Update

main.py

@@ -166,11 +166,15 @@ class HealthcareChatbot:
 
             ## Simple Decision Process
 
-            **Step 1: Check Endpoint Match**
+            **Step 1: Understand User Need**
+            - What is the user trying to accomplish?
+            - What specific action or information do they need?
+
+            **Step 2: Check if Need Matches Any Endpoint**
             - Read each endpoint description in the documentation
-            - Check if the user query aligns with ANY endpoint's purpose/description
-            - If YES → intent = "API_ACTION"
-            - If NO → intent = "CONVERSATION"
+            - Check if the user's NEED can be fulfilled by ANY available endpoint
+            - If the user's need matches what an endpoint provides → 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
@@ -181,19 +185,18 @@ class HealthcareChatbot:
             {{
                 "intent": "CONVERSATION|API_ACTION",
                 "confidence": 0.0-1.0,
-                "reasoning": "Brief explanation of whether query matches any endpoint description",
+                "reasoning": "Brief explanation of user's need and whether any endpoint can fulfill this need",
                 "endpoint": "/endpoint/path/or/null",
                 "method": "HTTP_METHOD/or/null",
                 "params": {{}},
                 "missing_required": []
             }}
 
-            Analyze the query against the endpoint descriptions and respond with the JSON format.
+            Analyze what the user needs, then check if any endpoint can fulfill that need. Respond with the JSON format.
             """,
                 input_variables=["user_query", "detected_language", "extracted_keywords", 
                                 "sentiment_analysis", "endpoints_documentation"]
             )
-
         # CONVERSATION CHAIN - Handles conversational responses
         self.conversation_template = PromptTemplate(
             template="""