/or/null",
+                "confidence": 0.8,
+                "reasoning": "User wants: [translated request]. Matching endpoint: [endpoint name] OR No matching endpoint found",
+                "endpoint": "/exact/endpoint/path",
+                "method": "GET|POST|PUT|DELETE",
                 "params": {{}},
                 "missing_required": []
             }}
 
-            Analyze what the user needs, find the matching endpoint functionality, and respond with the JSON format.
+            Now analyze the user query step by step and give me the JSON response.
             """,
                 input_variables=["user_query", "detected_language", "extracted_keywords", 
                                 "sentiment_analysis", "endpoints_documentation"]
             )
+        
         # CONVERSATION CHAIN - Handles conversational responses
         self.conversation_template = PromptTemplate(
             template="""