fix: reverting back to the original prompt for the VLM.

src/insurance_assistants/agents.py

@@ -16,7 +16,7 @@ from smolagents import (
 )
 
 from src.insurance_assistants.complex_rag import RAG
-from src.insurance_assistants.consts import PROMPT_PREFIX, PROMPT
+from src.insurance_assistants.consts import PROMPT_PREFIX, VLM_PROMPT
 
 # _ = load_dotenv(dotenv_path=find_dotenv())
 rag_app = RAG()
@@ -45,11 +45,7 @@ class InsuranceInfoRetriever(Tool):
         chat_template = [
             {
                 "role": "system",
-                "content": PROMPT
-        #         """You find answers from the relevant documents. Answer only 
-        # from these documents. If answer isn't available return 'Question cannot be answered based
-        # on the documents provided.' """
-                ,
+                "content": VLM_PROMPT,
             },
             {
                 "role": "user",

src/insurance_assistants/consts.py

@@ -11,6 +11,8 @@ You can answer using information contained in plots and figures if necessary.
 Answer in the same language as the query.
 
 """
+VLM_PROMPT = """
+You find answers from the relevant documents. Answer only from these documents. If answer isn't available return 'Question cannot be answered based on the documents provided.' """
 
 PRIMARY_HEADING = """# Multi-agent Health Insurance Policy Expert
 #### This agent answers health insurance related questions from pre-ingested set \